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Author SHA1 Message Date
Abimael Martell 399e83caf2 fix(site): refresh benchmark results 2026-08-06 12:44:34 -07:00
Andrew Barnes 54a1e9ab74 Preserve page-prefixed Markdown content (#284) 2026-08-06 12:14:27 -07:00
m-naoki-mandClaude Opus 5 fabbb63521 fix(tounicode): skip subset GID remap for CIDFontType0 (CFF) descendants (#209)
* fix(tounicode): skip subset GID remap for CIDFontType0 (CFF) descendants

The sequential-GID repair in try_remap_subset_cmap assumes CIDs are glyph
indices that a subsetter can renumber. That holds for CIDFontType2
(TrueType) but not for CIDFontType0 (CFF), where CIDs are resolved through
the CFF charset, so a valid ToUnicode CMap stays valid after subsetting.

For CFF fonts the corrupting path was unavoidable: CIDToGIDMap is
CIDFontType2-only (PDF 32000-1:2008, 9.7.4.2), so the branch that repairs
the CMap correctly can never be taken, and any CFF font whose /W array
starts at a low CID fell through into remap_to_sequential. Japanese
Adobe-Japan1 documents extracted as long runs of a single unrelated kanji.

Guard both repair paths on a CIDFontType2 descendant, placed before the
CIDToGIDMap branch so a CIDToGIDMap wrongly attached to a CFF font by a
malformed producer is ignored too.

On a National Diet Library proceedings PDF: 1233 U+FFFD in 69099 chars
before, 0 in 68331 after; character 3-gram recall against a hand-written
ground truth 0.354 -> 0.605. The PDF from #118 (CIDFontType2) extracts
byte-identically before and after.

Two existing tests build descendant dicts without a /Subtype and set
CIDToGIDMap, which is CIDFontType2-only, so the fixtures now say what they
already meant. Without that, test_try_remap_skipped_when_w_covers_cmap
would keep passing while no longer exercising the W-coverage logic.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

* fix(tounicode): resolve indirect /Subtype, skip only explicit non-CIDFontType2

Addresses review feedback on the guard added in the previous commit.

- /Subtype may be an indirect reference, and as_name() does not dereference
  it. A genuine CIDFontType2 font storing /Subtype indirectly would have been
  read as "not CIDFontType2", returning early and losing the repair it needs —
  reintroducing the corruption this PR fixes, for those fonts. Resolve the
  reference through the document before comparing.

- Bail out only when /Subtype is explicitly a non-CIDFontType2 name. A missing
  or unresolvable /Subtype now keeps the pre-existing behaviour instead of
  silently disabling the repair. As a result the two existing tests no longer
  need fixture changes, and this commit reverts those; the diff against main
  is now additive only.

- The CFF regression test now attaches a real CIDToGIDMap stream rather than
  /Identity, which get_cid_to_gid_map treats as "no map". With the stream, the
  test also fails if the guard is moved back below the CIDToGIDMap branch —
  verified by moving it and watching it fail.

- Added test_try_remap_resolves_indirect_subtype.

cargo fmt --check, cargo clippy -- -D warnings and cargo test (862 tests) pass.
The Diet PDF still extracts with 0 U+FFFD and the #118 PDF is still unchanged.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

---------

Co-authored-by: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-08-06 12:02:27 -07:00
585d36e6a6 fix: recover from a corrupted startxref pointer (#230)
* fix: recover from a corrupted startxref pointer

Fixes #228.

A PDF whose startxref pointer has been corrupted to point at the wrong
byte offset — a single flipped digit, which is what damaged writers
emit in the wild — was entirely unprocessable: every entry point
(classify_pdf, extract_pages_markdown, process_pdf) raised "Invalid
PDF structure", even though the file's object data, real xref table,
and trailer were all completely intact just past the wrong pointer.
Both pypdf and pdfium recover from this by locating the real table
directly instead of trusting the pointer; lopdf doesn't.

Added a new repair candidate (alongside the existing
missing-%%EOF-marker and stripped-leading-bytes repairs in
repair_pdf_container_candidates): scan the buffer for the real,
standalone `xref` keyword and append a corrected trailing
`startxref`/`%%EOF` block. lopdf's own get_xref_start always reads the
*last* `%%EOF` in the final 512 bytes of the buffer and the
`startxref` value immediately before it, so the appended block
transparently supersedes the corrupted one already in the file — no
in-place byte surgery on content the original writer produced.

Scoped to classic (non-stream) xref tables, matching the reported
repro and the common case; a corrupted pointer into a cross-reference
*stream* (`N 0 obj << /Type /XRef ...>>`, some PDF 1.5+ writers) would
need the containing object's number, not just a byte offset — out of
scope here.

Verified against the issue's exact repro (a valid one-page PDF with a
single corrupted byte in its startxref offset): before this fix,
process_pdf/classify_pdf/extract_pages_markdown all raised "Invalid
PDF structure"; after, both the page count and the real extracted text
("Order Detail Report by Account", "WIDGET ASSEMBLY", the dollar
amount) come back correctly. New regression test added.

Full suite (859 tests, 1 new) passes; cargo clippy --all-targets
-- -D warnings unchanged at 28 pre-existing/unrelated errors.

* fix: validate xref table shape and scan in a single reverse pass

Addresses cubic-dev-ai's review of #230.

- P2 (correctness/safety): the recovery candidate trusted the last
  standalone "xref" token unconditionally, without confirming it's
  actually a cross-reference table. A coincidental "xref" substring
  inside unrelated content — a stream, a string, uncompressed
  metadata — could get "repaired" against a bogus offset, letting
  lopdf load successfully against garbage instead of returning a
  clean error: a real failure turned into silent data corruption on
  the fallback path. Added looks_like_xref_subsection_header, which
  confirms a plausible classic xref subsection header (`<start-id>
  <count>`, e.g. "0 6" — the shape every real classic table starts
  with) actually follows the candidate token before accepting it.
  find_last_valid_xref_table_start now walks backward from the end of
  the buffer until it finds a token that both stands alone *and*
  validates, rather than accepting the first (rightmost) standalone
  match unconditionally.

- P2 (performance): the old scan re-invoked
  `buf[..search_end].windows(4).rposition(...)` on a shrinking prefix
  every time a candidate token failed the boundary check, which is
  quadratic on a pathological buffer with many non-standalone "xref"
  occurrences. Rewrote as a single reverse byte-index walk — O(n)
  regardless of how many false candidates it has to reject along the
  way.

Added direct unit tests on the byte-level scan (more precise than
constructing adversarial full PDFs, and the coincidental-match
scenario can't be represented in an integration-test fixture anyway
since reportlab compresses page content by default): a coincidental
standalone "xref" with no subsection header is rejected; a real
classic table is found; a coincidental match positioned *after* the
real table in the buffer doesn't shadow it; "xref" as a substring of
"startxref" still doesn't match. The original #228 repro (corrupted
startxref pointer, real table otherwise intact) is unaffected —
verified manually in addition to the existing integration test.

Full suite (863 tests, 5 new) passes; cargo clippy --all-targets
-- -D warnings unchanged at 28 pre-existing/unrelated errors.

* fix: reject xref subsection count runs with trailing garbage

looks_like_xref_subsection_header validated that a count run of digits
followed the whitespace separator, but never checked what came after
it. A coincidental "xref\n0 6garbage" in stream/literal content would
still validate as a real subsection header shape and get repaired
against a bogus offset.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>

---------

Co-authored-by: Claude Sonnet 5 <noreply@anthropic.com>
Co-authored-by: Abimael Martell <1450169+abimaelmartell@users.noreply.github.com>
2026-08-05 16:43:11 -07:00
371de80b14 fix: extract_pages_markdown's needs_ocr now agrees with classify_pdf (#231)
* fix: extract_pages_markdown's needs_ocr now agrees with classify_pdf

Fixes #227.

extract_pages_markdown_mem computed its per-page needs_ocr entirely
from text-quality signals: decoding/garble issues, empty markdown, GID
fonts, garbage-text ratio. It had no awareness of the page's image
content at all — so a page that is fundamentally a full-page scan
with a little genuine native text drawn over it (a header, a stamp, a
cover-sheet annotation) extracts that text cleanly, trips none of the
text-quality checks, and reports needs_ocr=false — while
classify_pdf/detect_pdf_type correctly see the dominant background
image and flag the same page as needing OCR. Two public APIs
answering the same question, silently disagreeing, in the unsafe
direction (skipping OCR on a page that needs it).

Exposed detector::analyze_page_images at crate visibility (was
private) and call it per page in extract_pages_markdown_mem's loop —
the same "large background image" signal (>50% page coverage) that
already powers has_template_image in classify_pdf/detect_pdf_type,
rather than reimplementing image-area detection a second time with
its own thresholds that could drift out of sync again. When it's
true, the page is flagged needs_ocr (with OCR_REASON_SCANNED added
to ocr_reasons_by_page, matching how the same signal is already
reported elsewhere) and its markdown is blanked, exactly like the
existing text-quality-triggered needs_ocr paths already do — no
special-casing added for "cleanly-extracted-but-still-a-scan" text.

Verified against the issue's exact repro (a full-page raster with one
native text line drawn over it, built via reportlab/pillow): before
this fix, extract_pages_markdown_bytes reported page 0
needs_ocr=False with the header line as markdown while
classify_pdf_bytes correctly flagged pages_needing_ocr=[0]; after,
both agree needs_ocr=True and the page's markdown is empty. Confirmed
no regression on a normal text-based fixture (nexo-price-en.pdf:
needs_ocr stays False, full markdown returned). New Rust regression
test added exercising both APIs against the same fixture.

Full suite (860 tests, 1 new) passes; cargo clippy --all-targets
-- -D warnings unchanged at 28 pre-existing/unrelated errors.

* fix: gate has_template_image behind the same OCR signals classify_pdf uses

extract_pages_markdown_mem was treating has_template_image alone as
sufficient to force needs_ocr=true and discard the page's markdown, but
classify_pdf/detect_pdf_type never treats that raw signal alone as
needing OCR. A text page with a full-bleed watermark, letterhead, or
large figure would get its clean markdown wrongly blanked and routed
to OCR.

Added page_template_image_needs_ocr(), mirroring the two distinct
signals classify_pdf actually uses to decide a template-image page
needs OCR: the looks_like_scan gate (image_count <= 1, few text ops,
low alphanumeric diversity) used for Mixed-type routing, and the
insufficient-text-volume signal (text_operator_count < 10) that routes
a page with a dominant background image and only a couple of native
text calls to PdfType::ImageBased independent of looks_like_scan.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>

* fix: match per-page OCR threshold and add missing vector-text signal

Two follow-up findings on the has_template_image gate added in the
previous commit:

1. insufficient_text used a hard-coded threshold of 10 text operators,
   but Mixed-type per-page routing (the actual per-page decision this
   function tries to agree with) uses config.min_text_ops_per_page
   (default 3). The higher 10 threshold was borrowed from a *different*
   classify_pdf code path — the effective_min_ops floor used only for
   whole-document ImageBased/Scanned classification, a cross-page
   aggregate this per-page function can't replicate anyway. Using the
   lower per-page threshold removes a real disagreement window
   (3-9 text ops with high alphanumeric diversity) without breaking
   the #227 regression fixture (text_ops=1, still well under 3).

2. extract_pages_markdown_mem never checked has_vector_text at all,
   even though Mixed-type per-page routing always sends
   vector-outlined-text pages to OCR (outlined glyphs can't be
   extracted as text). A page with massive path ops plus a short
   genuine caption could extract that caption cleanly, slipping past
   the existing empty/garbage-text checks. Added
   page_has_vector_text() and wired it into needs_ocr the same way
   has_template_image is.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>

* perf: compute template-image and vector-text OCR signals in one pass

page_template_image_needs_ocr and page_has_vector_text each called
analyze_page_content independently, so every requested page's content
streams (page + XObjects) and image coverage were decompressed and
scanned twice per page with one result discarded each time.
detect_from_document avoids this by caching its per-page PageAnalysis;
extract_pages_markdown_mem had no such cache.

Merged both into page_ocr_signals(), a single analyze_page_content
call returning both signals as a tuple.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>

---------

Co-authored-by: Claude Sonnet 5 <noreply@anthropic.com>
Co-authored-by: Abimael Martell <1450169+abimaelmartell@users.noreply.github.com>
2026-08-05 15:41:44 -07:00
Abimael Martell ede48099c0 fix(layout): preserve ruled tables and chart prose order (#262)
* fix(layout): preserve ruled tables and chart prose order

* fix(layout): harden chart region detection

* fix(layout): tighten chart geometry guards

* fix(layout): bound chart inference

* fix(layout): tighten chart claim bounds

* fix(layout): tighten chart evidence

* fix(layout): preserve edge-adjacent chart labels

* fix(layout): require external chart label overlap
2026-08-05 10:22:13 -07:00
Abimael Martell 12e9a655e3 fix(extractor): supply built-in metrics for non-embedded base-14 fonts (#241)
* fix(extractor): supply built-in metrics for non-embedded base-14 fonts

PDFs may legally omit /Widths for non-embedded standard fonts (Times,
Helvetica, Courier, Symbol, ZapfDingbats) — the spec requires the reader
to supply the metrics. We returned None, so every glyph advanced 0 and
each text item got width 0, silently breaking every gap-based heuristic
downstream: space synthesis, sub/superscript detection, table column
detection, heading merging.

- src/extractor/base14.rs: Adobe Core-14 AFM width tables keyed by
  Unicode char, plus the standard Symbol/ZapfDingbats encoding vectors
  (their glyphs sit at byte positions unrelated to Latin text, so widths
  must resolve through the built-in encoding, not cp1252)
- Width resolution order: Differences -> built-in encoding -> the same
  cp1252-style fallback the text decoder uses, so a code's advance always
  matches the character we emit for it
- Type3 visual sizing: PK bitmap fonts (dvips) use FontMatrix
  [1 0 0 -1 0 0] with nominal sizes like 0.12pt; scale by FontBBox height
  x |matrix_y|. Applied in the page-stream and Form XObject paths.
  Indirect numeric array elements are resolved before use.

Effect on Shannon's 'A Mathematical Theory of Communication' (1998
dvips/Distiller, the reported case): glued sentences 95 -> 5. Corpus
impact: 12 of 184 eval documents, e.g. Data-Processing-Agreement
recovers a paragraph that a phantom table had shredded into cells.

Layout heuristics tuned on the same document (indent-based paragraph
breaks, heading reclassification, table script filtering) are held back
for a separate PR — they change ~98 further documents and need to be
justified against the corpus, not against one PDF.

* review: narrow Type3 rescaling to self-inconsistent fonts; dedup + test all width tables

Addresses cubic review on #241, plus a follow-up from a local cubic run.

- Type3 visual scaling was applied to every Type3 font whose FontBBox
  height x |matrix_y| deviated >5% from 1.0. FontBBox is the glyph box,
  not the em box, so a conventional 1/1000-matrix font with a
  descender..ascender bbox (~700 units) computed 0.7 and had every
  reported size shrunk by 30% — corrupting the drop-cap, heading-tier,
  sub/superscript and table heuristics this is meant to fix.

  First attempt gated on the matrix being unit-scale, but a local cubic
  run pointed out that wrongly excludes valid non-standard matrices (a
  0.005 matrix with a full-em bbox legitimately needs a 5x scale). The
  product is the right discriminator, not the matrix: a self-consistent
  font lands near 1.0 because the matrix is the reciprocal of the
  glyph-space em, so only a wildly inconsistent one (dvips/PK bitmap
  fonts sit at ~159) is renormalized. Band widened to [0.25, 4.0].

  Corpus effect: 12 -> 7 documents change. The 5 that drop out were
  being wrongly rescaled — including Data-Processing-Agreement, whose
  phantom-table fix turned out to come from this bug rather than from
  the width fallback, so it is correctly given up.

- base14: all 14 width tables now covered by the sort-invariant test via
  an ALL_TABLES registry, not a hand-picked subset.
- base14: identical tables share one static (all four Courier variants
  are monospace 600; the oblique Helvetica variants match their upright
  forms), removing 5 duplicate copies.

* test: refresh Shannon snapshot after merging main

CI checks out a merge of the PR head with main, and main advanced 8
commits since this branch was cut — including #201 (contextual digit
runs), #240 and #253 (markdown fixes). Those change extraction output,
so a snapshot generated on the unmerged branch could not match; the
Test job failed on the merge commit while passing on the branch itself.

The merged behaviour is better: the footnote marker '2' before
'Hartley, R. V. L.' is now recovered instead of dropped.

950 tests pass on the merged tree, clippy clean.
2026-08-04 18:00:43 -07:00
Abimael MartellandClaude Fable 5 1d134e26aa docs: sync AGENTS.md with CLAUDE.md, refresh eval workflow guidance (#243)
AGENTS.md was stale (179+ PDFs, missing the semantic-quality bullet).
Both files now match: ~200-PDF corpus, and iteration guidance to prefer
subset runs (bench.py test -q / -s <name>) with the full suite as the
final pre-commit check.

Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
2026-08-04 17:26:04 -07:00
Shubham Mathur bfd6c3eabb fix(extractor): make the comment stripper escape-aware (#259)
strip_pdf_comments tracked parenthesis nesting to protect string
literals, but ignored backslash escapes. An escaped \) desynced the
depth counter, after which a % glyph inside a string was stripped as a
top-level comment, corrupting the stream for Content::decode and
silently truncating the page's text.

Treat \ inside a string literal as escaping the next byte, so \(,
\), and \\ never touch the nesting depth.
2026-08-04 16:22:25 -07:00
Sheroy Cooper 04abab951f Support password-protected PDF item JSON extraction (#245) 2026-08-04 12:41:22 -07:00
Sunil a410d5aa08 fix: sync Python type stubs (.pyi) with actual bindings and fix doc bugs (#250)
## Bug 1: Python type stubs missing 5 fields/classes

The pdf_inspector.pyi file was out of sync with the actual Python
bindings exposed via #[pyo3(get)] in src/python.rs. This breaks
IDE autocompletion and type checking (PyCharm, VS Code/Pylance, mypy)
for all Python users.

Added:
- PdfResult.ocr_reasons_by_page (python.rs:35)
- PageOcrReasons class with page and 
easons fields (python.rs:67-86)
- RegionText.ocr_reason (python.rs:136)
- PageMarkdown.ocr_reason (python.rs:193)
- PagesExtractionResult.ocr_reasons_by_page (python.rs:226)

## Bug 2: PdfResult.pages_needing_ocr indexing undocumented

PdfResult.pages_needing_ocr is 1-indexed (per python.rs:30) but
neither the .pyi stubs nor docs/python.md annotated this, while the
same field on PdfClassification was annotated as 0-indexed. Users
mixing both APIs would get wrong page numbers.

## Bug 3: README.md duplicate bullet character

The Markdown features table listed * twice in bullet prefixes.
The first should be ullet (U+2022), matching the actual source code in
src/markdown/mod.rs:34 which uses: ullet, dash, sterisk, circle, illed-circle, open-circle.

## Bug 4: docs/python.md missing fields in type reference

The Types section was missing PageOcrReasons, RegionText class
definition, ocr_reason fields, and ocr_reasons_by_page fields.

## Evidence

Cross-referenced every #[pyo3(get)] attribute in src/python.rs
against the .pyi declarations and docs/python.md type reference.
2026-08-04 12:36:30 -07:00
Abimael Martell 7747b3a086 fix(markdown): reject non-text strikeout rules (#253)
* fix(markdown): reject non-text strikeout rules

* fix(markdown): address strikeout ownership edge cases

* fix(markdown): reject connected filled strike rules

* fix(markdown): group drifted strikeout runs
2026-08-04 11:31:58 -07:00
ae6246ba0c fix(markdown): preserve redline edits in prose (#240)
* fix(markdown): preserve redline edits in prose

* fix(tables): preserve live evidence near redlines

* fix(tables): scope redline table suppression

* fix(tables): preserve revised cell evidence

* fix(tables): retain page context for redlines

* fix(tables): propagate revised column evidence

* fix(tables): preserve redline boundaries in headers

* fix(tables): separate redline suppression spans

* fix(tables): tighten revised cell evidence

---------

Co-authored-by: Bryan Nathan <bryan@users.noreply.github.com>
Co-authored-by: Abimael Martell <1450169+abimaelmartell@users.noreply.github.com>
2026-08-03 20:08:39 -07:00
Abimael Martell 3fb545284b fix(layout): preserve contextual digit runs (#201)
* fix(layout): preserve contextual digit runs

* fix(layout): harden page folio filtering

* fix(markdown): distinguish folios from contextual numbers

* fix(layout): distinguish running folios from contextual digits

* fix(layout): tighten running folio evidence

* test(layout): guard the folio evidence floor

* fix(layout): preserve page-number decisions across partitions

* fix(layout): harden document-level folio filtering

* fix(markdown): carry folio context across public APIs

* fix(layout): isolate folios from layout metadata

* fix(markdown): preserve table cells in per-page extraction

* fix(layout): preserve folio context with page filters

* fix(layout): handle contextual folio sequences

* fix(layout): tighten adjacent folio evidence

* fix(layout): constrain folio context inference

* fix(forms): resolve widget pages from annotations
2026-08-03 16:35:52 -07:00
Jase-Omeileo West 1c32e4bd69 fix(deps): bump lopdf to 0.42.0 for nesting-depth DoS (#198)
Bumps lopdf from 0.41.0 to 0.42.0 to fix RUSTSEC-2026-0187, preventing deeply nested PDFs from causing an unrecoverable stack-overflow process abort.
2026-08-03 11:08:34 -07:00
Abimael Martell 8121ae97ce chore(ci): bump GitHub Actions to current majors (#237)
* chore(ci): bump GitHub Actions to current majors

Node 20 action runtimes are deprecated on GitHub runners; bump every
first-party action to its latest major across all workflows:

- actions/checkout v4/v6 -> v7
- actions/cache v4 -> v6
- actions/upload-artifact v4 -> v7, download-artifact v4 -> v8
- actions/setup-node v6 -> v7, setup-python v5 -> v7
- actions/upload-pages-artifact v3 -> v5, deploy-pages v4 -> v5

Third-party pins (dtolnay/rust-toolchain, Swatinem/rust-cache,
setup-zig, setup-bun, taiki-e/install-action, maturin-action) are
already on their latest majors.

* chore(ci): pin all actions to full commit SHAs

Mutable @vN tags can be retagged; in the publish workflows that code
runs with OIDC credentials before npm/PyPI/crates.io publishes. Pin
every action (first- and third-party) to its release commit SHA with
the version in a trailing comment.

dtolnay/rust-toolchain infers the toolchain from its ref name, so the
SHA-pinned invocations pass an explicit toolchain: stable input.
2026-08-03 11:07:36 -07:00
Abimael Martell 98990cc550 feat(npm): add Linux musl and ARM64 N-API binaries (#233)
Adds x86_64-unknown-linux-musl, aarch64-unknown-linux-gnu, and
aarch64-unknown-linux-musl to the napi build targets so
@firecrawl/pdf-inspector works on Alpine and ARM64 Linux deployments.

- gnu arm64 cross-compiles with --use-napi-cross (old-glibc sysroot),
  musl targets with -x (zig + cargo-zigbuild), per the napi-rs template
- new platform packages carry npm libc metadata (glibc/musl)
- smoke-test job runs napi/test.mjs on all six targets before publish
  (Alpine containers for musl, ubuntu-24.04-arm runners for ARM64)
- bump to 1.12.0 to trigger publishing of all platform packages

Closes #216
2026-08-03 10:09:23 -07:00
Abimael Martell a15ec2d68d docs(readme): refresh local parser benchmark results (#192)
* docs(readme): refresh parser benchmark results

* docs(readme): include stored parser results

* docs(readme): refresh remaining parser results

* docs: sync benchmark references
2026-07-31 22:58:46 -06:00
Abimael Martell 7b7960ee73 chore(pypi): bump pdf-inspector to 0.2.6 (#188) 2026-07-31 17:12:34 -06:00
Abimael Martell 7188667045 chore(wasm): bump @firecrawl/pdf-inspector-wasm to 0.1.3 (#190) 2026-07-31 16:43:52 -06:00
Abimael Martell 6ff104409a chore(npm): bump @firecrawl/pdf-inspector to 1.11.2 (#189) 2026-07-31 16:37:50 -06:00
Abimael Martell 5e8f1570f6 chore(crate): bump pdf-inspector to 0.1.7 (#187) 2026-07-31 16:25:57 -06:00
tomsideguide b31e4b1727 fix(extractor): don't flag gid Differences names covered by ToUnicode (#186)
* fix(extractor): don't flag gid Differences names covered by ToUnicode

Pages were marked as having unresolvable gid-encoded fonts whenever any
font's /Differences array used gidNNNN glyph names, and when every page
carried such a font the whole document's markdown was suppressed.
LibreOffice exports do exactly this: subset fonts get /gidNNNN names in
Differences alongside a complete ToUnicode CMap that decodes them, so
ordinary text documents lost their entire markdown output even though
extraction decoded every glyph.

Track the character codes behind the gid names and only flag the font
when its ToUnicode CMap addresses none of them. Partially mapped codes
stay unflagged: an emoji ZWJ sequence maps whole on its first code, and
the remaining component-glyph codes are subset leftovers, not damage.
Fonts without ToUnicode, or whose CMap ignores the gid codes, are
flagged as before, and the downstream garbage/encoding checks still
catch partial breakage.

* fix(extractor): require a usable ToUnicode mapping to clear the gid flag

A mapping to U+FFFD (or an empty string) is rejected by extraction as
an invalid CMap result, so it must not count as decodable when deciding
whether gid-named Differences codes are resolvable.
2026-07-31 15:54:19 -06:00
Abimael Martell 3c6eb8bf6b feat(site): add local WebAssembly demo (#181)
* feat(site): add local WebAssembly demo

* feat(site): parse PDFs on selection
2026-07-17 15:00:47 -07:00
Abimael Martell 5b287341a0 feat(wasm): add browser bindings (#180)
* feat(wasm): add browser bindings

* fix(wasm): address review feedback

* fix(wasm): preserve numeric plain text

* chore(wasm): prepare 0.1.2 release
2026-07-17 14:09:43 -07:00
Abimael Martell 55d50ad1c4 docs(site): redesign open-source project page (#179)
* docs(site): redesign open-source project page

* docs(site): lead with node and cli

* docs(site): emphasize package registries

* docs(site): align footer wordmark

* docs(site): remove hero terminal scrollbar

* docs(site): keep hero install command inline

* docs(site): feature rust core in hero

* docs(site): add hero language playground

* Revert "docs(site): add hero language playground"

This reverts commit 16df5fcf07.
2026-07-16 22:55:51 -07:00
Abimael Martell a910b7df1d docs(benchmark): refresh parser comparison (#178)
* docs: refresh benchmark comparison

* docs(site): refresh benchmark section

* docs: reframe benchmark positioning

* docs: focus benchmark positioning on best fit
2026-07-16 17:43:53 -07:00
Abimael Martell 15c0b22093 test(bench): probe optional backend evidence (#176)
* test(bench): probe optional backend evidence

* fix(bench): accept native stext pages
2026-07-16 15:25:37 -07:00
Abimael Martell 0c06dac976 test(bench): compare OpenDataLoader builds (#175)
* test(bench): compare OpenDataLoader builds

* docs(bench): keep reference comparisons generic

* fix(bench): keep regression gates complete

* fix(bench): clarify missing reference gates

* fix(bench): validate nonnegative limits

* fix(bench): isolate prediction runs

* chore(bench): refresh review
2026-07-16 14:25:25 -07:00
Abimael Martell 64a0930f9f feat(layout): order image-anchored regions (#174)
* feat(layout): order image-anchored regions

* fix(layout): preserve region flow boundaries

* fix(layout): gate image-backed column flows
2026-07-16 12:37:54 -07:00
Abimael Martell c726a92435 feat(tables): score competing line-table candidates (#177)
* feat(tables): score competing line-table candidates

* fix(tables): validate competing hypotheses

* fix(tables): preserve multiline open-edge headers

* fix(tables): recover two-column open-edge grids

* fix(tables): retain multiple open-edge grids
2026-07-16 11:32:37 -07:00
Abimael Martell 1b5ec414a4 feat(tables): compete normalized table and chart evidence (#172)
* feat(tables): compete normalized table and chart evidence

* fix(tables): preserve normalized hypotheses
2026-07-16 03:15:05 -07:00
Abimael Martell a0a6a445bf feat(tables): infer columns from horizontal-rule text anchors (#171)
* feat(tables): infer columns from horizontal-rule text anchors

* fix(tables): scope sparse-rule vertical evidence

* fix(tables): validate sparse-rule evidence by content

* fix(tables): preserve independent line-table regions

* fix(tables): isolate sparse-rule regions
2026-07-16 01:58:21 -07:00
Abimael Martell 4c71feb2f1 feat(markdown): classify document heading sequences (#170)
* feat(markdown): classify document heading sequences

* fix(markdown): harden heading sequence evidence

* fix(markdown): validate fixed-size sidebar evidence

* fix(markdown): harden sidebar sequence guards
2026-07-15 23:07:59 -07:00
Abimael Martell 660ffe4a0c feat(markdown): gate chart pages before table detection (#169)
* feat(markdown): add chart-aware layout gating

* fix(markdown): keep chart labels in separator zones

* fix(markdown): harden chart layout gating

* fix(markdown): order chart page blocks by stream

* fix(markdown): narrow parallel prose rejection

* fix(markdown): require cross-row prose evidence

* fix(markdown): classify chart labels by geometry

* fix(markdown): harden chart block ordering

* fix(markdown): cache chart blocks and retry tables

* fix(markdown): preserve chart order with physical bands
2026-07-15 21:08:58 -07:00
Abimael Martell b084769fda feat(markdown): add fidelity output profile (#168) 2026-07-15 17:18:16 -07:00
Abimael MartellandClaude Fable 5 f741e49dec fix(headings): all-bold single words qualify as headings when standalone (#167)
Single-word bold section headings ('Replace', 'Trash', 'Instructions')
required a paragraph break before AND after, but headings hug their
section's first paragraph — the break-after almost never exists. A
standalone all-bold single word (>=4 chars, paragraph break before or
page top) now classifies; mixed bold lead-ins ('Note: ...') stay
excluded via all_bold.

opendataloader-bench: 0.8567 -> 0.8575, MHS 0.773 -> 0.776; docs 145
+0.118, 069 +0.112 (net of one cover-page layout shuffle at -0.066
where the new output is semantically closer to GT). pdf-evals: 66
snapshots, composite 0.5864 -> 0.5883, sole >0.02 mover positive.
p1244/thermo fixture snapshots regenerated ('Instructions' un-fuses
from its body paragraph — the intended behavior).

Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
2026-07-15 14:44:46 -07:00
Abimael MartellandClaude Fable 5 0f898a18fb fix(headings): digit-only lines do not define heading tiers (#166)
* fix(headings): digit-only lines do not define heading tiers

A large bold page number (14pt folio over 11pt body) claimed tier 0:
every real heading demoted one level document-wide, and the bold-size
fallback (which requires an empty tier list) was blocked for documents
whose headings match body size.

Bench-neutral (MHS scores relative hierarchy); pdf-evals: 18 docs get
their heading levels back (#### -> ###), semantic composite +0.0006,
no percentile down.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

* fix(headings): exclude digit-only lines from the bold fallback tier pass too

The exclusion in the main pass wasn't enough: with the page-number
tier gone, the bold fallback re-collected the same bold folio. Also
regenerates the thermo-freon12 snapshot (cosmetic churn on the
scrambled legend fixture).

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

---------

Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
2026-07-15 13:42:41 -07:00
Abimael MartellandClaude Fable 5 c908e33b39 fix(fonts): remap misnamed TeXCMMathsSymbols glyphs to their true symbols (#165)
IntechOpen-family academic PDFs embed Computer Modern math symbol
subsets whose glyphs are misnamed after Latin lookalikes (equal →
/onequarter, plus → /thorn, parens → /eth //Thorn) — and the generated
ToUnicode faithfully propagates the wrong names, so formulas decode as
'S ¼ kB þ 1' instead of 'S = kB + 1'.

Remap the observed misnames, gated strictly on the TeXCMMathsSymbols
base font (subset prefix stripped) so genuine fractions and thorns in
text fonts are untouched. Known limitation: a sibling subset misnames
the slash as /onequarter too, so an occasional '/' renders as '=' —
still strictly better than the previous mojibake.

Affects 4 bench PDFs (028/031 +0.001-0.004 NID) and zero pdf-evals
snapshots.

Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
2026-07-15 13:19:34 -07:00
Abimael MartellandClaude Fable 5 4aa2c0c208 fix(headings): rescue wrapped bold headings on interleaved column pages (#164)
* fix(headings): rescue wrapped bold headings on interleaved column pages

Report pages whose columns can't be detected (6pt gutters) interleave
both columns' lines, which breaks every whitespace signal the bold
heading heuristic relies on: para_threshold inflates to ~3x line
height and a wrapped heading's own internal line gap defeats isolation.
'9.5. Adapting to the New Normal: Changing / Business Models' merged
into the following paragraph.

Four changes:
- merge_wrapped_bold_heading_groups: 2-3 consecutive all-bold
  body-size lines merge into one line when the group is isolated
  (column-locally, judged by x-overlapping lines only) or starts with
  a section number.
- Section-numbered all-bold lines ('9.5. ...') classify as headings
  without the standalone/isolation score gate.
- Line unfusing extends to uppercase-start continuations, gated on a
  bold-style mismatch between the runs (a bold heading beside regular
  body text) — same-style label rows stay joined.
- The unfuse line-side wordiness requirement drops to 2 words so a
  wrapped heading's short last line ('Business Models') still splits
  from the neighboring column.

opendataloader-bench: overall 0.8554 -> 0.8576, MHS 0.769 -> 0.777;
docs 037 +0.161, 111 +0.157, 039 +0.091, 198 +0.028, none down.
pdf-evals: 63 snapshots, composite 0.5952 -> 0.5964, sole >0.02 mover
positive. thermo-freon12 snapshot regenerated (cosmetic churn on an
already-scrambled 3-column legend).

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

* fix(headings): review follow-ups — multi-component section numbers, wholly-bold line gate

Single '1. ' prefixes are ordered list items and no longer bypass
isolation; the uppercase unfuse requires the whole line bold (a
heading), not merely its last run, so mixed bold-label/value rows
stay joined.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

---------

Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
2026-07-15 13:00:54 -07:00
Abimael MartellandClaude Fable 5 31918ff62f fix(layout): unfuse independent column runs sharing a baseline (#163)
* fix(layout): unfuse independent column runs sharing a baseline

Two-column report pages with charts fused headings into the adjacent
column's body text: the columns' ~6pt gutter is below what histogram
valley detection can safely use, so the page grouped single-column and
same-baseline items from both columns joined into one line ('6.2.
Expectations for Re-Hiring Employees' + mid-sentence text, killing
MHS and NID on the whole survey-report doc family).

Three changes:
- Line grouping splits same-baseline runs separated by a wide void
  (>3x font size, >=30pt) when the incoming run starts lowercase
  (mid-sentence continuation from another column) and both sides are
  multi-word prose. TOC page numbers, dot leaders, and table cells
  (numbered/capitalized) stay joined.
- Column detection is blind to chart-region text (tight 2pt bounds —
  wider padding ate rows adjacent to charts), via a chart-aware line
  grouping variant wired from the markdown pipeline.
- validate_and_build_columns computes its vertical span from
  histogram-eligible items only, so full-width captions no longer sink
  the overlap ratio for partial-page column regions.

opendataloader-bench: overall 0.8532 -> 0.8554, MHS 0.761 -> 0.769;
doc 038 +0.434, no regressions. pdf-evals: 34 snapshots change,
semantic composite wash (0.5749 -> 0.5748), no per-doc mover >0.015.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

* fix(layout): review follow-ups — chart-aware band-split grouping, single chart scan per page

Band-split pages now route through the chart-aware grouping too, and
the band loop reuses the precomputed page_chart_map instead of
re-scanning the rect list per page.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

---------

Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
2026-07-15 11:58:14 -07:00
Abimael MartellandClaude Fable 5 4c3330f93a fix(headings): bold-size fallback tiers when nothing clears the ratio gate (#162)
* fix(headings): bold-size fallback tiers when nothing clears the ratio gate

Books often set section headings barely above body size (11pt bold
over 10pt text). Nothing cleared the 1.2x heading-tier ratio gate, so
tiers stayed empty and every bold heading defaulted to H2 — H1 was
unreachable for the whole document.

When no size clears the gate, build tiers from bold line sizes >=1.05x
body, and let tier matches through detect_header_level down to that
ratio. Documents with real (>=1.2x) tiers are untouched.

Bench-neutral by construction (the MHS metric scores relative
hierarchy, not absolute levels); pdf-evals semantic composite +0.004
on the 11 affected docs with all percentiles up.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

* fix(headings): require boldness for sub-gate tier matches

Review follow-up: fallback tiers come from bold lines, so honoring
them for non-bold text at the same size would promote captions.
detect_header_level now takes is_bold and only matches tiers below
the 1.2x gate for bold lines; >=1.2x matches stay bold-agnostic.
Also restores the >=1.2x tier-match loop the refactor dropped.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

* fix(headings): judge line boldness by character mass

Review follow-up: a heading with an unbold section-number prefix
('4. ' + bold title) failed the first-item boldness test. Judge the
line by bold character mass instead, at all three call sites.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

---------

Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
2026-07-15 10:14:37 -07:00
Abimael MartellandClaude Fable 5 7d108cdff1 fix(extractor): use center-y for off-box link filtering (#161)
Link items carry an annotation rect, so y is a box edge — unlike text
items, where y is a baseline. Testing rect-bottom dropped partially
visible links whose bottom edge dipped past the tolerance. Follow-up
to a #160 review comment.

Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
2026-07-15 01:14:38 -07:00
Abimael MartellandClaude Fable 5 c4cbf49f44 fix(extractor): clip page content to the visible page box (#160)
* fix(extractor): clip page content to the visible page box

Single-page extracts and imposed spreads keep neighboring pages'
content in the stream, positioned outside the CropBox. Extracting it
appends invisible sections to the page, scrambles NID, and poisons
font statistics (heading tiers built from off-page text).

Clip items (by center), and — only when off-page text was actually
found — rects and lines (by overlap) to CropBox-else-MediaBox, walking
page-tree inheritance. Rotated pages are left unclipped: their item
coordinates are already transformed out of box space. Degenerate boxes
(<1 inch) are ignored.

opendataloader-bench: overall 0.8445 -> 0.8537, NID +0.008,
MHS +0.013; six docs up (best +0.426), none down.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

* fix(extractor): guard page-box clipping with coherence and straddle checks

Two real-document counterexamples: curved display text leaves short
glyph fragments with artifact coordinates outside the box (judge by
character mass, not item count), and some PDFs compute inflated
coordinates for visible body text (an off-page item continuing an
on-page baseline means our transform model is wrong there — skip).

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

* fix(extractor): clip off-box link annotations when page text was clipped

Review follow-up: annotations from the neighboring page bypassed the
filter. Form fields are left as-is — they're document-scoped and rare
on imposed spreads.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

---------

Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
2026-07-15 01:07:52 -07:00
Abimael MartellandClaude Fable 5 2ed152e49b fix(tables): recognize chart-bar clusters and mask their text from table detection (#159)
Bar charts drawn as filled rects read as cell rects or aligned text:
the cell-rect fallback gridded their axis labels into phantom tables,
and when rect paths rejected them, hint regions and the gap-histogram
heuristic re-gridded the same text. On survey-report pages this
scrambled reading order and swallowed section headings.

Detection (is_chart_bar_cluster): the dominant equal-breadth rect
family arranged in >=2 spaced positions (bars; cell rects touch),
data-driven extent variation (>=1.3x), no same-offset/same-extent
partners across positions (grid rows pair up, chart segments don't),
and only numeric labels inside. Mirrored predicate covers horizontal
bar charts.

Chart clusters are skipped in detect_tables_from_rects (no table, no
hint), and a new detect_chart_regions pass lets the markdown pipeline
pre-claim chart items so heuristic/line/column detection and the
merged-band retry all skip them — the text flows out as plain lines.

opendataloader-bench: overall 0.8389 -> 0.8446, TEDS 0.699 -> 0.708,
MHS 0.742 -> 0.750, NID 0.889 -> 0.894; 7 docs up (best +0.459), none
down. pdf-evals changed-set composite +0.013, TEDS +0.036.

Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
2026-07-15 00:06:17 -07:00
Abimael MartellandClaude Fable 5 e48e34dfe9 docs(tables): document the stacked-box 6-rect precision gate (#158)
* docs(tables): document the stacked-box 6-rect precision gate

Review follow-up on #157: 3-5 box stacks never reach the stacked-box
fallback (the main loop needs >=6-rect clusters on a >=6-rect page).
Routing smaller clusters through the detector was implemented and
measured: zero opendataloader-bench movement and four pdf-evals
regressions (striped bullet lists, wrapped regulation text, stats-table
columns) across three guard iterations — with 3-5 boxes the anti-prose
guards have too little signal. Keep the gate, document it at the call
site, and pin the behavior with an end-to-end test.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

* test: exercise the cluster gate, not just the page gate

Review follow-up: the pinned test's 3-rect page exited at the 6-rect
page gate before reaching the cluster minimum it documents. Scattered
unrelated rects now push the page past the page gate while the 3-box
stack stays below the cluster minimum.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

---------

Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
2026-07-14 22:52:49 -07:00
Abimael MartellandClaude Fable 5 3244547b3f feat(tables): detect single-column stacked-box tables (#157)
A framework list drawn as a vertical stack of boxes (one short title
per box) scored TEDS 0 and worse, ran into the surrounding prose as a
single paragraph: the grid path rejects one-column rect structures by
design (needs >=3 x-edges).

Add a stacked-box fallback after grid and row-stripe detection: >=3
x-aligned, same-width, same-height boxes forming a contiguous vertical
stack, each holding one short text run, become a single-column table.

Guards against striped prose and grid fragments (all unit-tested):
- boxes flanked by rects or text at their y-level are one column of a
  wider structure — bail to the grid/cell-rect paths
- multiple separated text runs per box = striped multi-column content
- prose rows: function-word-dense cells averaging >60 chars
- sentence continuation across rows (trailing comma / open + lowercase)
- numbered/lettered list items stay lists

opendataloader-bench: overall 0.8362 -> 0.8389, TEDS 0.675 -> 0.699,
target doc +0.553, no other doc moved.

Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
2026-07-14 22:26:22 -07:00
Abimael MartellandClaude Fable 5 2f5a8923dd fix(layout): veto side-by-side split that cleaves a rect table (#156)
A 4-column compliance table (labels + Small/Medium/Large) was emitted
as two separate tables: split_side_by_side read the text gap between
the ruled and remaining columns as a page-layout gutter, and each band
then detected its own fragment.

Before accepting a side-by-side split, check rect clusters near the
boundary: if a table-shaped cluster spans it (or ends at it with
cell-like text row-aligned beyond), and those table rows account for
the majority of far-side text, the split runs through a table — veto
it. The majority guard keeps legitimate splits on pages where a figure
spans two prose columns.

opendataloader-bench: overall 0.8306 -> 0.8362, TEDS 0.656 -> 0.675,
target doc +0.506, no regressions.

Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
2026-07-14 21:46:38 -07:00
Abimael MartellandClaude Fable 5 20bb22aa3c fix(tables): flatten page-number tables of contents instead of gridding (#142)
* fix(tables): flatten page-number tables of contents instead of gridding

A title-based contents page ("About the Publisher  vii", "Experiment #1
… 3") with no dot leaders and no section numbers was detected as a
2-column data table and rendered as a markdown grid, scrambling the
linear reading order (a top cause of NID loss on affected docs) and
scoring 0 on table structure.

Add is_page_number_toc: a narrow (2-3 col) list whose last column is
mostly page numbers (short integers or roman numerals) that are mostly
non-decreasing, with a text-title first column and NO header row (a
TOC's first row is already an entry). Such tables now route through the
existing flat-list TOC renderer.

The no-header + narrow-width + monotonic guards keep real data tables
intact — e.g. a 4-column regional table, or a 2-column "Mineral | CEC"
table with a header row and ascending values.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

* docs: bump reading-order (NID) benchmark to 0.89

Reflects the phantom-TOC fix in this PR: NID 0.88 -> 0.89 on the
200-doc benchmark. Other cells are unchanged at 2-decimal precision.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

* review: canonical roman validation, real-first-row header check, roman page cells

- page_number_value now requires a *canonical* roman numeral (re-encode
  and compare), so words like "civil"/"mix"/"ill" are no longer parsed
  as page numbers.
- The no-header guard checks the actual first row's last cell instead of
  the first non-empty one, so a blank header cell ("Category | ") still
  rejects the TOC heuristic.
- format::is_page_number_cell recognizes canonical roman numerals, so
  roman front-matter pages (vii, ix) get proper title/page separation in
  the flat TOC list.
- Fix the non-monotonic test to use 5 rows so it exercises the
  monotonicity guard rather than the row-count early return; add
  roman-lookalike and blank-header rejection tests.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

* review: share roman helper, widen length to 8, require page-span for TOC

- Extract canonical_roman_value + to_roman_lower into tables/mod.rs and
  use them from both the TOC detector and the formatter, removing the
  duplicated mapping/loop and keeping them in sync. The shared helper
  accepts ≤8 chars, so longer front-matter numerals (xxxviii) flatten
  consistently on both sides.
- Add a page-span guard to is_page_number_toc: real page numbers skip
  through the document (range >> entry count), so a dense consecutive
  ordinal/rank/ID column (1,2,3,…) is rejected — monotonicity alone did
  not separate those data tables from contents.

Costs ~0.001 aggregate on the benchmark (NID 0.888->0.887) for the added
precision; still a clear win over baseline (NID 0.883, TEDS unchanged).

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

* review: recover consecutive-page TOCs via a title signal

The strict page-span rule rejected legitimate one-page-per-entry TOCs
(range ~= entry count). Relax it: accept any page sequence with a gap
(nearly all real contents). Only a *perfectly dense* consecutive run —
which rank/ID/ordinal columns produce, but a chapter-per-page TOC can
too — falls back to a title signal: flatten when the first-column
entries average multi-word headings, keep as a table when they are the
short single-word labels typical of leaderboards/ID lists.

Recovers the ~0.001 the range-only rule cost (NID back to 0.888) while
still rejecting dense ordinal data tables.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

---------

Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
2026-07-14 21:09:45 -07:00
Abimael MartellandClaude Fable 5 673fbe998f docs(registries): add Features and benchmark to crates.io/PyPI/npm pages (#155)
Concise Features list and the opendataloader-bench comparison table on
each registry readme, adapted per ecosystem. Bump all three versions
(crate 0.1.6, python 0.2.5, npm 1.11.1) to republish the pages.

Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
2026-07-14 20:32:29 -07:00
Abimael MartellandClaude Fable 5 c80bedf4bd feat(npm): split platform binaries into optionalDependencies (1.11.0) (#154)
* feat(npm): split platform binaries into optionalDependencies (1.11.0)

The single package bundled all three .node binaries (17.6 MB unpacked)
so every install downloaded every platform. Publish one package per
platform (@firecrawl/pdf-inspector-{linux-x64-gnu,darwin-arm64,
win32-x64-msvc}) holding just its binary; the napi-generated loader
already falls back to exactly these names. Main package drops *.node
from files (8.5 kB tarball) and pins the platform packages as
optionalDependencies, re-stamped to the exact version at publish time.

Publish workflow gains a workflow_dispatch fallback and per-package
already-published checks so partial releases can be retried.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

* docs(npm): document Windows support and platform packages; drop stale napi.package.name

Review follow-ups: the README claimed only linux-x64 and macOS ARM64
despite the win32-x64-msvc binary shipping, and napi.package.name
(@firecrawl/pdf-inspector-js) contradicts the real platform package
prefix — the loader and workflow derive it from the root package name.
Verified the generated loader is unchanged without the config.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

---------

Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
2026-07-14 20:11:19 -07:00
Abimael MartellandClaude Fable 5 cffe253d1d fix(pypi): slim sdist inherited from crate allowlist; keep type stub (0.2.4) (#153)
The 0.2.3 sdist was 10.09 MiB (packaged tests/fixtures). maturin derives
the sdist file list from Cargo's include allowlist, so it's now 1.35 MiB
— but the allowlist dropped pdf_inspector.pyi, which would strip type
hints from wheels built from the sdist. Add it back and bump to 0.2.4.

Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
2026-07-14 19:33:39 -07:00
Abimael MartellandClaude Fable 5 2cd1cf1b23 fix(crate): allowlist package contents to fit crates.io size cap (#152)
cargo publish of 0.1.5 failed with 413: the crate packaged everything
(260 files, 10.1MiB compressed) and tests/fixtures alone is 10.2MB.
Add an explicit include list (src, external/bcmaps which tounicode.rs
loads at runtime, readme, license) — 1.3MiB compressed.

Also add a workflow_dispatch fallback to publish-crate.yml so a failed
publish can be retried without a version bump (0.1.5 is already on
main, so a re-push won't register as a version change).

Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
2026-07-14 19:24:40 -07:00
Abimael MartellandClaude Fable 5 2c97f4979e docs(crate): Rust-specific readme for crates.io (0.1.5) (#151)
crates.io showed the repo README, which leads with Python/Node quick
starts and repo-relative links. Point the crate readme at
docs/rust-api.md, refreshed with an intro, crates.io install, and CLI
install instructions. Bump to 0.1.5 to republish.

Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
2026-07-14 19:15:42 -07:00
Abimael MartellandClaude Fable 5 60cb953284 docs: add PyPI version badge to README (#150)
Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
2026-07-14 19:04:00 -07:00
Abimael MartellandClaude Fable 5 0d80efa84a docs(pypi): reformat Types section as stub-style code block (0.2.3) (#149)
The bold-label + comma-list paragraphs render as cramped walls of
inline code on PyPI. A python code block mirroring pdf_inspector.pyi
renders cleanly everywhere and adds field types plus the missing
is_underline/is_strikeout TextItem fields.

Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
2026-07-14 18:54:39 -07:00
Abimael MartellandClaude Fable 5 f3e3129a9a feat(pypi): add package readme and project URLs (0.2.2) (#148)
PyPI showed an empty description because pyproject.toml declared no
readme. Point it at docs/python.md (refreshed with pip install now that
wheels exist) and add sidebar URLs. Bump to 0.2.2 to republish.

Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
2026-07-14 18:36:45 -07:00
Abimael MartellandClaude Fable 5 d7e697fc5e chore(napi): bump @firecrawl/pdf-inspector to 1.10.4 (#147)
Ships #145: exclusive item->region assignment in extract_text_in_regions
(overlapping layout regions no longer double-extract shared items —
duplicated lines on 21% of a 2,078-doc bench corpus, with occasional
content loss when downstream dedup kept the wrong variant).


Claude-Session: https://claude.ai/code/session_01L3U6BKYCS73DVA83odAfYB

Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
2026-07-14 18:26:32 -07:00
Abimael MartellandClaude Fable 5 bcaadd52fd fix(regions): exclusive item→region assignment in extract_text_in_regions (#145)
* fix(regions): exclusive item->region assignment in extract_text_in_regions

Overlapping layout regions used to extract shared items into EVERY
region they touched (the 1.5pt inclusion margin makes borders generous),
duplicating whole lines in the final markdown on 21% of a 2,078-doc
bench corpus — and downstream duplicate-handling sometimes dropped the
variant holding a sentence tail, turning duplication into content loss.

Each item is now pre-assigned to the single region with the largest
overlap area (same margin as the boolean test); the per-region filter
uses the assignment. Items are partitioned, never suppressed, so no
content can vanish that was previously extracted.

Paired with fire-pdf assembly fixes (neighbor-local sweep dedup +
remainder salvage); verified together on the repro doc: duplicate lines
6 -> 0, the audit's lost sentence recovered (fuzz 78 -> 87.5). Batch
over the worst duplication docs: 185 -> 59 total, 6 of 8 docs to zero.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01L3U6BKYCS73DVA83odAfYB

* fix(regions): review round — single-pass bucketing, no-OCR for lost-to-neighbor empties, shared margin constant

- Assignment and materialization now happen in ONE pass over items
  (clone bucketed at argmax time) instead of a second O(items x regions)
  traversal.
- A region whose only overlapping items were assigned to a
  better-overlapping neighbor no longer flags needs_ocr: the pixels it
  would re-read belong to that neighbor, and OCR would reintroduce the
  duplication exclusivity removed. Matches the pre-change OCR load
  (these regions were non-empty native before).
- REGION_MARGIN hoisted to a module const shared by the boolean
  predicates and the area score — they must stay in sync or an item
  passing the guard could score zero area.

Repro re-verified after fixes: fuzz 87.5, duplicates 0; 756 tests pass.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01L3U6BKYCS73DVA83odAfYB

* fix(regions): lost-to-neighbor requires zero items assigned to the region

had_candidates records overlap, not assignment loss: a region whose own
assigned items materialize to empty text (whitespace-only items,
collector filtering) was indistinguishable from one that lost everything
to a neighbor, and wrongly skipped its OCR fallback. The suppression now
also requires assigned_count == 0.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01L3U6BKYCS73DVA83odAfYB

---------

Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
2026-07-14 18:22:30 -07:00
Abimael MartellandClaude Fable 5 6f75873807 fix(ci): move x86_64 macOS wheel build to macos-15-intel (#146)
macos-13 runners were retired by GitHub, so the x86_64-apple-darwin
build job queued forever and the publish never ran.

Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
2026-07-14 18:22:06 -07:00
Abimael MartellandClaude Fable 5 3ed30d01e1 ci: add PyPI trusted publishing (abi3 wheels, v0.2.1) (#123)
* ci: add PyPI trusted publishing, abi3 wheels, bump to 0.2.1

Adds publish-pypi.yml mirroring the npm/crates.io pattern: triggers on
Cargo.toml version change, builds wheels for 5 platforms via maturin,
publishes with OIDC trusted publishing (no tokens). workflow_dispatch
serves as a manual fallback for the first run after the PyPI project
transfer.

Enables pyo3 abi3-py38 so one wheel per platform covers CPython >=3.8
(previous manual uploads were cp312-only). Bumps version to 0.2.1 since
PyPI already has 0.2.0.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

* ci(pypi): guard dispatch to main, support partial-release repair

Review feedback: trusted publishing doesn't match on branch, so
workflow_dispatch needed an explicit main-ref guard. Manual dispatch now
always rebuilds and publishes with skip-existing so a release that
failed after uploading only some wheels can be completed by re-running.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

* ci(pypi): version PyPI package from pyproject.toml, not Cargo.toml

Decouple the Python package version from the crate version, matching
how npm publishing keys off napi/package.json: bump [project] version
in pyproject.toml manually and CI publishes on merge. Reverts the
Cargo.toml bump so this PR no longer triggers a crates.io release.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

* chore: remove accidentally committed uv.lock

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

* fix(ci): tolerate missing version key in parent pyproject.toml

The first merge of this workflow has a parent commit where pyproject.toml
still used dynamic = ["version"], so the old-version read would KeyError
and the auto-publish would never fire. Treat a missing key as a change.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

---------

Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
2026-07-14 17:52:13 -07:00
Abimael Martell eac8af0df8 chore(napi): bump @firecrawl/pdf-inspector to 1.10.3 (#144) 2026-07-13 08:58:14 -07:00
Abimael MartellandClaude Fable 5 39c31a8404 fix(underline): rescue snug-owned underlines from the table-ruling filters (#143)
* fix(underline): rescue snug-owned underlines from the table-ruling filters

Documents that underline many full-width lines (dense CJK business docs,
legal redlines, 10-K section links) produce span-similar rules at 3+
y-levels — exactly what the repeated-ruling filter treats as table
rulings, so every semantic underline on such pages was discarded. Three
changes fix detection without re-marking real tables:

1. Snug-owner rescue: a rule survives the repeated-ruling filter when
   the union of touching text runs on its baseline row owns it (rule
   contained within the union's span +0.75em, runs cover >=60% of the
   rule, no column-sized gaps between runs). Table row separators fail
   ownership: they overshoot their cells' text or match gapped items.
   Same-row segmented rules (column-header separators) always stay
   discarded, and a rule enclosed by a drawn cell-sized box (rect-grid
   tables) is never rescued.

2. Vertical window widened 0.35em -> 0.72em below the baseline: CJK
   layouts draw underlines under the full em box, measured at ~0.67em.

3. Prose-table guard in the positions-path suppressor: a detected
   'table' whose cells hold flowing prose (>=30% of cells over 100
   chars) is a detection artifact of boxed callouts + stacked rules,
   not a real table — suppressing there erased every underline on the
   page.

Also fixes cluster_x_positions fabricating phantom table columns from
style-split continuation runs (touching items, gap <2pt, now feed one
column start) — the fix that keeps rect-grid table shapes stable while
underlined links inside cells are correctly marked.

Snapshot updates are underline gains on regulation/form fixtures and one
empty spacer-column change in a subscripted header.

Corpus (508-doc public bench sweep): text output byte-identical on all
docs; underlined items +224/-0; strikeout now fires on redline docs.
Item-level GT coverage: is_underline 86->151/405, is_strikeout 0->10/44.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01L3U6BKYCS73DVA83odAfYB

* fix(underline): fraction-bar guard + subscript merge across underline marks

Found by a 202-doc real-world corpus diff (pdf-evals) that exercises the
full markdown pipeline, which the bench-corpus item sweep does not:

1. Math fraction bars and lattice grid lines are underline geometry —
   short horizontal rules under digits. Guard: a narrow rule (<=60pt)
   with bar-sized text hanging just below it (denominator) never marks.
   The below-text width bound matters: tightly-leaded REAL underlines
   have a full-width next line below, which must not trip the guard.

2. merge_subscript_items refused to merge when the parent was underlined
   but the tiny digit was not (the drawn rule easily misses the digit's
   own overlap window) — losing the merge broke subscript tokens inside
   table cells (b+2 no longer became b₂). Strikeout boundaries still
   block the merge in both directions; only parent-underlined/digit-bare
   merges, absorbing with the parent's flags.

Corpus after refinement: underlined items +220/-2 (the 2 are fraction
bars the old code wrongly marked), GT rule-text coverage 149/405
underline + 10/44 strikeout, text output identical on all 508 bench
docs and word-count-identical on the 202 pdf-evals docs.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01L3U6BKYCS73DVA83odAfYB

* fix(underline): address review — grid-evidence veto, strikeout-safe fraction guard, bounded gaps

- Cell-box veto now requires GRID EVIDENCE (a vertically abutting
  neighbor rect with x-overlap) instead of a height window: multiline
  table cells taller than the old 90pt ceiling veto again, and isolated
  filled callout panels (which legitimately contain underlines) no
  longer veto at all.
- The fraction guard gates only UNDERLINE marking; rule_strikes_item
  still evaluates, so short strikeouts near lower text survive.
- Fraction hug distance tightened to 0.3em so a short last-line at
  normal leading is not mistaken for a denominator.
- Continuation-run suppression bounds the negative gap (-4pt): text
  overhanging from an adjacent cell keeps its own column start.

Corpus after review fixes: underlined items +222/-2, GT coverage
150/405 underline + 10/44 strikeout, bench text output identical on
all 508 docs, pdf-evals word loss bounded at equation-reflow noise.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01L3U6BKYCS73DVA83odAfYB

* chore: appease clippy (redundant closure)

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01L3U6BKYCS73DVA83odAfYB

---------

Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
2026-07-13 08:47:45 -07:00
Abimael MartellandClaude Fable 5 cb3906e7b8 chore(napi): bump @firecrawl/pdf-inspector to 1.10.2 (#141)
Releases since 1.10.1: lowercase-fragment heading gate (#140,
opendataloader MHS spurious-heading class), per-page OCR routing
reasons (#139), --password support for encrypted PDFs (#138), docs
refresh (#137).


Claude-Session: https://claude.ai/code/session_01L3U6BKYCS73DVA83odAfYB

Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
2026-07-11 13:30:49 -07:00
Abimael MartellandClaude Fable 5 ebfd096b78 fix(markdown): lowercase-initial short fragments are not headings (#140)
A lowercase-initial one-or-two-word "heading" is a mid-sentence
fragment beside display math ("or inversely", "and therefore") — real
headings that short start uppercase. Measured as spurious headings on
academic docs (opendataloader MHS via fire-pdf's coverage_fallback
path, ENG-5029).

Extends is_heading_fragment, so both bold-heading call sites get the
gate. Corpus sweep (708 opendataloader + ParseBench PDFs): 33 docs
change, all lowercase-fragment demotions from `##`/`#` to plain or
bold ("## caldera" -> "**caldera**", "## of quorum.\"" ->
"**of quorum.\"**") — no real heading is lowercase-initial and that
short in either corpus.


Claude-Session: https://claude.ai/code/session_01L3U6BKYCS73DVA83odAfYB

Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
2026-07-11 13:24:01 -07:00
Abimael MartellandClaude Fable 5 d8eb33e390 feat: per-page OCR routing reasons (#139)
* feat: per-page OCR routing reasons (scanned/no_text/vector_text/garbled)

Replaces the single suspected_garbled_text signal with a per-page
explanation for why each OCR-flagged page needs OCR. The detector
classifies each page in pages_needing_ocr from its content analysis:

- scanned            — no usable text, image-backed page
- no_text            — no text and no image (blank/unreachable)
- vector_text        — text drawn as vector outlines, not extractable
- suspected_garbled_text — undecodable Identity-H/Type3 fonts

Exposed on PdfTypeResult.ocr_reasons_by_page and surfaced through
PdfProcessResult and the detect-pdf CLI (JSON + human output). Reasons
only ever explain pages already flagged for OCR — a text page with an
embedded logo stays TextBased, so this doesn't widen the OCR net.
Markdown output is byte-identical across the regression corpus.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

* review: cache freshly-analyzed pages so OCR reasons aren't lost

Under a sampling ScanStrategy, the Mixed per-page loop (Phase 2) and the
garbled-font check (Phase 3) analyze non-sampled pages but dropped the
PageAnalysis after flagging them. The reason-classification pass then
missed the cache and defaulted those pages to "scanned", masking the
real vector_text / suspected_garbled_text cause. Insert the fresh
analyses into analysis_cache so the reason pass classifies them
correctly. No change under the default full-sampling strategy (all
pages are already cached).

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

---------

Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
2026-07-11 13:23:37 -07:00
Abimael Martell a38efcf142 feat: --password support for encrypted PDFs (#138) 2026-07-11 11:55:36 -07:00
Abimael MartellandClaude Fable 5 42f0e52987 feat(site): GitHub Pages landing page (#135)
* feat(site): add GitHub Pages landing page

Self-contained landing page (single index.html, no build step) plus a
Pages deploy workflow that publishes site/ on push to main. Covers the
pitch, install commands for all three registries, feature grid,
benchmark, and tabbed quick-start for Rust/Python/Node/CLI.

Benchmark numbers mirror the README's current published table; both
should be refreshed together in a follow-up.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

* feat(site): add Firecrawl Parse upsell to closing section

Replace the single CTA with a two-path split: run pdf-inspector locally
(OSS) vs. hand scanned/OCR/at-scale documents to Firecrawl Parse
(hosted). Links the OSS library back to the paid product for the cases
local parsing can't cover.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

* feat(site): add Firecrawl branding (flame mark + wordmark)

Firecrawl flame mark anchors the hosted-parse card; charcoal wordmark
in the footer credit. Brand SVGs referenced as-is (exact colors).

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

* feat(site): refresh benchmark with current main numbers

pdf-inspector row updated from a fresh run on latest main: overall
0.78→0.83, tables 0.59→0.66, headings 0.57→0.74. Now within 0.01 of
opendataloader overall, best tables of the group, headings on par.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

---------

Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
2026-07-11 01:03:45 -07:00
Abimael MartellandClaude Fable 5 0ee3cd7d10 docs: refresh benchmark table with current numbers (#137)
Re-ran opendataloader-bench on current main. pdf-inspector improved
across the board since the last table: overall 0.78→0.83, tables
0.59→0.66, headings 0.57→0.74 (competitor rows unchanged). Updated the
prose — heading detection no longer lags opendataloader, and overall is
now within 0.01 of it at ~2.5× the speed.

Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
2026-07-11 00:58:43 -07:00
Abimael Martell f5be40143c chore(napi): bump @firecrawl/pdf-inspector to 1.10.1 (#136) 2026-07-11 00:42:27 -07:00
Abimael MartellandClaude Fable 5 fed3b90d37 feat(extractor): run-local space floor for tracked (letter-spaced) glyph runs (#133)
* feat(extractor): run-local space floor for tracked (letter-spaced) glyph runs

Display type set with tracking renders one glyph per show op; the merge
loop's fixed space thresholds (0.08-0.13 em) then read every letter gap
as a word boundary and emit "H O W" / "F U R T H E R" instead of
"HOW" / "FURTHER". The page-level Canva fixer can't help: it requires
>=50% of the page's items to be letter-spaced, and these docs track
only their display headings.

merge_text_items now pre-scans each run of consecutive single-glyph
items (same size band, same style, mergeable gaps — the loop's own
break conditions) and, when the run is tracked, derives the space floor
from the run's own gap distribution:

- runs with >=4 gaps qualify when the median gap clears the fixed
  threshold; word gaps, if present, form a second mode — split at the
  largest relative jump (>=1.4x), else the run is a single word
  ("I T I S I M P O R T A N T" -> "IT IS IMPORTANT")
- short runs (2-3 gaps: "H O W") additionally demand uniform gaps and
  ALL-CAPS or CJK — a genuine spaced sequence of single letters
  ("x y z" variables) has the same gap count, and display tracking is
  a caps convention; CJK never wants inter-glyph spaces

Corpus sweep (708 opendataloader + ParseBench text PDFs) vs main: 9
docs change — the tracked display titles ("HOW CAN YOU HELP?",
"LUNCHTIME MENU", a tracked email address), and CJK glyph-per-item
docs whose spurious inter-glyph spaces now collapse (GT for those docs
is unspaced CJK; should_join_items already treats no-space CJK as
correct on its path). No other doc moves.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01L3U6BKYCS73DVA83odAfYB

* fix(review): convention gate on both tiers; Han/Kana floor always infinite (PR #133 review)

- Long lowercase spaced-single runs ("a b c d e") had the tracked gap
  shape in the >=4-gap tier with no convention guard — word boundaries
  lost. The caps/CJK/title-case gate now applies to BOTH tiers; a
  title-case single word ("B u f f a l o") also qualifies.
- Han/Kana runs skipped straight to the bimodal split, so a nonuniform
  gap distribution (justification, punctuation spacing) could
  manufacture a word boundary. Han/Kana now always floors at infinity;
  Hangul deliberately keeps word-boundary handling — Korean spaces
  between words (is_spaceless_cjk excludes it).

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01L3U6BKYCS73DVA83odAfYB

* fix(extractor): preserve mixed-case glyph boundaries

---------

Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
2026-07-11 00:28:22 -07:00
Abimael MartellandClaude Fable 5 dd8aba9e20 fix(markdown): keep isolated headings on sparse pages; gate tagged roles (#132)
* fix(markdown): keep isolated headings on sparse pages; gate tagged roles

The isolated-line density guard wiped every isolated line on a page
where they exceeded 25% of lines. On sparse pages (covers, ToC pages
with a lone "CONTENTS" title, section-divider pages) a single heading
is trivially >25%, so the guard erased exactly the line it exists to
find. Require the page to have >=10 lines before the guard runs — the
25% ratio only signals a multi-column misfire on a dense page.

That let more isolated lines through, exposing that the visual heading
heuristic could promote lines already tagged with a non-heading struct
role (list item, blockquote, code, caption, ToC) or set in a monospace
font. Gate the heuristic on those in both converter paths.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

* review: extend non-heading role gate; centralize on StructRole method

Move the non-heading-role check to StructRole::is_non_heading_content
and extend it to the content roles the inline allowlist missed: Quote,
Index, Note, Reference, BibEntry, Formula, Form (in addition to the
existing list/quote/caption/toc/code roles).

Figure is deliberately excluded: cover and banner pages routinely tag
the document title inside a Figure next to a seal/logo, and that title
is a real heading — including Figure demoted the LA County protocol
cover title from headings to bold. Verified against the reference.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

* review: block table roles from heading promotion too

Add Table/TR/TH/TD/THead/TBody/TFoot to is_non_heading_content. When
table reconstruction falls back and cells reach the line loop as plain
text, a short isolated cell (a TH column header in particular) could be
promoted to a heading. Defensive: no change across either regression
corpus, so pure hardening for the fallback path.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

---------

Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
2026-07-10 22:25:42 -07:00
Abimael MartellandClaude Fable 5 2dcba76d6f refactor(lib): extract text-quality detectors into a dedicated module (#121)
The garbage/encoding detectors had accreted as ~490 lines of free
functions scattered through lib.rs (flagged in the #120 review). Move the
whole cluster into src/text_quality.rs behind a module doc that maps the
surface: the two interfaces (markdown-level vs item/span-level) and the
detection classes (replacement runs, private-use/C1 runs, dollar-as-space,
non-alphanumeric dominance, substitution-cipher statistics).

Moved verbatim: detect_encoding_issues, is_garbage_text, is_cid_garbage,
analyze_text_quality, region_items_have_decoding_issue and their helpers,
CipherGarbleStats, and the TextQuality* types. The OCR-reason aggregation
plumbing (add_ocr_reason, merge_ocr_reasons, page_ocr_reason*) stays in
lib.rs since it is shared by the main extraction loops, not detection.

Pure code motion — function bodies are unchanged; only visibility keywords
were added (pub(crate) on the six items lib.rs consumes; add_ocr_reason is
now pub(crate) so the module can call it). Behavior is provably unchanged:
same test counts (565 unit + 139 integration), and release output is
byte-identical to merged main across all 185 eval PDFs. Detector unit tests
stay in lib.rs for now because they share test helpers with the table and
layout tests there.

Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
2026-07-10 22:13:08 -07:00
Abimael MartellandClaude Fable 5 3a389f079e fix(markdown): ToC-page suppression, wrapped bold headings, math fragments (#131)
* fix(markdown): ToC-page suppression, wrapped bold headings, math fragments

Three heading-classification improvements:

- After emitting a "Contents"/"Table of Contents" heading, suppress
  heading promotion for the rest of that page: ToC entries are section
  titles that look exactly like headings ("1. Overview of OCR Pack")
  and whole contents pages came out as stacks of ##.
- merge_heading_lines only merged font-size-tier and struct-tree
  headings, so bold-at-body-size headings that wrap emitted two
  separate ## lines. Merge a fully-bold line into the previous
  fully-bold line when it reads as a wrap continuation (starts
  lowercase, tiny Y gap, no terminal punctuation on the previous line).
- Reject display-math fragments from the bold/rarity heading heuristic:
  equations ending in an equation number ("S = kB ln W, (2)") and
  lead-ins referencing one ("Rearranging Equation (8) gives:"). A bare
  trailing colon is deliberately NOT a signal — real headings often end
  with colons ("Procedure:").

The p1244 snapshot change is the bold-merge working as intended:
stacked form labels "**Subtotals** **from pages**" now read
"**Subtotals from pages**".

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

* review: guard tier path, protect prev headings in merge, narrow (N) rule

All three review findings applied, calibrated against the corpora:

- is_heading_fragment now gates the font-size-tier path too, not just
  the rarity heuristic.
- The bold wrap-merge requires the previous line to be tier-less as
  suggested; corpus diff confirmed the old behavior was absorbing a
  wrapped list-item fragment into a real heading.
- The bare "(N)" suffix rule suppressed real headings ("Nicaea (325)",
  appendix numbering). It now requires math evidence: an operator
  (=, <=, <<, ...) in the line or ,/: immediately before the number.
  Page-of-total running headers ("PM 2 (10)") get an explicit rule
  since the old blanket suffix check had been catching them only by
  accident.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

---------

Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
2026-07-10 21:40:18 -07:00
Abimael MartellandClaude Fable 5 83754ddad0 fix(tables): reject row-stripe grids that swallow body text (#130)
* fix(tables): reject row-stripe grids that swallow body text

Charts (bar graphs, axis gridlines) emit fields of drawing rects that
pass the row-stripe shape test; the resulting phantom table then
captures the page's prose in scrambled reading order — losing headings
and paragraph flow with it. The existing max-cell-length gate only
fires for tables with <4 non-empty rows, which these grids exceed.

Add has_dominant_prose_cell: reject when one cell holds >=60 words AND
at least a third of the table's total words. Real tables never
concentrate that much text in a single cell, even with a description
column.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

* review: extend prose-cell guard to merged-cluster path, add boundary test

The merged-cluster fallback had the same unguarded 4+-row gap as
row-stripe; apply has_dominant_prose_cell there too. The cell-rect path
already runs its own function-word prose check and is left unchanged.

Also add the boundary test from review: a 4+-row data table with one
60-word note cell stays accepted because the 1/3-of-total-words
denominator scales with table size.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

* review: document intended small-table boundary of prose-cell guard

Investigated the suggested row-count exemption: adding a second-prose-
cell requirement (or a non_empty_rows >= 4 exemption) resurrects
verified phantom grids in 7 corpus documents — scrambled body text and
chart/figure regions, one of which is a 4-row grid. Every observed
single-dominant-cell grid in the corpora is swallowed prose, never a
real note table, and rejection degrades gracefully to prose while
acceptance scrambles reading order. Keep the guard unconditional,
document the rationale, and pin the boundary with a test.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

---------

Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
2026-07-10 20:02:23 -07:00
Abimael MartellandClaude Fable 5 f2f49bdac2 fix(markdown): one-word bold headings, block ToC entries from headings (#129)
Two heading-classification fixes:

- Accept single-word headings ("IMPLEMENTATION", "CONTENTS") when the
  line is all-bold and isolated; the word_count >= 2 gate rejected them
  unconditionally.
- Add is_toc_entry_line: a line ending in a dot-leader group plus page
  number ("Measurement Lab worksheet ... 3") is a table-of-contents
  entry, never a heading. has_dot_leaders misses single-group leaders,
  so entire ToC pages were being promoted to ## headings.

Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
2026-07-10 18:30:33 -07:00
Abimael MartellandClaude Fable 5 d28594ef94 fix(fonts): recognize URW -Medi suffix as bold (#128)
URW Type 1 fonts abbreviate the Medium weight as "Medi" in the font
name (NimbusRomNo9L-Medi is the Times-Bold substitute embedded by most
LaTeX toolchains; -MediItal is bold italic). is_bold_font only matched
the full word "medium", so bold ran undetected across LaTeX-produced
PDFs — dropping ** emphasis and starving bold-based heading detection
of its signal.

Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
2026-07-10 18:30:14 -07:00
Abimael MartellandClaude Fable 5 b4d401241e chore(napi): bump @firecrawl/pdf-inspector to 1.10.0 (#127)
New in this release (#125): isStrikeout on TextItem (geometric
detection sharing the underline rules pipeline), descriptor/embedded-
font bold+italic recall for subset fonts (FontDescriptor flags,
ttf-parser OS/2+post, bare-CFF Name INDEX), quote-operator advance
width, Ts text-rise handling, ActualText rise/position fixes, and a
document-scoped font style cache.


Claude-Session: https://claude.ai/code/session_01L3U6BKYCS73DVA83odAfYB

Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
2026-07-10 17:41:46 -07:00
Abimael MartellandClaude Fable 5 57335f8bcf feat(extractor): descriptor/embedded-font style flags + geometric strikeout detection (#125)
* feat(extractor): descriptor/embedded-font style flags + geometric strikeout detection

Two style-recall gaps, both invisible to the existing name-based
heuristics:

1. Subset fonts with opaque BaseFont names ("Tc1", "AAAAAB+Amplitude")
   defeat is_italic_font/is_bold_font. New descriptor_style_flags reads
   the FontDescriptor (ItalicAngle beyond 4 degrees, Flags bit 7 Italic,
   bit 19 ForceBold) and, when the descriptor claims upright, falls back
   to the embedded font file: ttf-parser's OS/2 fsSelection + post
   italicAngle for sfnt fonts, and the CFF Name INDEX PostScript name
   for bare-CFF FontFile3 (descriptor rewritten to ItalicAngle 0 while
   embedding "Amplitude-LightItalic" was observed in the wild).
   ORed into is_bold/is_italic at item creation (content streams and
   form XObjects).

2. No strikeout signal existed. New is_strikeout on TextItem, detected
   in the same pass as underline: same rules pipeline (stroked lines /
   thin filled rects, table-ruling suppression), different vertical
   window — a rule crossing the glyphs at 12-55% of the em above the
   baseline instead of sitting at it. Exposed through napi and python
   bindings and pdf2md --items-json.

Verified on public ParseBench corpus docs: previously-missed italic
council titles and bold CJK itinerary headings now flagged (render-
checked); 24/508 docs gain flags, none lose any; 35 strikeout items
detected corpus-wide, disjoint from underline.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01L3U6BKYCS73DVA83odAfYB

* fix(review): quote-op advance width, Ts text rise, doc-level font style cache (PR #125 review)

Address three valid findings from review:

- The ' (move-to-next-line-and-show-text) operator emitted zero-width
  items and never advanced the text matrix, so geometric underline/
  strikeout detection (which requires width > 0) could never mark its
  text, and following show ops overlapped it. Reuse Tj's advance-width
  computation and matrix advance.

- Ts (text rise) was dropped entirely: raised/lowered runs kept the
  unshifted baseline, so rules drawn at the risen glyph position missed
  the strike/underline windows. Track rise in the text state (saved and
  restored with q/Q) and shift the rendering position through the text
  matrix's y column; advances stay on the unshifted matrix per spec.

- descriptor_style_flags re-decompressed and re-parsed the same embedded
  font program on every page whenever the descriptor left a style flag
  unset (the common case). Add a document-scoped FontStyleCache keyed by
  the FontFile2/FontFile3 object id, threaded through page and form
  extraction alongside the existing CMapDecisionCache.

The fourth finding (Form XObject rules never reach geometric detection)
is real but pre-existing for underline and needs the form walker to grow
path/paint tracking plus a new return type; deferred as a follow-up.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01L3U6BKYCS73DVA83odAfYB

* fix(review): ActualText items render at their glyphs' text rise (PR #125 review)

The EMC-built ActualText item used the captured text matrix without the
rise adjustment the ordinary Tj/TJ/' emission sites apply, so a tagged
run shown with Ts landed on the unshifted baseline — off the strikeout/
underline windows and inconsistent with untagged runs. The rise is
captured together with the first-glyph matrix (and at BDC for the
entry-position fallback): the item must render at the rise of its
GLYPHS, not whatever rise is set by EMC time.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01L3U6BKYCS73DVA83odAfYB

* fix(review): capture ActualText glyph position after the quote op's line move (PR #125 review)

The `'` handler skipped the entire suppressed-extraction block, so a
tagged span whose show op is `'` never captured its glyph matrix/rise —
the EMC item fell back to the BDC-entry matrix, which sits on the
PREVIOUS line (the `'` line move happens after BDC) with no rise. The
capture now happens right after the line move, matching the Tj/TJ
paths.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01L3U6BKYCS73DVA83odAfYB

* fix(review): style-boundary gate on subscript merge + strikeout suppression coverage (PR #125 review)

merge_subscript_items absorbed a script digit into its parent
regardless of underline/strikeout flags — dropping the digit's own mark
or widening the parent's over it. The merged item carries one flag, so
differing marks now break the merge, mirroring merge_text_items'
style-boundary rule (pre-existing for underline as well).

Also extends the table-suppression test to assert is_strikeout is
cleared alongside is_underline.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01L3U6BKYCS73DVA83odAfYB

---------

Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
2026-07-10 17:30:47 -07:00
Abimael MartellandClaude Fable 5 15bc7894a4 docs: add MIT LICENSE file and license badge (#124)
Cargo.toml and pyproject.toml already declare MIT but the repo had no
LICENSE file, so GitHub and package registries couldn't display it.

Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
2026-07-10 14:25:08 -07:00
Abimael MartellandClaude Fable 5 6e5e5849c8 Detect substitution-cipher garbled text from broken ToUnicode CMaps (#120)
* fix(lib): detect substitution-cipher garbled text from broken ToUnicode CMaps

ParseBench text_simple__att10k.pdf (issue #118) ships Type0/Identity-H
fonts whose ToUnicode CMaps are authored garbled: every bfrange maps with
a wrong constant delta, so text extracts as pure-ASCII ciphertext
("Certificate" -> "8VceZWZTReV"). The embedded subset font has no cmap
table and no glyph names, so no decode source can recover the real text
(poppler and mupdf emit the same ciphertext). The only correct behavior
is to flag the page for OCR instead of serving the garbage silently --
but the text is 100% printable ASCII with word-like tokens, so it slipped
past is_garbage_text and detect_encoding_issues.

Add CipherGarbleStats, a letter-statistics discriminator that flags a
Latin-dominant sample (>=200 ASCII letters) when vowels are starved
(<=30% of letters) AND either:
- lowercase->uppercase transitions inside words exceed 10% of letter
  bigrams (a shifted lowercase alphabet straddles the ASCII uppercase
  block), or
- the letter histogram's cosine similarity against English letter
  frequencies drops below 0.60 (catches shifts that stay within case
  blocks).

Wired into analyze_text_quality (per-page, item-level) and
detect_encoding_issues (markdown-level), so extract_pages_markdown
reports needs_ocr + suspected_garbled_text and suppresses the garbage.

Thresholds validated against the 380-document pdf-evals snapshot corpus
(Swedish, Finnish, Turkish, German, romaji, schematics, all-caps and
camelCase-heavy docs): zero false positives, and byte-identical eval
output vs main. Garbled page measures vowel ratio 0.245 / case-shift
rate 0.225 / cosine 0.532; closest legitimate document on each axis is
0.264 / 0.021 / 0.801.

Fixes #118

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

* chore: bump pdf-inspector to 0.1.4, npm package to 1.9.11

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

* fix(lib): exempt uniform-case structured content from cipher detection

Address PR review (cubic P2): the frequency branch (english_cosine < 0.60)
fired on any Latin-dominant, low-vowel letter distribution unlike English,
so non-linguistic ASCII — DNA/protein sequences, ticker symbols, hex dumps —
could be suppressed and routed to OCR despite not being garbled. Measured:
DNA cosine 0.428 / vowel ratio 0.260, protein 0.738, tickers 0.747, hex
0.549 — all would have flagged.

Add a mixed-case guard to looks_garbled: garbled English is a permutation of
natural language and carries sentence capitalization (block-straddling shifts
invert the ratio — att10k is 60% uppercase; in-case Caesar shifts preserve it
at ~3%), so both keep some of each case. The exempted structured content is
uniform case (all upper or all lower). Requiring the minority case to be >=1%
of ASCII letters exempts single-case sequences while preserving both garble
signals, including the in-case-shift scenario the frequency branch exists for.

Strictly tightens the detector: it can only remove flags, so the eval corpus
stays at zero false positives (verified byte-identical to a baseline main
binary across all 185 PDFs) and att10k remains flagged. Adds regression tests
for DNA, protein, tickers, and an in-case Caesar shift.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

* fix(lib): make cipher detection case-agnostic via sorted-histogram shape

Address PR review follow-up: the mixed-case guard from the previous commit
returned before the vowel/frequency checks, creating a blind spot — a
uniform-case (all-lower or all-upper) substitution cipher is a plausible
broken-CMap output and would bypass OCR entirely.

Replace the case proxy with the actual invariant. A substitution cipher is
a bijection over a real language's alphabet, so it preserves the frequency
SHAPE (the sorted histogram) while scrambling letter POSITIONS (the unsorted
histogram). Signal 2 now flags when english_cosine < 0.60 (positions unlike
English) AND english_shape_cosine >= 0.90 (profile is still English-shaped).
This is independent of case, so it catches all-lower, all-upper, and
case-straddling shifts alike.

The exempted structured content fails one half: DNA/hex dumps have too steep
a profile (shape cosine 0.74 / 0.81 < 0.90), while protein sequences, ticker
symbols and base64 are not sufficiently unlike English in position (unsorted
cosine 0.74 / 0.75 / 0.77 >= 0.60). All stay out of OCR.

Still strictly corpus-safe: every real Latin document scores unsorted cosine
>= 0.70 (min 0.80), far above the 0.60 gate, so none can reach Signal 2.
Re-verified byte-identical to a baseline main binary across all 185 eval
PDFs; att10k remains flagged. Drops the now-unused case counters and adds
all-lowercase / all-uppercase shifted-prose regression tests.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

* chore: source Python package version from Cargo.toml via maturin

Address PR review (cubic P2): pyproject.toml pinned version = "0.1.0",
which overrides Cargo.toml, so a maturin build produced a 0.1.0 Python
artifact regardless of the crate version (it had drifted since the PyO3
bindings were added). Switch to dynamic = ["version"] so maturin sources
the version from Cargo.toml [package] version and the two can no longer
diverge. No workflow auto-publishes the Python package, so this is metadata
hygiene rather than a release-path fix.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

---------

Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
2026-07-09 12:44:32 -07:00
Abimael MartellandCursor b375d6f102 feat(markdown): underline emission, Unicode scripts, style-preserving merges (#117)
* feat(markdown): underline emission, Unicode scripts, style-preserving merges (ENG-5015 2b)

Three formatting losses in the direct-extraction markdown path:

1. text_with_formatting gains <u> run emission (detect_underline option,
   default on) using the geometric is_underline flag from 1.9.9.
   Underline runs stay free of nested bold/italic markers — consumers
   match tag content literally. Heading lines keep plain text for
   bold/italic but preserve <u>: the tag carries meaning `#` doesn't.
2. merge_subscript_items now maps absorbed digit scripts to Unicode
   sub/superscript forms with direction from the baseline offset
   ("H"+"2" -> "H₂", "word"+raised "2" -> "word²", "m"+"3" -> "m³").
   NFKC/NFKD folds these back to plain digits so text matching
   downstream is unaffected; renderers keep the script semantics.
3. merge_text_items no longer merges across bold/italic boundaries —
   absorbing a styled run into a plain neighbor erased the styling
   before markdown emission ever saw it. On eval docs this recovers
   20-82 italic runs per document that previously emitted as plain.

Snapshots regenerated (diffs are the features: CCl₂F₂, m³, underlined
legal section headings, finer bold runs). pdf-evals regression suite:
202/202 real PDFs pass. napi 1.9.9 -> 1.9.10.

Co-authored-by: Cursor <cursoragent@cursor.com>

* fix(extractor): break merges at underline boundaries too (review)

OR-merging underline stretched the eventual <u> span over neighboring
plain fragments. Merge runs now break on any style-flag change, the
redundant accumulator is gone, and format_list_item learned to move
bullet markers outside <u> wrappers so fully-underlined bullet lines
still render as markdown lists. td9264 snapshot regenerated — spans are
tighter (trailing periods correctly outside the tag).

Co-authored-by: Cursor <cursoragent@cursor.com>

* fix(markdown): strip stray spaces before sentence punctuation (review)

Style-boundary item splits can strand a trailing period in its own
fragment, and multiple assembly paths join fragments with spaces,
yielding "word ." artifacts. Rather than chasing every join site, a
postprocess pass removes a space before `.`/`,`/`;` when the mark ends
its token (whitespace, cell boundary `|`, or end of text follows).
Dot leaders/ellipses and mid-token periods are untouched.

Fixes the td9264 "companies ." artifacts and two pre-existing
"armoring ," artifacts in the 2013-app2 snapshot. pdf-evals: zero
markdown diffs across all 203 corpus PDFs vs committed baselines.

Co-authored-by: Cursor <cursoragent@cursor.com>

* fix(tables): trim spaces inside parenthetical cell fragments

* fix(tables): reject sparse prose row-stripe tables

---------

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-07-08 23:40:08 -07:00
Abimael MartellandCursor 422a2ff118 feat(extractor): geometric underline detection on TextItem (#116)
* feat(extractor): geometric underline detection on TextItem (ENG-5015)

PDFs carry no underline font flag — underlines are stroked horizontal
lines or thin filled rects drawn under the baseline. Correlate those
graphics (already parsed from the content stream) with text items in a
post-pass: a rule within ~0.35em below the baseline covering >=60% of
an item's width marks is_underline.

Exposed through the napi and python bindings. Verified on real docs:
4/4 underlined sentences flagged on a Japanese report, links/headings
flagged on 8 of 10 underline-bearing eval docs, zero flags on docs
without underlines. Known FP source (table cell borders) documented —
downstream applies inline styling only to plain-text regions.

napi 1.9.8 -> 1.9.9.

Co-authored-by: Cursor <cursoragent@cursor.com>

* fix(extractor): underline rules only from painted rects, normalized extents (review)

Two review fixes: (1) normalize rect extents before the thickness/width
checks — `re` operands pass through the CTM so width/height can be
negative, which missed negative-width rules and let negative-height
bands pass as thin; (2) only feed painted rects to underline detection —
`re` rects now wait in a pending list until a paint operator (S/s, f/F/
f*, B/B*/b/b*) confirms them, and `re W n` clip-only paths are discarded
at `n`, so invisible clip boundaries no longer underline nearby text.
Marking moved into content_stream where paint state lives (pre-rotation,
consistent device space).

Co-authored-by: Cursor <cursoragent@cursor.com>

* fix(extractor): harden underline detection

* feat(cli): export positioned text item json

---------

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-07-08 10:20:18 -07:00
Abimael Martell 30eddade77 fix(extractor): preserve tagged overlapping text order (#114) 2026-06-24 10:26:52 -07:00
Abimael Martell 1b2e2c76d6 fix(extractor): make trace previews unicode-safe (#113) 2026-06-24 01:27:27 -06:00
Abimael Martell ce49794719 fix(extractor): reduce garbled OCR false positives (#112)
* fix(extractor): reduce garbled OCR false positives

* fix(extractor): tighten garbled text OCR routing

* fix(extractor): decode UTF-16 ToUnicode destinations

* fix(extractor): narrow ToUnicode destination cleanup

* fix(extractor): decode Aptos private ff ligature
2026-06-24 01:13:16 -06:00
Abimael Martell 1a5ba6f1e9 feat(api): expose OCR reason signal (#110) 2026-06-23 15:51:55 -07:00
Abimael Martell 57b98c6a5d fix(extractor): flag garbled text spans for OCR (#108)
* fix(extractor): flag garbled text spans for OCR

* fix(extractor): apply text quality checks to regions

* chore(napi): bump npm package version
2026-06-23 13:12:10 -07:00
Abimael Martell f25808e0a7 fix(extractor): restore CID font state for Chinese text (#106)
* fix Chinese CID text decoding

* bump package versions
2026-06-20 19:43:27 -06:00
Abimael Martell 9360c8464d ci: add crates trusted publishing (#103) 2026-06-05 11:21:55 -07:00
Abimael Martell 252d87ac58 docs(readme): add package badges and install docs (#102)
* docs: add crates.io install instructions

* docs: add npm badge
2026-06-05 11:01:56 -07:00
Abimael Martell 85890648c9 chore: use crates.io lopdf (#101) 2026-06-05 10:50:05 -07:00
Abimael Martell 6e55e38b55 fix(markdown): handle wrapped bold abstracts (#100)
* fix(markdown): handle wrapped bold abstracts

* chore: bump napi package version
2026-06-01 14:59:18 -07:00
Abimael Martell 42befcea57 fix(pdf-inspector): recover wrapped key-value tables (#99)
* fix(pdf-inspector): recover wrapped key-value tables

* fix(pdf-inspector): satisfy clippy
2026-06-01 10:10:55 -07:00
Abimael Martell e547f616f9 fix(pdf-inspector): recover key-value region tables (#98) 2026-05-29 18:55:38 -07:00
Abimael Martell 455dfe5a74 fix(pdf-inspector): recover borderless region tables (#97) 2026-05-28 10:20:06 -07:00
Abimael Martell 839317525b fix(pdf-inspector): relax vector table confidence gates (#96) 2026-05-27 11:45:00 -07:00
Abimael Martell 8b63ceb084 emit ItemType::Image bboxes for Image XObjects (was: silently dropped) (#94)
* emit ItemType::Image bboxes for Image XObjects (was: silently dropped)

Background. ItemType::Image, MarkdownOptions::include_images, and the
markdown emitter's image-collection path have all been in the tree
for a while, but no producer ever populated them — content_stream.rs
explicitly `// Skip images — text extraction only` at the Do
operator, and the nested Form-XObject walker in xobjects.rs only
matched XObjectType::Form, silently dropping Image entries. The
declared types were dead code.

This PR lights them up. At every Do that resolves to an Image
XObject (both top-level and nested inside Form XObjects), we now
compute the page-space bbox from the current CTM via a new
`image_bbox_from_ctm` helper — handling both axis-aligned and
rotated/sheared placements via 4-corner AABB — and emit a TextItem
with `item_type: ItemType::Image` and the legacy `[Image: <name>]`
text payload that the markdown emitter already knows how to render.

Callers can now find raster figures via `extract_text_with_positions`
(and the `_mem` variant, newly re-exported at the crate root) without
needing to re-parse the PDF or run a vision/layout model. The intended
consumer is layout-aware text pipelines that want to crop figures and
caption them out-of-band.

Two backstops to avoid silent breakage for existing callers:

  1. `MarkdownOptions::include_images` default flipped `true → false`.
     If it stayed at `true`, every existing user of
     `extract_pages_markdown` would suddenly see `![Image: Im0](image)`
     placeholders inserted throughout their output the moment they
     upgraded. Image data is still available structurally via
     `extract_text_with_positions`; rendering it into markdown is now
     an opt-in. New regression test asserts `extract_pages_markdown`
     output is unchanged for the image-bearing fixture.

  2. Image items now also skip the layout heuristics
     (`detect_columns`, `detect_tables_from_rects`) via a new
     `is_text_layout_item` predicate. Without this filter, an image's
     left edge would land in the column-projection profile and skew
     table column detection — surfaced by
     `vector_grid_tests::upstage_key_functions_four_cols` going from 4
     detected columns to 5 in CI before the filter was added.

Re-exporting `extract_text_with_positions_mem` at the crate root —
strictly additive; mirrors how `extract_pages_markdown_mem` is already
available there.

Tests:

  - test_extract_text_with_positions_emits_image_bboxes — minimal PDF
    with one 200×100 image at (50, 600); asserts one Image item with
    correct bbox + page + text.
  - test_image_xobject_bbox_handles_rotated_ctm — 90° rotated image
    via shear-component CTM; asserts AABB is correct (handles non-
    axis-aligned placements via 4-corner clamp).
  - test_image_emission_does_not_change_default_markdown — asserts no
    `Image:` token leaks into default markdown output, regression
    guard for the include_images flip.
  - test_markdown_options_default_has_include_images_false — explicit
    sentinel so anyone flipping it back catches it in CI.

* Bump version from 1.8.15 to 1.9.0
2026-05-20 13:43:05 -07:00
Abimael MartellandClaude Opus 4.7 73cffed1da detect_tables: catch narrow-column undercount via text-cluster topology (#93)
text_cluster_column_undercount previously fired only on tables with
6+ markdown columns. That missed a common production failure shape:
4-column page geometry where the heuristic detector's x-position
clustering collapses 2 narrow numeric columns (dates, IDs, amounts)
into adjacent wider columns, producing 2-column markdown.

The original 6-column floor existed because raw x-cluster count is
noisy on small tables — wrapped continuations, bullet indents, and
within-cell text variation produce many small x-clusters that don't
correspond to real columns. Examples:

  - Pcmso-style 2-column key/value layout with multi-line values
    shows 10 raw x-clusters but only 1 has more than a single item.
  - Yale-style archival catalog with 3 columns shows 6 raw
    x-clusters but most clusters are single-item continuations.

Replace the raw cluster count with a "significant cluster" count:
clusters whose item count is at least 1/4 of the dominant cluster
(and ≥2 items). That filters the within-cell-variation noise while
preserving signal from real columns, which consistently have one
item per row.

With significant-cluster counting:
  - Narrow-undercount fires when significant_clusters >= 3 AND
    significant_clusters >= table_cols * 2 (catches 4-col-collapsed-
    to-2 cases without misfiring on pcmso 10-clusters or yale 6
    where the significant subset matches markdown).
  - Legacy wide-undercount path (table_cols >= 6) keeps the same
    +2 / 1.2x thresholds, now applied to significant clusters
    instead of raw clusters.

Verified against representative regression and must-not-regress
cases from prior PR cycles: narrow-undercount catches genuine
column-drop cases (significant=4, markdown=2 → routes to OCR);
must-not-regress fixtures (italian-gov 6520 chars, pcmso 1733
chars, yale 1754 chars, doc200/182/189 still routing to OCR via
PR #91 guards) unchanged.

Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-18 17:26:35 -07:00
Abimael MartellandClaude Opus 4.7 647ea5c7cd extract_tables: reject font-decode failures via text-density floor (#92)
Some PDFs have fonts whose ToUnicode CMap is missing or broken —
Identity-H fonts without unicode metadata, Type-3 fonts where every
glyph maps to garbage. The page extractor returns punctuation-only
fragments or single-glyph repeats; the rendered image still carries
the visible text, so the region should fall back to OCR rather than
serve a partial table.

The existing captured_only_a_fragment guard can't catch this case
because region_text_chars itself collapses under font-decode failure —
captured vs extracted is symmetrically low, and the ratio still looks
acceptable.

Add a complementary area-based density guard: when a region has lots
of pixel real estate but very few text chars, the page extractor
hit a font failure. Bbox area is independent of extraction success,
so the symmetry breaks.

Threshold 0.003 chars/sq pt sits between observed clean extractions
(≥0.005 on full-page A4 ledgers, key/value layouts, archival
catalogs) and observed font-decode failures (≤0.0014 on prod-traffic
samples). Three guards keep it from misfiring:
  - text_chars < 20 skipped: synthetic / fragmentary fixtures
  - area < 30,000 sq pt skipped: tiny stat blocks
  - area > 400,000 sq pt skipped: near-whole-A4 bboxes where
    density is unreliable (large white-space margins)

Verified against three reproducible cases from prod shadow logs
that previously served partial output:
  - Cyrillic page with punctuation-only decode (46 chars, density
    0.00045) → flagged, routes to OCR
  - Cyrillic page where every glyph collapsed to one letter (89
    chars, density 0.00025) → flagged, routes to OCR
  - Materials-test region where text extracted fine but the table
    body extends beyond the bbox (96 chars, density 0.00131)
    → flagged, routes to OCR

Existing fixtures (full-page A4 ledger, multi-row key/value with
paragraph values, archival catalog, bits_pilani whole-page tests,
synthetic line-grid test) all retain identical behavior.

Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-15 11:51:23 -04:00
Abimael Martell 36445595d0 Bump version from 1.8.12 to 1.8.13 2026-05-14 22:30:38 -04:00
Abimael Martell 0932ce331b [codex] harden native table selection against undercounts (#91)
* fix hierarchical table row merging

* fix table undercount prose fragments
2026-05-14 22:09:09 -04:00
Abimael MartellandClaude Opus 4.7 a6e59de8f0 ci: switch to Swatinem/rust-cache to fix macOS build (#90)
Caching ~/.cargo/bin/ via actions/cache@v4 was poisoning the cargo
shim on macOS runners — restored cargo resolved to rustup-init and
failed with "unexpected argument 'build' found". Swatinem/rust-cache
skips that directory and handles target/ pruning + key derivation.

Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-14 15:08:28 -04:00
Abimael MartellandClaude Opus 4.7 b22bd759ab Add SECURITY.md with private vulnerability reporting policy (#89)
Documents how to report security issues privately (help@firecrawl.dev
or GitHub's private advisory flow) and what is in/out of scope, so
researchers don't disclose publicly via GitHub issues.

Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-14 15:01:39 -04:00
Abimael MartellandClaude Opus 4.7 7539868bf8 extract_tables: reject partial extractions in needs_ocr gate (#87)
After enabling the vector-grid detectors on the extract path (#85)
and broadening detection to full-page grids (#83), long-cell tables
(#84), and segment-only layouts (#86), one residual failure shape
remained: detectors finding a valid grid but only capturing a small
fraction of the region's actual text. Two recurring sub-shapes:

  - "header-only": detector captured the column-header band (often a
    multi-line year/units block) but missed every data row below.
    Common in financial statements, securities tables, budget
    appendices.
  - "sparse": detector returned a handful of fragmentary cells from a
    content-rich region, missing the bulk of the page.

Both pass the existing needs_ocr quality gates — the captured cells
are well-formed markdown — but the customer would receive a 5-row
fragment of a 50-row table. Today these regions fell back to GLM-OCR
by default; flipping `__nativeTableExtraction=true` would start
serving the partials.

Add `captured_only_a_fragment(md, region_text_chars)`: rejects when
the captured non-delimiter character count is less than 25% of the
text the page extractor saw inside the region. The 200-char region
floor keeps short legitimate tables (units, axis labels) from being
mis-flagged. Wired into the existing `evaluate` quality gate
alongside is_garbage_text / is_cid_garbage / detect_encoding_issues
/ looks_like_partial_table_ex.

Verified against three representative residual cases from shadow
logs (financial-statement header band, securities-table fragment,
ESIA sparse region): all flip from `needs_ocr=false` with partial
output to `needs_ocr=true` so GLM takes over. Existing full-table
fixtures (governmental ledger, PPRA-style key/value, archival
catalog) still pass through unchanged.

Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-14 14:20:02 -04:00
Abimael MartellandClaude Opus 4.7 79d75dbdca detect_lines: derive column edges from horizontal-segment endpoints (#86)
Some catalog and archival-finding-aid tables draw each row's
horizontal rule as N segments (one segment per cell) with no vertical
lines at all. The previous detector rejected these outright at
`verticals.len() < 2`, even though the segment break points encoded
the column boundaries unambiguously.

When the vertical-line count is below the existing threshold, walk
the horizontal-segment x-endpoints and cluster them with the same
snap_edges path used for vertical-line columns. Accept the derived
edges only when ≥3 distinct x-positions each appear on ≥50% of the
unique horizontal-line rows — that consistency guard distinguishes
real per-cell segments from decorative rules with varying widths
(which never share endpoints across many rows).

When columns come from segment endpoints, skip the downstream
"spanning_v / partial_v" gate (there are no vertical lines to
validate against). All other gates — horizontal-span coverage,
content density, capture ratio, multi-column distribution, the
uniform-spacing chart-grid rejector — still apply.

Verified on a 7-row × 3-col archival catalog page that previously
extracted 98 chars (a 2-row fragment via the heuristic fallback); now
extracts 1754 chars with all rows + multi-line cells.

Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-14 10:21:09 -04:00
Abimael MartellandClaude Opus 4.7 b5b91470db extract_tables: try vector-grid detectors before text heuristic (#85)
* extract_tables: try vector-grid detectors before text heuristic

extract_tables_in_regions_mem previously ran only the text-only
heuristic detector (tables::detect_tables) on the items inside each
region, discarding the rects and lines that extract_page_text_items
returned. That left the rect-backed and line-backed detectors
(detect_tables_from_rects, detect_tables_from_lines) unused by the
public region-scoped extraction path — they only ran through
detect_vector_grid_in_region_mem, which most callers don't use.

Keep the rects and lines, filter them to each region, and try in
order: rect detector → line detector → heuristic. Each candidate's
markdown is quality-gated by the existing needs_ocr checks
(is_garbage_text, is_cid_garbage, detect_encoding_issues,
looks_like_partial_table_ex); only the first clean output wins.
If all three produce empty or noisy output we still return
needs_ocr=true, matching prior behavior.

Effect on real prod-shape inputs from shadow logs:

  Full-page ruled ledger, 6 cols x ~15 rows:
    before: heuristic emits a 355-char two-row fragment
    after:  line detector emits the full 6520-char table

  Multi-row key/value layout with paragraph values:
    before: heuristic emits a 188-char header-only fragment
    after:  rect detector emits the full 1733-char table including
            the multi-bullet description cell

Existing fixtures that already passed via the heuristic continue to
pass: the quality gate rejects partial vector-grid output and falls
through, so the heuristic still wins where it produced the cleaner
result.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* Bump version from 1.8.9 to 1.8.10

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

---------

Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-12 19:25:08 -04:00
Abimael Martell f26efe6673 Bump version from 1.8.8 to 1.8.9 2026-05-12 18:40:12 -04:00
Abimael MartellandClaude Opus 4.7 06ccaf5732 detect_rects: accept multi-row tables with long-content cells (#84)
Three rejection sites in detect_rects.rs killed any candidate grid
where a single cell exceeded 500 chars:

  - detect_row_stripe_table (line 1399)
  - detect_row_stripe_table_from_cell_rects (line 1729)
  - detect_merged_cluster_table (line 2154)

The intent was to skip layout-background rects — sidebars, banners,
section bands — where one big rectangle wraps a paragraph of prose.
Those almost always present as ≤3 row stripes (header / body / footer
or single big block).

Multi-row key/value tables with paragraph-length values in one column
present the same cell-length signal but are legitimate tables.
Gating the rejection on `non_empty_rows < 4` preserves the
layout-background guard for narrow stripe layouts while letting
through multi-row tables with descriptive content.

Verified against a 9-row × 2-column key/value layout where the value
column has multi-line content (~1.4KB in the longest cell). Before:
rejected with `max cell length 1384 > 500`. After: accepted with 89%
density. The existing `test_row_stripe_rejects_layout_background_long_cells`
regression test for narrow stripe layouts still passes.

Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-12 18:35:56 -04:00
Abimael MartellandClaude Opus 4.7 5a84c29ea4 detect_lines: accept full-page tables with internal grid (#83)
The page-spanning-frame guard rejected any line set whose bounding box
exceeded ~90% of a standard A4/Letter page in both axes. The intent was
to skip decorative outer borders, but it also threw away every real
full-page table — common in governmental ledgers, financial filings,
and dense report layouts.

Decorative borders have just 4 edges (top/bottom/left/right). Real
full-page tables have many internal row and column rules. Gate the
rejection on `horizontals.len() <= 4 && verticals.len() <= 4` so the
guard still catches bare frames but lets through line sets with real
internal grid structure.

Tested against a regione.lazio.it Estrazione-provvedimenti page (full
A4-width table, 14 rows × 6 cols): now ACCEPTED with 211/211 items
captured. Bare-frame regression test added.

Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-12 18:28:08 -04:00
Abimael MartellandClaude Opus 4.7 96c0f2102a tables/detect_rects: prefer rect-grid edges over text-cluster on N≥3 column tables (#82)
When a wire-bordered table has headers centered/right-aligned in their
cells but data left-aligned, cluster_x_positions can both merge adjacent
data columns (when the data-to-data gap is below the clamped threshold)
and drop the header-only x-positions in its singleton-filter pass. The
cell-rect fallback then used text-cluster column edges and lost a column
or fragmented neighbor cells.

Prefer rect-derived column edges when the rect grid has 3+ columns and
every rect column holds multiple text items. The all-cols-populated
check protects against decorative or background rects (prose laid out
in a frame, cell-fill rects with extra borders) that would otherwise
split a logical column into spurious sub-columns. The existing
prose-in-frame, well-distributed-columns, and wireless-prose guards
still fire for the cases they were built for.

Bump napi version 1.8.7 → 1.8.8.

Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-12 16:44:26 -04:00
Abimael Martell 6086577d11 tables/detect_rects: emit grid for multiline indented cells (#79) 2026-05-07 11:44:53 -07:00
Abimael MartellandCursor f2186ec1aa tables/detect_rects: don't accept relaxed grid on wireless prose (#78)
Require rect-derived column evidence before relaxing prose checks for two-column cell-rect fallbacks, so text-position alignment alone cannot synthesize a vector grid on wireless content.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-05-07 09:30:29 -07:00
Abimael MartellandClaude Opus 4.7 59b17f372a tables: tighten prose-in-frame rejection (#77)
* tables: lift detection on shaded-header + alt-row tables (#wired-grids)

Production telemetry on `wired_high_confidence`-classified table regions
showed `detect_vector_grid_in_region_mem` returning a usable grid only
~27% of the time, with the rest falling through to GLM-OCR. Three
surgical fixes target the dominant production shapes:

* Path-fill cell backgrounds: when the page has no `re` rects but draws
  cell backgrounds via `m`/`l`/`h`/`f*` sequences, prefer the fill-derived
  rects over the few section-level `W*` clip paths that previously won
  the priority gate. Activated when fill rects outnumber clip rects ≥3×.

* Dedup-induced cluster splits: page-background rects could pose as
  containers in the sub-rect dedup and evict a slightly smaller
  table-frame rect, breaking adjacency between column-cell groups so each
  column became its own cluster. Origin-anchored containers are now
  disqualified from sub-rect dedup. A separate exact-duplicate pass
  collapses the cell-padding/text-bg/cell-border triple emissions some
  PDFs produce, preserving original order to avoid reshuffling table
  output on multi-table pages.

* Prose-words rejection: the `cell-rect` fallback's whole-grid prose
  threshold also rejected real tables that include a description column.
  Now relaxed when content is well-distributed (≥75% of cols filled),
  while keeping the original strictness for prose-in-a-frame layouts.

Two regression fixtures from the opendataloader-bench corpus, covering
the dominant production failure categories:

* `greencomp_competence.pdf` — 2-col shaded-header + plain-body glossary.
  Mirrors production crops #1 (Contractions glossary) and #6 (BIO 350
  course header).
* `upstage_key_functions.pdf` — 4-col shaded-header + alt-row backgrounds
  + merged left column. Mirrors production crops #2 (Parameter/Value
  alt-row), #7 (Spanish XML schema), and #8 (Córdoba multi-row header).

Existing fixtures stay green (doc 51 wrapped-label, doc 128 forecast
six-cols, td9264 snapshot). 133 unit + integration tests pass; clippy
clean.

Bumps napi/package.json 1.8.4 → 1.8.5.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* tables: tighten prose-in-frame rejection — fixes pdf-evals #30 regression

PR #76's shaded-header detection lift surfaced a regression on
accessory_building_permit_application_1 (TEDS 0.10 → 0.05): a
paragraph of legal text laid out in a 2-column justified block was
being admitted as a 10×2 fake table where every cell holds a
sentence fragment ("I agree to comply...", "I", "It is the property
owner's responsibility..."). Per pdf-evals PR #30 review, this is
the kind of regression production users will notice — the markdown
is structurally and semantically misleading.

Root cause: PR #76's prose-rejection only fires for `num_cols >= 4`,
so the 2-col prose-in-a-frame case slipped past it entirely. The new
fill-priority + dedup changes started producing rects for this layout
that 1.8.4 correctly ignored.

Fix: tighten the prose-in-frame check.
- Lower the column-count guard from `>= 4` to `>= 2`.
- Add a content-length signal as the primary discriminator: when the
  prose-words trigger fires AND mean non-empty cell length exceeds
  65 chars, reject regardless of column distribution.

The 65-char threshold cleanly separates observed cases:
  accessory_building (prose-in-frame): mean 74 chars  → REJECT
  upstage_key_functions (real 4-col table): mean 53   → admit
  greencomp_competence (real 2-col glossary): mean 20 → admit
  accessory_building (real 5×3 form data): mean 10    → admit

The well-distributed-cols relaxation that PR #76 added stays —
"label / value / description / benefit" tables (#7, #8 from the
production crops) still pass, but only when their mean cell length
stays below the prose threshold.

New regression test `accessory_building_rejects_prose_in_frame` asserts
both that the real 5×3 form data table survives AND the 10×2 prose
block is rejected. Snapshot test `test_snapshot_td9264` updated to
match new output — old snapshot captured the same prose-in-frame bug
on regulatory text (paragraphs emitted as 3-col `||text||` fake-table
rows). New snapshot emits clean prose paragraphs, which is correct.

Verification:
- cargo test --all: 424 lib + 133 integration + 2 doc tests pass
- cargo fmt --check clean
- cargo clippy -- -D warnings clean (lib-level; pre-existing
  test-level clippy issues on the wired-grids branch unaffected)
- Existing fixtures stay green: forecast_table_chart_six_cols (PR
  #72), bits_pilani_* (PR #73), greencomp_competence_two_cols and
  upstage_key_functions_four_cols (PR #76).

This branch is based on abimaelmartell/wired-grids so it includes
PR #76's commits plus this fix on top. Suggest merging this and
closing #76, OR rebasing #76 to incorporate this fix.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* tables: drop early-dedup atom — caused broad TOC + matrix corruption

Bisected PR #76's 4 atoms against the SEC 10-K
0001104659-25-093871_183e44ac.pdf which appeared as a TEDS regression
in pdf-evals PR #30. Result:

  atom                       | TOC | perf-graph | qualifications
  ---------------------------|-----|------------|---------------
  fill-priority              |  ✓  |     ✓      |       ✓
  early-dedup                |  ✗  |     ✗      |       ✗
  page-bg disqualification   |  ✓  |     ✓      |       ✓
  prose-relaxation           |  ✓  |     ✓      |       ✓

Early-dedup was the SOLE source of all three regressions on this doc.
Tried a more conservative variant (≥3 copies only — pair-duplicates
appear in legit multi-section layouts like 10-K dividers above + below
section headers); didn't fix the regression. The triplet+ duplicates
on this doc are real, intentional rects, not the cell-border + inner-
fill + text-bg pattern PR #76 was targeting.

Drop early-dedup. Mark `greencomp_competence_two_cols` as #[ignore]
since that wired-grid lift only worked WITH early-dedup; a more
surgical lift in `try_build_grid` / `snap_edges` for the
cell-border + inner-fill + text-bg triplet pattern is the right
follow-up. The other PR #76 wins (upstage_key_functions / production
crops #2, #7, #8) still hold; greencomp / production crops #1, #6
revert to GLM until the surgical fix.

Validation on the regression doc:
  0001104659 TOC PART II markers:    4 (matches main, was 2 with PR#76)
  0001104659 perf-graph data row:    2 (matches main, was 1)
  0001104659 qualifications rows:    9 (matches main, was 6)
Validation on the prose-frame doc:
  accessory_building fake-table:     0 (matches main, was 1 with PR#76)
  accessory_building prose intact:   1 (matches main)

cargo test --all clean, cargo fmt --check clean, cargo clippy --lib
-- -D warnings clean.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

---------

Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-06 13:37:08 -07:00
Abimael Martell 88844d18be Bump version from 1.8.3 to 1.8.4 2026-05-02 21:29:51 -07:00
Abimael MartellandClaude Opus 4.7 cfc080f79a extractor: drop Latin-1 mojibake on Type0/CID fonts; tokenize wide TSR items (#75)
* extractor: drop Latin-1 mojibake on Type0/CID fonts; tokenize wide TSR items

Two text-extraction failure modes surfaced by table-candidate shadow
data; both also affect the existing TableFormer / vector-grid paths
since they share `extract_tables_with_structure_*_mem`'s downstream
cell-fill.

1. CJK / multi-byte mojibake. The bottom Latin-1 fallback in
   `extract_text_from_operand` ran unconditionally. For a Type0/CID
   (Identity-H) font whose ToUnicode CMap fails to parse, the bytes
   are CIDs (font-internal indices), not character codes — per-byte
   Latin-1 produces mojibake (e.g. 2-byte CID 0xCDD9 surfaces as "ÍÙ").
   Gate that fallback on `FontWidthInfo.is_cid` (set by
   `parse_type0_widths` for `/Subtype /Type0`). For Type0 fonts with
   any non-ASCII byte, emit one U+FFFD per CID instead so
   `detect_encoding_issues` still trips and the page is flagged for
   OCR — preserving the existing OCR-routing path that the
   high-Latin-1 garbage used to satisfy by accident. Type1 / TrueType
   simple fonts retain the per-byte Latin-1 round-trip (it IS the
   canonical interpretation for them; verified against an existing
   pdf-evals fixture where bytes like 0xB6 are legitimate Latin-1).

   Threaded `font_widths: &PageFontWidths` through
   `extract_text_from_operand` and its 5 call sites in
   `content_stream.rs` / `xobjects.rs`.

2. Dense-cell text collapse in `extract_tables_with_structure_cells_mem`.
   Stage-1 routing did per-item assignment — each TextItem went into the
   single cell whose bbox contained its center. When a row's text is
   rendered as one wide Tj (e.g. "Marshall Islands 0.9 0.9 0.9"), the
   whole row parks in one cell and the rest of the row stays empty.

   New `split_item_into_token_subitems` helper splits each item into
   per-token virtual sub-items with x positions estimated from
   `effective_width / char_count` and the token's character offset.
   Stage 1 then routes per-token. Single-token items collapse to a
   one-element vector (no behavior change). Multi-token items spanning
   multiple cells distribute correctly. Stage-2 orphan recovery now
   operates on token-grain orphans rather than re-trying whole items.

Tests:
 - `cid_font_with_unparseable_cmap_does_not_emit_latin1_mojibake` (unit)
   exercises the Type0/CID + unparseable-CMap fallback path.
 - `simple_font_latin1_fallback_passes_high_bytes_through` (unit)
   guards the false-positive case where a Type1 font's `/ToUnicode`
   reference is set but bytes are legitimate Latin-1 character codes.
 - `test_extract_tables_with_structure_distributes_wide_item_across_cells`
   (integration) builds a synthetic PDF with one wide Tj and asserts
   each token lands in its own cell.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* tests: pin CID mojibake fix mechanism with FFFD assertions

Two complementary tests for the Type0/CID Latin-1-fallback guard:

1. Tighten `test_identity_h_no_tounicode_suppresses_garbage` on the
   existing real-PDF fixture `shinagawa_identity_h.pdf` to also assert
   the pre-suppression text contains U+FFFD and contains no high-Latin-1
   chars. Pins down WHICH mechanism is suppressing the garbage so a
   future regression that re-enables Latin-1 mojibake fails loudly here
   instead of silently switching the suppression chain back to
   `is_cid_garbage` + high-Latin-1 detection.

2. Add `test_synthetic_type0_broken_tounicode_emits_fffd_not_latin1_mojibake`
   with a fully-synthetic Type0 / Identity-H PDF built in process. We
   control the malformed ToUnicode contents, the descendant CIDFontType2
   shape (just enough for `parse_type0_widths` to set `is_cid=true`,
   which is what the new guard keys off of), and the Tj byte stream.
   No fixture file or external license needed. Reproduces the exact
   "Type0 + non-ASCII bytes + unparseable ToUnicode" code path that
   produced the production mojibake samples.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

---------

Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-02 21:28:39 -07:00
Abimael Martell 1f28e523fd tables: keep wrapped labels in TSR output (#73) 2026-04-30 10:56:05 -07:00
Abimael Martell 97fc32ac70 tables: prefer rect edges for cell-grid fallback (#72)
* tables: prefer rect edges in cell-grid fallback

* Bump version from 1.8.1 to 1.8.2
2026-04-29 21:27:27 -07:00
Abimael Martell a4161c8392 Bump version from 1.8.0 to 1.8.1 2026-04-29 08:23:05 -07:00
Abimael Martell 5b1fe30c66 tables: expand multi-row cells in-place when fallback heuristic is empty (#71)
* tables: expand multi-row TSR cells in place

Recover row-under-counted TSR tables by splitting overstuffed cells with native PDF text bands before falling back to heuristic extraction.

Made-with: Cursor

* docs: note multi-row expansion scope

Clarify that the row-band cap intentionally keeps v1 focused on common small row-loss cases while larger compressions continue to use heuristic fallback.

Made-with: Cursor
2026-04-29 08:18:09 -07:00
Abimael Martell 63b5573133 Bump version from 1.7.2 to 1.8.0 2026-04-28 17:21:44 -07:00
Abimael Martell c186a036fc tables: add detectVectorGridInRegion napi export for region-scoped vector grid detection (#70)
* feat: add vector grid region detector napi export

Expose region-scoped vector PDF grid detection so TSR callers can reuse native geometry before model fallback.

Made-with: Cursor

* fix: address vector grid review feedback

Return null for rotated vector grids until the coordinate transform has coverage and reject out-of-crop cell boxes surfaced by real-PDF smoke testing.

Made-with: Cursor

* test: add crop bbox plausibility coverage

Cover in-crop, out-of-crop, slack-boundary, and non-positive DPI behavior for vector grid cell bbox validation.

Made-with: Cursor
2026-04-28 17:20:15 -07:00
Abimael MartellandClaude Opus 4.7 d196d435d1 fix: TSR auto-fallback bugs found in review, v1.7.2 (#68)
Three fixes to extract_tables_with_structure_auto_mem (added in
1.7.1) caught by external review:

1. multi_row_in_cell over-triggered on legitimate multi-line cells.
   The previous threshold (item span > 1.3× either smallest cell or
   tallest item height) fires on any cell with 2+ y-separated text
   items — including rowspan>1 cells, wrapped descriptions, and
   superscript/subscript runs. Replaced with two gates:
   - skip cells whose declared rowspan > 1 (intentional multi-line)
   - require an actual whitespace gap (>~half a line height)
     between the bottom of one item and the top of the next, in
     PDF-native y-coordinates. Same-line items with tall glyphs or
     superscripts have negative or near-zero gap; truly separate
     visual rows have gap ≈ leading − line-height.
   FNBO regression test still passes; new test covers a rowspan=2
   cell with two visible text lines and verifies no fallback fires.

2. Heuristic returning empty silently replaced TSR markdown with
   "". The auto wrapper now keeps the TSR markdown when the
   heuristic markdown is empty/whitespace and tags fallback_reason
   with `_heuristic_empty` suffix (e.g.
   `multi_row_in_cell_heuristic_empty`). Worst case we ship the
   same wrong-but-non-empty TSR output we'd have shipped before
   1.7.1; we never replace useful output with literally nothing.

3. One bad input blanked the whole batch. Errors from
   detect_tsr_quality_issue or extract_tables_in_regions_mem now
   stay scoped to the single input — that input falls through to
   raw TSR markdown with a `_error` reason label so callers can
   metric on it. Other inputs in the batch are unaffected.

3 new integration tests:
- test_auto_does_not_fire_on_legit_rowspan_cell
- test_auto_keeps_tsr_markdown_when_heuristic_returns_empty
- test_auto_isolates_per_input_failures

All 6 auto tests + full 123-test suite pass. FNBO local replay
still triggers fallback (phantom_empty_row signal in this run) and
emits correct Shawnee/BVP/Sonoma rows with correct census tracts.

Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-27 11:23:03 -07:00
Abimael MartellandClaude Opus 4.7 fbab84fc20 feat: TSR auto-fallback to heuristic on quality issues, v1.7.1 (#67)
Adds extract_tables_with_structure_auto_mem (Rust) /
extractTablesWithStructureAuto (napi). Returns
TableExtractionResult { markdown, fallback_reason } per input.

The wrapper runs the existing TSR-hybrid path then checks the
resulting cells for two known SLANet detection pathologies:

* phantom_empty_row: empty row sandwiched between non-empty rows
  (cheap, cell-metadata only).
* multi_row_in_cell: re-reads PDF text items, flags any cell whose
  contained items span >1.3× either the smallest cell height or
  the tallest contained item height. Catches the FNBO failure mode
  where a tall TSR cell absorbs two adjacent PDF rows.

When either fires, extract_tables_in_regions_mem runs over the same
crop bbox and its markdown replaces the TSR markdown.
fallback_reason carries the diagnostic label so callers can emit
metrics and watch each pathology independently.

Validated on FNBO branches PDF page 1 (Kansas region):
- TSR-only: merges Shawnee into BVP, wrong census tract on Sonoma.
- Auto fallback (phantom_empty_row): each row separate, correct tracts.

Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-27 10:13:25 -07:00
Abimael Martell bdea4f345a Bump version from 1.6.4 to 1.7.0 2026-04-27 10:01:30 -07:00
Abimael Martell 8a0f98dee7 repair malformed PDF containers (#65) 2026-04-27 09:38:25 -07:00
Abimael MartellandClaude Opus 4.7 d8894326e8 Stage 1 exclusive item-to-cell assignment, v1.6.4 (#66)
Closes the row-merge pattern observed against FNBO branch list at the
College/Fairway boundary: when SLANet emits cells whose y-extents
overlap between consecutive rows, an item whose center fell in the
overlap region got pulled into BOTH cells, producing run-on cells
(e.g. "Kansas Kansas" + concatenated addresses).

Cause: stage 1's "for each cell, gather items inside" loop allowed an
item to match multiple cells. `normalize_cell_bands` reduces overlap
but is biased when cell-mean-center is offset from actual text baseline
(SLANet bboxes are typically taller than their text content), so the
midpoint-clamp can land on the wrong side of the row boundary, and
items at the boundary still match two cells.

Fix: invert the matching. For each PDF text item, find candidate cells
(those whose bbox satisfies tsr_region_contains_item — center inside
OR >=60% overlap on both axes), and assign to the cell whose CENTER
is geometrically closest. Build per-cell text from the assigned items.
Stage 2 (orphan recovery) is unchanged.

Exclusivity prevents item duplication across cells. The closest-center
rule disambiguates the cell-overlap case naturally without aggressive
band clamping. normalize_cell_bands stays — it tightens cells before
matching (smaller overlap → fewer ambiguous candidates) but is no
longer load-bearing for correctness of the overlap case.

Local replay against FNBO via api/scripts/local-tsr-replay.ts (which
exercises the full layout-pod → table-pod → pdf-inspector chain
in-process):

  Pre-1.6.4 (deployed 1.6.3):
    |LITH West|Illinois Illinois|11700 S. IL Route 47, Huntley IL...
    |College|||0534.03|
    |Fairway|Kansas Kansas|4650 College Blvd... 2828 Shawnee Mission...

  Post-1.6.4 (this change):
    |Huntley|Illinois|11700 S. IL Route 47, Huntley IL...|8711.15|
    |LITH West|Illinois|4520 W Algonquin Rd, Lake in the Hills...
    |College|Kansas|4650 College Blvd, Overland Park KS...|0532.01|
    |Fairway|Kansas|2828 Shawnee Mission Pkwy, Fairway KS...|0500.00|

One row (Shawnee in the Kansas section) can still get dropped under
SLANet detection variance — the model occasionally under-detects rows
and emits N structure rows for N+1 PDF rows. The squeezed row's text
gets routed to the structurally-nearest existing cell. This is a
SLANet limitation, not addressable in pdf-inspector without
synthesizing rows from PDF text geometry; deferred.

Tests: 416 lib + 120 integration + 2 doctests pass. clippy + fmt clean.

Bump @firecrawl/pdf-inspector to 1.6.4 (patch — refines stage 1's
matching strategy; no API changes).

Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-27 09:22:58 -07:00
Abimael MartellandClaude Opus 4.7 9cce4dd161 TSR stage 2: reject cross-line orphan stacking, v1.6.3 (#64)
Closes the residual run-on-cell pattern observed on FNBO branch list
after 1.6.2 deployed:

  |Shawnee Blue Valley Parkway|Kansas|6301 Pflumm, ...|0523.04|
  |Sonoma Plaza|Kansas Kansas|<addr1> <addr2>|0531.05|
  |Mitchell Woonsocket|South Dakota|<addr1>|9628.01|

Cause: when col-N cells across multiple consecutive rows are y-shifted
the same way (a local SLANet drift), the stage 2 orphan pass sees
multiple orphans qualifying for the same nearest empty cell. The cell
gets all of them appended in order, producing "RowA-text RowB-text".

Fix: track the y-coordinate of the first orphan that lands in each
cell. Subsequent orphans only join that cell if their y is within
half-a-row-height of the first orphan's y (same line). Cross-line
orphans skip that cell and look for the next-nearest empty cell on
their own line.

Same-line slack preserves multi-token branch names like
"Blue Valley Parkway" (3 PDF text items at the same y) — all three
stack into the same cell. Cross-row stacking is what gets rejected.

Two new tests:

  - stage2_rejects_cross_line_stacking_into_same_cell
    Two orphans on different rows, both equidistant to the same empty
    cell. First wins; second routes to its own row's cell.

  - stage2_allows_same_line_orphans_to_stack_into_one_cell
    Three same-line orphans (multi-token branch name) all land in the
    same empty cell, joined by spaces.

The existing four stage-2 tests + the cell-bleed regression test from
PR #62 + #63 all pass: 416 lib + 115 integration + 2 doctests.
clippy + fmt clean.

Bump @firecrawl/pdf-inspector to 1.6.3 (patch — refines 1.6.2; no API
changes).

Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-27 08:11:17 -07:00
Abimael MartellandClaude Opus 4.7 f61d139710 Recover orphan text after band normalization (TSR stage 2), v1.6.2 (#63)
PR #62 (1.6.1) closed the cell-bleed regression by clamping SLANet's
loose cell bboxes into non-overlapping row/column bands and tightening
text membership to center-containment OR >=60% overlap. That worked,
but exposed the opposite failure: legitimate native PDF text whose
center fell just outside the *clamped* cell bbox now had nowhere to go.

Two distinct failure modes observed against the FNBO branch-list PDF
after 1.6.1 deployed:

  Symptom A — header text positioned at the LEFT of a column whose band
  was derived from data-cell centers farther right. Header "Address"
  PDF text at x=331..375 fell outside the clamped col band starting
  at x=410. Strict membership rejected it (0% x-overlap, center
  outside).

  Symptom B — local SLANet row drift in col 0 over a 5-row stretch.
  Cell bboxes sat just above the actual branch-name text items
  (x-overlap 100% but y-overlap ~30-43%, below the 60% threshold).

Both share one root: post-normalization bboxes are too tight, and the
strict rule has no escape valve for legitimate edge text.

Fix: add a stage-2 orphan-recovery pass after the strict fill. Items
that NO cell claimed in stage 1 get re-assigned to their nearest
*empty* cell, distance-capped by `(median_col_width, median_row_height)`
so a far-orphan figure title can't get pulled into a faraway empty
cell. Stage 2 only fills empties — never overwrites stage 1 — so the
cell-bleed case PR #62 closed cannot regress.

Three new lib tests cover the bug shapes:
  - stage2_recovers_left_aligned_header_text_outside_data_band
    (Symptom A: header text left-of-band, data cells already filled,
     stage 2 fills only the header)
  - stage2_recovers_y_shifted_col0_in_consecutive_rows
    (Symptom B: 3 col-0 cells shifted vs text, all 3 recovered)
  - stage2_does_not_overwrite_filled_cells_or_admit_far_orphans
    (cap rejects far figure titles; pre-filled cells untouched)

Plus tests for the cap-derivation helper:
  - tsr_assignment_caps_uses_median_geometry
  - tsr_assignment_caps_floor_protects_degenerate_input

The existing dense-overlapping-rows regression test (added in #62) still
passes, confirming no regression on the cell-bleed case.

Test results: 414 lib + 115 integration + 2 doctests pass. clippy + fmt
clean.

Bump @firecrawl/pdf-inspector to 1.6.2 (patch — fixes a regression
introduced by 1.6.1; no API changes).

Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-26 23:36:43 -07:00
Abimael MartellandClaude Opus 4.7 3f8fb645c9 Fix TSR cell assignment for overlapping table boxes (#62)
* feat: TSR-aware table extraction (extract_tables_with_structure_mem)

New public function that consumes raw structure-recovery output (HTML
structure tokens + per-cell bboxes from a model like SLANet) and assembles
markdown tables by pulling cell text from the native PDF — no OCR, no
geometry inference.

Why: the existing extract_tables_in_regions_mem infers grid geometry from
text positions only and can't distinguish merged cells from multiple narrow
columns. Pairing structure recovery from a layout/TSR model with native
PDF text gets perfect text quality with proper row/col/span structure.

- New module src/tables/structured.rs: token state machine, polygon→AABB,
  crop-px→page-pt, rowspan/colspan-aware cell layout, markdown emitter.
  Accepts both 4-element rects and 8-element 4-corner polygons.
- New public extract_tables_with_structure_mem in src/lib.rs that reuses
  extract_page_text_items, region_overlaps_item, and the shared region
  text-collection helper. No existing public function modified.
- napi binding extractTablesWithStructure mirroring the existing
  extractTablesInRegions shape (f64 in JS → f32 internally).
- 14 unit tests + 5 integration tests, including a real-PDF gold-standard
  match against bits_pilani_feedback.pdf.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* TSR follow-ups: header-aware separator, cells API, v1.6.0

- cells_to_markdown emits the separator after the LAST row that contains
  is_header=true cells, falling back to "after row 0" when no header is
  flagged. Multi-row theads now render correctly. Three new unit tests
  cover: multi-row header, header not on row 0, no headers (fallback).
- New public extract_tables_with_structure_cells_mem returning
  Vec<Vec<StructuredCell>> so callers can drive their own rendering or
  debug overlays without re-doing the parse + extraction. The markdown
  variant now wraps it. The previously-unused page_pt_bbox field is
  surfaced through this API.
- New napi binding extractTablesWithStructureCells + StructuredCellJs.
- Bump @firecrawl/pdf-inspector to 1.6.0.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* fix TSR cell text assignment for overlapping bboxes

Made-with: Cursor

* bump npm package version to 1.6.1

Made-with: Cursor

---------

Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-26 16:35:19 -07:00
Abimael MartellandClaude Opus 4.7 f6d5e214f1 feat: TSR-aware table extraction (extract_tables_with_structure_mem) (#61)
* feat: TSR-aware table extraction (extract_tables_with_structure_mem)

New public function that consumes raw structure-recovery output (HTML
structure tokens + per-cell bboxes from a model like SLANet) and assembles
markdown tables by pulling cell text from the native PDF — no OCR, no
geometry inference.

Why: the existing extract_tables_in_regions_mem infers grid geometry from
text positions only and can't distinguish merged cells from multiple narrow
columns. Pairing structure recovery from a layout/TSR model with native
PDF text gets perfect text quality with proper row/col/span structure.

- New module src/tables/structured.rs: token state machine, polygon→AABB,
  crop-px→page-pt, rowspan/colspan-aware cell layout, markdown emitter.
  Accepts both 4-element rects and 8-element 4-corner polygons.
- New public extract_tables_with_structure_mem in src/lib.rs that reuses
  extract_page_text_items, region_overlaps_item, and the shared region
  text-collection helper. No existing public function modified.
- napi binding extractTablesWithStructure mirroring the existing
  extractTablesInRegions shape (f64 in JS → f32 internally).
- 14 unit tests + 5 integration tests, including a real-PDF gold-standard
  match against bits_pilani_feedback.pdf.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* TSR follow-ups: header-aware separator, cells API, v1.6.0

- cells_to_markdown emits the separator after the LAST row that contains
  is_header=true cells, falling back to "after row 0" when no header is
  flagged. Multi-row theads now render correctly. Three new unit tests
  cover: multi-row header, header not on row 0, no headers (fallback).
- New public extract_tables_with_structure_cells_mem returning
  Vec<Vec<StructuredCell>> so callers can drive their own rendering or
  debug overlays without re-doing the parse + extraction. The markdown
  variant now wraps it. The previously-unused page_pt_bbox field is
  surfaced through this API.
- New napi binding extractTablesWithStructureCells + StructuredCellJs.
- Bump @firecrawl/pdf-inspector to 1.6.0.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

---------

Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-26 00:55:39 -07:00
Abimael Martell 5c4c6e8d33 Table improvements (v1.5.0) 2026-04-22 09:52:15 -07:00
Abimael Martell d7fb493a61 fix tagged table header recovery (#60) 2026-04-22 09:51:15 -07:00
Abimael MartellandClaude Opus 4.7 6819852541 fix: reject cell-rect "tables" that are actually prose in a framed box (#58)
The rect-based cell fallback in detect_row_stripe_table_from_cell_rects
derives columns purely from text X-position clustering. When prose
wraps inside a bounding-box rect (chat transcripts, stylized figures),
the word-boundary gaps cluster into many spurious columns, producing
a multi-column "table" that is just fragmented prose.

Count cells containing common English function words (articles,
prepositions, pronouns, common verbs) and reject the fallback when
20%+ of non-empty cells contain any such word. Real tabular data —
labels, units, numbers, short identifiers — rarely contains these.

Update the td9264 snapshot: the government document section that
previously rendered as a malformed table now renders as cleaner
prose + a proper CFR list.

Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-21 10:23:28 -07:00
Abimael MartellandClaude Opus 4.7 2876fa4b3e fix: tighten rect-row span check in propagate_merged_cells (#57)
* fix: don't reclassify wrapped bold list leads as headings

When a numbered/bulleted list item's bold lead phrase wraps onto a
second visual line, that line is all_bold + standalone, which scored
above the rarity heading threshold and was emitted as #### in the
middle of the item. That reset in_list, so the body continuation
below picked up a stray `- ` bullet via the struct-tree LI path,
shattering a single item into heading + stray bullets.

Guard the font heuristic: when already inside a list, skip heading
classification for lines at the list continuation indent with a Y
gap within para_threshold. Structure-tree headings still win.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* fix: tighten rect-row span check in propagate_merged_cells

propagate_merged_cells used an overlap-based predicate with ±tol
slop that returned true at shared row boundaries — a rect whose
top exactly equals row N's bottom lies entirely below the row, yet
the predicate considered it to span row N. When multiple background
rects aligned on a shared Y edge (e.g. consecutive row-stripe
shading), each adjacent rect would over-reach by one row, cascading
labels and data from unrelated rows into a single merged cell.

Replace the overlap predicate with a containment check: rect bottom
at or below row bottom, rect top at or above row top (each within
tol). Genuine merged-cell rects fully contain the rows they span;
tangent rects do not.

Update two snapshots that were encoding the old buggy output.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

---------

Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-21 09:33:43 -07:00
Abimael MartellandClaude Opus 4.7 5859ed651b fix: don't reclassify wrapped bold list leads as headings (#56)
When a numbered/bulleted list item's bold lead phrase wraps onto a
second visual line, that line is all_bold + standalone, which scored
above the rarity heading threshold and was emitted as #### in the
middle of the item. That reset in_list, so the body continuation
below picked up a stray `- ` bullet via the struct-tree LI path,
shattering a single item into heading + stray bullets.

Guard the font heuristic: when already inside a list, skip heading
classification for lines at the list continuation indent with a Y
gap within para_threshold. Structure-tree headings still win.

Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-21 08:47:47 -07:00
Abimael Martell df023474f1 update eval instructions 2026-04-20 22:50:57 -07:00
Abimael MartellandClaude Opus 4.7 f44509ac3a fix: don't treat bullet-marker columns as real text columns (#55)
On PDFs where every list item starts with ● at the left margin and content
at a fixed offset, histogram column detection sees the gap between marker
and content as a gutter and splits each line across two phantom "columns,"
scrambling the reading order (Anthropic's Mythos system card p.73–74).

- layout: reject gutter candidates where the smaller side is ≥80%
  standalone bullet-marker glyphs (•, ●, ○, ◦, ▪, ▫, ◆, ◇, ■, □)
- markdown/classify: add starts_with_bullet_marker helper (narrower than
  is_list_item — excludes numbered/lettered patterns like 1. and a) so
  numbered section headings stay as headings)
- markdown/convert: skip heuristic heading detection on lines that start
  with a bullet marker
- markdown/classify: strip a leading bullet wrapped in a bold/italic run
  (e.g. "**● Label:**" → "- **Label:**") — some PDFs put the marker inside
  the same bold run as the label

Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-20 22:47:34 -07:00
Abimael MartellandClaude Opus 4.7 2e933ba8c1 fix: don't split tagged-LI continuation lines into separate bullets (#54)
Some tagged PDFs use a flat style where each wrapped visual line of a list
item gets its own MCID tagged directly under /LI. The LI branch was
unconditionally prefixing every such line with "- ", turning continuation
lines into their own bullets. Only emit a new bullet when we're not already
inside a list; otherwise fall through to the existing continuation logic so
the text is appended to the previous item.

Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-20 21:59:53 -07:00
Abimael MartellandClaude Opus 4.7 4b5ae91f54 feat: expose per-page markdown extraction to Python and Node (#53)
* feat: expose per-page markdown extraction to Python and Node (#49)

Implements the feature requested in issue #49: a list-of-pages markdown output
from the Python API. Matching the existing project pattern, the feature lives
in the Rust core and is surfaced through every binding.

- Rust core: `extract_pages_markdown` (path) and `extract_pages_markdown_mem`
  (bytes) now take `Option<&[u32]>` — `None` returns every page in document
  order; a slice restricts and preserves caller order.
- Python: new `extract_pages_markdown(path, pages=None)` and
  `extract_pages_markdown_bytes(data, pages=None)` functions plus
  `PageMarkdown` / `PagesExtractionResult` classes; stub file updated.
- Node: `extractPagesMarkdown(buffer, pages?)` — `pages` is now optional.
- Tests: 2 new Rust integration tests, 9 new Python tests, 2 new Node
  assertions. All 372 unit + 107 integration + 53 Python tests pass.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* chore: bump version from 1.3.0 to 1.4.0

Minor bump for the new per-page markdown extraction API exposed through
the Python and Node bindings.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

---------

Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-20 17:19:03 -07:00
Abimael MartellandClaude Opus 4.7 b4c34ba4b7 refactor: classify Table as Data vs Toc once at construction (#52)
The TOC/data-table distinction was being recomputed at every consumer:
- format.rs::table_to_markdown ran is_table_of_contents to decide between
  flat-list and markdown-table rendering.
- compute_layout_complexity ran it again to filter TOCs out of
  pages_with_tables.
- detect_heuristic validations used it to decide whether to relax val 1/9.

Each caller had to remember tables can be either kind, which leaks the
TOC concept across the codebase.

Add `TableKind { Data, Toc }` and a `Table::new` constructor that classifies
once from the cells. All five detectors (heuristic, rect, line, struct,
columns) now go through `Table::new`. Consumers match on `kind` instead of
re-running classification.

Pure refactor — no behavior change. Verified: pdf-evals output is byte-for-
byte identical (0 changed snapshots).

Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-20 14:04:50 -07:00
Abimael MartellandClaude Opus 4.7 462a7fdfde fix: exclude TOC pages from pages_with_tables metadata (#51)
* fix: detect hierarchical-indent TOCs as tables

Validation 1 (≥25% of rows have first col) and validation 9 (paragraph
content) were rejecting TOC pages where top-level chapters indent at the
leftmost X but subsections cascade further right. The leftmost column ends
up sparse (only chapter rows land there) and most cells are empty, but the
structure is still an unambiguous TOC.

Skip both validations when cells form a TOC pattern AND the table is narrow
(≤5 cols). The width cap preserves existing handling of wide multi-column
TOCs (e.g. back-of-book 2-up indices) where format_toc_as_list would mash
adjacent visual entries together.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* fix: exclude TOC pages from pages_with_tables metadata

TOC detection routes through the table pipeline (detected as a table, then
formatted as a flat list with tab-aligned page numbers via
format_toc_as_list). That made TOC pages appear in LayoutComplexity's
pages_with_tables, which:

- Misleads downstream consumers that read this field as "this page has a
  data table".
- Trips the table-page guard in column detection, which switches to a
  different valley-detection threshold for table pages.

Add an is_table_of_contents check in compute_layout_complexity so TOC-shaped
detections don't count toward the table flag. The TOC still renders correctly
as a flat list — only the metadata classification changes.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

---------

Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-20 13:48:36 -07:00
Abimael MartellandClaude Opus 4.7 9abcbbb359 fix: detect hierarchical-indent TOCs as tables (#50)
Validation 1 (≥25% of rows have first col) and validation 9 (paragraph
content) were rejecting TOC pages where top-level chapters indent at the
leftmost X but subsections cascade further right. The leftmost column ends
up sparse (only chapter rows land there) and most cells are empty, but the
structure is still an unambiguous TOC.

Skip both validations when cells form a TOC pattern AND the table is narrow
(≤5 cols). The width cap preserves existing handling of wide multi-column
TOCs (e.g. back-of-book 2-up indices) where format_toc_as_list would mash
adjacent visual entries together.

Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-20 13:41:59 -07:00
Abimael Martell 0b3ba8784c Bump version from 1.2.0 to 1.3.0 2026-04-20 11:09:16 -07:00
Abimael MartellandClaude Opus 4.7 3cd9795fe1 fix: don't fire subset-GID remap when W array covers CMap CIDs (#47)
The subset-GID-mismatch heuristic tripped whenever the CIDFont's W array
started at CID 0 and the ToUnicode CMap's minimum source CID was > 2.
That's the normal sparse layout for a correctly-subsetted Identity-H
font with a .notdef at CID 0 and actual glyphs at high CIDs (Cyrillic,
Arabic, etc.). The spurious remap to sequential CIDs, combined with
score_text penalizing non-Latin letters as "other", caused the garbled
CMap to win over the correct primary — spaces turned into %, digits
shifted into punctuation, and Latin letters got rewritten to Cyrillic
codepoints.

Check whether the W array actually covers the CMap's maximum source CID.
If it does, the font and CMap agree, no renumbering happened, and the
remap stays off. True mismatches (CMap CIDs outside W coverage) still
trigger the remap.

Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-19 09:02:23 -07:00
Abimael MartellandClaude Opus 4.7 c0607ab152 feat(npm): add Windows binary to publish matrix (#46)
Adds x86_64-pc-windows-msvc target to the napi package and CI build
matrix so the published @firecrawl/pdf-inspector npm package ships
native Windows binaries alongside Linux and macOS.

Co-authored-by: Claude Opus 4.7 <noreply@anthropic.com>
2026-04-17 13:58:17 -07:00
Abimael Martell cf2faa3221 Bump version to 1.1.0 in package.json 2026-04-17 11:59:14 -07:00
Abimael MartellandClaude Opus 4.7 e043c4414d fix: reject dot-less TOC as heuristic table false-positive (#45)
* fix: reject dot-less tables of contents as heuristic table false-positive

The body-font heuristic table detector was firing on tagged PDF TOCs
whose entries are laid out as multi-column rows (section number, title,
page number) without dot leaders. Extend is_table_of_contents to flag
this pattern by requiring:
- 2+ columns and 4+ rows
- >=60% of rows start with a dotted section number (e.g. "4.3.1")
- >=70% of filled last-column cells are all-digit page numbers

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

* format TOC tables as flat per-row list instead of dropping them

Keeping the previous approach (rejecting TOCs at detection time) meant
dot-less TOCs fell back to the column-aware text reader, which stacked
every section title first and dumped all page numbers at the end of the
region — so a reader saw a wall of titles followed by a wall of numbers.

Keep the detected Table, and in the formatter interleave the cells into
one line per row with the page number appended after a tab.  The raw
(pre-clean) cells are used for the TOC check because clean_table_cells
can collapse genuine data tables into a TOC-looking shape.

Tightened is_table_of_contents to require both dot leaders AND page
numbers (previously dot-ratio alone was enough, which misfired on
register tables that use "..." as a continuation marker).

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

* split TOC detection into dot-leader and tabular patterns

Previous is_table_of_contents rejected every TOC-shaped table at detect
time, dropping dot-leader TOCs that render well as flat-list output and
misclassifying data tables with trailing "..." cells as TOCs.

Now is_dot_leader_toc (structural + inline-leader) keeps per-row flat
layouts for the formatter, while only wide inline-leader indices are
rejected at detect time.  row_cell_is_page_number accepts dashed
section-page IDs ("A-1", "5-21") and rejects decimals/thousands
separators; cell_has_trailing_leader requires alphabetic content so
numeric data-row labels ("1973 ... ") no longer qualify.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

---------

Co-authored-by: Claude Opus 4.7 <noreply@anthropic.com>
2026-04-17 11:58:41 -07:00
Abimael Martell 6466e59271 update node pacakge paths in docs (add agents file too) 2026-04-17 08:33:37 -07:00
Abimael Martell adcaaa1b3a npm package under firecrawl organization 2026-04-17 08:31:18 -07:00
Abimael MartellandClaude Opus 4.6 b17e8e3443 feat: add pdf-inspector CLI to npm package (#44)
* feat: add CLI bin to npm package

Installing `firecrawl-pdf-inspector` now provides a `pdf-inspector` CLI command.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* chore: bump npm package version to 0.8.0

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* chore: bump npm package version to 1.0.0

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

---------

Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-17 07:23:08 -07:00
Abimael Martell c409e3b8ca fix: use first-glyph position for ActualText ligature items (#43)
* fix: use first-glyph position for ActualText ligature items

The content stream parser emitted ActualText items (from BDC/Span
marked content) at the text matrix position captured at BDC entry.
When the content stream contains Td operators between BDC and the
first glyph Tj — common in PDFs generated by Google Docs, Figma,
and web-to-PDF tools — the BDC-entry position is on the previous
visual line while the actual glyph renders on the correct line.

This caused ligature glyphs (fi, fl, ff, etc.) wrapped in
ActualText spans to be positioned one text-leading offset above
their surrounding text. Downstream merge logic couldn't reconnect
them (different y-band), producing broken words like "fi" + "ndings"
instead of "findings" throughout the document.

Fix: capture the text matrix at the first Tj/TJ operation inside
the BDC block (after any Td repositioning), and use that as the
ActualText item's rendering position at EMC time. Falls back to the
BDC-entry position when no glyph ops occur inside the block.

One new variable, five insertion points, zero behavior change on
PDFs that don't use ActualText marked content.

* chore: allow clippy::collapsible_match for Rust 1.95

Rust 1.95 introduced the collapsible_match lint which flags `if`
blocks inside match arms that could be converted to match guards.
The content-stream parsers use this pattern extensively for
readability (match on PDF operator name, then check preconditions
like `in_text_block && !op.operands.is_empty()`). Allow crate-wide
rather than refactoring 21 match arms across the parser files.
2026-04-16 17:14:00 -07:00
Abimael Martell 704ca588f5 Update package name in README for pdf inspector 2026-04-15 15:43:45 -07:00
Abimael Martell 6f4a523a06 fix: correct classifier false flags for CID-encoded text and supplementary fonts (0.7.4) (#41)
* fix(detector): correct false flags for CID-encoded text and supplementary fonts (0.7.4)

The page classifier was over-aggressively flagging Mixed-PDF pages as
needing OCR in three distinct cases. Each is fixed at the root in
analyze_page_content / page_has_identity_h_no_tounicode / the
looks_like_scan check.

1. has_vector_text false positives on dense layouts
   path_ops > text_ops*200 fired on pages with decorative paths
   (column borders, dividers) alongside real selectable text. Added
   a unique_alphanum_chars < 30 guard: real outlined-text pages have
   very few unique alphanum chars (each glyph is a path), while
   pages with real text + decorations have many.

2. Identity-H without ToUnicode flagged whole pages on supplementary fonts
   page_has_identity_h_no_tounicode would flag a page if any single
   Type0 font lacked ToUnicode and had no fallback CMap, even when
   the page's actual text came from other decodable fonts (Type1
   with ToUnicode, etc.). Rewrote to track both undecodable
   Identity-H fonts AND other decodable fonts, only flagging when
   no decodable text font is present.

3. CID-encoded text with ToUnicode misclassified as scan
   looks_like_scan checked unique_alphanum_chars < 10 on raw string
   operand bytes. CID-encoded fonts (Type0 with ToUnicode) emit
   2-byte CID values that aren't ASCII alphanum, so the metric is
   blind to them even when the text is fully decodable. Added a
   has_decodable_text_fonts signal: when a page has decodable fonts
   AND >= 10 text ops, the low alphanum count is treated as a CID
   encoding artifact rather than evidence of a scan.

Validated against a broad PDF corpus:
- 6 known false-positive pages now correctly classified as text
- 22 previously-missed scan pages (cover/blank/photo) now correctly
  flagged for OCR
- 0 regressions on truly-scanned PDFs (61/61 pages stay flagged)
- All 437 existing tests pass; clippy clean

Bumps NAPI package to 0.7.4.

* test(detector): add unit tests for the three classifier fixes

Adds 10 unit tests covering the heuristic changes:

- has_vector_text alphanum guard
  - real text + decorative paths → not flagged
  - true outlined glyphs (low alphanum) → still flagged

- page_has_identity_h_no_tounicode supplementary-font handling
  - undecodable Identity-H + decodable Type1 → not flagged (new)
  - undecodable Identity-H alone → still flagged (regression)

- page_has_decodable_text_fonts (new helper)
  - Type1 → true
  - Type0 with ToUnicode → true
  - undecodable Identity-H only → false

- looks_like_scan with has_decodable_text_fonts override
  - CID-encoded decodable text → not flagged as scan
  - same metrics with no decodable fonts → still flagged
  - decodable fonts but text_ops < 10 (page-number overlay) → still flagged

* fix(detector): make decodable-font checks usage-based and XObject-aware

Addresses two reviewer concerns on the previous heuristic fix:

P1 — resource-based check could create an inverse bug
  page_has_identity_h_no_tounicode and page_has_decodable_text_fonts
  iterated all fonts in the page Resources dict, including unused fonts.
  A page whose actual text was rendered exclusively in an undecodable
  Identity-H font but whose Resources also listed an unused decodable
  Type1 would be wrongly unflagged.

  Fix: parse Tf operator operands during content stream scanning to
  collect the set of font names actually referenced. The font checks
  now filter to only USED fonts via a new used_fonts_have_*
  family of functions operating on (used_font_names, font_map).

P2 — checks didn't follow text into Form XObjects
  analyze_page_content correctly recurses through Form XObjects via
  scan_xobjects_in_resources, but the font checks only looked at the
  page's top-level Resources/Font. Pages that render text through Form
  XObjects (corporate templates, header/footer overlays) had their
  XObject font resources missed entirely.

  Fix: scan_xobjects_in_resources now propagates the used_font_names
  set AND collects fonts from each Form XObject's own Resources into
  the shared font_map. The usage-based check sees the full picture:
  page-level fonts + every nested XObject's fonts, intersected with
  fonts actually referenced by Tf operators anywhere in the content.

Implementation:
- New extract_font_name_before_tf helper (parses /Name immediately
  preceding Tf).
- New FontInfo struct caches font properties per-name.
- New collect_fonts_from_resource_dict + new used_fonts_have_*
  functions are pure filters over (used_names, font_map).
- analyze_page_content threads used_font_names + font_map through
  page content scan and XObject recursion, then runs the new checks.
- Old resource-based functions kept as #[cfg(test)] for the existing
  unit-test interface.
- Phase 3 uncached-page loop now goes through analyze_page_content
  so it also gets the usage-based + XObject-aware behavior.

Tests added (8):
  - extract_font_name_before_tf basic + long-name parsing
  - scan_content_for_text_operators collects used font names
  - P1 — unused decodable font in Resources doesn't save a page
    whose used font is undecodable
  - P1 — both fonts used → decodable font correctly prevents flag
  - P2 — decodable font inside Form XObject correctly unflags
  - P2 — undecodable font only in XObject still flags even with
    unused decodable font at page level
  - P2 — has_decodable_text_fonts populated from XObject fonts

Validation:
- 349 lib + 104 integration + 2 doc tests pass (was 341)
- cargo clippy --lib --bin detect-pdf -- -D warnings: clean
- External eval: 9/9 PDFs pass, 6/6 false positives resolved,
  0 regressions, 61/61 scanned pages still correctly flagged
- No eval delta — confirms previous fix wasn't relying on the
  resource-based bug for any of the eval PDFs

* fix(detector): scope font lookups by ObjectId + handle indirect Form Resources

Addresses two more reviewer findings on the previous decodable-font commit.

P1 — Resource-name scoping bug
  The previous fix keyed used_font_names and font_map by raw resource
  names like b"F1". PDF resource names are scoped to each resource
  dictionary: a Form XObject can legally define its own /F1 that points
  to a completely different font from the page's /F1. Because
  collect_fonts_from_resource_dict skipped duplicates with
  `if font_map.contains_key(name)`, the first definition won and later
  Tf /F1 usages in different scopes resolved against the wrong font.
  This could reintroduce both the undecodable-Identity-H false flag
  and the decodable-CID false unflag depending on which side of the
  collision happened to be inserted first.

  Fix: switch the lookup mechanism from font names to font ObjectIds.
    - font_map: HashMap<ObjectId, FontInfo>  (was Vec<u8> keys)
    - used_font_ids: HashSet<ObjectId>       (was Vec<u8> names)
    - new resolve_font_names_to_ids() runs immediately after each
      content scan, against the resource dict in scope, to translate
      the per-scope name set into ObjectIds.
  Each Form XObject's content stream now resolves /F1 against THAT
  XObject's own Resources, so name collisions are impossible by design.
  Inline (no-ID) font dicts are skipped — extremely rare in practice
  and have no stable key.

P2 — Indirect Form /Resources skipped
  scan_xobjects_in_resources used `.as_dict()` on the Form's /Resources
  entry, which returns None for indirect references. PDFs frequently
  store /Resources as `X 0 R`, in which case font collection and
  recursion were both skipped — even though the Tf usages inside the
  XObject content had already been recorded.

  Fix: handle Object::Reference(r) in addition to Object::Dictionary(d)
  by resolving via doc.get_dictionary. Audited the rest of the file —
  the other /Resources access points (analyze_page_images,
  collect_images_from_resources) already handled both cases.

Tests added (4):
  - P1 same-name-different-font (page undecodable, XObject decodable):
    must NOT flag — XObject's text is decodable in its own scope.
  - P1 inverse (page decodable, XObject undecodable, content uses
    XObject /F1): MUST flag — undecodable text exists in real scope.
  - P2 indirect Form /Resources: font discovery must still work when
    /Resources is a `X 0 R` reference rather than inline.
  - Combined regression: indirect Resources + name collision.

Validation:
  - cargo test --release: 459 tests pass (353 lib + 104 integration + 2 doc)
  - cargo clippy --lib --bin detect-pdf -- -D warnings: clean
  - external eval (9 PDFs): 9/9 pass, 6/6 false positives resolved,
    0 regressions, 61/61 truly-scanned pages still flagged

The behavior on the eval set is identical — confirms the correctness
fix isn't masking any change in classifier outcomes.

* fix(detector): respect resource shadowing when resolving page-content fonts

The previous ObjectId-based fix correctly scoped Form XObject fonts
but still violated PDF resource inheritance for page content. When a
page overrides /F1 from a parent /Pages node (different font dict for
the same name), get_page_resources returns the page's own /Resources
plus all ancestor /Resources dicts. The old code called
resolve_font_names_to_ids on each one and added every match to
used_font_ids — both font ObjectIds ended up in the used set even
though only the page's /F1 is actually visible to that page's content.

Per ISO 32000-1 §7.7.3.4, resource names are inherited with
shadowing semantics: the most-specific (deepest, closest to the page)
definition wins.

Fix:
- New lookup_font_id helper resolves a single name in a single dict.
- New resolve_with_shadowing iterates names, checking the page's own
  /Resources first, then walking ancestors in most-specific-first
  order (which is the order lopdf's get_page_resources returns).
  First hit wins via a labeled `continue 'name` — subsequent
  ancestors are skipped for that name.
- analyze_page_content's flat resolution loop replaced with one call
  to resolve_with_shadowing.

Audit:
- XObject path is correct: each Form XObject already resolves names
  against its OWN /Resources (XObjects don't inherit from page tree).
- font_map population is correct: keyed by ObjectId, so collecting
  from all dicts builds the full available-fonts catalog. The bug
  was only in the used-set resolution.
- Confirmed lopdf returns ancestors in most-specific-first order
  (page → parent → grandparent → root), matching the shadowing
  direction used here.

Tests added (3):
  - page /F1 undecodable shadows parent's decodable /F1 → MUST flag
  - page /F1 decodable shadows parent's undecodable /F1 → MUST NOT flag
  - no override: page inherits parent's decodable /F1 → MUST NOT flag

Validation:
  - cargo test --release: 462 tests pass (356 lib + 104 integration + 2 doc)
  - cargo clippy --lib --bin detect-pdf -- -D warnings: clean
  - external eval: 9/9, 0 regressions, 6/6 false positives resolved,
    61/61 scanned pages still correctly flagged
2026-04-15 13:47:06 -07:00
Abimael MartellandClaude Opus 4.6 2f23f07f6e fix: use AND logic for looks_like_scan heuristic in detector (#39)
The looks_like_scan check incorrectly used OR logic, causing any single
condition (image_count <= 1, text_ops < 50, alphanum < 10) to flag a page
as a scan. A real scan has ALL three: single full-page image AND low text
AND low alphanum. Text pages with one figure were falsely flagged for OCR.

Bump napi to 0.7.3.

Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-14 22:05:22 -07:00
Abimael MartellandClaude Opus 4.6 0a9c120a6b fix: reduce false OCR recommendations for text PDFs with figures (#38)
* fix: reduce false OCR recommendations for text PDFs with figure images

Two fixes in the detector:

1. Fix Tf operator parsing: some PDFs concatenate Tf directly with the
   next operator (e.g. "25 Tf[<01>...") without whitespace. The scanner
   now accepts [, (, <, / as valid followers, fixing font_changes being
   reported as 0.

2. Distinguish text-with-figures from scanned-with-OCR: pages with
   multiple images (image_count > 1) and strong text signals (text_ops
   >= 50, alphanum >= 10) are recognized as text pages with figures,
   not scanned templates. Scanned PDFs have exactly 1 full-page image.

This prevents academic papers, reports with charts, and similar PDFs
from being incorrectly classified as Mixed/OCR-needed when their text
is perfectly extractable.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* chore: bump napi version to 0.7.2

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* fix: remove template image influence from page classification

Template images (large background/figure images) no longer affect
pages_needing_ocr. In the region-based pipeline, text regions are
extracted independently from image regions, and per-region needs_ocr
quality checks handle scanned-with-OCR garbage text.

Also makes the invisible text retry (for OCR text layers) trigger on
text quality rather than PDF type, so it works regardless of
classification.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* Revert "fix: remove template image influence from page classification"

This reverts commit 100cbe5453.

---------

Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-14 21:42:19 -07:00
Abimael MartellandClaude Opus 4.6 7c8b09be67 fix: improve table detection for numeric columns and multi-line headers (#35)
* fix: improve heuristic table detection for numeric columns and multi-line headers

Two fixes for tables that have clean extractable text but fail heuristic
structure detection:

1. Numeric column merge pass (grid.rs): After initial X-position
   clustering, adjacent clusters are merged when one is sparse (header
   text) and the other is dense with >50% numeric items (data column).
   Multi-line wrapped headers often land slightly offset from their
   data column — the merge closes gaps within 1.5× the clustering
   threshold. New is_numeric_text() helper matches decimals, percentages,
   negative numbers, and comma-separated thousands.

2. Duplicate-header skip (detect_heuristic.rs): Spanning super-headers
   like "First Degree | First Degree | Higher Degree" contain duplicate
   cells that trigger looks_like_partial_table_ex rejection. Now skips
   rows with duplicate cells when a better header candidate exists
   within the next 3 rows (higher fill ratio or numeric cells).

Tested on BITS Pilani university report (430 pages, 314 table pages).
Page 4 (multi-line header + numeric data) previously returned
needs_ocr=true; now correctly detects the table structure.

Eval: 197 PDFs, zero regressions, all 104+ tests pass, zero clippy.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* bump version to 0.7.1

---------

Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-14 17:27:59 -07:00
Abimael MartellandClaude Opus 4.6 35445c3208 Auto-publish npm package when version changes in package.json (#33)
Replace tag-based trigger with push-to-main trigger that detects
version changes in napi/package.json, removing the need for manual
git tags to publish new npm releases.

Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-14 13:12:55 -07:00
Abimael MartellandClaude Opus 4.6 20f24d1f8d extractPagesMarkdown: return classification metadata (0.7.0) (#32)
Publish npm package / Build aarch64-apple-darwin (push) Has been cancelled
Publish npm package / Build x86_64-unknown-linux-gnu (push) Has been cancelled
Publish npm package / Publish to npm (push) Has been cancelled
Combine per-page markdown extraction with layout classification into a
single parse. extractPagesMarkdown now returns PagesExtractionResult with
pages_with_tables, pages_with_columns, pages_needing_ocr, and is_complex
alongside the per-page markdown — eliminating redundant PDF parses for
callers that need both.

Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-14 13:08:07 -07:00
Abimael MartellandClaude Opus 4.6 abb0b925fb Add extractPagesMarkdown for per-page markdown extraction (#31)
Publish npm package / Build aarch64-apple-darwin (push) Has been cancelled
Publish npm package / Build x86_64-unknown-linux-gnu (push) Has been cancelled
Publish npm package / Publish to npm (push) Has been cancelled
* add extract_pages_markdown_mem for per-page markdown extraction

Enables hybrid OCR pipelines to skip GPU render+layout for simple text
pages by providing per-page markdown with needs_ocr flags. Font stats
are computed document-wide for consistent header detection.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* bump napi package version to 0.6.0

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

---------

Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-14 12:37:32 -07:00
101 changed files with 41721 additions and 1344 deletions
+60 -39
View File
@@ -14,64 +14,56 @@ jobs:
name: Test
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
- name: Install Rust
uses: dtolnay/rust-toolchain@stable
uses: dtolnay/rust-toolchain@4cda84d5c5c54efe2404f9d843567869ab1699d4 # stable
with:
toolchain: stable
- name: Cache cargo
uses: actions/cache@v4
with:
path: |
~/.cargo/bin/
~/.cargo/registry/index/
~/.cargo/registry/cache/
~/.cargo/git/db/
target/
key: ${{ runner.os }}-cargo-${{ hashFiles('**/Cargo.lock') }}
restore-keys: |
${{ runner.os }}-cargo-
uses: Swatinem/rust-cache@c19371144df3bb44fab255c43d04cbc2ab54d1c4 # v2.9.1
- name: Run tests
run: cargo test --verbose
- name: Test developer scripts
run: python3 -m unittest discover -s scripts/tests
fmt:
name: Format
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
- name: Install Rust
uses: dtolnay/rust-toolchain@stable
uses: dtolnay/rust-toolchain@4cda84d5c5c54efe2404f9d843567869ab1699d4 # stable
with:
toolchain: stable
components: rustfmt
- name: Check formatting
run: cargo fmt --all -- --check
- name: Check WASM formatting
run: cargo fmt --manifest-path wasm/Cargo.toml -- --check
clippy:
name: Clippy
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
- name: Install Rust
uses: dtolnay/rust-toolchain@stable
uses: dtolnay/rust-toolchain@4cda84d5c5c54efe2404f9d843567869ab1699d4 # stable
with:
toolchain: stable
components: clippy
- name: Cache cargo
uses: actions/cache@v4
uses: Swatinem/rust-cache@c19371144df3bb44fab255c43d04cbc2ab54d1c4 # v2.9.1
with:
path: |
~/.cargo/bin/
~/.cargo/registry/index/
~/.cargo/registry/cache/
~/.cargo/git/db/
target/
key: ${{ runner.os }}-cargo-clippy-${{ hashFiles('**/Cargo.lock') }}
restore-keys: |
${{ runner.os }}-cargo-clippy-
key: clippy
- name: Run clippy
run: cargo clippy -- -D warnings
@@ -83,23 +75,52 @@ jobs:
matrix:
os: [ubuntu-latest, macos-latest]
steps:
- uses: actions/checkout@v4
- uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
- name: Install Rust
uses: dtolnay/rust-toolchain@stable
uses: dtolnay/rust-toolchain@4cda84d5c5c54efe2404f9d843567869ab1699d4 # stable
with:
toolchain: stable
- name: Cache cargo
uses: actions/cache@v4
uses: Swatinem/rust-cache@c19371144df3bb44fab255c43d04cbc2ab54d1c4 # v2.9.1
with:
path: |
~/.cargo/bin/
~/.cargo/registry/index/
~/.cargo/registry/cache/
~/.cargo/git/db/
target/
key: ${{ runner.os }}-cargo-build-${{ hashFiles('**/Cargo.lock') }}
restore-keys: |
${{ runner.os }}-cargo-build-
key: build
- name: Build
run: cargo build --release --verbose
wasm:
name: WebAssembly
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
- name: Install Rust
uses: dtolnay/rust-toolchain@4cda84d5c5c54efe2404f9d843567869ab1699d4 # stable
with:
toolchain: stable
targets: wasm32-unknown-unknown
components: clippy
- name: Cache cargo
uses: Swatinem/rust-cache@c19371144df3bb44fab255c43d04cbc2ab54d1c4 # v2.9.1
with:
workspaces: |
wasm -> target
key: wasm
- name: Check WebAssembly bindings
run: cargo check --manifest-path wasm/Cargo.toml --target wasm32-unknown-unknown
- name: Check root package for WebAssembly
run: cargo check --target wasm32-unknown-unknown
- name: Lint WebAssembly bindings
run: cargo clippy --manifest-path wasm/Cargo.toml --target wasm32-unknown-unknown -- -D warnings
- name: Install wasm-pack
run: cargo install wasm-pack --version 0.15.0 --locked
- name: Test WebAssembly package
run: wasm-pack test --node --release wasm
+36
View File
@@ -0,0 +1,36 @@
name: Deploy landing page
on:
push:
branches: [main]
paths: ['site/**', '.github/workflows/pages.yml']
workflow_dispatch:
permissions:
contents: read
pages: write
id-token: write
# Allow one concurrent deployment; don't cancel an in-progress production deploy.
concurrency:
group: pages
cancel-in-progress: false
jobs:
deploy:
name: Build & deploy to GitHub Pages
runs-on: ubuntu-latest
environment:
name: github-pages
url: ${{ steps.deploy.outputs.page_url }}
steps:
- uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
- name: Upload site artifact
uses: actions/upload-pages-artifact@fc324d3547104276b827a68afc52ff2a11cc49c9 # v5.0.0
with:
path: site
- name: Deploy to GitHub Pages
id: deploy
uses: actions/deploy-pages@cd2ce8fcbc39b97be8ca5fce6e763baed58fa128 # v5.0.0
+105
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@@ -0,0 +1,105 @@
name: Publish Rust crate
on:
push:
branches: [main]
paths: ['Cargo.toml']
# Manual fallback: retry a publish that failed after the version was
# already merged (a plain re-push won't register as a version change).
workflow_dispatch:
permissions:
contents: read
env:
CARGO_TERM_COLOR: always
jobs:
check-version:
name: Check version change
# Guard manual dispatches: crates.io trusted publishing matches
# repo+workflow+environment but NOT branch, so without this a
# workflow_dispatch from any branch could publish unmerged code.
if: github.ref == 'refs/heads/main'
runs-on: ubuntu-latest
outputs:
changed: ${{ steps.check.outputs.changed }}
published: ${{ steps.check.outputs.published }}
version: ${{ steps.check.outputs.version }}
steps:
- uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
with:
fetch-depth: 2
- name: Check if version changed
id: check
run: |
NEW_VERSION=$(python3 -c 'import pathlib, tomllib; print(tomllib.loads(pathlib.Path("Cargo.toml").read_text())["package"]["version"])')
echo "version=$NEW_VERSION" >> "$GITHUB_OUTPUT"
if [ "${{ github.event_name }}" = "workflow_dispatch" ]; then
# Manual dispatch publishes the current version regardless of the
# previous commit; the crates.io check below still prevents
# double-publishing an already-released version.
echo "manual dispatch: publishing v$NEW_VERSION"
echo "changed=true" >> "$GITHUB_OUTPUT"
else
OLD_VERSION=$(git show HEAD~1:Cargo.toml | python3 -c 'import sys, tomllib; print(tomllib.loads(sys.stdin.read())["package"]["version"])')
echo "old=$OLD_VERSION new=$NEW_VERSION"
if [ "$NEW_VERSION" = "$OLD_VERSION" ]; then
echo "changed=false" >> "$GITHUB_OUTPUT"
echo "published=false" >> "$GITHUB_OUTPUT"
exit 0
fi
echo "changed=true" >> "$GITHUB_OUTPUT"
fi
HTTP_STATUS=$(curl --silent --show-error --output /tmp/crate-version.json --write-out "%{http_code}" \
-H "User-Agent: firecrawl/pdf-inspector publish workflow (https://github.com/firecrawl/pdf-inspector)" \
"https://crates.io/api/v1/crates/pdf-inspector/$NEW_VERSION")
case "$HTTP_STATUS" in
200)
echo "published=true" >> "$GITHUB_OUTPUT"
echo "pdf-inspector v$NEW_VERSION is already published"
;;
404)
echo "published=false" >> "$GITHUB_OUTPUT"
;;
*)
cat /tmp/crate-version.json
echo "Unexpected crates.io response: $HTTP_STATUS" >&2
exit 1
;;
esac
publish:
name: Publish to crates.io
needs: check-version
if: needs.check-version.outputs.changed == 'true' && needs.check-version.outputs.published == 'false'
runs-on: ubuntu-latest
environment: crates-io
permissions:
contents: read
id-token: write
steps:
- uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
- name: Install Rust
uses: dtolnay/rust-toolchain@4cda84d5c5c54efe2404f9d843567869ab1699d4 # stable
with:
toolchain: stable
- name: Verify package
run: cargo publish --dry-run
- name: Authenticate with crates.io
id: auth
uses: rust-lang/crates-io-auth-action@c6f97d42243bad5fab37ca0427f495c86d5b1a18 # v1.0.5
- name: Publish crate
run: cargo publish
env:
CARGO_REGISTRY_TOKEN: ${{ steps.auth.outputs.token }}
+166
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@@ -0,0 +1,166 @@
name: Publish Python package
on:
push:
branches: [main]
paths: ['pyproject.toml']
# Manual fallback: re-publish the current version without a version bump
# (e.g. first run after PyPI trusted publishing is configured).
workflow_dispatch:
permissions:
contents: read
jobs:
check-version:
name: Check version change
# Guard manual dispatches too: PyPI trusted publishing matches
# repo+workflow+environment but NOT branch, so without this a
# workflow_dispatch from any branch could publish unmerged code.
if: github.ref == 'refs/heads/main'
runs-on: ubuntu-latest
outputs:
changed: ${{ steps.check.outputs.changed }}
published: ${{ steps.check.outputs.published }}
version: ${{ steps.check.outputs.version }}
steps:
- uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
with:
fetch-depth: 2
- name: Check if version changed
id: check
run: |
NEW_VERSION=$(python3 -c 'import pathlib, tomllib; print(tomllib.loads(pathlib.Path("pyproject.toml").read_text())["project"]["version"])')
echo "version=$NEW_VERSION" >> "$GITHUB_OUTPUT"
if [ "${{ github.event_name }}" = "workflow_dispatch" ]; then
# Manual dispatch always rebuilds and publishes. Combined with
# skip-existing on the publish step, this repairs partial releases
# (PyPI's version endpoint returns 200 even when only some of the
# expected wheels were uploaded).
echo "manual dispatch: publishing v$NEW_VERSION (skip-existing handles uploaded files)"
echo "changed=true" >> "$GITHUB_OUTPUT"
echo "published=false" >> "$GITHUB_OUTPUT"
exit 0
fi
# .get(): the parent commit may predate the static version field
# (pyproject.toml used dynamic = ["version"]) — treat that as a change
# so the very first merge of this workflow publishes.
OLD_VERSION=$(git show HEAD~1:pyproject.toml | python3 -c 'import sys, tomllib; print(tomllib.loads(sys.stdin.read())["project"].get("version", ""))')
echo "old=$OLD_VERSION new=$NEW_VERSION"
if [ "$NEW_VERSION" = "$OLD_VERSION" ]; then
echo "changed=false" >> "$GITHUB_OUTPUT"
echo "published=false" >> "$GITHUB_OUTPUT"
exit 0
fi
echo "changed=true" >> "$GITHUB_OUTPUT"
HTTP_STATUS=$(curl --silent --show-error --output /tmp/pypi-version.json --write-out "%{http_code}" \
"https://pypi.org/pypi/pdf-inspector/$NEW_VERSION/json")
case "$HTTP_STATUS" in
200)
echo "published=true" >> "$GITHUB_OUTPUT"
echo "pdf-inspector v$NEW_VERSION is already published to PyPI"
;;
404)
echo "published=false" >> "$GITHUB_OUTPUT"
;;
*)
cat /tmp/pypi-version.json
echo "Unexpected PyPI response: $HTTP_STATUS" >&2
exit 1
;;
esac
build:
needs: check-version
if: needs.check-version.outputs.changed == 'true' && needs.check-version.outputs.published == 'false'
name: Build ${{ matrix.target }}
runs-on: ${{ matrix.os }}
strategy:
matrix:
include:
- os: ubuntu-latest
target: x86_64-unknown-linux-gnu
- os: ubuntu-latest
target: aarch64-unknown-linux-gnu
# macos-13 was retired by GitHub; macos-15-intel is the remaining
# Intel runner label (available through 2027).
- os: macos-15-intel
target: x86_64-apple-darwin
- os: macos-14
target: aarch64-apple-darwin
- os: windows-latest
target: x86_64-pc-windows-msvc
steps:
- uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
- uses: actions/setup-python@5fda3b95a4ea91299a34e894583c3862153e4b97 # v7.0.0
with:
python-version: '3.12'
- name: Build wheel
uses: PyO3/maturin-action@e83996d129638aa358a18fbd1dfb82f0b0fb5d3b # v1.51.0
with:
target: ${{ matrix.target }}
args: --release --out dist
manylinux: auto
- name: Upload wheel
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7.0.1
with:
name: wheels-${{ matrix.target }}
path: dist/*.whl
if-no-files-found: error
sdist:
needs: check-version
if: needs.check-version.outputs.changed == 'true' && needs.check-version.outputs.published == 'false'
name: Build sdist
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
- name: Build sdist
uses: PyO3/maturin-action@e83996d129638aa358a18fbd1dfb82f0b0fb5d3b # v1.51.0
with:
command: sdist
args: --out dist
- name: Upload sdist
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7.0.1
with:
name: sdist
path: dist/*.tar.gz
if-no-files-found: error
publish:
name: Publish to PyPI
needs: [check-version, build, sdist]
runs-on: ubuntu-latest
environment: pypi
permissions:
contents: read
id-token: write
steps:
- name: Download all artifacts
uses: actions/download-artifact@3e5f45b2cfb9172054b4087a40e8e0b5a5461e7c # v8.0.1
with:
path: dist
merge-multiple: true
- name: List artifacts
run: ls -la dist/
- name: Publish to PyPI
uses: pypa/gh-action-pypi-publish@dc37677b2e1c63e2034f94d8a5b11f265b73ba33 # release/v1
with:
packages-dir: dist
# Tolerate already-uploaded files so a manual re-run can complete
# a release that previously failed partway through.
skip-existing: true
+112
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@@ -0,0 +1,112 @@
name: Publish WebAssembly package
on:
push:
branches: [main]
paths: ['wasm/Cargo.toml']
workflow_dispatch:
permissions:
contents: read
id-token: write
env:
CARGO_TERM_COLOR: always
jobs:
check-version:
name: Check version change
if: github.ref == 'refs/heads/main'
runs-on: ubuntu-latest
outputs:
changed: ${{ steps.check.outputs.changed }}
package_exists: ${{ steps.check.outputs.package_exists }}
published: ${{ steps.check.outputs.published }}
version: ${{ steps.check.outputs.version }}
steps:
- uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
with:
fetch-depth: 2
- name: Check package version
id: check
run: |
NEW_VERSION=$(python3 -c 'import pathlib, tomllib; print(tomllib.loads(pathlib.Path("wasm/Cargo.toml").read_text())["package"]["version"])')
echo "version=$NEW_VERSION" >> "$GITHUB_OUTPUT"
if [ "${{ github.event_name }}" = "workflow_dispatch" ]; then
echo "changed=true" >> "$GITHUB_OUTPUT"
elif git cat-file -e HEAD~1:wasm/Cargo.toml 2>/dev/null; then
OLD_VERSION=$(git show HEAD~1:wasm/Cargo.toml | python3 -c 'import sys, tomllib; print(tomllib.loads(sys.stdin.read())["package"]["version"])')
if [ "$NEW_VERSION" = "$OLD_VERSION" ]; then
echo "changed=false" >> "$GITHUB_OUTPUT"
echo "published=false" >> "$GITHUB_OUTPUT"
exit 0
fi
echo "changed=true" >> "$GITHUB_OUTPUT"
else
echo "changed=true" >> "$GITHUB_OUTPUT"
fi
if ! npm view "@firecrawl/pdf-inspector-wasm" name >/dev/null 2>&1; then
echo "package_exists=false" >> "$GITHUB_OUTPUT"
echo "published=false" >> "$GITHUB_OUTPUT"
echo "The initial package must be published once before trusted publishing can be configured."
exit 0
fi
echo "package_exists=true" >> "$GITHUB_OUTPUT"
if npm view "@firecrawl/pdf-inspector-wasm@$NEW_VERSION" version >/dev/null 2>&1; then
echo "published=true" >> "$GITHUB_OUTPUT"
else
echo "published=false" >> "$GITHUB_OUTPUT"
fi
publish:
name: Build and publish
needs: check-version
if: needs.check-version.outputs.changed == 'true' && needs.check-version.outputs.package_exists == 'true' && needs.check-version.outputs.published == 'false'
runs-on: ubuntu-latest
permissions:
contents: read
id-token: write
steps:
- uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
- name: Install Rust
uses: dtolnay/rust-toolchain@4cda84d5c5c54efe2404f9d843567869ab1699d4 # stable
with:
toolchain: stable
targets: wasm32-unknown-unknown
- uses: actions/setup-node@820762786026740c76f36085b0efc47a31fe5020 # v7.0.0
with:
node-version: '24'
registry-url: 'https://registry.npmjs.org'
- name: Install wasm-pack
run: cargo install wasm-pack --version 0.15.0 --locked
- name: Build browser package
run: wasm-pack build wasm --target web --scope firecrawl --out-dir pkg --release
- name: Prepare package metadata
run: |
node -e '
const fs = require("fs")
const path = "wasm/pkg/package.json"
const pkg = JSON.parse(fs.readFileSync(path, "utf8"))
pkg.name = "@firecrawl/pdf-inspector-wasm"
pkg.description = "Browser WebAssembly bindings for the pdf-inspector Rust PDF parser"
pkg.keywords = ["pdf", "pdf-parser", "webassembly", "wasm", "markdown", "rust", "firecrawl"]
pkg.repository = { type: "git", url: "https://github.com/firecrawl/pdf-inspector" }
pkg.homepage = "https://github.com/firecrawl/pdf-inspector/tree/main/wasm"
pkg.publishConfig = { access: "public" }
fs.writeFileSync(path, JSON.stringify(pkg, null, 2) + "\n")
'
- name: Inspect package contents
run: npm pack --dry-run ./wasm/pkg
- name: Publish package
run: npm publish ./wasm/pkg --provenance --access public
+209 -18
View File
@@ -2,14 +2,58 @@ name: Publish npm package
on:
push:
tags: ['v*']
branches: [main]
paths: ['napi/package.json']
# Manual fallback: retry a publish that failed partway (per-package
# already-published checks make re-runs idempotent).
workflow_dispatch:
permissions:
contents: read
id-token: write
jobs:
check-version:
name: Check version change
# Guard manual dispatches: npm trusted publishing matches
# repo+workflow+environment but NOT branch, so without this a
# workflow_dispatch from any branch could publish unmerged code.
if: github.ref == 'refs/heads/main'
runs-on: ubuntu-latest
outputs:
changed: ${{ steps.check.outputs.changed }}
version: ${{ steps.check.outputs.version }}
steps:
- uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
with:
fetch-depth: 2
- name: Check if version changed
id: check
run: |
NEW_VERSION=$(node -p "require('./napi/package.json').version")
echo "version=$NEW_VERSION" >> "$GITHUB_OUTPUT"
if [ "${{ github.event_name }}" = "workflow_dispatch" ]; then
# Manual dispatch rebuilds and publishes the current version; the
# per-package already-published checks in the publish job skip
# anything that made it out in a previous partial run.
echo "manual dispatch: publishing v$NEW_VERSION"
echo "changed=true" >> "$GITHUB_OUTPUT"
exit 0
fi
OLD_VERSION=$(git show HEAD~1:napi/package.json | node -p "JSON.parse(require('fs').readFileSync('/dev/stdin','utf8')).version")
echo "old=$OLD_VERSION new=$NEW_VERSION"
if [ "$NEW_VERSION" != "$OLD_VERSION" ]; then
echo "changed=true" >> "$GITHUB_OUTPUT"
else
echo "changed=false" >> "$GITHUB_OUTPUT"
fi
build:
needs: check-version
if: needs.check-version.outputs.changed == 'true'
name: Build ${{ matrix.target }}
runs-on: ${{ matrix.os }}
strategy:
@@ -17,29 +61,61 @@ jobs:
include:
- os: ubuntu-latest
target: x86_64-unknown-linux-gnu
# napi-cross builds gnu targets against an old glibc sysroot for
# broad distro compatibility; musl targets cross-compile with
# zig via cargo-zigbuild (napi's -x flag).
- os: ubuntu-latest
target: aarch64-unknown-linux-gnu
build-flags: --use-napi-cross
- os: ubuntu-latest
target: x86_64-unknown-linux-musl
build-flags: -x
- os: ubuntu-latest
target: aarch64-unknown-linux-musl
build-flags: -x
- os: macos-14
target: aarch64-apple-darwin
- os: windows-latest
target: x86_64-pc-windows-msvc
steps:
- uses: actions/checkout@v4
- uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
- name: Install Rust
uses: dtolnay/rust-toolchain@stable
uses: dtolnay/rust-toolchain@4cda84d5c5c54efe2404f9d843567869ab1699d4 # stable
with:
toolchain: stable
targets: ${{ matrix.target }}
- uses: oven-sh/setup-bun@v2
- uses: oven-sh/setup-bun@0c5077e51419868618aeaa5fe8019c62421857d6 # v2.2.0
with:
bun-version: latest
- name: Install zig
if: contains(matrix.target, 'musl')
uses: mlugg/setup-zig@d1434d08867e3ee9daa34448df10607b98908d29 # v2.2.1
with:
version: 0.14.1
- name: Install cargo-zigbuild
if: contains(matrix.target, 'musl')
uses: taiki-e/install-action@67729d5c413db75907f0ad1e39bb04b9c868ff60 # v2.85.7
env:
GITHUB_TOKEN: ${{ github.token }}
with:
tool: cargo-zigbuild
- name: Cache cargo
uses: actions/cache@v4
uses: actions/cache@55cc8345863c7cc4c66a329aec7e433d2d1c52a9 # v6.1.0
with:
path: |
~/.cargo/registry/index/
~/.cargo/registry/cache/
~/.cargo/git/db/
~/.napi-rs
napi/target/
key: ${{ runner.os }}-cargo-napi-${{ hashFiles('**/Cargo.lock') }}
key: ${{ matrix.target }}-cargo-napi-${{ hashFiles('**/Cargo.lock') }}
restore-keys: |
${{ runner.os }}-cargo-napi-
${{ matrix.target }}-cargo-napi-
- name: Install dependencies
working-directory: napi
@@ -47,10 +123,10 @@ jobs:
- name: Build native addon
working-directory: napi
run: bunx napi build --platform --release
run: bunx napi build --platform --release --target ${{ matrix.target }} ${{ matrix.build-flags }}
- name: Upload native binary
uses: actions/upload-artifact@v4
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7.0.1
with:
name: bindings-${{ matrix.target }}
path: napi/*.node
@@ -58,7 +134,7 @@ jobs:
- name: Upload generated JS bindings
if: matrix.target == 'x86_64-unknown-linux-gnu'
uses: actions/upload-artifact@v4
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7.0.1
with:
name: js-bindings
path: |
@@ -66,34 +142,149 @@ jobs:
napi/index.d.ts
if-no-files-found: error
smoke-test:
name: Smoke test ${{ matrix.target }}
needs: [check-version, build]
runs-on: ${{ matrix.os }}
strategy:
fail-fast: false
matrix:
include:
- os: ubuntu-latest
target: x86_64-unknown-linux-gnu
- os: ubuntu-latest
target: x86_64-unknown-linux-musl
- os: ubuntu-24.04-arm
target: aarch64-unknown-linux-gnu
- os: ubuntu-24.04-arm
target: aarch64-unknown-linux-musl
- os: macos-14
target: aarch64-apple-darwin
- os: windows-latest
target: x86_64-pc-windows-msvc
steps:
- uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
- name: Download native binary
uses: actions/download-artifact@3e5f45b2cfb9172054b4087a40e8e0b5a5461e7c # v8.0.1
with:
name: bindings-${{ matrix.target }}
path: napi
- name: Download generated JS bindings
uses: actions/download-artifact@3e5f45b2cfb9172054b4087a40e8e0b5a5461e7c # v8.0.1
with:
name: js-bindings
path: napi
# musl binaries must load under a real musl libc, so run inside Alpine.
- name: Run smoke test (Alpine)
if: contains(matrix.target, 'musl')
run: docker run --rm -v "$PWD:/repo" -w /repo/napi node:24-alpine node test.mjs
- name: Run smoke test
if: ${{ !contains(matrix.target, 'musl') }}
working-directory: napi
run: node test.mjs
publish:
name: Publish to npm
needs: build
needs: [check-version, build, smoke-test]
runs-on: ubuntu-latest
permissions:
contents: read
id-token: write
steps:
- uses: actions/checkout@v6
- uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
- uses: actions/setup-node@v6
- uses: actions/setup-node@820762786026740c76f36085b0efc47a31fe5020 # v7.0.0
with:
node-version: '24'
registry-url: 'https://registry.npmjs.org'
- name: Download all artifacts
uses: actions/download-artifact@v4
uses: actions/download-artifact@3e5f45b2cfb9172054b4087a40e8e0b5a5461e7c # v8.0.1
with:
path: napi/artifacts
- name: Collect binaries and publish
- name: Publish platform packages
working-directory: napi
run: |
cp artifacts/bindings-*/*.node .
VERSION="${{ needs.check-version.outputs.version }}"
for node_file in artifacts/bindings-*/pdf-inspector.*.node; do
base=$(basename "$node_file")
suffix=${base#pdf-inspector.}
suffix=${suffix%.node}
pkg="@firecrawl/pdf-inspector-$suffix"
if npm view "$pkg@$VERSION" version >/dev/null 2>&1; then
echo "$pkg@$VERSION already published — skipping"
continue
fi
dir="npm-dist/$suffix"
mkdir -p "$dir"
cp "$node_file" "$dir/"
node -e '
const [suffix, version] = process.argv.slice(1)
const meta = {
"linux-x64-gnu": { os: ["linux"], cpu: ["x64"], libc: ["glibc"] },
"linux-x64-musl": { os: ["linux"], cpu: ["x64"], libc: ["musl"] },
"linux-arm64-gnu": { os: ["linux"], cpu: ["arm64"], libc: ["glibc"] },
"linux-arm64-musl": { os: ["linux"], cpu: ["arm64"], libc: ["musl"] },
"darwin-arm64": { os: ["darwin"], cpu: ["arm64"] },
"win32-x64-msvc": { os: ["win32"], cpu: ["x64"] },
}[suffix]
if (!meta) {
console.error(`unknown platform suffix: ${suffix} — add it to the meta map`)
process.exit(1)
}
const pkg = {
name: `@firecrawl/pdf-inspector-${suffix}`,
version,
description: `Prebuilt ${suffix} binary for @firecrawl/pdf-inspector`,
main: `pdf-inspector.${suffix}.node`,
files: [`pdf-inspector.${suffix}.node`],
license: "MIT",
engines: { node: ">= 10" },
repository: { type: "git", url: "https://github.com/firecrawl/pdf-inspector" },
publishConfig: { access: "public" },
...meta,
}
require("fs").writeFileSync(`npm-dist/${suffix}/package.json`, JSON.stringify(pkg, null, 2) + "\n")
' "$suffix" "$VERSION"
echo "=== $pkg@$VERSION ==="
ls -la "$dir"
(cd "$dir" && npm publish --provenance --access public)
done
- name: Publish main package
working-directory: napi
run: |
VERSION="${{ needs.check-version.outputs.version }}"
if npm view "@firecrawl/pdf-inspector@$VERSION" version >/dev/null 2>&1; then
echo "@firecrawl/pdf-inspector@$VERSION already published — skipping"
exit 0
fi
cp artifacts/js-bindings/index.js .
cp artifacts/js-bindings/index.d.ts .
echo "=== Package contents ==="
ls -la *.node index.js index.d.ts
# Stamp optionalDependencies to this exact version so the platform
# pins can never drift from the main package version.
node -e '
const fs = require("fs")
const pkg = JSON.parse(fs.readFileSync("package.json", "utf8"))
for (const dep of Object.keys(pkg.optionalDependencies ?? {})) {
pkg.optionalDependencies[dep] = pkg.version
}
fs.writeFileSync("package.json", JSON.stringify(pkg, null, 2) + "\n")
'
echo "=== Main package contents ==="
npm pack --dry-run
npm publish --provenance --access public
+8
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@@ -1,10 +1,13 @@
# Rust build artifacts
/target/
/wasm/target/
/wasm/pkg/
debug/
*.pdb
# Cargo lock (optional for libraries)
Cargo.lock
!/wasm/Cargo.lock
# IDE
.idea/
@@ -34,4 +37,9 @@ scripts/
# Test output
test_output/
.firecrawl/
# Python
__pycache__/
*.pyc
.pytest_cache/
+80
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@@ -0,0 +1,80 @@
# pdf-inspector
Fast PDF text extraction to structured Markdown. CLI binary: `pdf2md`. Detection binary: `detect-pdf`.
## Build & Test
```bash
cargo fmt # format
cargo clippy -- -D warnings # lint (enforced, zero warnings)
cargo test # unit + integration tests (267+ unit, 73+ integration)
cargo build --release # release binary for benchmarks
```
All three must pass before committing.
## Binaries
- `pdf2md` — extract PDF → Markdown. Supports `--json` for structured output.
- `detect-pdf` — classify PDF type (TextBased/Scanned/Mixed/ImageBased). Supports `--analyze --json`.
## Architecture
```
src/
lib.rs public API, process_pdf_with_options, encoding issue detection
detector.rs PDF type classification, tiled-scan detection, page sampling
types.rs TextItem, TextLine, PdfRect, PdfLine
tounicode.rs CMap/ToUnicode parsing, CID decoding
text_utils.rs CJK/RTL handling, Otsu threshold, ligature expansion, NFKC
extractor/
mod.rs top-level extraction orchestrator
content_stream.rs PDF operator state machine (Tj/TJ/Td/Tm/q/Q)
fonts.rs font width/encoding, CMapDecisionCache, TrueType cmap fallback
layout.rs column detection (histogram), newspaper/tabular classification,
spanning-line pre-masking, sidebar detection
tables/
detect_rects.rs rect-based table detection (union-find clustering)
detect_heuristic.rs heuristic table detection (gap-histogram, body-font tables)
detect_lines.rs line-based table detection (H/V line grids)
grid.rs column/row boundaries, cell assignment
format.rs table→Markdown formatting, continuation row merging
markdown/
convert.rs core line→Markdown loop, struct-tree role support
analysis.rs font stats, heading tiers, paragraph thresholds
classify.rs line classification (header, list, code, caption)
preprocess.rs drop cap merging, heading line merging
postprocess.rs dot leaders, hyphenation, page numbers, URL formatting
```
## Key design decisions
- **Primary audience is AI agents.** Output optimized for token efficiency and semantic quality, not visual formatting. No cosmetic padding.
- **Three table detection strategies** run in priority order: rect-based → line-based → heuristic. First valid result wins.
- **Column detection** uses horizontal projection histograms with valley detection. Multi-item spanning lines (titles, headers) are pre-masked using column-aware thresholds before column assignment.
- **Newspaper vs tabular** classification determines reading order: newspaper reads columns sequentially, tabular Y-interleaves them.
- **Tiled-scan detection** catches scanned PDFs with JBIG2/strip images where no single tile exceeds the template threshold but aggregate area does (≥2M pixels).
- **Garbage text upgrade** reclassifies Mixed PDFs as Scanned when extracted text is <50% alphanumeric.
- **Tagged PDF support** uses structure tree roles (H1-H6, P, L, Code, BlockQuote) when available, falling back to font-size heuristics.
## Testing
- **Unit tests**: inline `#[cfg(test)] mod tests` in each module with synthetic data.
- **Integration tests**: `tests/integration_tests.rs` with fixture PDFs in `tests/fixtures/`.
- **Regression suite**: sibling repo `pdf-evals` with ~200 snapshot PDFs. Run `cargo build --release` then `bench.py test` in that repo before committing. While iterating, prefer a subset run (`bench.py test -q` for the quick set, or `-s <name>` for a named test set) and save the full `bench.py test` for the final pre-commit check.
- **Semantic quality**: run `bench.py score` in `pdf-evals` for the semantic verdict (TEDS + MHS + reading order + char/word + list preservation, composited). Character-level diff alone misclassifies structural improvements (e.g., column-detection rewrites) as regressions — `score` is the tie-breaker. See `pdf-evals/CLAUDE.md` "Semantic scoring".
## Debugging
```bash
RUST_LOG=pdf_inspector::extractor::layout=debug cargo run --bin pdf2md -- file.pdf
RUST_LOG=pdf_inspector::tables=debug cargo run --bin pdf2md -- file.pdf
RUST_LOG=pdf_inspector::detector=debug cargo run --release --bin detect-pdf -- file.pdf
```
## Conventions
- Clippy: use `is_some_and(...)` not `map_or(false, ...)`
- lopdf quirk: `ParseError` is private — match by string for `InvalidFileHeader`
- Column limit for tables: 25 (wide statistical tables)
- `propagate_merged_cells` skipped for >10 columns (spanning rects = background fills)
+2 -1
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@@ -61,7 +61,8 @@ src/
- **Unit tests**: inline `#[cfg(test)] mod tests` in each module with synthetic data.
- **Integration tests**: `tests/integration_tests.rs` with fixture PDFs in `tests/fixtures/`.
- **Regression suite**: sibling repo `pdf-evals` with 179+ snapshot PDFs. Run `cargo build --release` then `bench.py test` in that repo before committing.
- **Regression suite**: sibling repo `pdf-evals` with ~200 snapshot PDFs. Run `cargo build --release` then `bench.py test` in that repo before committing. While iterating, prefer a subset run (`bench.py test -q` for the quick set, or `-s <name>` for a named test set) and save the full `bench.py test` for the final pre-commit check.
- **Semantic quality**: run `bench.py score` in `pdf-evals` for the semantic verdict (TEDS + MHS + reading order + char/word + list preservation, composited). Character-level diff alone misclassifies structural improvements (e.g., column-detection rewrites) as regressions — `score` is the tie-breaker. See `pdf-evals/CLAUDE.md` "Semantic scoring".
## Debugging
+28 -9
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@@ -1,12 +1,25 @@
[package]
name = "pdf-inspector"
version = "0.1.0"
version = "0.1.7"
edition = "2021"
autobins = false
authors = ["Firecrawl Team"]
description = "Fast PDF inspection, classification, and text extraction with smart scanned vs text-based detection"
license = "MIT"
repository = "https://github.com/firecrawl/pdf-inspector"
readme = "docs/rust-api.md"
# Explicit allowlist: crates.io caps uploads at 10 MiB and tests/fixtures
# alone exceeds that. external/bcmaps ships in the crate — tounicode.rs
# loads it at runtime relative to CARGO_MANIFEST_DIR.
include = [
"/src/**",
"/external/bcmaps/**",
"/docs/rust-api.md",
"/LICENSE",
# maturin derives the sdist file list from this allowlist; the stub must
# ship so wheels built from the sdist keep their type hints.
"/pdf_inspector.pyi",
]
[lib]
name = "pdf_inspector"
@@ -14,20 +27,13 @@ crate-type = ["lib", "cdylib"]
[dependencies]
# Python bindings
pyo3 = { version = "0.25", features = ["extension-module"], optional = true }
# PDF parsing
lopdf = { git = "https://github.com/J-F-Liu/lopdf", rev = "7a05512d831415b1f2b1ce522391d6beab8a1284", features = ["rayon"] }
pyo3 = { version = "0.25", features = ["extension-module", "abi3-py38"], optional = true }
# Error handling
thiserror = "2.0"
# Parallel processing
rayon = "1.10"
# Logging
log = "0.4"
env_logger = "0.11"
# Text processing
regex = "1.10"
@@ -37,6 +43,19 @@ unicode-normalization = "0.1"
# TrueType font parsing (for Identity-H CID font cmap extraction)
ttf-parser = "0.25"
# Native builds keep lopdf's parallel parser and CLI logging. Browser WASM is
# deliberately single-threaded so it works without cross-origin isolation.
[target.'cfg(not(target_arch = "wasm32"))'.dependencies]
lopdf = { version = "0.42.0", features = ["rayon"] }
rayon = "1.10"
env_logger = "0.11"
# Browser builds use JavaScript randomness for encrypted PDFs and embed the
# bundled CMaps because there is no filesystem at runtime.
[target.'cfg(target_arch = "wasm32")'.dependencies]
lopdf = { version = "0.42.0", default-features = false, features = ["wasm_js"] }
include_dir = "0.7"
[dev-dependencies]
tempfile = "3.3"
+21
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@@ -0,0 +1,21 @@
MIT License
Copyright (c) 2026 Firecrawl
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
+71 -22
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@@ -1,6 +1,11 @@
# pdf-inspector
Fast Rust library for PDF classification and text extraction. Detects whether a PDF is text-based or scanned, extracts text with position awareness, and converts to clean Markdown — all without OCR. Includes bindings for [Python](docs/python.md) and [Node.js](napi/README.md).
[![Crates.io](https://img.shields.io/crates/v/pdf-inspector.svg)](https://crates.io/crates/pdf-inspector)
[![npm](https://img.shields.io/npm/v/@firecrawl/pdf-inspector.svg)](https://www.npmjs.com/package/@firecrawl/pdf-inspector)
[![PyPI](https://img.shields.io/pypi/v/pdf-inspector.svg)](https://pypi.org/project/pdf-inspector/)
[![License: MIT](https://img.shields.io/badge/license-MIT-blue.svg)](LICENSE)
Fast Rust library for PDF classification and text extraction. Detects whether a PDF is text-based or scanned, extracts text with position awareness, and converts to clean Markdown — all without OCR. Includes bindings for [Python](docs/python.md), [Node.js](napi/README.md), and [browser WebAssembly](wasm/README.md).
Built by [Firecrawl](https://firecrawl.dev) to handle text-based PDFs locally in under 200ms, skipping expensive OCR services for the ~54% of PDFs that don't need them.
@@ -14,24 +19,28 @@ Built by [Firecrawl](https://firecrawl.dev) to handle text-based PDFs locally in
- **Multi-column layout** — Automatic detection of newspaper-style columns, sequential reading order, and RTL text support.
- **Encoding issue detection** — Automatically flags broken font encodings so callers can fall back to OCR.
- **Single document load** — The document is parsed once and shared between detection and extraction, avoiding redundant I/O.
- **Browser WebAssembly** — Run the same Rust parser locally in browsers and Web Workers, with embedded CMaps and no server round trip.
- **Lightweight** — Pure Rust, no ML models, no external services. Single dependency on `lopdf` for PDF parsing.
## Benchmark
Evaluated on the [opendataloader-bench](https://github.com/opendataloader-project/opendataloader-bench) corpus (200 PDFs). Only direct text extraction engines are shown — no OCR, no ML models. Scores are 0-1, higher is better.
Evaluated on the [opendataloader-bench](https://github.com/opendataloader-project/opendataloader-bench) corpus (200 PDFs). Only local engines without model-based PDF parsing are shown; OCR was disabled. Scores are 0-1, higher is better.
| Engine | Overall | Reading Order (NID) | Tables (TEDS) | Headings (MHS) | Speed (200 docs) |
|---|---|---|---|---|---|
| pdf-inspector | 0.78 | 0.87 | 0.59 | 0.57 | 4s |
| opendataloader | 0.84 | 0.91 | 0.49 | 0.74 | 11s |
| pymupdf4llm | 0.73 | 0.89 | 0.40 | 0.41 | 18s |
| markitdown | 0.58 | 0.88 | 0.00 | 0.00 | 8s |
| pdf-inspector | **0.875** | **0.915** | **0.814** | 0.788 | **0.470s** |
| liteparse | 0.873 | 0.913 | 0.693 | **0.811** | 0.750s |
| opendataloader | 0.831 | 0.902 | 0.489 | 0.739 | 2.569s |
| pymupdf4llm | 0.735 | 0.886 | 0.401 | 0.424 | 17.117s |
| markitdown | 0.589 | 0.844 | 0.273 | 0.000 | 16.165s |
For context, engines that use OCR/ML (docling, marker, mineru) score 0.83-0.88 overall but take 2-180 minutes on the same corpus.
Results were refreshed on July 31, 2026, on an Apple M4 Pro. Engine versions were pdf-inspector 0.2.6, LiteParse 2.10.1, OpenDataLoader 2.2.1, PyMuPDF4LLM 0.2.0, and MarkItDown 0.1.5. Speed is the median of five alternating or rotating complete corpus runs after an excluded warm-up run, with each parser processing documents sequentially in a single process.
**Where we do well:** Speed (fastest of all engines), reading order, table detection vs other direct-text tools.
The complete parser configuration, per-document predictions, evaluator output, and generated charts are available in the [reproducible results branch](https://github.com/firecrawl/opendataloader-bench/tree/abi/pdf-parser-benchmark-results).
**Where we lag:** Heading detection trails opendataloader — many PDFs use bold text at body font size for headings, or headings that are only slightly larger than body text. Table detection trails OCR-based engines that can see visual table structure.
**Best fit:** Native-text PDFs where speed, reading order, and table structure matter. In this comparison, pdf-inspector delivered the higher overall, reading-order, and table scores, along with the fastest complete run. That makes it a strong local default for reports, research papers, financial documents, invoices, and legal PDFs that need clean, structured Markdown without adding OCR latency or infrastructure.
Use the [paired benchmark harness](docs/benchmarking.md) to compare two local builds against the exact same corpus and evaluator revision.
## Quick start
@@ -55,12 +64,12 @@ print(result.markdown) # Markdown string or None
### Node.js
```bash
npm install @firecrawl/pdf-inspector-js
npm install @firecrawl/pdf-inspector
```
```javascript
import { readFileSync } from 'fs';
import { processPdf, classifyPdf } from '@firecrawl/pdf-inspector-js';
import { processPdf, classifyPdf } from '@firecrawl/pdf-inspector';
const result = processPdf(readFileSync('document.pdf'));
console.log(result.pdfType); // "TextBased", "Scanned", "ImageBased", "Mixed"
@@ -69,11 +78,39 @@ console.log(result.markdown); // Markdown string or null
> Full API reference: [napi/README.md](napi/README.md)
### Browser WebAssembly
```bash
npm install @firecrawl/pdf-inspector-wasm
```
```javascript
import init, { processPdf } from '@firecrawl/pdf-inspector-wasm';
await init();
const response = await fetch('/document.pdf');
const pdf = new Uint8Array(await response.arrayBuffer());
const result = processPdf(pdf);
console.log(result.pdfType);
console.log(result.markdown);
```
> Full API reference: [wasm/README.md](wasm/README.md)
### Rust
Install from [crates.io](https://crates.io/crates/pdf-inspector):
```bash
cargo add pdf-inspector
```
Or add it manually:
```toml
[dependencies]
pdf-inspector = { git = "https://github.com/firecrawl/pdf-inspector" }
pdf-inspector = "0.1"
```
```rust
@@ -91,29 +128,40 @@ if let Some(markdown) = &result.markdown {
### CLI
```bash
# Install the CLI tools
cargo install pdf-inspector
# Convert PDF to Markdown
cargo run --bin pdf2md -- document.pdf
pdf2md document.pdf
# JSON output (for piping)
cargo run --bin pdf2md -- document.pdf --json
pdf2md document.pdf --json
# Positioned TextItem JSON, including is_underline metadata
pdf2md document.pdf --items-json
# Raw markdown only (no headers)
cargo run --bin pdf2md -- document.pdf --raw
pdf2md document.pdf --raw
# Token-efficient output (collapses long dot leaders and similar source padding)
pdf2md document.pdf --compact
# Insert page break markers (<!-- Page N -->)
cargo run --bin pdf2md -- document.pdf --pages
pdf2md document.pdf --pages
# Process only specific pages
cargo run --bin pdf2md -- document.pdf --select-pages 1,3,5-10
pdf2md document.pdf --select-pages 1,3,5-10
# Detection only (no extraction)
cargo run --bin detect-pdf -- document.pdf
cargo run --bin detect-pdf -- document.pdf --json
detect-pdf document.pdf
detect-pdf document.pdf --json
# Detection + layout analysis (tables, columns)
cargo run --bin detect-pdf -- document.pdf --analyze --json
detect-pdf document.pdf --analyze --json
```
From a source checkout, use `cargo run --bin pdf2md -- document.pdf` or `cargo run --bin detect-pdf -- document.pdf` instead.
## Architecture
```
@@ -161,6 +209,7 @@ src/
markdown/ — Markdown conversion and structure detection
bin/ — CLI tools (pdf2md, detect_pdf)
napi/ — Node.js/Bun bindings (napi-rs)
wasm/ — Browser bindings (wasm-bindgen)
```
## How classification works
@@ -189,7 +238,7 @@ The converter handles:
|---|---|
| Headings (H1-H4) | Font size tiers relative to body text, with 0.5pt clustering |
| Bold/italic | Font name patterns (Bold, Italic, Oblique) |
| Bullet lists | `*`, `-`, `*`, `○`, `●`, `◦` prefixes |
| Bullet lists | ``, `-`, `*`, `○`, `●`, `◦` prefixes |
| Numbered lists | `1.`, `1)`, `(1)` patterns |
| Letter lists | `a.`, `a)`, `(a)` patterns |
| Code blocks | Monospace fonts (Courier, Consolas, Monaco, Menlo, Fira Code, JetBrains Mono) and keyword detection |
@@ -223,4 +272,4 @@ See [docs/debugging.md](docs/debugging.md) for `RUST_LOG` environment variable u
## License
MIT
[MIT](LICENSE)
+33
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@@ -0,0 +1,33 @@
# Security Policy
## Reporting a Vulnerability
If you believe you've found a security vulnerability in pdf-inspector, please
report it privately so we can fix it before public disclosure.
**Preferred:** Email **help@firecrawl.dev** with:
- A description of the issue and its impact
- Steps to reproduce (a minimal PDF or input that triggers the bug is ideal)
- The version or commit hash of pdf-inspector you tested against
**Alternative:** Use GitHub's private vulnerability reporting under the
[Security tab](https://github.com/firecrawl/pdf-inspector/security/advisories/new).
We'll acknowledge your report in a timely manner and keep you updated on
remediation progress. Please do not open a public GitHub issue for security
bugs.
## Scope
In scope:
- Memory-safety issues (panics, OOB reads, UB) reachable from a crafted PDF
- Denial-of-service vectors (unbounded allocation, infinite loops) on
reasonably-sized inputs
- Bugs in the `pdf2md` / `detect-pdf` binaries or the `pdf-inspector` crate
that affect downstream consumers
Out of scope:
- Bugs in upstream dependencies (`lopdf`, etc.) — please report those upstream
- Extraction quality issues (wrong text, missing tables) — open a regular
GitHub issue instead
+62
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@@ -0,0 +1,62 @@
# Benchmarking against OpenDataLoader
The paired harness runs two `pdf2md` binaries through the same local
OpenDataLoader corpus, evaluates both outputs, and reports aggregate and
per-document deltas. This avoids comparing results produced from different
corpus revisions or evaluator versions.
Build a candidate and provide a released or worktree build as the baseline:
```bash
cargo build --release
python3 scripts/bench_opendataloader.py \
--bench-dir ../opendataloader-bench \
--baseline ../pdf-inspector-main/target/release/pdf2md \
--candidate target/release/pdf2md \
--max-document-regression 0.02 \
--json-output /tmp/pdf-inspector-benchmark.json
```
Pass `--reference-evaluation path/to/evaluation.json` to report the candidate
delta against another evaluation, and add `--require-reference-lead` to make a
negative reference delta fail the run. By default, the candidate must not
regress the baseline overall score or introduce missing predictions. Use
`--min-overall-delta` to require a specific aggregate gain.
The OpenDataLoader repository is external and keeps its normal
`prediction/pdf-inspector` output. Paired evaluation copies each run into a
temporary directory before evaluating it, so the baseline and candidate cannot
overwrite one another.
## Published comparison protocol
The public benchmark table was refreshed on July 31, 2026, on an Apple M4 Pro
using pdf-inspector 0.2.6, LiteParse 2.10.1, OpenDataLoader 2.2.1,
PyMuPDF4LLM 0.2.0, and MarkItDown 0.1.5. Every engine processed the same 200
PDFs sequentially in a single process with OCR disabled. Reported speed is the
median of five alternating or rotating complete corpus runs after an excluded
warm-up run; quality scores come from the benchmark evaluator over all 200
outputs. Raw timings, predictions, evaluations, and charts are available in the
[results branch](https://github.com/firecrawl/opendataloader-bench/tree/abi/pdf-parser-benchmark-results).
## Optional backend evidence probe
The evidence probe compares positioned `pdf2md` items with MuPDF structured
text on the same pages. It is intended to find deterministic extraction or
layout evidence that could justify a future native implementation; it does not
merge MuPDF output into Markdown, invoke OCR, or add a runtime dependency.
Install MuPDF's `mutool`, build `pdf2md`, then run:
```bash
python3 scripts/probe_backend_evidence.py document.pdf \
--pdf2md target/release/pdf2md \
--json-output /tmp/backend-evidence.json
```
The report flags pages when MuPDF exposes a material net token gain, repeated
alignment anchors absent from local evidence, or additional image blocks. The
JSON includes bounded token samples and page-level counts so promising cases
can be inspected without treating backend disagreement as automatically
correct. Thresholds are configurable with `--min-token-gain`,
`--min-alternate-only-ratio`, and `--min-anchor-gain`.
+38
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@@ -0,0 +1,38 @@
# Publishing
The Rust crate is published to [crates.io](https://crates.io/crates/pdf-inspector) with trusted publishing from GitHub Actions. The first release was published manually; future releases publish from `.github/workflows/publish-crate.yml` when a `Cargo.toml` version change lands on `main`.
## crates.io Trusted Publisher
Configure the trusted publisher for the `pdf-inspector` crate with:
- Repository: `firecrawl/pdf-inspector`
- Workflow: `publish-crate.yml`
- Environment: `crates-io`
The workflow uses `rust-lang/crates-io-auth-action@v1` to exchange GitHub's OIDC token for a short-lived crates.io token, then passes it to `cargo publish`.
## Release Steps
1. Update `version` in `Cargo.toml`.
2. Merge the version bump to `main`.
3. The publish workflow compares the new `Cargo.toml` version with `HEAD~1`, runs `cargo publish --dry-run`, then publishes if that version is not already on crates.io.
If `Cargo.toml` changes without a package version bump, the workflow exits without publishing.
## Browser WebAssembly package
The browser package is published as `@firecrawl/pdf-inspector-wasm`. Its version lives in `wasm/Cargo.toml`, and `.github/workflows/publish-wasm.yml` builds the `web` target with `wasm-pack` before publishing the generated package.
The npm package must exist before a trusted publisher can be configured. For the first release only:
1. Build with `wasm-pack build wasm --target web --scope firecrawl --out-dir pkg --release`.
2. Inspect with `npm pack --dry-run ./wasm/pkg`.
3. Publish with `npm publish ./wasm/pkg --access public` from an authorized maintainer session.
4. In the package settings on npm, configure the GitHub Actions trusted publisher:
- Organization: `firecrawl`
- Repository: `pdf-inspector`
- Workflow: `publish-wasm.yml`
- Allowed action: `npm publish`
After that one-time bootstrap, bumping the version in `wasm/Cargo.toml` and merging it to `main` publishes through OIDC. Until the package exists, the workflow exits cleanly without attempting an unauthenticated first publish. See npm's [trusted publishing documentation](https://docs.npmjs.com/trusted-publishers/) for the registry-side setup.
+97 -7
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@@ -1,9 +1,39 @@
# Python API
# pdf-inspector
Python bindings via [PyO3](https://pyo3.rs). Requires Rust toolchain for building from source.
Fast PDF classification and text extraction. Detects whether a PDF is text-based or scanned, extracts text with position awareness, and converts to clean Markdown — all without OCR. Python bindings via [PyO3](https://pyo3.rs) for the [pdf-inspector](https://github.com/firecrawl/pdf-inspector) Rust library.
Built by [Firecrawl](https://firecrawl.dev) to handle text-based PDFs locally in under 200ms, skipping expensive OCR services for the ~54% of PDFs that don't need them.
## Features
- **Smart classification** — `text_based` / `scanned` / `image_based` / `mixed` in ~1050ms, with a confidence score and per-page OCR routing.
- **Markdown conversion** — headings, lists, code blocks, bold/italic, URL linking, and dual-mode table detection (PDF drawing ops + text-alignment heuristics).
- **Layout-aware extraction** — multi-column reading order, position and font info per text item, RTL support.
- **Robust text decoding** — CID/Type0 fonts via ToUnicode CMaps, plus automatic flagging of broken encodings so callers can fall back to OCR.
- **Lightweight** — native Rust core, no ML models, no external services; ships type stubs.
## Benchmark
[opendataloader-bench](https://github.com/opendataloader-project/opendataloader-bench) corpus (200 PDFs), local engines without model-based PDF parsing; OCR disabled. Scores 01, higher is better:
| Engine | Overall | Reading order | Tables (TEDS) | Headings | Speed |
|---|---|---|---|---|---|
| **pdf-inspector** | **0.875** | **0.915** | **0.814** | 0.788 | **0.470s** |
| liteparse | 0.873 | 0.913 | 0.693 | **0.811** | 0.750s |
| opendataloader | 0.831 | 0.902 | 0.489 | 0.739 | 2.569s |
| pymupdf4llm | 0.735 | 0.886 | 0.401 | 0.424 | 17.117s |
| markitdown | 0.589 | 0.844 | 0.273 | 0.000 | 16.165s |
Refreshed July 31, 2026, on Apple M4 Pro; speed is the median of five complete corpus runs after an excluded warm-up. Full methodology and versions are in the [repo README](https://github.com/firecrawl/pdf-inspector#benchmark), with raw timings and artifacts in the [results branch](https://github.com/firecrawl/opendataloader-bench/tree/abi/pdf-parser-benchmark-results).
## Install
```bash
pip install pdf-inspector
```
Prebuilt wheels cover CPython ≥3.8 on Linux (x86_64, aarch64), macOS (Intel, Apple Silicon), and Windows (x64). Other platforms build from source, which requires a Rust toolchain. For local development in a repo checkout:
```bash
pip install maturin
maturin develop --release
@@ -42,6 +72,14 @@ text = pdf_inspector.extract_text("document.pdf")
items = pdf_inspector.extract_text_with_positions("document.pdf")
for item in items[:5]:
print(f"'{item.text}' at ({item.x:.0f}, {item.y:.0f}) size={item.font_size}")
# Per-page markdown (one Markdown string per page, plus layout metadata)
result = pdf_inspector.extract_pages_markdown("document.pdf")
for page in result.pages:
print(f"Page {page.page}: {len(page.markdown)} chars, needs_ocr={page.needs_ocr}")
# Restrict to specific 0-indexed pages (preserves caller order)
result = pdf_inspector.extract_pages_markdown("document.pdf", pages=[0, 2])
```
## API reference
@@ -60,15 +98,67 @@ for item in items[:5]:
| `extract_text_with_positions_bytes(data, pages=None)` | Text with positions from bytes |
| `extract_text_in_regions(path, page_regions)` | Extract text in bounding-box regions |
| `extract_text_in_regions_bytes(data, page_regions)` | Region extraction from bytes |
| `extract_pages_markdown(path, pages=None)` | Per-page Markdown + layout metadata (all pages by default) |
| `extract_pages_markdown_bytes(data, pages=None)` | Per-page Markdown from bytes |
## Types
**`PdfResult` fields:** `pdf_type`, `markdown`, `page_count`, `processing_time_ms`, `pages_needing_ocr`, `title`, `confidence`, `is_complex_layout`, `pages_with_tables`, `pages_with_columns`, `has_encoding_issues`
Type stubs (`pdf_inspector.pyi`) ship with the package. Result types at a glance:
**`PdfClassification` fields:** `pdf_type`, `page_count`, `pages_needing_ocr` (0-indexed), `confidence`
```python
class PdfResult: # process_pdf / detect_pdf
pdf_type: str # "text_based" | "scanned" | "image_based" | "mixed"
markdown: str | None # extracted Markdown (None for detect_pdf)
page_count: int
processing_time_ms: int
pages_needing_ocr: list[int] # 1-indexed
ocr_reasons_by_page: list[PageOcrReasons]
title: str | None
confidence: float # 0.0 - 1.0
is_complex_layout: bool
pages_with_tables: list[int]
pages_with_columns: list[int]
has_encoding_issues: bool # broken font encodings — consider OCR fallback
**`TextItem` fields:** `text`, `x`, `y`, `width`, `height`, `font`, `font_size`, `page`, `is_bold`, `is_italic`, `item_type`
class PageOcrReasons: # per-page OCR diagnostics
page: int # 1-indexed
reasons: list[str] # machine-readable reason identifiers
**`RegionText` fields:** `text`, `needs_ocr`
class PdfClassification: # classify_pdf
pdf_type: str
page_count: int
pages_needing_ocr: list[int] # 0-indexed
confidence: float
**`PageRegionTexts` fields:** `page` (0-indexed), `regions` (list of RegionText)
class TextItem: # extract_text_with_positions
text: str
x: float
y: float
width: float
height: float
font: str
font_size: float
page: int
is_bold: bool
is_italic: bool
is_underline: bool
is_strikeout: bool
item_type: str
class RegionText: # extract_text_in_regions
text: str
needs_ocr: bool
ocr_reason: str | None # machine-readable OCR reason
class PageRegionTexts: # extract_text_in_regions
page: int # 0-indexed
regions: list[RegionText]
class PagesExtractionResult: # extract_pages_markdown
pages: list[PageMarkdown] # PageMarkdown: page (0-indexed), markdown, needs_ocr, ocr_reason
pages_with_tables: list[int] # 1-indexed
pages_with_columns: list[int] # 1-indexed
pages_needing_ocr: list[int] # 1-indexed
ocr_reasons_by_page: list[PageOcrReasons]
is_complex: bool # any page has tables or multi-column layout
```
+65 -2
View File
@@ -1,12 +1,50 @@
# Rust API
# pdf-inspector
Add to your `Cargo.toml`:
Fast PDF classification and text extraction. Detects whether a PDF is text-based or scanned, extracts text with position awareness, and converts to clean Markdown — all without OCR. Pure Rust, no ML models, no external services; the only PDF dependency is [lopdf](https://crates.io/crates/lopdf). Also available for [Python](https://pypi.org/project/pdf-inspector/) and [Node.js](https://www.npmjs.com/package/@firecrawl/pdf-inspector).
Built by [Firecrawl](https://firecrawl.dev) to handle text-based PDFs locally in under 200ms, skipping expensive OCR services for the ~54% of PDFs that don't need them.
## Features
- **Smart classification** — TextBased / Scanned / ImageBased / Mixed in ~1050ms, with a confidence score and per-page OCR routing.
- **Markdown conversion** — headings, lists, code blocks, bold/italic, URL linking, and dual-mode table detection (PDF drawing ops + text-alignment heuristics).
- **Layout-aware extraction** — multi-column reading order, position and font info per text item, RTL support.
- **Robust text decoding** — CID/Type0 fonts via ToUnicode CMaps, plus automatic flagging of broken encodings so callers can fall back to OCR.
- **Lightweight** — pure Rust, no ML models, no external services; single PDF dependency ([lopdf](https://crates.io/crates/lopdf)).
## Benchmark
[opendataloader-bench](https://github.com/opendataloader-project/opendataloader-bench) corpus (200 PDFs), local engines without model-based PDF parsing; OCR disabled. Scores 01, higher is better:
| Engine | Overall | Reading order | Tables (TEDS) | Headings | Speed |
|---|---|---|---|---|---|
| **pdf-inspector** | **0.875** | **0.915** | **0.814** | 0.788 | **0.470s** |
| liteparse | 0.873 | 0.913 | 0.693 | **0.811** | 0.750s |
| opendataloader | 0.831 | 0.902 | 0.489 | 0.739 | 2.569s |
| pymupdf4llm | 0.735 | 0.886 | 0.401 | 0.424 | 17.117s |
| markitdown | 0.589 | 0.844 | 0.273 | 0.000 | 16.165s |
Refreshed July 31, 2026, on Apple M4 Pro; speed is the median of five complete corpus runs after an excluded warm-up. Full methodology and versions are in the [repo README](https://github.com/firecrawl/pdf-inspector#benchmark), with raw timings and artifacts in the [results branch](https://github.com/firecrawl/opendataloader-bench/tree/abi/pdf-parser-benchmark-results).
## Install
```bash
cargo add pdf-inspector
```
For the latest unreleased changes, use the git dependency instead:
```toml
[dependencies]
pdf-inspector = { git = "https://github.com/firecrawl/pdf-inspector" }
```
The crate also ships CLI binaries — `pdf2md` (PDF → Markdown, with `--json`, `--pages`, `--select-pages`, and the opt-in token-saving `--compact` profile) and `detect-pdf` (classification, with `--analyze --json`):
```bash
cargo install pdf-inspector
```
## Usage
Detect and extract in one call:
@@ -79,6 +117,27 @@ let bytes = std::fs::read("document.pdf")?;
let result = process_pdf_mem(&bytes)?;
```
Extract per-page Markdown (one string per page, plus document-wide layout
metadata):
```rust
use pdf_inspector::extract_pages_markdown;
// Pass `None` for every page in document order, or a slice of 0-indexed
// pages to restrict the output (caller-supplied order is preserved).
let result = extract_pages_markdown("document.pdf", None)?;
for page in &result.pages {
if page.needs_ocr {
// Route this page to OCR
} else {
println!("Page {}: {}", page.page, page.markdown);
}
}
println!("Complex layout? {}", result.is_complex);
```
## Processing modes
| Mode | What it does | Returns |
@@ -102,6 +161,8 @@ let result = process_pdf_mem(&bytes)?;
| `to_markdown(text, options)` | Convert plain text to Markdown |
| `to_markdown_from_items(items, options)` | Markdown from pre-extracted `TextItem`s |
| `to_markdown_from_items_with_rects(items, options, rects)` | Markdown with rectangle-based table detection |
| `extract_pages_markdown(path, pages)` | Per-page Markdown + layout metadata (file) |
| `extract_pages_markdown_mem(bytes, pages)` | Per-page Markdown from bytes |
Low-level detection functions are also available via the `detector` module (`detect_pdf_type`, `detect_pdf_type_with_config`, etc.) for callers who need `PdfTypeResult` instead of `PdfProcessResult`.
@@ -119,4 +180,6 @@ Low-level detection functions are also available via the `detector` module (`det
| `LayoutComplexity` | Layout analysis: is_complex, pages_with_tables, pages_with_columns |
| `TextItem` | Text with position, font info, and page number |
| `MarkdownOptions` | Configuration for Markdown formatting (page numbers, etc.) |
| `PageMarkdown` | Per-page result: page (0-indexed), markdown, needs_ocr |
| `PagesExtractionResult` | Per-page output + 1-indexed pages_with_tables / pages_with_columns / pages_needing_ocr, is_complex |
| `PdfError` | `Io`, `Parse`, `Encrypted`, `InvalidStructure`, `NotAPdf` |
+27 -4
View File
@@ -499,11 +499,13 @@ source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "0de51e6874e94e7bf76d726fc5d13ba782deca734ff60d5bb2fb2607c7406555"
dependencies = [
"cfg-if",
"js-sys",
"libc",
"r-efi",
"rand_core",
"wasip2",
"wasip3",
"wasm-bindgen",
]
[[package]]
@@ -557,6 +559,25 @@ version = "2.3.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "3d3067d79b975e8844ca9eb072e16b31c3c1c36928edf9c6789548c524d0d954"
[[package]]
name = "include_dir"
version = "0.7.4"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "923d117408f1e49d914f1a379a309cffe4f18c05cf4e3d12e613a15fc81bd0dd"
dependencies = [
"include_dir_macros",
]
[[package]]
name = "include_dir_macros"
version = "0.7.4"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "7cab85a7ed0bd5f0e76d93846e0147172bed2e2d3f859bcc33a8d9699cad1a75"
dependencies = [
"proc-macro2",
"quote",
]
[[package]]
name = "indexmap"
version = "2.13.0"
@@ -672,8 +693,9 @@ checksum = "5e5032e24019045c762d3c0f28f5b6b8bbf38563a65908389bf7978758920897"
[[package]]
name = "lopdf"
version = "0.40.0"
source = "git+https://github.com/J-F-Liu/lopdf?rev=7a05512d831415b1f2b1ce522391d6beab8a1284#7a05512d831415b1f2b1ce522391d6beab8a1284"
version = "0.42.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "25aab26d99567469098e64a02f42679f8965c6401263eefa31d8f2dcc37a221c"
dependencies = [
"aes",
"bitflags",
@@ -829,9 +851,10 @@ checksum = "384b8ab6d37215f3c5301a95a4accb5d64aa607f1fcb26a11b5303878451b4fe"
[[package]]
name = "pdf-inspector"
version = "0.1.0"
version = "0.1.7"
dependencies = [
"env_logger",
"include_dir",
"log",
"lopdf",
"once_cell",
@@ -844,7 +867,7 @@ dependencies = [
[[package]]
name = "pdf-inspector-napi"
version = "0.2.0"
version = "0.2.2"
dependencies = [
"napi",
"napi-build",
+1 -1
View File
@@ -1,6 +1,6 @@
[package]
name = "pdf-inspector-napi"
version = "0.2.0"
version = "0.2.2"
edition = "2021"
[lib]
+40 -11
View File
@@ -1,18 +1,40 @@
# firecrawl-pdf-inspector
# PDF Inspector
Fast PDF classification and region-based text extraction for Node.js/Bun. Native Rust performance via [napi-rs](https://napi.rs).
Built by [Firecrawl](https://firecrawl.dev) for hybrid OCR pipelines — extract text from PDF structure where possible, fall back to OCR only when needed.
## Features
- **Smart classification** — text-based / scanned / image-based / mixed in ~1050ms, with a confidence score and per-page OCR routing.
- **Region-based extraction** — pull text from bounding boxes with per-region quality checks (`needsOcr`).
- **Layout-aware** — multi-column reading order, position and font info per text item, RTL support.
- **Robust text decoding** — CID/Type0 fonts via ToUnicode CMaps, plus automatic flagging of broken encodings so callers can fall back to OCR.
- **Lightweight** — native Rust core via napi-rs, no ML models, no external services; ~56 MB platform binary, TypeScript definitions included.
## Benchmark
[opendataloader-bench](https://github.com/opendataloader-project/opendataloader-bench) corpus (200 PDFs), local engines without model-based PDF parsing; OCR disabled. Scores 01, higher is better:
| Engine | Overall | Reading order | Tables (TEDS) | Headings | Speed |
|---|---|---|---|---|---|
| **pdf-inspector** | **0.875** | **0.915** | **0.814** | 0.788 | **0.470s** |
| liteparse | 0.873 | 0.913 | 0.693 | **0.811** | 0.750s |
| opendataloader | 0.831 | 0.902 | 0.489 | 0.739 | 2.569s |
| pymupdf4llm | 0.735 | 0.886 | 0.401 | 0.424 | 17.117s |
| markitdown | 0.589 | 0.844 | 0.273 | 0.000 | 16.165s |
Refreshed July 31, 2026, on Apple M4 Pro; speed is the median of five complete corpus runs after an excluded warm-up. Full methodology and versions are in the [repo README](https://github.com/firecrawl/pdf-inspector#benchmark), with raw timings and artifacts in the [results branch](https://github.com/firecrawl/opendataloader-bench/tree/abi/pdf-parser-benchmark-results).
## Install
```bash
npm install firecrawl-pdf-inspector
npm install @firecrawl/pdf-inspector
# or
bun add firecrawl-pdf-inspector
bun add @firecrawl/pdf-inspector
```
Prebuilt binaries included for **linux-x64** and **macOS ARM64**. No Rust toolchain needed.
Prebuilt binaries for **Linux x64/ARM64** (glibc and musl/Alpine), **macOS ARM64**, and **Windows x64** — npm installs only the one matching your platform. No Rust toolchain needed.
## API
@@ -21,7 +43,7 @@ Prebuilt binaries included for **linux-x64** and **macOS ARM64**. No Rust toolch
Classify a PDF as TextBased, Scanned, Mixed, or ImageBased (~10-50ms). Returns which pages need OCR.
```typescript
import { classifyPdf } from 'firecrawl-pdf-inspector'
import { classifyPdf } from '@firecrawl/pdf-inspector'
import { readFileSync } from 'fs'
const pdf = readFileSync('document.pdf')
@@ -37,10 +59,10 @@ console.log(result.confidence) // 0.875
Extract text within bounding-box regions from a PDF. Designed for hybrid OCR pipelines where a layout model detects regions in rendered page images, and this function extracts text from the PDF structure for text-based pages — skipping GPU OCR.
Each region result includes a `needsOcr` flag that signals unreliable extraction (empty text, GID-encoded fonts, garbage text, encoding issues).
Each region result includes a `needsOcr` flag that signals unreliable extraction (empty text, GID-encoded fonts, garbage text, encoding issues). When the cause is a suspected garbled text layer, `ocrReason` is set to `"suspected_garbled_text"`.
```typescript
import { extractTextInRegions } from 'firecrawl-pdf-inspector'
import { extractTextInRegions } from '@firecrawl/pdf-inspector'
const result = extractTextInRegions(pdf, [
{
@@ -84,15 +106,22 @@ interface PageRegionTexts {
interface RegionText {
text: string
needsOcr: boolean // true when text is unreliable
ocrReason?: string // "suspected_garbled_text" when known
}
```
## Platforms
| Platform | Architecture | Supported |
|----------|-------------|-----------|
| Linux | x64 | Yes |
| macOS | ARM64 | Yes |
Prebuilt binaries ship as platform-specific packages installed automatically via `optionalDependencies`:
| Platform | Architecture | Package |
|----------|-------------|---------|
| Linux | x64 (glibc) | `@firecrawl/pdf-inspector-linux-x64-gnu` |
| Linux | x64 (musl/Alpine) | `@firecrawl/pdf-inspector-linux-x64-musl` |
| Linux | ARM64 (glibc) | `@firecrawl/pdf-inspector-linux-arm64-gnu` |
| Linux | ARM64 (musl/Alpine) | `@firecrawl/pdf-inspector-linux-arm64-musl` |
| macOS | ARM64 | `@firecrawl/pdf-inspector-darwin-arm64` |
| Windows | x64 | `@firecrawl/pdf-inspector-win32-x64-msvc` |
## License
+131
View File
@@ -0,0 +1,131 @@
#!/usr/bin/env node
import { readFileSync, writeFileSync } from "fs";
import { createRequire } from "module";
const require = createRequire(import.meta.url);
const { version } = require("../package.json");
const HELP = `pdf-inspector v${version} — Fast PDF text extraction to Markdown
Usage:
pdf-inspector <file> Extract markdown (default)
pdf-inspector detect <file> Classify PDF type
Options:
--json Output as JSON
--pages <pages> Comma-separated page numbers (e.g. 1,3,5)
-o, --output <file> Write output to file instead of stdout
-h, --help Show this help
-v, --version Show version
Examples:
pdf-inspector document.pdf
pdf-inspector document.pdf --json
pdf-inspector document.pdf --pages 1,2,3
pdf-inspector detect document.pdf --json
cat document.pdf | pdf-inspector -`;
function die(msg) {
process.stderr.write(`error: ${msg}\n`);
process.exit(1);
}
function parseArgs(argv) {
const opts = { json: false, pages: null, output: null, file: null, command: "extract" };
let i = 0;
// Check for subcommand
if (argv[0] === "detect") {
opts.command = "detect";
i = 1;
}
while (i < argv.length) {
const arg = argv[i];
if (arg === "-h" || arg === "--help") {
process.stdout.write(HELP + "\n");
process.exit(0);
} else if (arg === "-v" || arg === "--version") {
process.stdout.write(`${version}\n`);
process.exit(0);
} else if (arg === "--json") {
opts.json = true;
} else if (arg === "--pages") {
i++;
if (!argv[i]) die("--pages requires a value (e.g. 1,3,5)");
opts.pages = argv[i].split(",").map((p) => {
const n = parseInt(p.trim(), 10);
if (Number.isNaN(n) || n < 1) die(`invalid page number: ${p}`);
return n;
});
} else if (arg === "-o" || arg === "--output") {
i++;
if (!argv[i]) die("-o requires a filename");
opts.output = argv[i];
} else if (arg === "-" || !arg.startsWith("-")) {
if (opts.file) die(`unexpected argument: ${arg}`);
opts.file = arg;
} else {
die(`unknown option: ${arg}`);
}
i++;
}
return opts;
}
function readInput(file) {
if (file === "-") {
return readFileSync(0); // stdin fd
}
try {
return readFileSync(file);
} catch (err) {
if (err.code === "ENOENT") die(`file not found: ${file}`);
die(err.message);
}
}
function output(text, outputPath) {
if (outputPath) {
writeFileSync(outputPath, text);
} else {
process.stdout.write(text);
}
}
// ---- main ----
const opts = parseArgs(process.argv.slice(2));
if (!opts.file) {
// Check if stdin is piped
if (process.stdin.isTTY !== false) {
process.stderr.write(HELP + "\n");
process.exit(1);
}
opts.file = "-";
}
const { processPdf, classifyPdf } = await import("../index.js");
const buffer = readInput(opts.file);
if (opts.command === "detect") {
const result = classifyPdf(buffer);
if (opts.json) {
output(JSON.stringify(result, null, 2) + "\n", opts.output);
} else {
const ocr = result.pagesNeedingOcr.length > 0
? `, ${result.pagesNeedingOcr.length} pages need OCR`
: "";
output(`${result.pdfType} (${result.pageCount} pages, confidence: ${result.confidence.toFixed(2)}${ocr})\n`, opts.output);
}
} else {
const result = processPdf(buffer, opts.pages ?? undefined);
if (opts.json) {
output(JSON.stringify(result, null, 2) + "\n", opts.output);
} else {
output((result.markdown ?? "") + "\n", opts.output);
}
}
+8
View File
@@ -7,6 +7,14 @@
"devDependencies": {
"@napi-rs/cli": "^3.4.1",
},
"optionalDependencies": {
"@firecrawl/pdf-inspector-darwin-arm64": "1.12.0",
"@firecrawl/pdf-inspector-linux-arm64-gnu": "1.12.0",
"@firecrawl/pdf-inspector-linux-arm64-musl": "1.12.0",
"@firecrawl/pdf-inspector-linux-x64-gnu": "1.12.0",
"@firecrawl/pdf-inspector-linux-x64-musl": "1.12.0",
"@firecrawl/pdf-inspector-win32-x64-msvc": "1.12.0",
},
},
},
"packages": {
+20 -8
View File
@@ -1,9 +1,12 @@
{
"name": "firecrawl-pdf-inspector",
"version": "0.5.0",
"name": "@firecrawl/pdf-inspector",
"version": "1.12.0",
"description": "Fast PDF classification and text extraction. Detect text-based vs scanned PDFs, extract text by region with quality checks. Native Rust performance via napi-rs.",
"main": "index.js",
"types": "index.d.ts",
"bin": {
"pdf-inspector": "bin/pdf-inspector.mjs"
},
"license": "MIT",
"keywords": [
"pdf",
@@ -19,7 +22,7 @@
"files": [
"index.js",
"index.d.ts",
"*.node",
"bin/",
"README.md"
],
"repository": {
@@ -34,11 +37,12 @@
"binaryName": "pdf-inspector",
"targets": [
"x86_64-unknown-linux-gnu",
"aarch64-apple-darwin"
],
"package": {
"name": "@firecrawl/pdf-inspector-js"
}
"x86_64-unknown-linux-musl",
"aarch64-unknown-linux-gnu",
"aarch64-unknown-linux-musl",
"aarch64-apple-darwin",
"x86_64-pc-windows-msvc"
]
},
"scripts": {
"build": "napi build --platform --release",
@@ -46,5 +50,13 @@
},
"devDependencies": {
"@napi-rs/cli": "^3.4.1"
},
"optionalDependencies": {
"@firecrawl/pdf-inspector-linux-x64-gnu": "1.12.0",
"@firecrawl/pdf-inspector-linux-x64-musl": "1.12.0",
"@firecrawl/pdf-inspector-linux-arm64-gnu": "1.12.0",
"@firecrawl/pdf-inspector-linux-arm64-musl": "1.12.0",
"@firecrawl/pdf-inspector-darwin-arm64": "1.12.0",
"@firecrawl/pdf-inspector-win32-x64-msvc": "1.12.0"
}
}
+29
View File
@@ -0,0 +1,29 @@
import { readFileSync } from "node:fs";
import { createRequire } from "node:module";
const require = createRequire(import.meta.url);
const { detectVectorGridInRegion } = require("./index.js");
const pdfPath =
process.argv[2] ?? "/tmp/pdf_inspector_indent_fixtures/cis_edge_benchmark.pdf";
const pdf = readFileSync(pdfPath);
const dpi = Number(process.argv[3] ?? 200);
const crops = [
{ pageIdx: 29, box: [0, 0, 612, 792], label: "page30-full" },
{ pageIdx: 16, box: [0, 0, 612, 792], label: "page17-full" },
{ pageIdx: 23, box: [0, 0, 612, 792], label: "page24-full" },
];
for (const { pageIdx, box, label } of crops) {
const result = detectVectorGridInRegion(pdf, pageIdx, box, dpi);
if (!result) {
console.log(`${label}: null`);
continue;
}
const rows = result.structureTokens.filter((token) => token === "<tr>").length;
const cols = rows > 0 ? result.cellBboxes.length / rows : 0;
console.log(
`${label}: cells=${result.cellBboxes.length} rows=${rows} cols=${cols}`,
);
}
+339
View File
@@ -40,6 +40,8 @@ pub struct PdfResult {
pub processing_time_ms: u32,
/// 1-indexed page numbers that need OCR.
pub pages_needing_ocr: Vec<u32>,
/// Machine-readable OCR reasons by 1-indexed page.
pub ocr_reasons_by_page: Vec<PageOcrReasons>,
pub title: Option<String>,
pub confidence: f64,
pub is_complex_layout: bool,
@@ -48,6 +50,13 @@ pub struct PdfResult {
pub has_encoding_issues: bool,
}
/// OCR reasons for a single 1-indexed page.
#[napi(object)]
pub struct PageOcrReasons {
pub page: u32,
pub reasons: Vec<String>,
}
/// Lightweight PDF classification result.
#[napi(object)]
pub struct PdfClassification {
@@ -71,6 +80,12 @@ pub struct TextItem {
pub page: u32,
pub is_bold: bool,
pub is_italic: bool,
/// Underline detected geometrically (drawn rule/thin rect under the
/// baseline) — PDFs carry no underline font flag.
pub is_underline: bool,
/// Strikeout detected geometrically (rule crossing the glyphs at mid
/// x-height).
pub is_strikeout: bool,
pub item_type: ItemType,
/// URL for link items, `None` for other types.
pub link_url: Option<String>,
@@ -90,6 +105,8 @@ pub struct RegionText {
pub text: String,
/// `true` when the text should not be trusted (empty, GID fonts, garbage, encoding issues).
pub needs_ocr: bool,
/// Machine-readable OCR reason when the cause is known.
pub ocr_reason: Option<String>,
}
/// Extracted text for one page's regions.
@@ -99,6 +116,13 @@ pub struct PageRegionTexts {
pub regions: Vec<RegionText>,
}
/// Vector-grid detection result compatible with `extractTablesWithStructure*`.
#[napi(object)]
pub struct VectorGridDetectionJs {
pub structure_tokens: Vec<String>,
pub cell_bboxes: Vec<Vec<f64>>,
}
// ---------------------------------------------------------------------------
// Helpers
// ---------------------------------------------------------------------------
@@ -119,6 +143,7 @@ fn to_napi_result(r: pdf_inspector::PdfProcessResult) -> PdfResult {
page_count: r.page_count,
processing_time_ms: r.processing_time_ms as u32,
pages_needing_ocr: r.pages_needing_ocr,
ocr_reasons_by_page: to_napi_page_ocr_reasons(r.ocr_reasons_by_page),
title: r.title,
confidence: r.confidence as f64,
is_complex_layout: r.layout.is_complex,
@@ -128,6 +153,18 @@ fn to_napi_result(r: pdf_inspector::PdfProcessResult) -> PdfResult {
}
}
fn to_napi_page_ocr_reasons(
reasons: Vec<pdf_inspector::PageOcrReasons>,
) -> Vec<PageOcrReasons> {
reasons
.into_iter()
.map(|reason| PageOcrReasons {
page: reason.page,
reasons: reason.reasons,
})
.collect()
}
fn convert_item_type(t: &pdf_inspector::types::ItemType) -> (ItemType, Option<String>) {
match t {
pdf_inspector::types::ItemType::Text => (ItemType::Text, None),
@@ -259,6 +296,8 @@ pub fn extract_text_with_positions(
page: item.page,
is_bold: item.is_bold,
is_italic: item.is_italic,
is_underline: item.is_underline,
is_strikeout: item.is_strikeout,
item_type,
link_url,
}
@@ -317,6 +356,305 @@ pub fn extract_tables_in_regions(
})
}
/// Detect a vector ruled-line / rectangle grid inside one page region.
///
/// Returns TSR-compatible structure tokens plus crop-pixel cell bboxes, or
/// `null` when the region does not contain a valid vector grid.
///
/// `pageIdx` is 0-indexed. `regionPdfPtBbox` is `[x1,y1,x2,y2]` in PDF
/// points with top-left origin. `renderDpi` is the DPI of the crop image that
/// will consume the returned cell bboxes.
#[napi]
pub fn detect_vector_grid_in_region(
buffer: Buffer,
page_idx: u32,
region_pdf_pt_bbox: Vec<f64>,
render_dpi: f64,
) -> Result<Option<VectorGridDetectionJs>> {
let bytes: Vec<u8> = buffer.to_vec();
let region = if region_pdf_pt_bbox.len() == 4 {
[
region_pdf_pt_bbox[0] as f32,
region_pdf_pt_bbox[1] as f32,
region_pdf_pt_bbox[2] as f32,
region_pdf_pt_bbox[3] as f32,
]
} else {
[0.0, 0.0, 0.0, 0.0]
};
catch_panic("detect_vector_grid_in_region", move || {
let result = pdf_inspector::detect_vector_grid_in_region_mem(
&bytes,
page_idx,
region,
render_dpi as f32,
)
.map_err(|e| to_napi_err(e, "detect_vector_grid_in_region"))?;
Ok(result.map(|r| VectorGridDetectionJs {
structure_tokens: r.structure_tokens,
cell_bboxes: r
.cell_bboxes
.into_iter()
.map(|bbox| bbox.into_iter().map(|v| v as f64).collect())
.collect(),
}))
})
}
/// One cropped table region plus its raw structure-recovery output, for
/// `extractTablesWithStructure`.
///
/// `structureTokens` and `cellBboxes` are typically produced by an external
/// table-structure recognition model (e.g. SLANet on PaddleOCR) running on
/// a rendered crop of the page. pdf-inspector uses the structure to lay out
/// the cells and pulls the cell text from the native PDF — no OCR involved.
#[napi(object)]
pub struct TsrTableInputJs {
/// 0-indexed page number where the crop was taken from.
pub page: u32,
/// Crop bbox on the page, `[x1, y1, x2, y2]` in PDF points with
/// top-left origin.
pub crop_pdf_pt_bbox: Vec<f64>,
/// DPI the crop image was rendered at (e.g. `200.0`).
pub render_dpi: f64,
/// Raw structure tokens emitted by the TSR model, in document order.
pub structure_tokens: Vec<String>,
/// One bbox per cell (in document order). May be 4-element
/// `[x1,y1,x2,y2]` or 8-element 4-corner polygon, in crop image-pixel
/// space.
pub cell_bboxes: Vec<Vec<f64>>,
}
/// Extract markdown tables using externally-supplied structure recovery.
///
/// For each input, pairs structure tokens with cell bboxes (rowspan/colspan
/// aware), converts each cell bbox from crop image-pixels into page PDF
/// points, pulls the cell's text from the native PDF, and emits a markdown
/// pipe-table.
///
/// Returns one markdown string per input, in input order.
#[napi]
pub fn extract_tables_with_structure(
buffer: Buffer,
inputs: Vec<TsrTableInputJs>,
) -> Result<Vec<String>> {
let bytes: Vec<u8> = buffer.to_vec();
let parsed = parse_tsr_inputs(&inputs);
catch_panic("extract_tables_with_structure", move || {
pdf_inspector::extract_tables_with_structure_mem(&bytes, &parsed)
.map_err(|e| to_napi_err(e, "extract_tables_with_structure"))
})
}
/// One resolved cell from `extractTablesWithStructureCells`.
#[napi(object)]
pub struct StructuredCellJs {
/// 0-indexed grid row.
pub row: u32,
/// 0-indexed grid column.
pub col: u32,
/// 1 for a normal cell.
pub rowspan: u32,
/// 1 for a normal cell.
pub colspan: u32,
/// `true` when the cell is a `<th>` or sits inside `<thead>`.
pub is_header: bool,
/// Text extracted from the native PDF for this cell (may be empty).
pub text: String,
/// Axis-aligned bbox `[x1, y1, x2, y2]` in page PDF-points, top-left
/// origin. Useful for debug overlays or per-cell post-processing.
pub page_pt_bbox: Vec<f64>,
}
/// Extract structured cells using externally-supplied structure recovery.
///
/// Lower-level sibling of [`extractTablesWithStructure`]: instead of
/// rendering markdown, returns the resolved cells (row, col, rowspan,
/// colspan, isHeader, text, pagePtBbox) so callers can drive their own
/// rendering, debug overlays, or per-cell post-processing.
///
/// Returns one `Array<StructuredCellJs>` per input, in input order.
#[napi]
pub fn extract_tables_with_structure_cells(
buffer: Buffer,
inputs: Vec<TsrTableInputJs>,
) -> Result<Vec<Vec<StructuredCellJs>>> {
let bytes: Vec<u8> = buffer.to_vec();
let parsed = parse_tsr_inputs(&inputs);
catch_panic("extract_tables_with_structure_cells", move || {
let result = pdf_inspector::extract_tables_with_structure_cells_mem(&bytes, &parsed)
.map_err(|e| to_napi_err(e, "extract_tables_with_structure_cells"))?;
Ok(result
.into_iter()
.map(|cells| {
cells
.into_iter()
.map(|c| StructuredCellJs {
row: c.row as u32,
col: c.col as u32,
rowspan: c.rowspan as u32,
colspan: c.colspan as u32,
is_header: c.is_header,
text: c.text,
page_pt_bbox: c.page_pt_bbox.iter().map(|v| *v as f64).collect(),
})
.collect()
})
.collect())
})
}
/// One result from `extractTablesWithStructureAuto` — markdown plus a
/// diagnostic flag identifying which path produced it.
///
/// `fallbackReason` is `null` when the TSR-hybrid path produced the
/// markdown directly. When stage 1's quality check fires (the cells
/// look like a SLANet detection pathology — phantom rows or multi-row
/// content in a single cell), the auto path may expand the TSR cells
/// in-place or run the heuristic table extractor on the same region.
/// `fallbackReason` carries the diagnostic label (for example
/// `"multi_row_in_cell_expanded"` or `"phantom_empty_row"`).
#[napi(object)]
pub struct TableExtractionResultJs {
pub markdown: String,
pub fallback_reason: Option<String>,
}
/// Auto-fallback variant of [`extractTablesWithStructure`].
///
/// Runs the TSR-hybrid path, checks the resulting cells for known
/// SLANet detection pathologies, expands multi-row cells in-place when
/// possible, and otherwise falls back to the heuristic
/// `extractTablesInRegions` for inputs where the TSR path looks
/// compromised.
///
/// On clean inputs this returns identical markdown to
/// `extractTablesWithStructure`; on flagged inputs `fallbackReason` is
/// set to the recovery path that produced the result.
#[napi]
pub fn extract_tables_with_structure_auto(
buffer: Buffer,
inputs: Vec<TsrTableInputJs>,
) -> Result<Vec<TableExtractionResultJs>> {
let bytes: Vec<u8> = buffer.to_vec();
let parsed = parse_tsr_inputs(&inputs);
catch_panic("extract_tables_with_structure_auto", move || {
let result = pdf_inspector::extract_tables_with_structure_auto_mem(&bytes, &parsed)
.map_err(|e| to_napi_err(e, "extract_tables_with_structure_auto"))?;
Ok(result
.into_iter()
.map(|r| TableExtractionResultJs {
markdown: r.markdown,
fallback_reason: r.fallback_reason,
})
.collect())
})
}
fn parse_tsr_inputs(inputs: &[TsrTableInputJs]) -> Vec<pdf_inspector::TsrTableInput> {
inputs
.iter()
.map(|i| {
let crop = if i.crop_pdf_pt_bbox.len() == 4 {
[
i.crop_pdf_pt_bbox[0] as f32,
i.crop_pdf_pt_bbox[1] as f32,
i.crop_pdf_pt_bbox[2] as f32,
i.crop_pdf_pt_bbox[3] as f32,
]
} else {
[0.0, 0.0, 0.0, 0.0]
};
let cell_bboxes: Vec<Vec<f32>> = i
.cell_bboxes
.iter()
.map(|bb| bb.iter().map(|v| *v as f32).collect())
.collect();
pdf_inspector::TsrTableInput {
page: i.page,
crop_pdf_pt_bbox: crop,
render_dpi: i.render_dpi as f32,
structure_tokens: i.structure_tokens.clone(),
cell_bboxes,
}
})
.collect()
}
/// Per-page markdown extraction result.
#[napi(object)]
pub struct PageMarkdownResult {
/// 0-indexed page number.
pub page: u32,
/// Formatted markdown for this page.
pub markdown: String,
/// `true` when text on this page is unreliable.
pub needs_ocr: bool,
/// Machine-readable OCR reason when the cause is known.
pub ocr_reason: Option<String>,
}
/// Combined per-page markdown extraction and layout classification result.
#[napi(object)]
pub struct PagesExtractionResult {
/// Per-page markdown results.
pub pages: Vec<PageMarkdownResult>,
/// 1-indexed pages where tables were detected.
pub pages_with_tables: Vec<u32>,
/// 1-indexed pages where multi-column layout was detected.
pub pages_with_columns: Vec<u32>,
/// 1-indexed pages that need OCR (scanned/image-based).
pub pages_needing_ocr: Vec<u32>,
/// Machine-readable OCR reasons by 1-indexed page.
pub ocr_reasons_by_page: Vec<PageOcrReasons>,
/// True if any page has tables or columns.
pub is_complex: bool,
}
/// Extract formatted markdown for pages of a PDF, with layout classification
/// metadata.
///
/// Returns per-page markdown and classification data (tables, columns,
/// OCR needs) from a single parse. Font statistics are computed from the
/// full document so header detection is consistent across pages.
///
/// Omit `pages` (or pass `undefined`) to return every page in document
/// order. Pass an array of 0-indexed page numbers to restrict output to
/// those pages, in caller-supplied order.
#[napi]
pub fn extract_pages_markdown(
buffer: Buffer,
pages: Option<Vec<u32>>,
) -> Result<PagesExtractionResult> {
let bytes: Vec<u8> = buffer.to_vec();
catch_panic("extract_pages_markdown", move || {
let result = pdf_inspector::extract_pages_markdown_mem(&bytes, pages.as_deref())
.map_err(|e| to_napi_err(e, "extract_pages_markdown"))?;
Ok(PagesExtractionResult {
pages: result
.pages
.into_iter()
.map(|r| PageMarkdownResult {
page: r.page,
markdown: r.markdown,
needs_ocr: r.needs_ocr,
ocr_reason: r.ocr_reason,
})
.collect(),
pages_with_tables: result.pages_with_tables,
pages_with_columns: result.pages_with_columns,
pages_needing_ocr: result.pages_needing_ocr,
ocr_reasons_by_page: to_napi_page_ocr_reasons(result.ocr_reasons_by_page),
is_complex: result.is_complex,
})
})
}
fn parse_page_regions(page_regions: &[PageRegions]) -> Vec<(u32, Vec<[f32; 4]>)> {
page_regions
.iter()
@@ -348,6 +686,7 @@ fn to_page_region_texts(results: Vec<pdf_inspector::PageRegionResult>) -> Vec<Pa
.map(|r| RegionText {
text: r.text,
needs_ocr: r.needs_ocr,
ocr_reason: r.ocr_reason,
})
.collect(),
})
+35
View File
@@ -7,6 +7,8 @@ import {
extractText,
extractTextWithPositions,
extractTextInRegions,
detectVectorGridInRegion,
extractPagesMarkdown,
} from './index.js';
const fixture = readFileSync('../tests/fixtures/thermo-freon12.pdf');
@@ -89,6 +91,39 @@ assert.equal(typeof regionResults[0].regions[0].text, 'string');
assert.equal(typeof regionResults[0].regions[0].needsOcr, 'boolean');
console.log(' extractTextInRegions: OK');
// --- detectVectorGridInRegion ---
console.log('Testing detectVectorGridInRegion...');
const vectorGrid = detectVectorGridInRegion(fixture, 0, [0, 0, 600, 800], 72);
assert.ok(vectorGrid === null || typeof vectorGrid === 'object');
if (vectorGrid) {
assert.ok(Array.isArray(vectorGrid.structureTokens));
assert.ok(Array.isArray(vectorGrid.cellBboxes));
assert.ok(vectorGrid.cellBboxes.every(bbox => Array.isArray(bbox) && bbox.length === 4));
}
console.log(' detectVectorGridInRegion: OK');
// --- extractPagesMarkdown ---
console.log('Testing extractPagesMarkdown...');
// omit pages → every page in document order
const allPages = extractPagesMarkdown(fixture);
assert.equal(allPages.pages.length, 3);
assert.deepEqual(allPages.pages.map(p => p.page), [0, 1, 2]);
assert.ok(typeof allPages.pages[0].markdown === 'string');
assert.equal(typeof allPages.pages[0].needsOcr, 'boolean');
assert.ok(Array.isArray(allPages.pagesWithTables));
assert.ok(Array.isArray(allPages.pagesWithColumns));
assert.ok(Array.isArray(allPages.pagesNeedingOcr));
assert.equal(typeof allPages.isComplex, 'boolean');
console.log(' extractPagesMarkdown (no pages arg): OK');
// selected pages preserve caller order
const picked = extractPagesMarkdown(fixture, [2, 0]);
assert.equal(picked.pages.length, 2);
assert.equal(picked.pages[0].page, 2);
assert.equal(picked.pages[1].page, 0);
console.log(' extractPagesMarkdown with pages: OK');
// --- Error handling ---
console.log('Testing error handling...');
assert.throws(() => processPdf(Buffer.from('not a pdf')), /process_pdf/);
+68
View File
@@ -10,6 +10,9 @@ class PdfResult:
page_count: int
processing_time_ms: int
pages_needing_ocr: list[int]
"""1-indexed page numbers that need OCR."""
ocr_reasons_by_page: list["PageOcrReasons"]
"""Machine-readable OCR reasons by 1-indexed page."""
title: Optional[str]
confidence: float
is_complex_layout: bool
@@ -17,6 +20,13 @@ class PdfResult:
pages_with_columns: list[int]
has_encoding_issues: bool
class PageOcrReasons:
"""OCR reasons for a single 1-indexed page."""
page: int
"""1-indexed page number."""
reasons: list[str]
"""Machine-readable OCR reason identifiers."""
class PdfClassification:
"""Lightweight PDF classification result."""
pdf_type: str
@@ -38,6 +48,8 @@ class TextItem:
page: int
is_bold: bool
is_italic: bool
is_underline: bool
is_strikeout: bool
item_type: str
class RegionText:
@@ -45,6 +57,8 @@ class RegionText:
text: str
needs_ocr: bool
"""True when the text should not be trusted."""
ocr_reason: Optional[str]
"""Machine-readable OCR reason when the cause is known."""
class PageRegionTexts:
"""Extracted text for one page's regions."""
@@ -52,6 +66,32 @@ class PageRegionTexts:
"""0-indexed page number."""
regions: list[RegionText]
class PageMarkdown:
"""Per-page markdown extraction result."""
page: int
"""0-indexed page number."""
markdown: str
"""Formatted markdown for this page (empty string when needs_ocr is True)."""
needs_ocr: bool
"""True when text on this page is unreliable and OCR should be used instead."""
ocr_reason: Optional[str]
"""Machine-readable OCR reason when the cause is known."""
class PagesExtractionResult:
"""Per-page markdown output with document-wide layout classification."""
pages: list[PageMarkdown]
"""Per-page markdown results, in the order requested."""
pages_with_tables: list[int]
"""1-indexed pages where tables were detected."""
pages_with_columns: list[int]
"""1-indexed pages where multi-column layout was detected."""
pages_needing_ocr: list[int]
"""1-indexed pages that need OCR."""
ocr_reasons_by_page: list[PageOcrReasons]
"""Machine-readable OCR reasons by 1-indexed page."""
is_complex: bool
"""True if any page has tables or multi-column layout."""
def process_pdf(path: str, pages: Optional[list[int]] = None) -> PdfResult:
"""Process a PDF: detect type, extract text, convert to Markdown."""
...
@@ -115,3 +155,31 @@ def extract_text_in_regions_bytes(
page_regions: List of (page_0indexed, [[x1, y1, x2, y2], ...]) tuples.
"""
...
def extract_pages_markdown(
path: str,
pages: Optional[list[int]] = None,
) -> PagesExtractionResult:
"""Extract formatted markdown for pages of a PDF, with layout classification.
Args:
path: Path to the PDF file.
pages: Optional list of 0-indexed pages. When ``None`` (default), every
page is returned in document order. Otherwise, output matches the
caller-supplied order.
Returns:
PagesExtractionResult with per-page markdown and document-wide layout
classification (tables, columns, OCR needs).
"""
...
def extract_pages_markdown_bytes(
data: bytes,
pages: Optional[list[int]] = None,
) -> PagesExtractionResult:
"""Extract formatted markdown for pages of a PDF from bytes.
See :func:`extract_pages_markdown` for details.
"""
...
+9 -1
View File
@@ -4,8 +4,11 @@ build-backend = "maturin"
[project]
name = "pdf-inspector"
version = "0.1.0"
# Bump this to publish to PyPI — CI publishes automatically when the version
# changes on main (same flow as napi/package.json for npm).
version = "0.2.6"
description = "Fast PDF inspection, classification, and text extraction with smart scanned vs text-based detection"
readme = "docs/python.md"
license = { text = "MIT" }
requires-python = ">=3.8"
classifiers = [
@@ -17,5 +20,10 @@ classifiers = [
"Topic :: Text Processing",
]
[project.urls]
Homepage = "https://github.com/firecrawl/pdf-inspector"
Repository = "https://github.com/firecrawl/pdf-inspector"
Documentation = "https://github.com/firecrawl/pdf-inspector/blob/main/docs/python.md"
[tool.maturin]
features = ["python"]
+351
View File
@@ -0,0 +1,351 @@
#!/usr/bin/env python3
"""Run a paired pdf-inspector OpenDataLoader benchmark and report deltas."""
from __future__ import annotations
import argparse
import json
import math
import os
import shutil
import subprocess
import sys
import tempfile
from pathlib import Path
from typing import Any
SCORE_KEYS = (
"overall_mean",
"nid_mean",
"nid_s_mean",
"teds_mean",
"teds_s_mean",
"mhs_mean",
"mhs_s_mean",
)
def _non_negative_int(value: str) -> int:
parsed = int(value)
if parsed < 0:
raise argparse.ArgumentTypeError("must be non-negative")
return parsed
def _non_negative_float(value: str) -> float:
parsed = float(value)
if not math.isfinite(parsed) or parsed < 0.0:
raise argparse.ArgumentTypeError("must be finite and non-negative")
return parsed
def _finite_float(value: str) -> float:
parsed = float(value)
if not math.isfinite(parsed):
raise argparse.ArgumentTypeError("must be finite")
return parsed
def _scores(evaluation: dict[str, Any]) -> dict[str, float]:
score = evaluation.get("metrics", {}).get("score", {})
return {key: float(score[key]) for key in SCORE_KEYS if score.get(key) is not None}
def _documents(evaluation: dict[str, Any]) -> dict[str, float]:
documents: dict[str, float] = {}
for document in evaluation.get("documents", []):
overall = document.get("scores", {}).get("overall")
if overall is not None:
documents[str(document["document_id"])] = float(overall)
return documents
def compare_evaluations(
baseline: dict[str, Any],
candidate: dict[str, Any],
reference: dict[str, Any] | None = None,
*,
top: int = 10,
) -> dict[str, Any]:
"""Build aggregate and per-document deltas from evaluator JSON payloads."""
baseline_scores = _scores(baseline)
candidate_scores = _scores(candidate)
metric_deltas = {
key: candidate_scores[key] - baseline_scores[key]
for key in SCORE_KEYS
if key in baseline_scores and key in candidate_scores
}
baseline_documents = _documents(baseline)
candidate_documents = _documents(candidate)
shared = sorted(baseline_documents.keys() & candidate_documents.keys())
document_deltas = [
{
"document_id": document_id,
"baseline": baseline_documents[document_id],
"candidate": candidate_documents[document_id],
"delta": candidate_documents[document_id] - baseline_documents[document_id],
}
for document_id in shared
]
epsilon = 1e-12
improvements = sorted(document_deltas, key=lambda item: item["delta"], reverse=True)
regressions = sorted(document_deltas, key=lambda item: item["delta"])
result: dict[str, Any] = {
"baseline": baseline_scores,
"candidate": candidate_scores,
"deltas": metric_deltas,
"missing_predictions": {
"baseline": int(baseline.get("metrics", {}).get("missing_predictions", 0)),
"candidate": int(candidate.get("metrics", {}).get("missing_predictions", 0)),
},
"documents": {
"shared": len(shared),
"improved": sum(item["delta"] > epsilon for item in document_deltas),
"regressed": sum(item["delta"] < -epsilon for item in document_deltas),
"unchanged": sum(abs(item["delta"]) <= epsilon for item in document_deltas),
"largest_improvements": [
item for item in improvements if item["delta"] > epsilon
][:top],
"largest_regressions": [
item for item in regressions if item["delta"] < -epsilon
][:top],
"worst_regression": next(
(item for item in regressions if item["delta"] < -epsilon), None
),
},
}
if reference is not None:
reference_scores = _scores(reference)
result["reference"] = reference_scores
result["candidate_vs_reference"] = {
key: candidate_scores[key] - reference_scores[key]
for key in SCORE_KEYS
if key in candidate_scores and key in reference_scores
}
return result
def evaluate_gates(
comparison: dict[str, Any],
*,
min_overall_delta: float,
max_document_regression: float | None,
max_missing: int,
require_reference_lead: bool,
) -> list[str]:
"""Return human-readable gate failures; an empty list means pass."""
failures: list[str] = []
overall_delta = comparison["deltas"].get("overall_mean")
if overall_delta is None or overall_delta < min_overall_delta:
failures.append(
f"overall delta {overall_delta!r} is below {min_overall_delta:+.6f}"
)
candidate_missing = comparison["missing_predictions"]["candidate"]
if candidate_missing > max_missing:
failures.append(
f"candidate has {candidate_missing} missing predictions (maximum {max_missing})"
)
if max_document_regression is not None:
regression = comparison["documents"].get("worst_regression")
if regression is not None and regression["delta"] < -max_document_regression:
failures.append(
"largest document regression "
f"{regression['document_id']}={regression['delta']:+.6f} "
f"exceeds {-max_document_regression:+.6f}"
)
if require_reference_lead:
reference_delta = comparison.get("candidate_vs_reference", {}).get("overall_mean")
if reference_delta is None:
failures.append("reference overall score is unavailable")
elif reference_delta < 0.0:
failures.append(
f"candidate trails reference overall by {reference_delta!r}"
)
return failures
def _run(command: list[str], *, cwd: Path, env: dict[str, str] | None = None) -> None:
print("+", " ".join(command), flush=True)
subprocess.run(command, cwd=cwd, env=env, check=True)
def _run_engine(
*,
bench_dir: Path,
python: Path,
binary: Path,
label: str,
scratch_root: Path,
) -> dict[str, Any]:
env = os.environ.copy()
env["PDF_INSPECTOR_BINARY"] = str(binary)
source = bench_dir / "prediction" / "pdf-inspector"
if source.exists():
if source.is_dir():
shutil.rmtree(source)
else:
source.unlink()
_run(
[
str(python),
"src/pdf_parser.py",
"--engine",
"pdf-inspector",
"--log-level",
"WARNING",
],
cwd=bench_dir,
env=env,
)
if not source.is_dir():
raise RuntimeError(f"parser did not produce predictions: {source}")
destination = scratch_root / label
shutil.copytree(source, destination)
_run(
[
str(python),
"src/evaluator.py",
"--prediction-root",
str(scratch_root),
"--engine",
label,
"--log-level",
"WARNING",
],
cwd=bench_dir,
)
with (destination / "evaluation.json").open(encoding="utf-8") as handle:
return json.load(handle)
def _print_report(comparison: dict[str, Any]) -> None:
print("\nMetric baseline candidate delta")
print("-------------------- ---------- ---------- ----------")
for key in SCORE_KEYS:
if key not in comparison["deltas"]:
continue
print(
f"{key:<20} {comparison['baseline'][key]:>10.6f} "
f"{comparison['candidate'][key]:>10.6f} "
f"{comparison['deltas'][key]:>+10.6f}"
)
if "reference" in comparison:
delta = comparison["candidate_vs_reference"].get("overall_mean")
reference = comparison["reference"].get("overall_mean")
reference_display = f"{reference:.6f}" if reference is not None else "n/a"
delta_display = f"{delta:+.6f}" if delta is not None else "n/a"
print(f"\nReference overall: {reference_display}; candidate delta: {delta_display}")
documents = comparison["documents"]
print(
"\nDocuments: "
f"{documents['improved']} improved, {documents['regressed']} regressed, "
f"{documents['unchanged']} unchanged ({documents['shared']} shared)"
)
for heading, key in (
("Largest improvements", "largest_improvements"),
("Largest regressions", "largest_regressions"),
):
print(f"\n{heading}:")
rows = documents[key]
if not rows:
print(" none")
for row in rows:
print(
f" {row['document_id']}: {row['delta']:+.6f} "
f"({row['baseline']:.6f} -> {row['candidate']:.6f})"
)
def _arguments(argv: list[str] | None = None) -> argparse.Namespace:
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument("--bench-dir", type=Path, required=True)
parser.add_argument("--baseline", type=Path, required=True)
parser.add_argument("--candidate", type=Path, required=True)
parser.add_argument("--python", type=Path)
parser.add_argument("--reference-evaluation", type=Path)
parser.add_argument("--json-output", type=Path)
parser.add_argument("--top", type=_non_negative_int, default=10)
parser.add_argument("--min-overall-delta", type=_finite_float, default=0.0)
parser.add_argument("--max-document-regression", type=_non_negative_float)
parser.add_argument("--max-missing", type=_non_negative_int, default=0)
parser.add_argument("--require-reference-lead", action="store_true")
return parser.parse_args(argv)
def main(argv: list[str] | None = None) -> int:
args = _arguments(argv)
bench_dir = args.bench_dir.resolve()
baseline = args.baseline.resolve()
candidate = args.candidate.resolve()
# Keep the virtualenv launcher path intact. Resolving its symlink would
# invoke the underlying system interpreter without the benchmark's site
# packages.
python = (args.python or bench_dir / ".venv" / "bin" / "python").absolute()
for path, description in (
(bench_dir / "src" / "pdf_parser.py", "OpenDataLoader parser"),
(bench_dir / "src" / "evaluator.py", "OpenDataLoader evaluator"),
(baseline, "baseline binary"),
(candidate, "candidate binary"),
(python, "Python interpreter"),
):
if not path.exists():
raise SystemExit(f"{description} not found: {path}")
with tempfile.TemporaryDirectory(prefix="pdf-inspector-opendataloader-") as temporary:
scratch_root = Path(temporary)
baseline_evaluation = _run_engine(
bench_dir=bench_dir,
python=python,
binary=baseline,
label="baseline",
scratch_root=scratch_root,
)
candidate_evaluation = _run_engine(
bench_dir=bench_dir,
python=python,
binary=candidate,
label="candidate",
scratch_root=scratch_root,
)
reference = None
if args.reference_evaluation is not None:
with args.reference_evaluation.resolve().open(encoding="utf-8") as handle:
reference = json.load(handle)
comparison = compare_evaluations(
baseline_evaluation,
candidate_evaluation,
reference,
top=args.top,
)
_print_report(comparison)
if args.json_output is not None:
args.json_output.resolve().write_text(
json.dumps(comparison, indent=2) + "\n", encoding="utf-8"
)
failures = evaluate_gates(
comparison,
min_overall_delta=args.min_overall_delta,
max_document_regression=args.max_document_regression,
max_missing=args.max_missing,
require_reference_lead=args.require_reference_lead,
)
if failures:
print("\nBenchmark gate failed:", file=sys.stderr)
for failure in failures:
print(f" - {failure}", file=sys.stderr)
return 1
print("\nBenchmark gate passed.")
return 0
if __name__ == "__main__":
raise SystemExit(main())
+351
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#!/usr/bin/env python3
"""Compare pdf-inspector evidence with optional MuPDF structured text.
This is an experiment and diagnostic tool, not an extraction fallback. It runs
MuPDF's deterministic ``stext.json`` backend without OCR and highlights pages
where that backend exposes materially different text or layout evidence.
"""
from __future__ import annotations
import argparse
from collections import Counter
import json
from pathlib import Path
import re
import shutil
import subprocess
import sys
from typing import Any, Iterable
TOKEN_PATTERN = re.compile(r"[^\W_]+(?:[\u2019'][^\W_]+)*", re.UNICODE)
def _tokens(texts: Iterable[str]) -> Counter[str]:
tokens: Counter[str] = Counter()
for text in texts:
for token in TOKEN_PATTERN.findall(text.casefold()):
# Lone letters are frequently bullets, chart labels, or fragmented
# glyphs. Digits remain useful even when they are one character.
if len(token) > 1 or token.isdigit():
tokens[token] += 1
return tokens
def _repeated_x_anchors(xs: Iterable[float], *, tolerance: float = 4.0) -> int:
buckets = Counter(round(float(x) / tolerance) for x in xs)
return sum(count >= 3 for count in buckets.values())
def local_pages(payload: dict[str, Any]) -> dict[int, dict[str, Any]]:
"""Summarize positioned ``pdf2md --items-json`` evidence by page."""
pages: dict[int, dict[str, Any]] = {}
for item in payload.get("items", []):
page_number = int(item["page"])
page = pages.setdefault(
page_number,
{"texts": [], "xs": [], "text_items": 0, "image_items": 0},
)
if item.get("item_type") == "image":
page["image_items"] += 1
continue
text = str(item.get("text", ""))
if text.strip():
page["texts"].append(text)
page["xs"].append(float(item.get("x", 0.0)))
page["text_items"] += 1
return pages
def alternate_pages(
payload: dict[str, Any] | list[dict[str, Any]],
) -> dict[int, dict[str, Any]]:
"""Summarize MuPDF ``stext.json`` evidence by page."""
pages: dict[int, dict[str, Any]] = {}
raw_pages = payload if isinstance(payload, list) else payload.get("pages", [])
for index, raw_page in enumerate(raw_pages, start=1):
page_number = int(raw_page.get("number", index))
page = {
"texts": [],
"xs": [],
"text_blocks": 0,
"text_lines": 0,
"image_blocks": 0,
}
for block in raw_page.get("blocks", []):
if block.get("type") == "image":
page["image_blocks"] += 1
continue
if block.get("type") != "text":
continue
page["text_blocks"] += 1
for line in block.get("lines", []):
text = str(line.get("text", ""))
if text.strip():
page["texts"].append(text)
bbox = line.get("bbox", {})
page["xs"].append(float(bbox.get("x", line.get("x", 0.0))))
page["text_lines"] += 1
pages[page_number] = page
return pages
def compare_page(
local: dict[str, Any],
alternate: dict[str, Any],
*,
min_token_gain: int,
min_alternate_only_ratio: float,
min_anchor_gain: int,
) -> dict[str, Any]:
"""Compare semantic and coarse layout evidence for one page."""
local_tokens = _tokens(local.get("texts", []))
alternate_tokens = _tokens(alternate.get("texts", []))
shared = local_tokens & alternate_tokens
alternate_only = alternate_tokens - local_tokens
local_only = local_tokens - alternate_tokens
local_total = sum(local_tokens.values())
alternate_total = sum(alternate_tokens.values())
shared_total = sum(shared.values())
alternate_only_total = sum(alternate_only.values())
local_only_total = sum(local_only.values())
net_token_gain = alternate_total - local_total
alternate_only_ratio = alternate_only_total / max(alternate_total, 1)
local_anchors = _repeated_x_anchors(local.get("xs", []))
alternate_anchors = _repeated_x_anchors(alternate.get("xs", []))
anchor_gain = alternate_anchors - local_anchors
image_gain = int(alternate.get("image_blocks", 0)) - int(
local.get("image_items", 0)
)
reasons: list[str] = []
if local_total == 0 and alternate_total >= max(5, min_token_gain // 2):
reasons.append("local_text_empty")
elif (
net_token_gain >= min_token_gain
and alternate_only_ratio >= min_alternate_only_ratio
):
reasons.append("alternate_has_more_text")
if anchor_gain >= min_anchor_gain:
reasons.append("alternate_has_more_alignment_anchors")
if image_gain > 0:
reasons.append("alternate_has_more_image_blocks")
if reasons:
classification = "investigate_alternate_evidence"
elif local_total - alternate_total >= min_token_gain:
classification = "local_has_more_text"
elif alternate_only_total + local_only_total:
classification = "different_segmentation_or_decoding"
else:
classification = "equivalent_text_evidence"
return {
"classification": classification,
"reasons": reasons,
"tokens": {
"local": local_total,
"alternate": alternate_total,
"shared": shared_total,
"net_alternate_gain": net_token_gain,
"alternate_only": alternate_only_total,
"local_only": local_only_total,
"alternate_only_ratio": alternate_only_ratio,
"alternate_only_sample": sorted(alternate_only)[:12],
"local_only_sample": sorted(local_only)[:12],
},
"layout": {
"local_text_items": int(local.get("text_items", 0)),
"local_image_items": int(local.get("image_items", 0)),
"local_repeated_x_anchors": local_anchors,
"alternate_text_blocks": int(alternate.get("text_blocks", 0)),
"alternate_text_lines": int(alternate.get("text_lines", 0)),
"alternate_image_blocks": int(alternate.get("image_blocks", 0)),
"alternate_repeated_x_anchors": alternate_anchors,
},
}
def compare_documents(
local_payload: dict[str, Any],
alternate_payload: dict[str, Any] | list[dict[str, Any]],
*,
min_token_gain: int = 20,
min_alternate_only_ratio: float = 0.15,
min_anchor_gain: int = 2,
) -> dict[str, Any]:
"""Return a page-level evidence report for already extracted payloads."""
local = local_pages(local_payload)
alternate = alternate_pages(alternate_payload)
page_numbers = sorted(local.keys() | alternate.keys())
pages = []
for page_number in page_numbers:
result = compare_page(
local.get(page_number, {}),
alternate.get(page_number, {}),
min_token_gain=min_token_gain,
min_alternate_only_ratio=min_alternate_only_ratio,
min_anchor_gain=min_anchor_gain,
)
result["page"] = page_number
pages.append(result)
flagged = [
page
for page in pages
if page["classification"] == "investigate_alternate_evidence"
]
return {
"summary": {
"pages": len(pages),
"flagged_pages": len(flagged),
"flagged_page_numbers": [page["page"] for page in flagged],
"local_tokens": sum(page["tokens"]["local"] for page in pages),
"alternate_tokens": sum(page["tokens"]["alternate"] for page in pages),
"alternate_only_tokens": sum(
page["tokens"]["alternate_only"] for page in pages
),
},
"pages": pages,
}
def _json_command(command: list[str]) -> Any:
try:
completed = subprocess.run(
command,
check=True,
stdout=subprocess.PIPE,
stderr=subprocess.PIPE,
text=True,
)
except subprocess.CalledProcessError as error:
detail = error.stderr.strip() or error.stdout.strip() or "no diagnostic output"
raise RuntimeError(f"command failed: {' '.join(command)}\n{detail}") from error
try:
return json.loads(completed.stdout)
except json.JSONDecodeError as error:
raise RuntimeError(
f"command did not return JSON: {' '.join(command)}: {error}"
) from error
def probe_pdf(
pdf: Path,
*,
pdf2md: Path,
mutool: Path,
min_token_gain: int,
min_alternate_only_ratio: float,
min_anchor_gain: int,
) -> dict[str, Any]:
local_payload = _json_command([str(pdf2md), str(pdf), "--items-json"])
# `stext.json` is MuPDF's native structured text output. The OCR formats
# are intentionally not used so this remains a deterministic no-model
# comparison.
alternate_payload = _json_command(
[str(mutool), "draw", "-q", "-F", "stext.json", "-o", "-", str(pdf)]
)
report = compare_documents(
local_payload,
alternate_payload,
min_token_gain=min_token_gain,
min_alternate_only_ratio=min_alternate_only_ratio,
min_anchor_gain=min_anchor_gain,
)
report["pdf"] = str(pdf)
return report
def _arguments(argv: list[str] | None = None) -> argparse.Namespace:
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument("pdf", type=Path, nargs="+")
parser.add_argument("--pdf2md", type=Path, default=Path("target/release/pdf2md"))
parser.add_argument("--mutool", type=Path)
parser.add_argument("--json-output", type=Path)
parser.add_argument("--min-token-gain", type=int, default=20)
parser.add_argument("--min-alternate-only-ratio", type=float, default=0.15)
parser.add_argument("--min-anchor-gain", type=int, default=2)
return parser.parse_args(argv)
def _print_report(result: dict[str, Any]) -> None:
summary = result["summary"]
print(f"\n{result['pdf']}")
print(
f" {summary['flagged_pages']}/{summary['pages']} pages flagged; "
f"tokens local={summary['local_tokens']} alternate={summary['alternate_tokens']} "
f"alternate-only={summary['alternate_only_tokens']}"
)
for page in result["pages"]:
if page["classification"] != "investigate_alternate_evidence":
continue
reasons = ", ".join(page["reasons"])
tokens = page["tokens"]
print(
f" page {page['page']}: {reasons}; "
f"net tokens={tokens['net_alternate_gain']:+d}, "
f"alternate-only={tokens['alternate_only']}"
)
def main(argv: list[str] | None = None) -> int:
args = _arguments(argv)
pdf2md = args.pdf2md.absolute()
mutool = args.mutool or (Path(found) if (found := shutil.which("mutool")) else None)
if not pdf2md.is_file():
print(f"error: pdf2md binary not found: {pdf2md}", file=sys.stderr)
return 2
if mutool is None or not mutool.is_file():
print("error: mutool not found; install MuPDF or pass --mutool", file=sys.stderr)
return 2
if (
args.min_token_gain < 0
or args.min_anchor_gain < 0
or not 0.0 <= args.min_alternate_only_ratio <= 1.0
):
print("error: thresholds must be non-negative and ratio must be in [0, 1]", file=sys.stderr)
return 2
results = []
for pdf in args.pdf:
path = pdf.absolute()
if not path.is_file():
print(f"error: PDF not found: {path}", file=sys.stderr)
return 2
try:
result = probe_pdf(
path,
pdf2md=pdf2md,
mutool=mutool,
min_token_gain=args.min_token_gain,
min_alternate_only_ratio=args.min_alternate_only_ratio,
min_anchor_gain=args.min_anchor_gain,
)
except RuntimeError as error:
print(f"error: {error}", file=sys.stderr)
return 1
results.append(result)
_print_report(result)
payload = {
"schema_version": 1,
"experiment": "optional_mupdf_stext_evidence",
"ocr": False,
"thresholds": {
"min_token_gain": args.min_token_gain,
"min_alternate_only_ratio": args.min_alternate_only_ratio,
"min_anchor_gain": args.min_anchor_gain,
},
"documents": results,
}
if args.json_output:
args.json_output.parent.mkdir(parents=True, exist_ok=True)
args.json_output.write_text(json.dumps(payload, indent=2) + "\n", encoding="utf-8")
return 0
if __name__ == "__main__":
raise SystemExit(main())
+203
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@@ -0,0 +1,203 @@
import io
import json
import sys
import tempfile
import unittest
from contextlib import redirect_stderr, redirect_stdout
from pathlib import Path
from unittest.mock import patch
sys.path.insert(0, str(Path(__file__).resolve().parents[1]))
from bench_opendataloader import (
_arguments,
_print_report,
_run_engine,
compare_evaluations,
evaluate_gates,
)
def evaluation(overall, documents, *, missing=0):
return {
"metrics": {
"score": {
"overall_mean": overall,
"nid_mean": overall + 0.01,
},
"missing_predictions": missing,
},
"documents": [
{
"document_id": document_id,
"scores": {"overall": score},
}
for document_id, score in documents.items()
],
}
class ComparisonTests(unittest.TestCase):
def test_reports_metric_and_document_deltas(self):
baseline = evaluation(0.80, {"a": 0.8, "b": 0.6, "c": 0.7})
candidate = evaluation(0.82, {"a": 0.9, "b": 0.5, "c": 0.7})
result = compare_evaluations(baseline, candidate, top=1)
self.assertAlmostEqual(result["deltas"]["overall_mean"], 0.02)
self.assertEqual(result["documents"]["improved"], 1)
self.assertEqual(result["documents"]["regressed"], 1)
self.assertEqual(result["documents"]["unchanged"], 1)
self.assertEqual(
result["documents"]["largest_improvements"][0]["document_id"], "a"
)
self.assertEqual(
result["documents"]["largest_regressions"][0]["document_id"], "b"
)
def test_reference_delta_is_reported(self):
baseline = evaluation(0.80, {})
candidate = evaluation(0.82, {})
reference = evaluation(0.81, {})
result = compare_evaluations(baseline, candidate, reference)
self.assertAlmostEqual(
result["candidate_vs_reference"]["overall_mean"], 0.01
)
def test_gates_cover_aggregate_document_missing_and_reference(self):
comparison = compare_evaluations(
evaluation(0.80, {"a": 0.8}),
evaluation(0.79, {"a": 0.7}, missing=1),
evaluation(0.81, {}),
)
failures = evaluate_gates(
comparison,
min_overall_delta=0.0,
max_document_regression=0.05,
max_missing=0,
require_reference_lead=True,
)
self.assertEqual(len(failures), 4)
def test_regression_gate_is_independent_of_report_limit(self):
comparison = compare_evaluations(
evaluation(0.80, {"a": 0.8}),
evaluation(0.80, {"a": 0.7}),
top=0,
)
failures = evaluate_gates(
comparison,
min_overall_delta=0.0,
max_document_regression=0.05,
max_missing=0,
require_reference_lead=False,
)
self.assertEqual(len(failures), 1)
self.assertIn("largest document regression", failures[0])
def test_report_handles_reference_without_overall_score(self):
result = compare_evaluations(
evaluation(0.80, {}),
evaluation(0.82, {}),
{"metrics": {"score": {"nid_mean": 0.81}}},
)
output = io.StringIO()
with redirect_stdout(output):
_print_report(result)
self.assertIn("Reference overall: n/a; candidate delta: n/a", output.getvalue())
def test_reference_gate_reports_missing_score_as_unavailable(self):
comparison = compare_evaluations(
evaluation(0.80, {}),
evaluation(0.82, {}),
)
failures = evaluate_gates(
comparison,
min_overall_delta=0.0,
max_document_regression=None,
max_missing=0,
require_reference_lead=True,
)
self.assertEqual(failures, ["reference overall score is unavailable"])
def test_arguments_reject_negative_counts_and_allow_zero_top(self):
required = [
"--bench-dir",
".",
"--baseline",
"baseline",
"--candidate",
"candidate",
]
self.assertEqual(_arguments(required + ["--top", "0"]).top, 0)
for option in ("--top", "--max-document-regression", "--max-missing"):
with self.subTest(option=option), redirect_stderr(io.StringIO()):
with self.assertRaises(SystemExit):
_arguments(required + [option, "-1"])
def test_arguments_reject_nonfinite_float_thresholds(self):
required = [
"--bench-dir",
".",
"--baseline",
"baseline",
"--candidate",
"candidate",
]
for option in ("--min-overall-delta", "--max-document-regression"):
for value in ("nan", "inf", "-inf"):
with self.subTest(option=option, value=value), redirect_stderr(
io.StringIO()
):
with self.assertRaises(SystemExit):
_arguments(required + [option, value])
def test_run_engine_clears_stale_predictions_before_parser(self):
with tempfile.TemporaryDirectory() as temporary:
root = Path(temporary)
bench_dir = root / "bench"
source = bench_dir / "prediction" / "pdf-inspector"
source.mkdir(parents=True)
(source / "stale.md").write_text("stale", encoding="utf-8")
scratch = root / "scratch"
scratch.mkdir()
def fake_run(command, *, cwd, env=None):
if any(part.endswith("pdf_parser.py") for part in command):
self.assertFalse(source.exists())
(source / "markdown").mkdir(parents=True)
(source / "markdown" / "new.md").write_text(
"new", encoding="utf-8"
)
else:
destination = scratch / "candidate"
(destination / "evaluation.json").write_text(
json.dumps(evaluation(0.82, {})), encoding="utf-8"
)
with patch("bench_opendataloader._run", side_effect=fake_run):
result = _run_engine(
bench_dir=bench_dir,
python=Path("python"),
binary=Path("pdf2md"),
label="candidate",
scratch_root=scratch,
)
self.assertEqual(result["metrics"]["score"]["overall_mean"], 0.82)
self.assertFalse((source / "stale.md").exists())
self.assertFalse((scratch / "candidate" / "stale.md").exists())
if __name__ == "__main__":
unittest.main()
@@ -0,0 +1,103 @@
import sys
import unittest
from pathlib import Path
sys.path.insert(0, str(Path(__file__).resolve().parents[1]))
from probe_backend_evidence import compare_documents
def local_payload(items):
return {"items": items}
def item(page, text, x=10, item_type="text"):
return {"page": page, "text": text, "x": x, "item_type": item_type}
def alternate_payload(pages):
return {"pages": pages}
def page(lines, *, images=0):
blocks = [
{
"type": "text",
"lines": [
{"text": text, "bbox": {"x": x, "y": index * 10, "w": 80, "h": 8}}
for index, (text, x) in enumerate(lines)
],
}
]
blocks.extend({"type": "image"} for _ in range(images))
return {"blocks": blocks}
class EvidenceComparisonTests(unittest.TestCase):
def test_accepts_real_top_level_page_array(self):
local = local_payload([item(1, "alpha beta")])
alternate = [page([("alpha beta gamma", 10)])]
result = compare_documents(local, alternate)["pages"][0]
self.assertEqual(result["tokens"]["alternate"], 3)
self.assertEqual(result["tokens"]["net_alternate_gain"], 1)
def test_flags_material_alternate_text_gain(self):
local = local_payload([item(1, "alpha beta")])
alternate = alternate_payload(
[page([("alpha beta gamma delta epsilon zeta", 10)])]
)
report = compare_documents(
local,
alternate,
min_token_gain=3,
min_alternate_only_ratio=0.2,
)
result = report["pages"][0]
self.assertEqual(result["classification"], "investigate_alternate_evidence")
self.assertIn("alternate_has_more_text", result["reasons"])
self.assertEqual(result["tokens"]["net_alternate_gain"], 4)
def test_repeated_alignment_and_image_evidence_are_reported(self):
local = local_payload([item(1, "one two", 10)])
alternate = alternate_payload(
[
page(
[
("one two", 10),
("row three", 100),
("row four", 100),
("row five", 100),
],
images=1,
)
]
)
result = compare_documents(
local,
alternate,
min_token_gain=99,
min_anchor_gain=1,
)["pages"][0]
self.assertIn("alternate_has_more_alignment_anchors", result["reasons"])
self.assertIn("alternate_has_more_image_blocks", result["reasons"])
self.assertEqual(result["layout"]["alternate_repeated_x_anchors"], 1)
def test_token_segmentation_difference_does_not_imply_more_evidence(self):
local = local_payload([item(1, "Revenue 2025")])
alternate = alternate_payload([page([("Revenue 2024", 10)])])
result = compare_documents(local, alternate, min_token_gain=2)["pages"][0]
self.assertEqual(result["classification"], "different_segmentation_or_decoding")
self.assertEqual(result["reasons"], [])
self.assertEqual(result["tokens"]["alternate_only_sample"], ["2024"])
if __name__ == "__main__":
unittest.main()
+3
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@@ -0,0 +1,3 @@
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+1172
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+77 -13
View File
@@ -1,12 +1,47 @@
//! CLI tool for detecting PDF type (text-based vs scanned)
use pdf_inspector::{detect_pdf_type, process_pdf_with_options, PdfOptions, PdfType, ProcessMode};
use pdf_inspector::{
detect_pdf_type, detector::estimate_page_count_from_bytes, process_pdf_with_options,
PdfOptions, PdfType, ProcessMode,
};
use std::env;
use std::fmt::Write;
use std::fs;
use std::process;
use std::time::Instant;
/// Escape a string for embedding in a JSON string value.
fn format_detector_ocr_reasons(reasons: &std::collections::BTreeMap<u32, Vec<String>>) -> String {
reasons
.iter()
.map(|(page, page_reasons)| {
let reasons_json = page_reasons
.iter()
.map(|reason| format!(r#""{}""#, json_escape(reason)))
.collect::<Vec<_>>()
.join(",");
format!(r#"{{"page":{},"reasons":[{}]}}"#, page, reasons_json)
})
.collect::<Vec<_>>()
.join(",")
}
fn format_ocr_reasons_by_page(reasons: &[pdf_inspector::PageOcrReasons]) -> String {
reasons
.iter()
.map(|entry| {
let reasons_json = entry
.reasons
.iter()
.map(|reason| format!(r#""{}""#, json_escape(reason)))
.collect::<Vec<_>>()
.join(",");
format!(r#"{{"page":{},"reasons":[{}]}}"#, entry.page, reasons_json)
})
.collect::<Vec<_>>()
.join(",")
}
fn json_escape(s: &str) -> String {
let mut out = String::with_capacity(s.len() + 16);
for ch in s.chars() {
@@ -28,6 +63,7 @@ fn json_escape(s: &str) -> String {
}
fn main() {
#[cfg(not(target_arch = "wasm32"))]
env_logger::init();
let args: Vec<String> = env::args().collect();
@@ -64,6 +100,32 @@ fn pdf_type_str(pdf_type: &PdfType) -> &'static str {
}
}
fn page_count_hint(pdf_path: &str) -> Option<u32> {
fs::read(pdf_path)
.ok()
.map(|bytes| estimate_page_count_from_bytes(&bytes))
.filter(|&count| count > 0)
}
fn print_error(e: &pdf_inspector::PdfError, pdf_path: &str, json_output: bool) {
if json_output {
if let Some(count) = page_count_hint(pdf_path) {
println!(
r#"{{"error":"{}","page_count_hint":{}}}"#,
json_escape(&e.to_string()),
count
);
} else {
println!(r#"{{"error":"{}"}}"#, json_escape(&e.to_string()));
}
} else {
eprintln!("Error: {}", e);
if let Some(count) = page_count_hint(pdf_path) {
eprintln!("Page count hint: {}", count);
}
}
}
fn run_analyze(pdf_path: &str, json_output: bool, start: Instant) {
match process_pdf_with_options(pdf_path, PdfOptions::new().mode(ProcessMode::Analyze)) {
Ok(result) => {
@@ -87,11 +149,13 @@ fn run_analyze(pdf_path: &str, json_output: bool, start: Instant) {
.iter()
.map(|p| p.to_string())
.collect();
let ocr_reasons = format_ocr_reasons_by_page(&result.ocr_reasons_by_page);
println!(
r#"{{"pdf_type":"{}","page_count":{},"pages_needing_ocr":[{}],"is_complex":{},"pages_with_tables":[{}],"pages_with_columns":[{}],"detection_time_ms":{}}}"#,
r#"{{"pdf_type":"{}","page_count":{},"pages_needing_ocr":[{}],"ocr_reasons_by_page":[{}],"is_complex":{},"pages_with_tables":[{}],"pages_with_columns":[{}],"detection_time_ms":{}}}"#,
pdf_type_str(&result.pdf_type),
result.page_count,
ocr_pages.join(","),
ocr_reasons,
result.layout.is_complex,
table_pages.join(","),
col_pages.join(","),
@@ -114,6 +178,9 @@ fn run_analyze(pdf_path: &str, json_output: bool, start: Instant) {
println!("Page count: {}", result.page_count);
if !result.pages_needing_ocr.is_empty() {
println!("Pages needing OCR: {:?}", result.pages_needing_ocr);
for entry in &result.ocr_reasons_by_page {
println!(" page {}: {}", entry.page, entry.reasons.join(", "));
}
}
println!();
if result.layout.is_complex {
@@ -135,11 +202,7 @@ fn run_analyze(pdf_path: &str, json_output: bool, start: Instant) {
}
}
Err(e) => {
if json_output {
println!(r#"{{"error":"{}"}}"#, e);
} else {
eprintln!("Error: {}", e);
}
print_error(&e, pdf_path, json_output);
process::exit(1);
}
}
@@ -158,8 +221,9 @@ fn run_detect_only(pdf_path: &str, json_output: bool, start: Instant) {
.iter()
.map(|p| p.to_string())
.collect();
let ocr_reasons = format_detector_ocr_reasons(&result.ocr_reasons_by_page);
println!(
r#"{{"pdf_type":"{}","page_count":{},"pages_sampled":{},"pages_with_text":{},"confidence":{:.2},"title":{},"ocr_recommended":{},"pages_needing_ocr":[{}],"detection_time_ms":{}}}"#,
r#"{{"pdf_type":"{}","page_count":{},"pages_sampled":{},"pages_with_text":{},"confidence":{:.2},"title":{},"ocr_recommended":{},"pages_needing_ocr":[{}],"ocr_reasons_by_page":[{}],"detection_time_ms":{}}}"#,
pdf_type_str(&result.pdf_type),
result.page_count,
result.pages_sampled,
@@ -172,6 +236,7 @@ fn run_detect_only(pdf_path: &str, json_output: bool, start: Instant) {
.unwrap_or_else(|| "null".to_string()),
result.ocr_recommended,
ocr_pages.join(","),
ocr_reasons,
elapsed.as_millis()
);
} else {
@@ -206,6 +271,9 @@ fn run_detect_only(pdf_path: &str, json_output: bool, start: Instant) {
result.pages_needing_ocr, result.page_count
);
}
for (page, reasons) in &result.ocr_reasons_by_page {
println!(" page {}: {}", page, reasons.join(", "));
}
}
if let Some(title) = &result.title {
println!("Title: {}", title);
@@ -236,11 +304,7 @@ fn run_detect_only(pdf_path: &str, json_output: bool, start: Instant) {
}
}
Err(e) => {
if json_output {
println!(r#"{{"error":"{}"}}"#, e);
} else {
eprintln!("Error: {}", e);
}
print_error(&e, pdf_path, json_output);
process::exit(1);
}
}
+176 -3
View File
@@ -1,6 +1,10 @@
//! CLI tool for PDF to Markdown conversion
use pdf_inspector::{process_pdf_with_options, LayoutComplexity, PdfOptions, PdfType, ProcessMode};
use pdf_inspector::extractor::ItemType;
use pdf_inspector::{
extract_text_with_positions_pages_with_password, process_pdf_with_options, LayoutComplexity,
PdfOptions, PdfType, ProcessMode, TextItem,
};
use std::collections::HashSet;
use std::env;
use std::fmt::Write;
@@ -31,6 +35,137 @@ fn json_escape(s: &str) -> String {
out
}
fn format_ocr_reasons_by_page(reasons: &[pdf_inspector::PageOcrReasons]) -> String {
reasons
.iter()
.map(|entry| {
let reasons_json = entry
.reasons
.iter()
.map(|reason| format!(r#""{}""#, json_escape(reason)))
.collect::<Vec<_>>()
.join(",");
format!(r#"{{"page":{},"reasons":[{}]}}"#, entry.page, reasons_json)
})
.collect::<Vec<_>>()
.join(",")
}
fn item_type_label(item_type: &ItemType) -> &'static str {
match item_type {
ItemType::Text => "text",
ItemType::Image => "image",
ItemType::Link(_) => "link",
ItemType::FormField => "form_field",
}
}
fn format_items_json(items: &[TextItem]) -> String {
let underlined_count = items.iter().filter(|item| item.is_underline).count();
let items_json = items
.iter()
.map(|item| {
let mcid = item
.mcid
.map(|value| value.to_string())
.unwrap_or_else(|| "null".to_string());
let link_url = match &item.item_type {
ItemType::Link(url) => format!(r#","url":"{}""#, json_escape(url)),
_ => String::new(),
};
format!(
r#"{{"text":"{}","page":{},"x":{:.2},"y":{:.2},"width":{:.2},"height":{:.2},"font":"{}","font_size":{:.2},"is_bold":{},"is_italic":{},"is_underline":{},"is_strikeout":{},"item_type":"{}","mcid":{}{}}}"#,
json_escape(&item.text),
item.page,
item.x,
item.y,
item.width,
item.height,
json_escape(&item.font),
item.font_size,
item.is_bold,
item.is_italic,
item.is_underline,
item.is_strikeout,
item_type_label(&item.item_type),
mcid,
link_url,
)
})
.collect::<Vec<_>>()
.join(",");
format!(
r#"{{"total_items":{},"underlined_count":{},"items":[{}]}}"#,
items.len(),
underlined_count,
items_json
)
}
fn extract_items_json(
pdf_path: &str,
page_filter: Option<&HashSet<u32>>,
password: Option<&str>,
) -> Result<String, pdf_inspector::PdfError> {
extract_text_with_positions_pages_with_password(pdf_path, page_filter, password)
.map(|items| format_items_json(&items))
}
#[cfg(test)]
mod tests {
use super::{extract_items_json, format_items_json};
use pdf_inspector::extractor::ItemType;
use pdf_inspector::TextItem;
#[test]
fn items_json_includes_position_and_underline_metadata() {
let items = vec![TextItem {
text: "A \"quoted\" item".to_string(),
x: 12.345,
y: 67.891,
width: 23.456,
height: 9.876,
font: "F1".to_string(),
font_size: 10.0,
page: 2,
is_bold: false,
is_italic: true,
is_underline: true,
is_strikeout: true,
item_type: ItemType::Text,
mcid: Some(7),
}];
let json = format_items_json(&items);
assert!(json.contains(r#""text":"A \"quoted\" item""#));
assert!(json.contains(r#""page":2"#));
assert!(json.contains(r#""x":12.35"#));
assert!(json.contains(r#""is_underline":true"#));
assert!(json.contains(r#""item_type":"text""#));
assert!(json.contains(r#""mcid":7"#));
}
#[test]
fn items_json_uses_supplied_pdf_password() {
let path = "tests/fixtures/encrypted-secret123.pdf";
let without_password = extract_items_json(path, None, None);
assert!(
without_password.is_err(),
"encrypted fixture unexpectedly extracted without a password"
);
let json = extract_items_json(path, None, Some("secret123"))
.expect("correct password should decrypt positioned text");
assert!(
json.contains("Procurement"),
"decrypted item JSON should contain fixture text, got {json}"
);
}
}
/// Parse a page specification like "1,3,5-10,20" into a HashSet of page numbers.
fn parse_page_spec(spec: &str) -> Result<HashSet<u32>, String> {
let mut pages = HashSet::new();
@@ -82,12 +217,14 @@ fn print_layout_info(layout: &LayoutComplexity) {
}
fn main() {
#[cfg(not(target_arch = "wasm32"))]
env_logger::init();
let args: Vec<String> = env::args().collect();
if args.len() < 2 {
eprintln!("Usage: {} <pdf_file> [output_file]", args[0]);
eprintln!(" {} <pdf_file> --json", args[0]);
eprintln!(" {} <pdf_file> --items-json", args[0]);
eprintln!(" {} <pdf_file> --raw", args[0]);
eprintln!();
eprintln!("Converts PDF to Markdown with smart type detection.");
@@ -95,9 +232,14 @@ fn main() {
eprintln!();
eprintln!("Options:");
eprintln!(" --json Output result as JSON");
eprintln!(" --items-json Output positioned TextItem JSON");
eprintln!(" --raw Output only markdown (no headers)");
eprintln!(
" --compact Collapse token-heavy source formatting such as dot leaders"
);
eprintln!(" --pages Insert page break markers (<!-- Page N -->)");
eprintln!(" --select-pages N Only process specified pages (e.g. 1,3,5-10)");
eprintln!(" --password PW Password for an encrypted PDF");
eprintln!(" --detect-only Only detect PDF type (no extraction)");
eprintln!(" --analyze Detect + extract + layout analysis (no markdown)");
process::exit(1);
@@ -105,11 +247,23 @@ fn main() {
let pdf_path = &args[1];
let json_output = args.iter().any(|a| a == "--json");
let items_json_output = args.iter().any(|a| a == "--items-json");
let raw_output = args.iter().any(|a| a == "--raw");
let compact_output = args.iter().any(|a| a == "--compact");
let page_numbers = args.iter().any(|a| a == "--pages");
let detect_only = args.iter().any(|a| a == "--detect-only");
let analyze = args.iter().any(|a| a == "--analyze");
// Parse --password value
let password = args.iter().position(|a| a == "--password").map(|i| {
args.get(i + 1)
.unwrap_or_else(|| {
eprintln!("Error: --password requires a value");
process::exit(1);
})
.clone()
});
// Parse --select-pages value
let page_filter = args
.iter()
@@ -129,6 +283,17 @@ fn main() {
})
});
if items_json_output {
match extract_items_json(pdf_path, page_filter.as_ref(), password.as_deref()) {
Ok(json) => println!("{}", json),
Err(e) => {
println!(r#"{{"error":"{}"}}"#, json_escape(&e.to_string()));
process::exit(1);
}
}
return;
}
let output_file = args
.get(2)
.filter(|a| !a.starts_with("--"))
@@ -143,10 +308,14 @@ fn main() {
};
let mut options = PdfOptions::new().mode(process_mode);
if compact_output {
options.markdown.profile = pdf_inspector::MarkdownProfile::Compact;
}
options.markdown.include_page_numbers = page_numbers;
if let Some(pages) = page_filter {
options.page_filter = Some(pages);
}
options.password = password;
match process_pdf_with_options(pdf_path, options) {
Ok(result) => {
@@ -177,12 +346,14 @@ fn main() {
.iter()
.map(|p| p.to_string())
.collect();
let ocr_reasons = format_ocr_reasons_by_page(&result.ocr_reasons_by_page);
println!(
r#"{{"pdf_type":"{}","page_count":{},"processing_time_ms":{},"pages_needing_ocr":[{}],"is_complex":{},"pages_with_tables":[{}],"pages_with_columns":[{}],"has_encoding_issues":{}}}"#,
r#"{{"pdf_type":"{}","page_count":{},"processing_time_ms":{},"pages_needing_ocr":[{}],"ocr_reasons_by_page":[{}],"is_complex":{},"pages_with_tables":[{}],"pages_with_columns":[{}],"has_encoding_issues":{}}}"#,
pdf_type_str,
result.page_count,
result.processing_time_ms,
ocr_pages.join(","),
ocr_reasons,
result.layout.is_complex,
table_pages.join(","),
col_pages.join(","),
@@ -223,8 +394,9 @@ fn main() {
.iter()
.map(|p| p.to_string())
.collect();
let ocr_reasons = format_ocr_reasons_by_page(&result.ocr_reasons_by_page);
println!(
r#"{{"pdf_type":"{}","page_count":{},"has_text":{},"processing_time_ms":{},"markdown_length":{},"pages_needing_ocr":[{}],"is_complex":{},"pages_with_tables":[{}],"pages_with_columns":[{}],"has_encoding_issues":{},"markdown":"{}"}}"#,
r#"{{"pdf_type":"{}","page_count":{},"has_text":{},"processing_time_ms":{},"markdown_length":{},"pages_needing_ocr":[{}],"ocr_reasons_by_page":[{}],"is_complex":{},"pages_with_tables":[{}],"pages_with_columns":[{}],"has_encoding_issues":{},"markdown":"{}"}}"#,
match result.pdf_type {
PdfType::TextBased => "text_based",
PdfType::Scanned => "scanned",
@@ -236,6 +408,7 @@ fn main() {
result.processing_time_ms,
result.markdown.as_ref().map(|m| m.len()).unwrap_or(0),
ocr_pages.join(","),
ocr_reasons,
result.layout.is_complex,
table_pages.join(","),
col_pages.join(","),
+2188 -118
View File
File diff suppressed because it is too large Load Diff
+649
View File
@@ -0,0 +1,649 @@
//! Built-in glyph metrics for the 14 standard PDF fonts.
//!
//! PDFs may omit `/Widths` for non-embedded base-14 fonts (Times, Helvetica,
//! Courier, Symbol, ZapfDingbats); per the PDF spec the reader must supply
//! the metrics. Without them every text item gets width 0, which breaks
//! space synthesis, sub/superscript detection, and table column detection
//! (common in 1990s dvips/Distiller output).
//!
//! Tables are generated from the Adobe Core 14 AFM files (via reportlab's
//! `_fontdata`), keyed by Unicode char, sorted for binary search.
//! Generator: scratchpad/gen_base14.py (session tooling, not checked in).
/// Width in 1000ths of an em for `c` in the given base-14 font, or `None`
/// if the font is not one of the base 14 (after name normalization) or the
/// char has no glyph in its AFM.
pub(crate) fn base14_char_width(base_font: &str, c: char) -> Option<u16> {
let table = base14_table(base_font)?;
// AFM tables key visible glyphs only; alias the invisible variants the
// cp1252 fallback can produce so they get the metric of their visible
// counterpart instead of the generic default.
let c = match c {
'\u{00A0}' => ' ', // no-break space -> space
'\u{00AD}' => '-', // soft hyphen -> hyphen
_ => c,
};
table
.binary_search_by_key(&c, |&(ch, _)| ch)
.ok()
.map(|i| table[i].1)
}
/// True when the base font name normalizes to one of the standard 14 fonts.
pub(crate) fn is_base14_font(base_font: &str) -> bool {
base14_table(base_font).is_some()
}
/// Code → Unicode through the font's BUILT-IN encoding, for the base-14
/// fonts whose repertoire is not Latin (Symbol, ZapfDingbats). Their glyphs
/// live at byte positions that have nothing to do with cp1252 (Symbol 0x61
/// renders α, Zapf 0x21 renders ✁), so advance widths must be resolved
/// through this mapping — the renderer draws these glyphs regardless of how
/// the text decoder transliterates them. Returns `None` for the Latin text
/// fonts, which follow standard single-byte encodings.
pub(crate) fn builtin_encoding_char(base_font: &str, code: u8) -> Option<char> {
let table = base14_table(base_font)?;
let enc: &[(u8, char)] = if std::ptr::eq(table, SYMBOL) {
SYMBOL_ENCODING
} else if std::ptr::eq(table, ZAPFDINGBATS) {
ZAPFDINGBATS_ENCODING
} else {
return None;
};
enc.binary_search_by_key(&code, |&(b, _)| b)
.ok()
.map(|i| enc[i].1)
}
/// Map a BaseFont name (possibly subset-prefixed, e.g. "ABCDEF+Times-Bold",
/// or a common alias like "Arial" / "TimesNewRomanPSMT") to its width table.
fn base14_table(base_font: &str) -> Option<&'static [(char, u16)]> {
// Strip subset prefix "ABCDEF+"
let name = match base_font.split_once('+') {
Some((prefix, rest))
if prefix.len() == 6 && prefix.chars().all(|c| c.is_ascii_uppercase()) =>
{
rest
}
_ => base_font,
};
let lower = name.to_ascii_lowercase();
let bold = lower.contains("bold");
let italic = lower.contains("italic") || lower.contains("oblique");
if lower.contains("courier") {
return Some(match (bold, italic) {
(false, false) => COURIER,
(true, false) => COURIER_BOLD,
(false, true) => COURIER_OBLIQUE,
(true, true) => COURIER_BOLDOBLIQUE,
});
}
if lower.contains("helvetica") || lower.contains("arial") {
return Some(match (bold, italic) {
(false, false) => HELVETICA,
(true, false) => HELVETICA_BOLD,
(false, true) => HELVETICA_OBLIQUE,
(true, true) => HELVETICA_BOLDOBLIQUE,
});
}
if lower.contains("times") {
return Some(match (bold, italic) {
(false, false) => TIMES_ROMAN,
(true, false) => TIMES_BOLD,
(false, true) => TIMES_ITALIC,
(true, true) => TIMES_BOLDITALIC,
});
}
// Symbol and ZapfDingbats have unique glyph repertoires, so only exact
// names (plus the common MT/ITC aliases) qualify — a custom font that
// merely mentions "Symbol" in its name must not get these metrics.
match lower.as_str() {
"zapfdingbats" | "dingbats" | "itczapfdingbats" | "zapfdingbatsitc" => {
return Some(ZAPFDINGBATS)
}
"symbol" | "symbolmt" | "symbolitc" => return Some(SYMBOL),
_ => {}
}
None
}
#[rustfmt::skip]
static COURIER: &[(char, u16)] = &[
(' ', 600), ('!', 600), ('"', 600), ('#', 600), ('$', 600), ('%', 600),
('&', 600), ('\'', 600), ('(', 600), (')', 600), ('*', 600), ('+', 600),
(',', 600), ('-', 600), ('.', 600), ('/', 600), ('0', 600), ('1', 600),
('2', 600), ('3', 600), ('4', 600), ('5', 600), ('6', 600), ('7', 600),
('8', 600), ('9', 600), (':', 600), (';', 600), ('<', 600), ('=', 600),
('>', 600), ('?', 600), ('@', 600), ('A', 600), ('B', 600), ('C', 600),
('D', 600), ('E', 600), ('F', 600), ('G', 600), ('H', 600), ('I', 600),
('J', 600), ('K', 600), ('L', 600), ('M', 600), ('N', 600), ('O', 600),
('P', 600), ('Q', 600), ('R', 600), ('S', 600), ('T', 600), ('U', 600),
('V', 600), ('W', 600), ('X', 600), ('Y', 600), ('Z', 600), ('[', 600),
('\\', 600), (']', 600), ('^', 600), ('_', 600), ('`', 600), ('a', 600),
('b', 600), ('c', 600), ('d', 600), ('e', 600), ('f', 600), ('g', 600),
('h', 600), ('i', 600), ('j', 600), ('k', 600), ('l', 600), ('m', 600),
('n', 600), ('o', 600), ('p', 600), ('q', 600), ('r', 600), ('s', 600),
('t', 600), ('u', 600), ('v', 600), ('w', 600), ('x', 600), ('y', 600),
('z', 600), ('{', 600), ('|', 600), ('}', 600), ('~', 600), ('\u{00A1}', 600),
('\u{00A2}', 600), ('\u{00A3}', 600), ('\u{00A4}', 600), ('\u{00A5}', 600), ('\u{00A6}', 600), ('\u{00A7}', 600),
('\u{00A8}', 600), ('\u{00A9}', 600), ('\u{00AA}', 600), ('\u{00AB}', 600), ('\u{00AC}', 600), ('\u{00AE}', 600),
('\u{00AF}', 600), ('\u{00B0}', 600), ('\u{00B1}', 600), ('\u{00B2}', 600), ('\u{00B3}', 600), ('\u{00B4}', 600),
('\u{00B5}', 600), ('\u{00B6}', 600), ('\u{00B7}', 600), ('\u{00B8}', 600), ('\u{00B9}', 600), ('\u{00BA}', 600),
('\u{00BB}', 600), ('\u{00BC}', 600), ('\u{00BD}', 600), ('\u{00BE}', 600), ('\u{00BF}', 600), ('\u{00C0}', 600),
('\u{00C1}', 600), ('\u{00C2}', 600), ('\u{00C3}', 600), ('\u{00C4}', 600), ('\u{00C5}', 600), ('\u{00C6}', 600),
('\u{00C7}', 600), ('\u{00C8}', 600), ('\u{00C9}', 600), ('\u{00CA}', 600), ('\u{00CB}', 600), ('\u{00CC}', 600),
('\u{00CD}', 600), ('\u{00CE}', 600), ('\u{00CF}', 600), ('\u{00D0}', 600), ('\u{00D1}', 600), ('\u{00D2}', 600),
('\u{00D3}', 600), ('\u{00D4}', 600), ('\u{00D5}', 600), ('\u{00D6}', 600), ('\u{00D7}', 600), ('\u{00D8}', 600),
('\u{00D9}', 600), ('\u{00DA}', 600), ('\u{00DB}', 600), ('\u{00DC}', 600), ('\u{00DD}', 600), ('\u{00DE}', 600),
('\u{00DF}', 600), ('\u{00E0}', 600), ('\u{00E1}', 600), ('\u{00E2}', 600), ('\u{00E3}', 600), ('\u{00E4}', 600),
('\u{00E5}', 600), ('\u{00E6}', 600), ('\u{00E7}', 600), ('\u{00E8}', 600), ('\u{00E9}', 600), ('\u{00EA}', 600),
('\u{00EB}', 600), ('\u{00EC}', 600), ('\u{00ED}', 600), ('\u{00EE}', 600), ('\u{00EF}', 600), ('\u{00F0}', 600),
('\u{00F1}', 600), ('\u{00F2}', 600), ('\u{00F3}', 600), ('\u{00F4}', 600), ('\u{00F5}', 600), ('\u{00F6}', 600),
('\u{00F7}', 600), ('\u{00F8}', 600), ('\u{00F9}', 600), ('\u{00FA}', 600), ('\u{00FB}', 600), ('\u{00FC}', 600),
('\u{00FD}', 600), ('\u{00FE}', 600), ('\u{00FF}', 600), ('\u{0131}', 600), ('\u{0141}', 600), ('\u{0142}', 600),
('\u{0152}', 600), ('\u{0153}', 600), ('\u{0160}', 600), ('\u{0161}', 600), ('\u{0178}', 600), ('\u{017D}', 600),
('\u{017E}', 600), ('\u{0192}', 600), ('\u{02C6}', 600), ('\u{02C7}', 600), ('\u{02D8}', 600), ('\u{02D9}', 600),
('\u{02DA}', 600), ('\u{02DB}', 600), ('\u{02DC}', 600), ('\u{02DD}', 600), ('\u{2013}', 600), ('\u{2014}', 600),
('\u{2018}', 600), ('\u{2019}', 600), ('\u{201A}', 600), ('\u{201C}', 600), ('\u{201D}', 600), ('\u{201E}', 600),
('\u{2020}', 600), ('\u{2021}', 600), ('\u{2022}', 600), ('\u{2026}', 600), ('\u{2030}', 600), ('\u{2039}', 600),
('\u{203A}', 600), ('\u{2044}', 600), ('\u{20AC}', 600), ('\u{2122}', 600), ('\u{2212}', 600), ('\u{FB01}', 600),
('\u{FB02}', 600),
];
static COURIER_BOLD: &[(char, u16)] = COURIER;
static COURIER_OBLIQUE: &[(char, u16)] = COURIER;
static COURIER_BOLDOBLIQUE: &[(char, u16)] = COURIER;
#[rustfmt::skip]
static HELVETICA: &[(char, u16)] = &[
(' ', 278), ('!', 278), ('"', 355), ('#', 556), ('$', 556), ('%', 889),
('&', 667), ('\'', 191), ('(', 333), (')', 333), ('*', 389), ('+', 584),
(',', 278), ('-', 333), ('.', 278), ('/', 278), ('0', 556), ('1', 556),
('2', 556), ('3', 556), ('4', 556), ('5', 556), ('6', 556), ('7', 556),
('8', 556), ('9', 556), (':', 278), (';', 278), ('<', 584), ('=', 584),
('>', 584), ('?', 556), ('@', 1015), ('A', 667), ('B', 667), ('C', 722),
('D', 722), ('E', 667), ('F', 611), ('G', 778), ('H', 722), ('I', 278),
('J', 500), ('K', 667), ('L', 556), ('M', 833), ('N', 722), ('O', 778),
('P', 667), ('Q', 778), ('R', 722), ('S', 667), ('T', 611), ('U', 722),
('V', 667), ('W', 944), ('X', 667), ('Y', 667), ('Z', 611), ('[', 278),
('\\', 278), (']', 278), ('^', 469), ('_', 556), ('`', 333), ('a', 556),
('b', 556), ('c', 500), ('d', 556), ('e', 556), ('f', 278), ('g', 556),
('h', 556), ('i', 222), ('j', 222), ('k', 500), ('l', 222), ('m', 833),
('n', 556), ('o', 556), ('p', 556), ('q', 556), ('r', 333), ('s', 500),
('t', 278), ('u', 556), ('v', 500), ('w', 722), ('x', 500), ('y', 500),
('z', 500), ('{', 334), ('|', 260), ('}', 334), ('~', 584), ('\u{00A1}', 333),
('\u{00A2}', 556), ('\u{00A3}', 556), ('\u{00A4}', 556), ('\u{00A5}', 556), ('\u{00A6}', 260), ('\u{00A7}', 556),
('\u{00A8}', 333), ('\u{00A9}', 737), ('\u{00AA}', 370), ('\u{00AB}', 556), ('\u{00AC}', 584), ('\u{00AE}', 737),
('\u{00AF}', 333), ('\u{00B0}', 400), ('\u{00B1}', 584), ('\u{00B2}', 333), ('\u{00B3}', 333), ('\u{00B4}', 333),
('\u{00B5}', 556), ('\u{00B6}', 537), ('\u{00B7}', 278), ('\u{00B8}', 333), ('\u{00B9}', 333), ('\u{00BA}', 365),
('\u{00BB}', 556), ('\u{00BC}', 834), ('\u{00BD}', 834), ('\u{00BE}', 834), ('\u{00BF}', 611), ('\u{00C0}', 667),
('\u{00C1}', 667), ('\u{00C2}', 667), ('\u{00C3}', 667), ('\u{00C4}', 667), ('\u{00C5}', 667), ('\u{00C6}', 1000),
('\u{00C7}', 722), ('\u{00C8}', 667), ('\u{00C9}', 667), ('\u{00CA}', 667), ('\u{00CB}', 667), ('\u{00CC}', 278),
('\u{00CD}', 278), ('\u{00CE}', 278), ('\u{00CF}', 278), ('\u{00D0}', 722), ('\u{00D1}', 722), ('\u{00D2}', 778),
('\u{00D3}', 778), ('\u{00D4}', 778), ('\u{00D5}', 778), ('\u{00D6}', 778), ('\u{00D7}', 584), ('\u{00D8}', 778),
('\u{00D9}', 722), ('\u{00DA}', 722), ('\u{00DB}', 722), ('\u{00DC}', 722), ('\u{00DD}', 667), ('\u{00DE}', 667),
('\u{00DF}', 611), ('\u{00E0}', 556), ('\u{00E1}', 556), ('\u{00E2}', 556), ('\u{00E3}', 556), ('\u{00E4}', 556),
('\u{00E5}', 556), ('\u{00E6}', 889), ('\u{00E7}', 500), ('\u{00E8}', 556), ('\u{00E9}', 556), ('\u{00EA}', 556),
('\u{00EB}', 556), ('\u{00EC}', 278), ('\u{00ED}', 278), ('\u{00EE}', 278), ('\u{00EF}', 278), ('\u{00F0}', 556),
('\u{00F1}', 556), ('\u{00F2}', 556), ('\u{00F3}', 556), ('\u{00F4}', 556), ('\u{00F5}', 556), ('\u{00F6}', 556),
('\u{00F7}', 584), ('\u{00F8}', 611), ('\u{00F9}', 556), ('\u{00FA}', 556), ('\u{00FB}', 556), ('\u{00FC}', 556),
('\u{00FD}', 500), ('\u{00FE}', 556), ('\u{00FF}', 500), ('\u{0131}', 278), ('\u{0141}', 556), ('\u{0142}', 222),
('\u{0152}', 1000), ('\u{0153}', 944), ('\u{0160}', 667), ('\u{0161}', 500), ('\u{0178}', 667), ('\u{017D}', 611),
('\u{017E}', 500), ('\u{0192}', 556), ('\u{02C6}', 333), ('\u{02C7}', 333), ('\u{02D8}', 333), ('\u{02D9}', 333),
('\u{02DA}', 333), ('\u{02DB}', 333), ('\u{02DC}', 333), ('\u{02DD}', 333), ('\u{2013}', 556), ('\u{2014}', 1000),
('\u{2018}', 222), ('\u{2019}', 222), ('\u{201A}', 222), ('\u{201C}', 333), ('\u{201D}', 333), ('\u{201E}', 333),
('\u{2020}', 556), ('\u{2021}', 556), ('\u{2022}', 350), ('\u{2026}', 1000), ('\u{2030}', 1000), ('\u{2039}', 333),
('\u{203A}', 333), ('\u{2044}', 167), ('\u{20AC}', 556), ('\u{2122}', 1000), ('\u{2212}', 584), ('\u{FB01}', 500),
('\u{FB02}', 500),
];
#[rustfmt::skip]
static HELVETICA_BOLD: &[(char, u16)] = &[
(' ', 278), ('!', 333), ('"', 474), ('#', 556), ('$', 556), ('%', 889),
('&', 722), ('\'', 238), ('(', 333), (')', 333), ('*', 389), ('+', 584),
(',', 278), ('-', 333), ('.', 278), ('/', 278), ('0', 556), ('1', 556),
('2', 556), ('3', 556), ('4', 556), ('5', 556), ('6', 556), ('7', 556),
('8', 556), ('9', 556), (':', 333), (';', 333), ('<', 584), ('=', 584),
('>', 584), ('?', 611), ('@', 975), ('A', 722), ('B', 722), ('C', 722),
('D', 722), ('E', 667), ('F', 611), ('G', 778), ('H', 722), ('I', 278),
('J', 556), ('K', 722), ('L', 611), ('M', 833), ('N', 722), ('O', 778),
('P', 667), ('Q', 778), ('R', 722), ('S', 667), ('T', 611), ('U', 722),
('V', 667), ('W', 944), ('X', 667), ('Y', 667), ('Z', 611), ('[', 333),
('\\', 278), (']', 333), ('^', 584), ('_', 556), ('`', 333), ('a', 556),
('b', 611), ('c', 556), ('d', 611), ('e', 556), ('f', 333), ('g', 611),
('h', 611), ('i', 278), ('j', 278), ('k', 556), ('l', 278), ('m', 889),
('n', 611), ('o', 611), ('p', 611), ('q', 611), ('r', 389), ('s', 556),
('t', 333), ('u', 611), ('v', 556), ('w', 778), ('x', 556), ('y', 556),
('z', 500), ('{', 389), ('|', 280), ('}', 389), ('~', 584), ('\u{00A1}', 333),
('\u{00A2}', 556), ('\u{00A3}', 556), ('\u{00A4}', 556), ('\u{00A5}', 556), ('\u{00A6}', 280), ('\u{00A7}', 556),
('\u{00A8}', 333), ('\u{00A9}', 737), ('\u{00AA}', 370), ('\u{00AB}', 556), ('\u{00AC}', 584), ('\u{00AE}', 737),
('\u{00AF}', 333), ('\u{00B0}', 400), ('\u{00B1}', 584), ('\u{00B2}', 333), ('\u{00B3}', 333), ('\u{00B4}', 333),
('\u{00B5}', 611), ('\u{00B6}', 556), ('\u{00B7}', 278), ('\u{00B8}', 333), ('\u{00B9}', 333), ('\u{00BA}', 365),
('\u{00BB}', 556), ('\u{00BC}', 834), ('\u{00BD}', 834), ('\u{00BE}', 834), ('\u{00BF}', 611), ('\u{00C0}', 722),
('\u{00C1}', 722), ('\u{00C2}', 722), ('\u{00C3}', 722), ('\u{00C4}', 722), ('\u{00C5}', 722), ('\u{00C6}', 1000),
('\u{00C7}', 722), ('\u{00C8}', 667), ('\u{00C9}', 667), ('\u{00CA}', 667), ('\u{00CB}', 667), ('\u{00CC}', 278),
('\u{00CD}', 278), ('\u{00CE}', 278), ('\u{00CF}', 278), ('\u{00D0}', 722), ('\u{00D1}', 722), ('\u{00D2}', 778),
('\u{00D3}', 778), ('\u{00D4}', 778), ('\u{00D5}', 778), ('\u{00D6}', 778), ('\u{00D7}', 584), ('\u{00D8}', 778),
('\u{00D9}', 722), ('\u{00DA}', 722), ('\u{00DB}', 722), ('\u{00DC}', 722), ('\u{00DD}', 667), ('\u{00DE}', 667),
('\u{00DF}', 611), ('\u{00E0}', 556), ('\u{00E1}', 556), ('\u{00E2}', 556), ('\u{00E3}', 556), ('\u{00E4}', 556),
('\u{00E5}', 556), ('\u{00E6}', 889), ('\u{00E7}', 556), ('\u{00E8}', 556), ('\u{00E9}', 556), ('\u{00EA}', 556),
('\u{00EB}', 556), ('\u{00EC}', 278), ('\u{00ED}', 278), ('\u{00EE}', 278), ('\u{00EF}', 278), ('\u{00F0}', 611),
('\u{00F1}', 611), ('\u{00F2}', 611), ('\u{00F3}', 611), ('\u{00F4}', 611), ('\u{00F5}', 611), ('\u{00F6}', 611),
('\u{00F7}', 584), ('\u{00F8}', 611), ('\u{00F9}', 611), ('\u{00FA}', 611), ('\u{00FB}', 611), ('\u{00FC}', 611),
('\u{00FD}', 556), ('\u{00FE}', 611), ('\u{00FF}', 556), ('\u{0131}', 278), ('\u{0141}', 611), ('\u{0142}', 278),
('\u{0152}', 1000), ('\u{0153}', 944), ('\u{0160}', 667), ('\u{0161}', 556), ('\u{0178}', 667), ('\u{017D}', 611),
('\u{017E}', 500), ('\u{0192}', 556), ('\u{02C6}', 333), ('\u{02C7}', 333), ('\u{02D8}', 333), ('\u{02D9}', 333),
('\u{02DA}', 333), ('\u{02DB}', 333), ('\u{02DC}', 333), ('\u{02DD}', 333), ('\u{2013}', 556), ('\u{2014}', 1000),
('\u{2018}', 278), ('\u{2019}', 278), ('\u{201A}', 278), ('\u{201C}', 500), ('\u{201D}', 500), ('\u{201E}', 500),
('\u{2020}', 556), ('\u{2021}', 556), ('\u{2022}', 350), ('\u{2026}', 1000), ('\u{2030}', 1000), ('\u{2039}', 333),
('\u{203A}', 333), ('\u{2044}', 167), ('\u{20AC}', 556), ('\u{2122}', 1000), ('\u{2212}', 584), ('\u{FB01}', 611),
('\u{FB02}', 611),
];
static HELVETICA_OBLIQUE: &[(char, u16)] = HELVETICA;
static HELVETICA_BOLDOBLIQUE: &[(char, u16)] = HELVETICA_BOLD;
#[rustfmt::skip]
static TIMES_ROMAN: &[(char, u16)] = &[
(' ', 250), ('!', 333), ('"', 408), ('#', 500), ('$', 500), ('%', 833),
('&', 778), ('\'', 180), ('(', 333), (')', 333), ('*', 500), ('+', 564),
(',', 250), ('-', 333), ('.', 250), ('/', 278), ('0', 500), ('1', 500),
('2', 500), ('3', 500), ('4', 500), ('5', 500), ('6', 500), ('7', 500),
('8', 500), ('9', 500), (':', 278), (';', 278), ('<', 564), ('=', 564),
('>', 564), ('?', 444), ('@', 921), ('A', 722), ('B', 667), ('C', 667),
('D', 722), ('E', 611), ('F', 556), ('G', 722), ('H', 722), ('I', 333),
('J', 389), ('K', 722), ('L', 611), ('M', 889), ('N', 722), ('O', 722),
('P', 556), ('Q', 722), ('R', 667), ('S', 556), ('T', 611), ('U', 722),
('V', 722), ('W', 944), ('X', 722), ('Y', 722), ('Z', 611), ('[', 333),
('\\', 278), (']', 333), ('^', 469), ('_', 500), ('`', 333), ('a', 444),
('b', 500), ('c', 444), ('d', 500), ('e', 444), ('f', 333), ('g', 500),
('h', 500), ('i', 278), ('j', 278), ('k', 500), ('l', 278), ('m', 778),
('n', 500), ('o', 500), ('p', 500), ('q', 500), ('r', 333), ('s', 389),
('t', 278), ('u', 500), ('v', 500), ('w', 722), ('x', 500), ('y', 500),
('z', 444), ('{', 480), ('|', 200), ('}', 480), ('~', 541), ('\u{00A1}', 333),
('\u{00A2}', 500), ('\u{00A3}', 500), ('\u{00A4}', 500), ('\u{00A5}', 500), ('\u{00A6}', 200), ('\u{00A7}', 500),
('\u{00A8}', 333), ('\u{00A9}', 760), ('\u{00AA}', 276), ('\u{00AB}', 500), ('\u{00AC}', 564), ('\u{00AE}', 760),
('\u{00AF}', 333), ('\u{00B0}', 400), ('\u{00B1}', 564), ('\u{00B2}', 300), ('\u{00B3}', 300), ('\u{00B4}', 333),
('\u{00B5}', 500), ('\u{00B6}', 453), ('\u{00B7}', 250), ('\u{00B8}', 333), ('\u{00B9}', 300), ('\u{00BA}', 310),
('\u{00BB}', 500), ('\u{00BC}', 750), ('\u{00BD}', 750), ('\u{00BE}', 750), ('\u{00BF}', 444), ('\u{00C0}', 722),
('\u{00C1}', 722), ('\u{00C2}', 722), ('\u{00C3}', 722), ('\u{00C4}', 722), ('\u{00C5}', 722), ('\u{00C6}', 889),
('\u{00C7}', 667), ('\u{00C8}', 611), ('\u{00C9}', 611), ('\u{00CA}', 611), ('\u{00CB}', 611), ('\u{00CC}', 333),
('\u{00CD}', 333), ('\u{00CE}', 333), ('\u{00CF}', 333), ('\u{00D0}', 722), ('\u{00D1}', 722), ('\u{00D2}', 722),
('\u{00D3}', 722), ('\u{00D4}', 722), ('\u{00D5}', 722), ('\u{00D6}', 722), ('\u{00D7}', 564), ('\u{00D8}', 722),
('\u{00D9}', 722), ('\u{00DA}', 722), ('\u{00DB}', 722), ('\u{00DC}', 722), ('\u{00DD}', 722), ('\u{00DE}', 556),
('\u{00DF}', 500), ('\u{00E0}', 444), ('\u{00E1}', 444), ('\u{00E2}', 444), ('\u{00E3}', 444), ('\u{00E4}', 444),
('\u{00E5}', 444), ('\u{00E6}', 667), ('\u{00E7}', 444), ('\u{00E8}', 444), ('\u{00E9}', 444), ('\u{00EA}', 444),
('\u{00EB}', 444), ('\u{00EC}', 278), ('\u{00ED}', 278), ('\u{00EE}', 278), ('\u{00EF}', 278), ('\u{00F0}', 500),
('\u{00F1}', 500), ('\u{00F2}', 500), ('\u{00F3}', 500), ('\u{00F4}', 500), ('\u{00F5}', 500), ('\u{00F6}', 500),
('\u{00F7}', 564), ('\u{00F8}', 500), ('\u{00F9}', 500), ('\u{00FA}', 500), ('\u{00FB}', 500), ('\u{00FC}', 500),
('\u{00FD}', 500), ('\u{00FE}', 500), ('\u{00FF}', 500), ('\u{0131}', 278), ('\u{0141}', 611), ('\u{0142}', 278),
('\u{0152}', 889), ('\u{0153}', 722), ('\u{0160}', 556), ('\u{0161}', 389), ('\u{0178}', 722), ('\u{017D}', 611),
('\u{017E}', 444), ('\u{0192}', 500), ('\u{02C6}', 333), ('\u{02C7}', 333), ('\u{02D8}', 333), ('\u{02D9}', 333),
('\u{02DA}', 333), ('\u{02DB}', 333), ('\u{02DC}', 333), ('\u{02DD}', 333), ('\u{2013}', 500), ('\u{2014}', 1000),
('\u{2018}', 333), ('\u{2019}', 333), ('\u{201A}', 333), ('\u{201C}', 444), ('\u{201D}', 444), ('\u{201E}', 444),
('\u{2020}', 500), ('\u{2021}', 500), ('\u{2022}', 350), ('\u{2026}', 1000), ('\u{2030}', 1000), ('\u{2039}', 333),
('\u{203A}', 333), ('\u{2044}', 167), ('\u{20AC}', 500), ('\u{2122}', 980), ('\u{2212}', 564), ('\u{FB01}', 556),
('\u{FB02}', 556),
];
#[rustfmt::skip]
static TIMES_BOLD: &[(char, u16)] = &[
(' ', 250), ('!', 333), ('"', 555), ('#', 500), ('$', 500), ('%', 1000),
('&', 833), ('\'', 278), ('(', 333), (')', 333), ('*', 500), ('+', 570),
(',', 250), ('-', 333), ('.', 250), ('/', 278), ('0', 500), ('1', 500),
('2', 500), ('3', 500), ('4', 500), ('5', 500), ('6', 500), ('7', 500),
('8', 500), ('9', 500), (':', 333), (';', 333), ('<', 570), ('=', 570),
('>', 570), ('?', 500), ('@', 930), ('A', 722), ('B', 667), ('C', 722),
('D', 722), ('E', 667), ('F', 611), ('G', 778), ('H', 778), ('I', 389),
('J', 500), ('K', 778), ('L', 667), ('M', 944), ('N', 722), ('O', 778),
('P', 611), ('Q', 778), ('R', 722), ('S', 556), ('T', 667), ('U', 722),
('V', 722), ('W', 1000), ('X', 722), ('Y', 722), ('Z', 667), ('[', 333),
('\\', 278), (']', 333), ('^', 581), ('_', 500), ('`', 333), ('a', 500),
('b', 556), ('c', 444), ('d', 556), ('e', 444), ('f', 333), ('g', 500),
('h', 556), ('i', 278), ('j', 333), ('k', 556), ('l', 278), ('m', 833),
('n', 556), ('o', 500), ('p', 556), ('q', 556), ('r', 444), ('s', 389),
('t', 333), ('u', 556), ('v', 500), ('w', 722), ('x', 500), ('y', 500),
('z', 444), ('{', 394), ('|', 220), ('}', 394), ('~', 520), ('\u{00A1}', 333),
('\u{00A2}', 500), ('\u{00A3}', 500), ('\u{00A4}', 500), ('\u{00A5}', 500), ('\u{00A6}', 220), ('\u{00A7}', 500),
('\u{00A8}', 333), ('\u{00A9}', 747), ('\u{00AA}', 300), ('\u{00AB}', 500), ('\u{00AC}', 570), ('\u{00AE}', 747),
('\u{00AF}', 333), ('\u{00B0}', 400), ('\u{00B1}', 570), ('\u{00B2}', 300), ('\u{00B3}', 300), ('\u{00B4}', 333),
('\u{00B5}', 556), ('\u{00B6}', 540), ('\u{00B7}', 250), ('\u{00B8}', 333), ('\u{00B9}', 300), ('\u{00BA}', 330),
('\u{00BB}', 500), ('\u{00BC}', 750), ('\u{00BD}', 750), ('\u{00BE}', 750), ('\u{00BF}', 500), ('\u{00C0}', 722),
('\u{00C1}', 722), ('\u{00C2}', 722), ('\u{00C3}', 722), ('\u{00C4}', 722), ('\u{00C5}', 722), ('\u{00C6}', 1000),
('\u{00C7}', 722), ('\u{00C8}', 667), ('\u{00C9}', 667), ('\u{00CA}', 667), ('\u{00CB}', 667), ('\u{00CC}', 389),
('\u{00CD}', 389), ('\u{00CE}', 389), ('\u{00CF}', 389), ('\u{00D0}', 722), ('\u{00D1}', 722), ('\u{00D2}', 778),
('\u{00D3}', 778), ('\u{00D4}', 778), ('\u{00D5}', 778), ('\u{00D6}', 778), ('\u{00D7}', 570), ('\u{00D8}', 778),
('\u{00D9}', 722), ('\u{00DA}', 722), ('\u{00DB}', 722), ('\u{00DC}', 722), ('\u{00DD}', 722), ('\u{00DE}', 611),
('\u{00DF}', 556), ('\u{00E0}', 500), ('\u{00E1}', 500), ('\u{00E2}', 500), ('\u{00E3}', 500), ('\u{00E4}', 500),
('\u{00E5}', 500), ('\u{00E6}', 722), ('\u{00E7}', 444), ('\u{00E8}', 444), ('\u{00E9}', 444), ('\u{00EA}', 444),
('\u{00EB}', 444), ('\u{00EC}', 278), ('\u{00ED}', 278), ('\u{00EE}', 278), ('\u{00EF}', 278), ('\u{00F0}', 500),
('\u{00F1}', 556), ('\u{00F2}', 500), ('\u{00F3}', 500), ('\u{00F4}', 500), ('\u{00F5}', 500), ('\u{00F6}', 500),
('\u{00F7}', 570), ('\u{00F8}', 500), ('\u{00F9}', 556), ('\u{00FA}', 556), ('\u{00FB}', 556), ('\u{00FC}', 556),
('\u{00FD}', 500), ('\u{00FE}', 556), ('\u{00FF}', 500), ('\u{0131}', 278), ('\u{0141}', 667), ('\u{0142}', 278),
('\u{0152}', 1000), ('\u{0153}', 722), ('\u{0160}', 556), ('\u{0161}', 389), ('\u{0178}', 722), ('\u{017D}', 667),
('\u{017E}', 444), ('\u{0192}', 500), ('\u{02C6}', 333), ('\u{02C7}', 333), ('\u{02D8}', 333), ('\u{02D9}', 333),
('\u{02DA}', 333), ('\u{02DB}', 333), ('\u{02DC}', 333), ('\u{02DD}', 333), ('\u{2013}', 500), ('\u{2014}', 1000),
('\u{2018}', 333), ('\u{2019}', 333), ('\u{201A}', 333), ('\u{201C}', 500), ('\u{201D}', 500), ('\u{201E}', 500),
('\u{2020}', 500), ('\u{2021}', 500), ('\u{2022}', 350), ('\u{2026}', 1000), ('\u{2030}', 1000), ('\u{2039}', 333),
('\u{203A}', 333), ('\u{2044}', 167), ('\u{20AC}', 500), ('\u{2122}', 1000), ('\u{2212}', 570), ('\u{FB01}', 556),
('\u{FB02}', 556),
];
#[rustfmt::skip]
static TIMES_ITALIC: &[(char, u16)] = &[
(' ', 250), ('!', 333), ('"', 420), ('#', 500), ('$', 500), ('%', 833),
('&', 778), ('\'', 214), ('(', 333), (')', 333), ('*', 500), ('+', 675),
(',', 250), ('-', 333), ('.', 250), ('/', 278), ('0', 500), ('1', 500),
('2', 500), ('3', 500), ('4', 500), ('5', 500), ('6', 500), ('7', 500),
('8', 500), ('9', 500), (':', 333), (';', 333), ('<', 675), ('=', 675),
('>', 675), ('?', 500), ('@', 920), ('A', 611), ('B', 611), ('C', 667),
('D', 722), ('E', 611), ('F', 611), ('G', 722), ('H', 722), ('I', 333),
('J', 444), ('K', 667), ('L', 556), ('M', 833), ('N', 667), ('O', 722),
('P', 611), ('Q', 722), ('R', 611), ('S', 500), ('T', 556), ('U', 722),
('V', 611), ('W', 833), ('X', 611), ('Y', 556), ('Z', 556), ('[', 389),
('\\', 278), (']', 389), ('^', 422), ('_', 500), ('`', 333), ('a', 500),
('b', 500), ('c', 444), ('d', 500), ('e', 444), ('f', 278), ('g', 500),
('h', 500), ('i', 278), ('j', 278), ('k', 444), ('l', 278), ('m', 722),
('n', 500), ('o', 500), ('p', 500), ('q', 500), ('r', 389), ('s', 389),
('t', 278), ('u', 500), ('v', 444), ('w', 667), ('x', 444), ('y', 444),
('z', 389), ('{', 400), ('|', 275), ('}', 400), ('~', 541), ('\u{00A1}', 389),
('\u{00A2}', 500), ('\u{00A3}', 500), ('\u{00A4}', 500), ('\u{00A5}', 500), ('\u{00A6}', 275), ('\u{00A7}', 500),
('\u{00A8}', 333), ('\u{00A9}', 760), ('\u{00AA}', 276), ('\u{00AB}', 500), ('\u{00AC}', 675), ('\u{00AE}', 760),
('\u{00AF}', 333), ('\u{00B0}', 400), ('\u{00B1}', 675), ('\u{00B2}', 300), ('\u{00B3}', 300), ('\u{00B4}', 333),
('\u{00B5}', 500), ('\u{00B6}', 523), ('\u{00B7}', 250), ('\u{00B8}', 333), ('\u{00B9}', 300), ('\u{00BA}', 310),
('\u{00BB}', 500), ('\u{00BC}', 750), ('\u{00BD}', 750), ('\u{00BE}', 750), ('\u{00BF}', 500), ('\u{00C0}', 611),
('\u{00C1}', 611), ('\u{00C2}', 611), ('\u{00C3}', 611), ('\u{00C4}', 611), ('\u{00C5}', 611), ('\u{00C6}', 889),
('\u{00C7}', 667), ('\u{00C8}', 611), ('\u{00C9}', 611), ('\u{00CA}', 611), ('\u{00CB}', 611), ('\u{00CC}', 333),
('\u{00CD}', 333), ('\u{00CE}', 333), ('\u{00CF}', 333), ('\u{00D0}', 722), ('\u{00D1}', 667), ('\u{00D2}', 722),
('\u{00D3}', 722), ('\u{00D4}', 722), ('\u{00D5}', 722), ('\u{00D6}', 722), ('\u{00D7}', 675), ('\u{00D8}', 722),
('\u{00D9}', 722), ('\u{00DA}', 722), ('\u{00DB}', 722), ('\u{00DC}', 722), ('\u{00DD}', 556), ('\u{00DE}', 611),
('\u{00DF}', 500), ('\u{00E0}', 500), ('\u{00E1}', 500), ('\u{00E2}', 500), ('\u{00E3}', 500), ('\u{00E4}', 500),
('\u{00E5}', 500), ('\u{00E6}', 667), ('\u{00E7}', 444), ('\u{00E8}', 444), ('\u{00E9}', 444), ('\u{00EA}', 444),
('\u{00EB}', 444), ('\u{00EC}', 278), ('\u{00ED}', 278), ('\u{00EE}', 278), ('\u{00EF}', 278), ('\u{00F0}', 500),
('\u{00F1}', 500), ('\u{00F2}', 500), ('\u{00F3}', 500), ('\u{00F4}', 500), ('\u{00F5}', 500), ('\u{00F6}', 500),
('\u{00F7}', 675), ('\u{00F8}', 500), ('\u{00F9}', 500), ('\u{00FA}', 500), ('\u{00FB}', 500), ('\u{00FC}', 500),
('\u{00FD}', 444), ('\u{00FE}', 500), ('\u{00FF}', 444), ('\u{0131}', 278), ('\u{0141}', 556), ('\u{0142}', 278),
('\u{0152}', 944), ('\u{0153}', 667), ('\u{0160}', 500), ('\u{0161}', 389), ('\u{0178}', 556), ('\u{017D}', 556),
('\u{017E}', 389), ('\u{0192}', 500), ('\u{02C6}', 333), ('\u{02C7}', 333), ('\u{02D8}', 333), ('\u{02D9}', 333),
('\u{02DA}', 333), ('\u{02DB}', 333), ('\u{02DC}', 333), ('\u{02DD}', 333), ('\u{2013}', 500), ('\u{2014}', 889),
('\u{2018}', 333), ('\u{2019}', 333), ('\u{201A}', 333), ('\u{201C}', 556), ('\u{201D}', 556), ('\u{201E}', 556),
('\u{2020}', 500), ('\u{2021}', 500), ('\u{2022}', 350), ('\u{2026}', 889), ('\u{2030}', 1000), ('\u{2039}', 333),
('\u{203A}', 333), ('\u{2044}', 167), ('\u{20AC}', 500), ('\u{2122}', 980), ('\u{2212}', 675), ('\u{FB01}', 500),
('\u{FB02}', 500),
];
#[rustfmt::skip]
static TIMES_BOLDITALIC: &[(char, u16)] = &[
(' ', 250), ('!', 389), ('"', 555), ('#', 500), ('$', 500), ('%', 833),
('&', 778), ('\'', 278), ('(', 333), (')', 333), ('*', 500), ('+', 570),
(',', 250), ('-', 333), ('.', 250), ('/', 278), ('0', 500), ('1', 500),
('2', 500), ('3', 500), ('4', 500), ('5', 500), ('6', 500), ('7', 500),
('8', 500), ('9', 500), (':', 333), (';', 333), ('<', 570), ('=', 570),
('>', 570), ('?', 500), ('@', 832), ('A', 667), ('B', 667), ('C', 667),
('D', 722), ('E', 667), ('F', 667), ('G', 722), ('H', 778), ('I', 389),
('J', 500), ('K', 667), ('L', 611), ('M', 889), ('N', 722), ('O', 722),
('P', 611), ('Q', 722), ('R', 667), ('S', 556), ('T', 611), ('U', 722),
('V', 667), ('W', 889), ('X', 667), ('Y', 611), ('Z', 611), ('[', 333),
('\\', 278), (']', 333), ('^', 570), ('_', 500), ('`', 333), ('a', 500),
('b', 500), ('c', 444), ('d', 500), ('e', 444), ('f', 333), ('g', 500),
('h', 556), ('i', 278), ('j', 278), ('k', 500), ('l', 278), ('m', 778),
('n', 556), ('o', 500), ('p', 500), ('q', 500), ('r', 389), ('s', 389),
('t', 278), ('u', 556), ('v', 444), ('w', 667), ('x', 500), ('y', 444),
('z', 389), ('{', 348), ('|', 220), ('}', 348), ('~', 570), ('\u{00A1}', 389),
('\u{00A2}', 500), ('\u{00A3}', 500), ('\u{00A4}', 500), ('\u{00A5}', 500), ('\u{00A6}', 220), ('\u{00A7}', 500),
('\u{00A8}', 333), ('\u{00A9}', 747), ('\u{00AA}', 266), ('\u{00AB}', 500), ('\u{00AC}', 606), ('\u{00AE}', 747),
('\u{00AF}', 333), ('\u{00B0}', 400), ('\u{00B1}', 570), ('\u{00B2}', 300), ('\u{00B3}', 300), ('\u{00B4}', 333),
('\u{00B5}', 576), ('\u{00B6}', 500), ('\u{00B7}', 250), ('\u{00B8}', 333), ('\u{00B9}', 300), ('\u{00BA}', 300),
('\u{00BB}', 500), ('\u{00BC}', 750), ('\u{00BD}', 750), ('\u{00BE}', 750), ('\u{00BF}', 500), ('\u{00C0}', 667),
('\u{00C1}', 667), ('\u{00C2}', 667), ('\u{00C3}', 667), ('\u{00C4}', 667), ('\u{00C5}', 667), ('\u{00C6}', 944),
('\u{00C7}', 667), ('\u{00C8}', 667), ('\u{00C9}', 667), ('\u{00CA}', 667), ('\u{00CB}', 667), ('\u{00CC}', 389),
('\u{00CD}', 389), ('\u{00CE}', 389), ('\u{00CF}', 389), ('\u{00D0}', 722), ('\u{00D1}', 722), ('\u{00D2}', 722),
('\u{00D3}', 722), ('\u{00D4}', 722), ('\u{00D5}', 722), ('\u{00D6}', 722), ('\u{00D7}', 570), ('\u{00D8}', 722),
('\u{00D9}', 722), ('\u{00DA}', 722), ('\u{00DB}', 722), ('\u{00DC}', 722), ('\u{00DD}', 611), ('\u{00DE}', 611),
('\u{00DF}', 500), ('\u{00E0}', 500), ('\u{00E1}', 500), ('\u{00E2}', 500), ('\u{00E3}', 500), ('\u{00E4}', 500),
('\u{00E5}', 500), ('\u{00E6}', 722), ('\u{00E7}', 444), ('\u{00E8}', 444), ('\u{00E9}', 444), ('\u{00EA}', 444),
('\u{00EB}', 444), ('\u{00EC}', 278), ('\u{00ED}', 278), ('\u{00EE}', 278), ('\u{00EF}', 278), ('\u{00F0}', 500),
('\u{00F1}', 556), ('\u{00F2}', 500), ('\u{00F3}', 500), ('\u{00F4}', 500), ('\u{00F5}', 500), ('\u{00F6}', 500),
('\u{00F7}', 570), ('\u{00F8}', 500), ('\u{00F9}', 556), ('\u{00FA}', 556), ('\u{00FB}', 556), ('\u{00FC}', 556),
('\u{00FD}', 444), ('\u{00FE}', 500), ('\u{00FF}', 444), ('\u{0131}', 278), ('\u{0141}', 611), ('\u{0142}', 278),
('\u{0152}', 944), ('\u{0153}', 722), ('\u{0160}', 556), ('\u{0161}', 389), ('\u{0178}', 611), ('\u{017D}', 611),
('\u{017E}', 389), ('\u{0192}', 500), ('\u{02C6}', 333), ('\u{02C7}', 333), ('\u{02D8}', 333), ('\u{02D9}', 333),
('\u{02DA}', 333), ('\u{02DB}', 333), ('\u{02DC}', 333), ('\u{02DD}', 333), ('\u{2013}', 500), ('\u{2014}', 1000),
('\u{2018}', 333), ('\u{2019}', 333), ('\u{201A}', 333), ('\u{201C}', 500), ('\u{201D}', 500), ('\u{201E}', 500),
('\u{2020}', 500), ('\u{2021}', 500), ('\u{2022}', 350), ('\u{2026}', 1000), ('\u{2030}', 1000), ('\u{2039}', 333),
('\u{203A}', 333), ('\u{2044}', 167), ('\u{20AC}', 500), ('\u{2122}', 1000), ('\u{2212}', 606), ('\u{FB01}', 556),
('\u{FB02}', 556),
];
#[rustfmt::skip]
static SYMBOL: &[(char, u16)] = &[
(' ', 250), ('!', 333), ('#', 500), ('%', 833), ('&', 778), ('(', 333),
(')', 333), ('+', 549), (',', 250), ('.', 250), ('/', 278), ('0', 500),
('1', 500), ('2', 500), ('3', 500), ('4', 500), ('5', 500), ('6', 500),
('7', 500), ('8', 500), ('9', 500), (':', 278), (';', 278), ('<', 549),
('=', 549), ('>', 549), ('?', 444), ('[', 333), (']', 333), ('_', 500),
('{', 480), ('|', 200), ('}', 480), ('\u{00AC}', 713), ('\u{00B0}', 400), ('\u{00B1}', 549),
('\u{00B5}', 576), ('\u{00D7}', 549), ('\u{00F7}', 549), ('\u{0192}', 500), ('\u{0391}', 722), ('\u{0392}', 667),
('\u{0393}', 603), ('\u{0395}', 611), ('\u{0396}', 611), ('\u{0397}', 722), ('\u{0398}', 741), ('\u{0399}', 333),
('\u{039A}', 722), ('\u{039B}', 686), ('\u{039C}', 889), ('\u{039D}', 722), ('\u{039E}', 645), ('\u{039F}', 722),
('\u{03A0}', 768), ('\u{03A1}', 556), ('\u{03A3}', 592), ('\u{03A4}', 611), ('\u{03A5}', 690), ('\u{03A6}', 763),
('\u{03A7}', 722), ('\u{03A8}', 795), ('\u{03B1}', 631), ('\u{03B2}', 549), ('\u{03B3}', 411), ('\u{03B4}', 494),
('\u{03B5}', 439), ('\u{03B6}', 494), ('\u{03B7}', 603), ('\u{03B8}', 521), ('\u{03B9}', 329), ('\u{03BA}', 549),
('\u{03BB}', 549), ('\u{03BD}', 521), ('\u{03BE}', 493), ('\u{03BF}', 549), ('\u{03C0}', 549), ('\u{03C1}', 549),
('\u{03C2}', 439), ('\u{03C3}', 603), ('\u{03C4}', 439), ('\u{03C5}', 576), ('\u{03C6}', 521), ('\u{03C7}', 549),
('\u{03C8}', 686), ('\u{03C9}', 686), ('\u{03D1}', 631), ('\u{03D2}', 620), ('\u{03D5}', 603), ('\u{03D6}', 713),
('\u{2022}', 460), ('\u{2026}', 1000), ('\u{2032}', 247), ('\u{2033}', 411), ('\u{2044}', 167), ('\u{20AC}', 750),
('\u{2111}', 686), ('\u{2118}', 987), ('\u{211C}', 795), ('\u{2126}', 768), ('\u{2135}', 823), ('\u{2190}', 987),
('\u{2191}', 603), ('\u{2192}', 987), ('\u{2193}', 603), ('\u{2194}', 1042), ('\u{21B5}', 658), ('\u{21D0}', 987),
('\u{21D1}', 603), ('\u{21D2}', 987), ('\u{21D3}', 603), ('\u{21D4}', 1042), ('\u{2200}', 713), ('\u{2202}', 494),
('\u{2203}', 549), ('\u{2205}', 823), ('\u{2206}', 612), ('\u{2207}', 713), ('\u{2208}', 713), ('\u{2209}', 713),
('\u{220B}', 439), ('\u{220F}', 823), ('\u{2211}', 713), ('\u{2212}', 549), ('\u{2217}', 500), ('\u{221A}', 549),
('\u{221D}', 713), ('\u{221E}', 713), ('\u{2220}', 768), ('\u{2227}', 603), ('\u{2228}', 603), ('\u{2229}', 768),
('\u{222A}', 768), ('\u{222B}', 274), ('\u{2234}', 863), ('\u{223C}', 549), ('\u{2245}', 549), ('\u{2248}', 549),
('\u{2260}', 549), ('\u{2261}', 549), ('\u{2264}', 549), ('\u{2265}', 549), ('\u{2282}', 713), ('\u{2283}', 713),
('\u{2284}', 713), ('\u{2286}', 713), ('\u{2287}', 713), ('\u{2295}', 768), ('\u{2297}', 768), ('\u{22A5}', 658),
('\u{22C5}', 250), ('\u{2320}', 686), ('\u{2321}', 686), ('\u{2329}', 329), ('\u{232A}', 329), ('\u{25CA}', 494),
('\u{2660}', 753), ('\u{2663}', 753), ('\u{2665}', 753), ('\u{2666}', 753), ('\u{F6D9}', 790), ('\u{F6DA}', 790),
('\u{F6DB}', 890), ('\u{F8E5}', 500), ('\u{F8E6}', 603), ('\u{F8E7}', 1000), ('\u{F8E8}', 790), ('\u{F8E9}', 790),
('\u{F8EA}', 786), ('\u{F8EB}', 384), ('\u{F8EC}', 384), ('\u{F8ED}', 384), ('\u{F8EE}', 384), ('\u{F8EF}', 384),
('\u{F8F0}', 384), ('\u{F8F1}', 494), ('\u{F8F2}', 494), ('\u{F8F3}', 494), ('\u{F8F4}', 494), ('\u{F8F5}', 686),
('\u{F8F6}', 384), ('\u{F8F7}', 384), ('\u{F8F8}', 384), ('\u{F8F9}', 384), ('\u{F8FA}', 384), ('\u{F8FB}', 384),
('\u{F8FC}', 494), ('\u{F8FD}', 494), ('\u{F8FE}', 494), ('\u{F8FF}', 790),
];
#[rustfmt::skip]
static ZAPFDINGBATS: &[(char, u16)] = &[
(' ', 278), ('\u{2192}', 838), ('\u{2194}', 1016), ('\u{2195}', 458), ('\u{2460}', 788), ('\u{2461}', 788),
('\u{2462}', 788), ('\u{2463}', 788), ('\u{2464}', 788), ('\u{2465}', 788), ('\u{2466}', 788), ('\u{2467}', 788),
('\u{2468}', 788), ('\u{2469}', 788), ('\u{25A0}', 761), ('\u{25B2}', 892), ('\u{25BC}', 892), ('\u{25C6}', 788),
('\u{25CF}', 791), ('\u{25D7}', 438), ('\u{2605}', 816), ('\u{260E}', 719), ('\u{261B}', 960), ('\u{261E}', 939),
('\u{2660}', 626), ('\u{2663}', 776), ('\u{2665}', 694), ('\u{2666}', 595), ('\u{2701}', 974), ('\u{2702}', 961),
('\u{2703}', 974), ('\u{2704}', 980), ('\u{2706}', 789), ('\u{2707}', 790), ('\u{2708}', 791), ('\u{2709}', 690),
('\u{270C}', 549), ('\u{270D}', 855), ('\u{270E}', 911), ('\u{270F}', 933), ('\u{2710}', 911), ('\u{2711}', 945),
('\u{2712}', 974), ('\u{2713}', 755), ('\u{2714}', 846), ('\u{2715}', 762), ('\u{2716}', 761), ('\u{2717}', 571),
('\u{2718}', 677), ('\u{2719}', 763), ('\u{271A}', 760), ('\u{271B}', 759), ('\u{271C}', 754), ('\u{271D}', 494),
('\u{271E}', 552), ('\u{271F}', 537), ('\u{2720}', 577), ('\u{2721}', 692), ('\u{2722}', 786), ('\u{2723}', 788),
('\u{2724}', 788), ('\u{2725}', 790), ('\u{2726}', 793), ('\u{2727}', 794), ('\u{2729}', 823), ('\u{272A}', 789),
('\u{272B}', 841), ('\u{272C}', 823), ('\u{272D}', 833), ('\u{272E}', 816), ('\u{272F}', 831), ('\u{2730}', 923),
('\u{2731}', 744), ('\u{2732}', 723), ('\u{2733}', 749), ('\u{2734}', 790), ('\u{2735}', 792), ('\u{2736}', 695),
('\u{2737}', 776), ('\u{2738}', 768), ('\u{2739}', 792), ('\u{273A}', 759), ('\u{273B}', 707), ('\u{273C}', 708),
('\u{273D}', 682), ('\u{273E}', 701), ('\u{273F}', 826), ('\u{2740}', 815), ('\u{2741}', 789), ('\u{2742}', 789),
('\u{2743}', 707), ('\u{2744}', 687), ('\u{2745}', 696), ('\u{2746}', 689), ('\u{2747}', 786), ('\u{2748}', 787),
('\u{2749}', 713), ('\u{274A}', 791), ('\u{274B}', 785), ('\u{274D}', 873), ('\u{274F}', 762), ('\u{2750}', 762),
('\u{2751}', 759), ('\u{2752}', 759), ('\u{2756}', 784), ('\u{2758}', 138), ('\u{2759}', 277), ('\u{275A}', 415),
('\u{275B}', 392), ('\u{275C}', 392), ('\u{275D}', 668), ('\u{275E}', 668), ('\u{2761}', 732), ('\u{2762}', 544),
('\u{2763}', 544), ('\u{2764}', 910), ('\u{2765}', 667), ('\u{2766}', 760), ('\u{2767}', 760), ('\u{2768}', 390),
('\u{2769}', 390), ('\u{276A}', 317), ('\u{276B}', 317), ('\u{276C}', 276), ('\u{276D}', 276), ('\u{276E}', 509),
('\u{276F}', 509), ('\u{2770}', 410), ('\u{2771}', 410), ('\u{2772}', 234), ('\u{2773}', 234), ('\u{2774}', 334),
('\u{2775}', 334), ('\u{2776}', 788), ('\u{2777}', 788), ('\u{2778}', 788), ('\u{2779}', 788), ('\u{277A}', 788),
('\u{277B}', 788), ('\u{277C}', 788), ('\u{277D}', 788), ('\u{277E}', 788), ('\u{277F}', 788), ('\u{2780}', 788),
('\u{2781}', 788), ('\u{2782}', 788), ('\u{2783}', 788), ('\u{2784}', 788), ('\u{2785}', 788), ('\u{2786}', 788),
('\u{2787}', 788), ('\u{2788}', 788), ('\u{2789}', 788), ('\u{278A}', 788), ('\u{278B}', 788), ('\u{278C}', 788),
('\u{278D}', 788), ('\u{278E}', 788), ('\u{278F}', 788), ('\u{2790}', 788), ('\u{2791}', 788), ('\u{2792}', 788),
('\u{2793}', 788), ('\u{2794}', 894), ('\u{2798}', 748), ('\u{2799}', 924), ('\u{279A}', 748), ('\u{279B}', 918),
('\u{279C}', 927), ('\u{279D}', 928), ('\u{279E}', 928), ('\u{279F}', 834), ('\u{27A0}', 873), ('\u{27A1}', 828),
('\u{27A2}', 924), ('\u{27A3}', 924), ('\u{27A4}', 917), ('\u{27A5}', 930), ('\u{27A6}', 931), ('\u{27A7}', 463),
('\u{27A8}', 883), ('\u{27A9}', 836), ('\u{27AA}', 836), ('\u{27AB}', 867), ('\u{27AC}', 867), ('\u{27AD}', 696),
('\u{27AE}', 696), ('\u{27AF}', 874), ('\u{27B1}', 874), ('\u{27B2}', 760), ('\u{27B3}', 946), ('\u{27B4}', 771),
('\u{27B5}', 865), ('\u{27B6}', 771), ('\u{27B7}', 888), ('\u{27B8}', 967), ('\u{27B9}', 888), ('\u{27BA}', 831),
('\u{27BB}', 873), ('\u{27BC}', 927), ('\u{27BD}', 970), ('\u{27BE}', 918),
];
#[rustfmt::skip]
static SYMBOL_ENCODING: &[(u8, char)] = &[
(0x20, ' '), (0x21, '!'), (0x22, '\u{2200}'), (0x23, '#'), (0x24, '\u{2203}'), (0x25, '%'),
(0x26, '&'), (0x27, '\u{220B}'), (0x28, '('), (0x29, ')'), (0x2A, '\u{2217}'), (0x2B, '+'),
(0x2C, ','), (0x2D, '\u{2212}'), (0x2E, '.'), (0x2F, '/'), (0x30, '0'), (0x31, '1'),
(0x32, '2'), (0x33, '3'), (0x34, '4'), (0x35, '5'), (0x36, '6'), (0x37, '7'),
(0x38, '8'), (0x39, '9'), (0x3A, ':'), (0x3B, ';'), (0x3C, '<'), (0x3D, '='),
(0x3E, '>'), (0x3F, '?'), (0x40, '\u{2245}'), (0x41, '\u{0391}'), (0x42, '\u{0392}'), (0x43, '\u{03A7}'),
(0x44, '\u{2206}'), (0x45, '\u{0395}'), (0x46, '\u{03A6}'), (0x47, '\u{0393}'), (0x48, '\u{0397}'), (0x49, '\u{0399}'),
(0x4A, '\u{03D1}'), (0x4B, '\u{039A}'), (0x4C, '\u{039B}'), (0x4D, '\u{039C}'), (0x4E, '\u{039D}'), (0x4F, '\u{039F}'),
(0x50, '\u{03A0}'), (0x51, '\u{0398}'), (0x52, '\u{03A1}'), (0x53, '\u{03A3}'), (0x54, '\u{03A4}'), (0x55, '\u{03A5}'),
(0x56, '\u{03C2}'), (0x57, '\u{2126}'), (0x58, '\u{039E}'), (0x59, '\u{03A8}'), (0x5A, '\u{0396}'), (0x5B, '['),
(0x5C, '\u{2234}'), (0x5D, ']'), (0x5E, '\u{22A5}'), (0x5F, '_'), (0x60, '\u{F8E5}'), (0x61, '\u{03B1}'),
(0x62, '\u{03B2}'), (0x63, '\u{03C7}'), (0x64, '\u{03B4}'), (0x65, '\u{03B5}'), (0x66, '\u{03C6}'), (0x67, '\u{03B3}'),
(0x68, '\u{03B7}'), (0x69, '\u{03B9}'), (0x6A, '\u{03D5}'), (0x6B, '\u{03BA}'), (0x6C, '\u{03BB}'), (0x6D, '\u{00B5}'),
(0x6E, '\u{03BD}'), (0x6F, '\u{03BF}'), (0x70, '\u{03C0}'), (0x71, '\u{03B8}'), (0x72, '\u{03C1}'), (0x73, '\u{03C3}'),
(0x74, '\u{03C4}'), (0x75, '\u{03C5}'), (0x76, '\u{03D6}'), (0x77, '\u{03C9}'), (0x78, '\u{03BE}'), (0x79, '\u{03C8}'),
(0x7A, '\u{03B6}'), (0x7B, '{'), (0x7C, '|'), (0x7D, '}'), (0x7E, '\u{223C}'), (0xA0, '\u{20AC}'),
(0xA1, '\u{03D2}'), (0xA2, '\u{2032}'), (0xA3, '\u{2264}'), (0xA4, '\u{2044}'), (0xA5, '\u{221E}'), (0xA6, '\u{0192}'),
(0xA7, '\u{2663}'), (0xA8, '\u{2666}'), (0xA9, '\u{2665}'), (0xAA, '\u{2660}'), (0xAB, '\u{2194}'), (0xAC, '\u{2190}'),
(0xAD, '\u{2191}'), (0xAE, '\u{2192}'), (0xAF, '\u{2193}'), (0xB0, '\u{00B0}'), (0xB1, '\u{00B1}'), (0xB2, '\u{2033}'),
(0xB3, '\u{2265}'), (0xB4, '\u{00D7}'), (0xB5, '\u{221D}'), (0xB6, '\u{2202}'), (0xB7, '\u{2022}'), (0xB8, '\u{00F7}'),
(0xB9, '\u{2260}'), (0xBA, '\u{2261}'), (0xBB, '\u{2248}'), (0xBC, '\u{2026}'), (0xBD, '\u{F8E6}'), (0xBE, '\u{F8E7}'),
(0xBF, '\u{21B5}'), (0xC0, '\u{2135}'), (0xC1, '\u{2111}'), (0xC2, '\u{211C}'), (0xC3, '\u{2118}'), (0xC4, '\u{2297}'),
(0xC5, '\u{2295}'), (0xC6, '\u{2205}'), (0xC7, '\u{2229}'), (0xC8, '\u{222A}'), (0xC9, '\u{2283}'), (0xCA, '\u{2287}'),
(0xCB, '\u{2284}'), (0xCC, '\u{2282}'), (0xCD, '\u{2286}'), (0xCE, '\u{2208}'), (0xCF, '\u{2209}'), (0xD0, '\u{2220}'),
(0xD1, '\u{2207}'), (0xD2, '\u{F6DA}'), (0xD3, '\u{F6D9}'), (0xD4, '\u{F6DB}'), (0xD5, '\u{220F}'), (0xD6, '\u{221A}'),
(0xD7, '\u{22C5}'), (0xD8, '\u{00AC}'), (0xD9, '\u{2227}'), (0xDA, '\u{2228}'), (0xDB, '\u{21D4}'), (0xDC, '\u{21D0}'),
(0xDD, '\u{21D1}'), (0xDE, '\u{21D2}'), (0xDF, '\u{21D3}'), (0xE0, '\u{25CA}'), (0xE1, '\u{2329}'), (0xE2, '\u{F8E8}'),
(0xE3, '\u{F8E9}'), (0xE4, '\u{F8EA}'), (0xE5, '\u{2211}'), (0xE6, '\u{F8EB}'), (0xE7, '\u{F8EC}'), (0xE8, '\u{F8ED}'),
(0xE9, '\u{F8EE}'), (0xEA, '\u{F8EF}'), (0xEB, '\u{F8F0}'), (0xEC, '\u{F8F1}'), (0xED, '\u{F8F2}'), (0xEE, '\u{F8F3}'),
(0xEF, '\u{F8F4}'), (0xF1, '\u{232A}'), (0xF2, '\u{222B}'), (0xF3, '\u{2320}'), (0xF4, '\u{F8F5}'), (0xF5, '\u{2321}'),
(0xF6, '\u{F8F6}'), (0xF7, '\u{F8F7}'), (0xF8, '\u{F8F8}'), (0xF9, '\u{F8F9}'), (0xFA, '\u{F8FA}'), (0xFB, '\u{F8FB}'),
(0xFC, '\u{F8FC}'), (0xFD, '\u{F8FD}'), (0xFE, '\u{F8FE}'),
];
#[rustfmt::skip]
static ZAPFDINGBATS_ENCODING: &[(u8, char)] = &[
(0x20, ' '), (0x21, '\u{2701}'), (0x22, '\u{2702}'), (0x23, '\u{2703}'), (0x24, '\u{2704}'), (0x25, '\u{260E}'),
(0x26, '\u{2706}'), (0x27, '\u{2707}'), (0x28, '\u{2708}'), (0x29, '\u{2709}'), (0x2A, '\u{261B}'), (0x2B, '\u{261E}'),
(0x2C, '\u{270C}'), (0x2D, '\u{270D}'), (0x2E, '\u{270E}'), (0x2F, '\u{270F}'), (0x30, '\u{2710}'), (0x31, '\u{2711}'),
(0x32, '\u{2712}'), (0x33, '\u{2713}'), (0x34, '\u{2714}'), (0x35, '\u{2715}'), (0x36, '\u{2716}'), (0x37, '\u{2717}'),
(0x38, '\u{2718}'), (0x39, '\u{2719}'), (0x3A, '\u{271A}'), (0x3B, '\u{271B}'), (0x3C, '\u{271C}'), (0x3D, '\u{271D}'),
(0x3E, '\u{271E}'), (0x3F, '\u{271F}'), (0x40, '\u{2720}'), (0x41, '\u{2721}'), (0x42, '\u{2722}'), (0x43, '\u{2723}'),
(0x44, '\u{2724}'), (0x45, '\u{2725}'), (0x46, '\u{2726}'), (0x47, '\u{2727}'), (0x48, '\u{2605}'), (0x49, '\u{2729}'),
(0x4A, '\u{272A}'), (0x4B, '\u{272B}'), (0x4C, '\u{272C}'), (0x4D, '\u{272D}'), (0x4E, '\u{272E}'), (0x4F, '\u{272F}'),
(0x50, '\u{2730}'), (0x51, '\u{2731}'), (0x52, '\u{2732}'), (0x53, '\u{2733}'), (0x54, '\u{2734}'), (0x55, '\u{2735}'),
(0x56, '\u{2736}'), (0x57, '\u{2737}'), (0x58, '\u{2738}'), (0x59, '\u{2739}'), (0x5A, '\u{273A}'), (0x5B, '\u{273B}'),
(0x5C, '\u{273C}'), (0x5D, '\u{273D}'), (0x5E, '\u{273E}'), (0x5F, '\u{273F}'), (0x60, '\u{2740}'), (0x61, '\u{2741}'),
(0x62, '\u{2742}'), (0x63, '\u{2743}'), (0x64, '\u{2744}'), (0x65, '\u{2745}'), (0x66, '\u{2746}'), (0x67, '\u{2747}'),
(0x68, '\u{2748}'), (0x69, '\u{2749}'), (0x6A, '\u{274A}'), (0x6B, '\u{274B}'), (0x6C, '\u{25CF}'), (0x6D, '\u{274D}'),
(0x6E, '\u{25A0}'), (0x6F, '\u{274F}'), (0x70, '\u{2750}'), (0x71, '\u{2751}'), (0x72, '\u{2752}'), (0x73, '\u{25B2}'),
(0x74, '\u{25BC}'), (0x75, '\u{25C6}'), (0x76, '\u{2756}'), (0x77, '\u{25D7}'), (0x78, '\u{2758}'), (0x79, '\u{2759}'),
(0x7A, '\u{275A}'), (0x7B, '\u{275B}'), (0x7C, '\u{275C}'), (0x7D, '\u{275D}'), (0x7E, '\u{275E}'), (0x80, '\u{2768}'),
(0x81, '\u{2769}'), (0x82, '\u{276A}'), (0x83, '\u{276B}'), (0x84, '\u{276C}'), (0x85, '\u{276D}'), (0x86, '\u{276E}'),
(0x87, '\u{276F}'), (0x88, '\u{2770}'), (0x89, '\u{2771}'), (0x8A, '\u{2772}'), (0x8B, '\u{2773}'), (0x8C, '\u{2774}'),
(0x8D, '\u{2775}'), (0xA1, '\u{2761}'), (0xA2, '\u{2762}'), (0xA3, '\u{2763}'), (0xA4, '\u{2764}'), (0xA5, '\u{2765}'),
(0xA6, '\u{2766}'), (0xA7, '\u{2767}'), (0xA8, '\u{2663}'), (0xA9, '\u{2666}'), (0xAA, '\u{2665}'), (0xAB, '\u{2660}'),
(0xAC, '\u{2460}'), (0xAD, '\u{2461}'), (0xAE, '\u{2462}'), (0xAF, '\u{2463}'), (0xB0, '\u{2464}'), (0xB1, '\u{2465}'),
(0xB2, '\u{2466}'), (0xB3, '\u{2467}'), (0xB4, '\u{2468}'), (0xB5, '\u{2469}'), (0xB6, '\u{2776}'), (0xB7, '\u{2777}'),
(0xB8, '\u{2778}'), (0xB9, '\u{2779}'), (0xBA, '\u{277A}'), (0xBB, '\u{277B}'), (0xBC, '\u{277C}'), (0xBD, '\u{277D}'),
(0xBE, '\u{277E}'), (0xBF, '\u{277F}'), (0xC0, '\u{2780}'), (0xC1, '\u{2781}'), (0xC2, '\u{2782}'), (0xC3, '\u{2783}'),
(0xC4, '\u{2784}'), (0xC5, '\u{2785}'), (0xC6, '\u{2786}'), (0xC7, '\u{2787}'), (0xC8, '\u{2788}'), (0xC9, '\u{2789}'),
(0xCA, '\u{278A}'), (0xCB, '\u{278B}'), (0xCC, '\u{278C}'), (0xCD, '\u{278D}'), (0xCE, '\u{278E}'), (0xCF, '\u{278F}'),
(0xD0, '\u{2790}'), (0xD1, '\u{2791}'), (0xD2, '\u{2792}'), (0xD3, '\u{2793}'), (0xD4, '\u{2794}'), (0xD5, '\u{2192}'),
(0xD6, '\u{2194}'), (0xD7, '\u{2195}'), (0xD8, '\u{2798}'), (0xD9, '\u{2799}'), (0xDA, '\u{279A}'), (0xDB, '\u{279B}'),
(0xDC, '\u{279C}'), (0xDD, '\u{279D}'), (0xDE, '\u{279E}'), (0xDF, '\u{279F}'), (0xE0, '\u{27A0}'), (0xE1, '\u{27A1}'),
(0xE2, '\u{27A2}'), (0xE3, '\u{27A3}'), (0xE4, '\u{27A4}'), (0xE5, '\u{27A5}'), (0xE6, '\u{27A6}'), (0xE7, '\u{27A7}'),
(0xE8, '\u{27A8}'), (0xE9, '\u{27A9}'), (0xEA, '\u{27AA}'), (0xEB, '\u{27AB}'), (0xEC, '\u{27AC}'), (0xED, '\u{27AD}'),
(0xEE, '\u{27AE}'), (0xEF, '\u{27AF}'), (0xF1, '\u{27B1}'), (0xF2, '\u{27B2}'), (0xF3, '\u{27B3}'), (0xF4, '\u{27B4}'),
(0xF5, '\u{27B5}'), (0xF6, '\u{27B6}'), (0xF7, '\u{27B7}'), (0xF8, '\u{27B8}'), (0xF9, '\u{27B9}'), (0xFA, '\u{27BA}'),
(0xFB, '\u{27BB}'), (0xFC, '\u{27BC}'), (0xFD, '\u{27BD}'), (0xFE, '\u{27BE}'),
];
/// Every width table, for exhaustive testing.
#[cfg(test)]
static ALL_TABLES: &[(&str, &[(char, u16)])] = &[
("COURIER", COURIER),
("COURIER_BOLD", COURIER_BOLD),
("COURIER_OBLIQUE", COURIER_OBLIQUE),
("COURIER_BOLDOBLIQUE", COURIER_BOLDOBLIQUE),
("HELVETICA", HELVETICA),
("HELVETICA_BOLD", HELVETICA_BOLD),
("HELVETICA_OBLIQUE", HELVETICA_OBLIQUE),
("HELVETICA_BOLDOBLIQUE", HELVETICA_BOLDOBLIQUE),
("TIMES_ROMAN", TIMES_ROMAN),
("TIMES_BOLD", TIMES_BOLD),
("TIMES_ITALIC", TIMES_ITALIC),
("TIMES_BOLDITALIC", TIMES_BOLDITALIC),
("SYMBOL", SYMBOL),
("ZAPFDINGBATS", ZAPFDINGBATS),
];
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn times_roman_ascii_widths() {
assert_eq!(base14_char_width("Times-Roman", ' '), Some(250));
assert_eq!(base14_char_width("Times-Roman", 'M'), Some(889));
assert_eq!(base14_char_width("Times-Roman", 'i'), Some(278));
}
#[test]
fn subset_prefix_and_aliases_normalize() {
assert_eq!(
base14_char_width("ABCDEF+Times-Bold", ' '),
base14_char_width("Times-Bold", ' ')
);
assert!(base14_char_width("ArialMT", 'a').is_some());
assert!(base14_char_width("TimesNewRomanPSMT", 'a').is_some());
}
#[test]
fn non_base14_returns_none() {
assert_eq!(base14_char_width("DejaVuSans", 'a'), None);
assert!(!is_base14_font("Garamond"));
}
#[test]
fn builtin_encoding_resolves_symbol_and_zapf_codes() {
// Symbol 0x61 renders alpha; Zapf 0x21 renders U+2701.
assert_eq!(builtin_encoding_char("Symbol", 0x61), Some('\u{03B1}'));
assert_eq!(builtin_encoding_char("Symbol", 0xA5), Some('\u{221E}'));
assert_eq!(
builtin_encoding_char("ZapfDingbats", 0x21),
Some('\u{2701}')
);
// Latin text fonts follow standard encodings — no builtin override.
assert_eq!(builtin_encoding_char("Times-Roman", 0x61), None);
// The resolved chars have real AFM widths.
let alpha_w = base14_char_width("Symbol", '\u{03B1}');
assert!(alpha_w.is_some() && alpha_w != Some(500));
}
#[test]
fn encoding_tables_are_sorted_for_binary_search() {
for table in [SYMBOL_ENCODING, ZAPFDINGBATS_ENCODING] {
assert!(table.windows(2).all(|w| w[0].0 < w[1].0));
}
}
#[test]
fn tables_are_sorted_for_binary_search() {
// Every table is queried by binary search, so all of them must be
// sorted — not just a sample.
for (name, table) in ALL_TABLES {
assert!(
table.windows(2).all(|w| w[0].0 < w[1].0),
"{name} is not sorted"
);
}
}
}
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@@ -78,6 +78,8 @@ pub fn extract_page_links(doc: &Document, page_id: ObjectId, page_num: u32) -> V
page: page_num,
is_bold: false,
is_italic: false,
is_underline: false,
is_strikeout: false,
item_type: ItemType::Link(url),
mcid: None,
});
@@ -151,16 +153,54 @@ pub(crate) fn extract_form_fields(
},
Err(_) => return items,
};
if fields.is_empty() {
return items;
}
let annotation_pages = annotation_page_map(doc, page_map);
for field_obj in &fields {
if let Ok(field_ref) = field_obj.as_reference() {
walk_form_fields(doc, field_ref, None, "", page_map, &mut items);
walk_form_fields(
doc,
field_ref,
None,
"",
page_map,
&annotation_pages,
&mut items,
);
}
}
items
}
/// Map widget annotation objects back to the page whose `/Annots` array owns
/// them. Some valid widgets omit `/P`, so the page tree is the only reliable
/// ownership signal available for page-filtered extraction.
fn annotation_page_map(
doc: &Document,
page_map: &HashMap<ObjectId, u32>,
) -> HashMap<ObjectId, u32> {
let mut annotation_pages = HashMap::new();
for (&page_id, &page_num) in page_map {
let Some(annotations) = doc
.get_dictionary(page_id)
.ok()
.and_then(|page| page.get(b"Annots").ok())
.and_then(|annotations| resolve_array(doc, annotations))
else {
continue;
};
for annotation in annotations {
if let Ok(annotation_id) = annotation.as_reference() {
annotation_pages.insert(annotation_id, page_num);
}
}
}
annotation_pages
}
/// Recursively walk the form field tree, extracting leaf field values.
pub(crate) fn walk_form_fields(
doc: &Document,
@@ -168,6 +208,7 @@ pub(crate) fn walk_form_fields(
parent_ft: Option<&[u8]>,
parent_name: &str,
page_map: &HashMap<ObjectId, u32>,
annotation_pages: &HashMap<ObjectId, u32>,
items: &mut Vec<TextItem>,
) {
let field_dict = match doc.get_dictionary(field_id) {
@@ -204,7 +245,15 @@ pub(crate) fn walk_form_fields(
let kids = kids.clone();
for kid in &kids {
if let Ok(kid_ref) = kid.as_reference() {
walk_form_fields(doc, kid_ref, ft, &full_name, page_map, items);
walk_form_fields(
doc,
kid_ref,
ft,
&full_name,
page_map,
annotation_pages,
items,
);
}
}
return;
@@ -297,6 +346,7 @@ pub(crate) fn walk_form_fields(
.ok()
.and_then(|o| o.as_reference().ok())
.and_then(|p| page_map.get(&p).copied())
.or_else(|| annotation_pages.get(&field_id).copied())
.unwrap_or(1);
let text = if full_name.is_empty() {
@@ -316,7 +366,49 @@ pub(crate) fn walk_form_fields(
page: page_num,
is_bold: false,
is_italic: false,
is_underline: false,
is_strikeout: false,
item_type: ItemType::FormField,
mcid: None,
});
}
#[cfg(test)]
mod tests {
use super::*;
use lopdf::{dictionary, Object};
#[test]
fn widget_without_page_reference_uses_owning_page_annotation() {
let mut doc = Document::new();
let widget_id = doc.add_object(dictionary! {
"Type" => "Annot",
"Subtype" => "Widget",
"FT" => "Tx",
"T" => Object::string_literal("customer"),
"V" => Object::string_literal("Alice"),
"Rect" => vec![10.into(), 20.into(), 110.into(), 40.into()],
});
let page_one_id = doc.add_object(dictionary! {
"Type" => "Page",
});
let page_two_id = doc.add_object(dictionary! {
"Type" => "Page",
"Annots" => vec![Object::Reference(widget_id)],
});
let catalog_id = doc.add_object(dictionary! {
"Type" => "Catalog",
"AcroForm" => dictionary! {
"Fields" => vec![Object::Reference(widget_id)],
},
});
doc.trailer.set("Root", Object::Reference(catalog_id));
let page_map = HashMap::from([(page_one_id, 1), (page_two_id, 2)]);
let items = extract_form_fields(&doc, &page_map);
assert_eq!(items.len(), 1);
assert_eq!(items[0].page, 2);
assert_eq!(items[0].text, "customer: Alice");
}
}
+1845 -62
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+591
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@@ -0,0 +1,591 @@
//! Region-graph evidence for page reading order.
//!
//! Whole-page column histograms fail when images or spanning captions occupy
//! only part of a page. This module turns image geometry and repeated row
//! gutters into a small directed acyclic graph: content above a local column
//! band, the left flow, the right flow, and content below it. The graph is
//! deliberately evidence-gated; ordinary pages keep the established layout
//! path.
use crate::text_utils::{effective_width, is_cjk_char, is_rtl_text};
use crate::types::TextItem;
const MIN_IMAGE_WIDTH: f32 = 60.0;
const MIN_IMAGE_HEIGHT: f32 = 40.0;
const MIN_ROW_GUTTER: f32 = 8.0;
const SPLIT_CLUSTER_TOLERANCE: f32 = 20.0;
const MIN_ALIGNED_ROWS: usize = 4;
pub(crate) type ImageRegion = (f32, f32, f32, f32);
#[derive(Debug, Clone, Copy, PartialEq)]
pub(crate) struct ColumnFlowBand {
pub(crate) split_x: f32,
pub(crate) y_bottom: f32,
pub(crate) y_top: f32,
}
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub(crate) enum RegionKind {
FullWidth,
Column,
}
#[derive(Debug)]
pub(crate) struct RegionNode {
pub(crate) kind: RegionKind,
pub(crate) items: Vec<TextItem>,
}
#[derive(Debug)]
struct Row<'a> {
y: f32,
items: Vec<&'a TextItem>,
}
fn page_x_bounds(items: &[TextItem], images: &[ImageRegion]) -> Option<(f32, f32)> {
let text_min = items
.iter()
.map(|item| item.x)
.fold(f32::INFINITY, f32::min);
let text_max = items
.iter()
.map(|item| item.x + effective_width(item))
.fold(f32::NEG_INFINITY, f32::max);
let image_min = images
.iter()
.map(|region| region.0.min(region.2))
.fold(f32::INFINITY, f32::min);
let image_max = images
.iter()
.map(|region| region.0.max(region.2))
.fold(f32::NEG_INFINITY, f32::max);
let x_min = text_min.min(image_min);
let x_max = text_max.max(image_max);
(x_min.is_finite() && x_max.is_finite() && x_max > x_min).then_some((x_min, x_max))
}
fn group_rows(items: &[TextItem]) -> Vec<Row<'_>> {
const Y_TOLERANCE: f32 = 3.0;
let mut sorted: Vec<&TextItem> = items.iter().collect();
sorted.sort_by(|left, right| right.y.total_cmp(&left.y));
let mut rows: Vec<Row<'_>> = Vec::new();
for item in sorted {
if let Some(row) = rows
.last_mut()
.filter(|row| (row.y - item.y).abs() <= Y_TOLERANCE)
{
row.items.push(item);
row.y = row.items.iter().map(|member| member.y).sum::<f32>() / row.items.len() as f32;
} else {
rows.push(Row {
y: item.y,
items: vec![item],
});
}
}
for row in &mut rows {
row.items.sort_by(|left, right| left.x.total_cmp(&right.x));
}
rows
}
fn side_is_prose(items: &[&TextItem]) -> bool {
let text = items
.iter()
.map(|item| item.text.trim())
.collect::<Vec<_>>()
.join(" ");
let alphabetic_count = text
.chars()
.filter(|character| character.is_alphabetic())
.count();
let cjk_count = text
.chars()
.filter(|character| is_cjk_char(*character))
.count();
(text.split_whitespace().count() >= 3 || cjk_count >= 10) && alphabetic_count >= 10
}
fn aligned_row_split(row: &Row<'_>, x_min: f32, x_max: f32) -> Option<f32> {
if row.items.len() < 2 {
return None;
}
let page_width = x_max - x_min;
let center_low = x_min + page_width * 0.25;
let center_high = x_min + page_width * 0.75;
row.items
.windows(2)
.filter_map(|pair| {
let left_end = pair[0].x + effective_width(pair[0]);
let right_start = pair[1].x;
let gap = right_start - left_end;
let split_x = (left_end + right_start) / 2.0;
if gap < MIN_ROW_GUTTER || split_x < center_low || split_x > center_high {
return None;
}
let left: Vec<&TextItem> = row
.items
.iter()
.copied()
.filter(|item| item.x + effective_width(item) / 2.0 < split_x)
.collect();
let right: Vec<&TextItem> = row
.items
.iter()
.copied()
.filter(|item| item.x + effective_width(item) / 2.0 >= split_x)
.collect();
(side_is_prose(&left) && side_is_prose(&right)).then_some((split_x, gap))
})
.max_by(|left, right| left.1.total_cmp(&right.1))
.map(|candidate| candidate.0)
}
fn local_flow_below_full_width_image(
items: &[TextItem],
images: &[ImageRegion],
x_min: f32,
x_max: f32,
) -> Option<ColumnFlowBand> {
let page_width = x_max - x_min;
let full_width_images: Vec<ImageRegion> = images
.iter()
.copied()
.filter(|&(x0, y0, x1, y1)| {
let width = (x1 - x0).abs();
let height = (y1 - y0).abs();
width >= page_width * 0.65 && height >= 60.0
})
.collect();
// A local column flow below an image is only unambiguous for a single,
// nearly square hero/figure. Wide report banners and full-page artwork
// frequently sit above unrelated page furniture whose aligned labels can
// mimic prose columns.
if full_width_images.len() != 1 {
return None;
}
let (image_x0, _, image_x1, _) = full_width_images[0];
let anchor_width = (image_x1 - image_x0).abs();
let anchor_height = (full_width_images[0].3 - full_width_images[0].1).abs();
if anchor_width < page_width * 0.85
|| anchor_height < anchor_width * 0.85
|| anchor_height > anchor_width * 1.2
{
return None;
}
let image_bottom = full_width_images
.iter()
.map(|&(_, y0, _, y1)| y0.min(y1))
.fold(f32::NEG_INFINITY, f32::max);
if !image_bottom.is_finite() {
return None;
}
let below: Vec<TextItem> = items
.iter()
.filter(|item| item.y < image_bottom && item.y >= image_bottom - 220.0)
.cloned()
.collect();
let candidates: Vec<(f32, f32)> = group_rows(&below)
.into_iter()
.filter_map(|row| aligned_row_split(&row, x_min, x_max).map(|split| (split, row.y)))
.collect();
if candidates.len() < MIN_ALIGNED_ROWS {
return None;
}
let mut clusters: Vec<Vec<(f32, f32)>> = Vec::new();
for candidate in candidates {
if let Some(cluster) = clusters.iter_mut().find(|cluster| {
let mean = cluster.iter().map(|entry| entry.0).sum::<f32>() / cluster.len() as f32;
(mean - candidate.0).abs() <= SPLIT_CLUSTER_TOLERANCE
}) {
cluster.push(candidate);
} else {
clusters.push(vec![candidate]);
}
}
let dominant = clusters.into_iter().max_by_key(Vec::len)?;
if dominant.len() < MIN_ALIGNED_ROWS {
return None;
}
let split_x = dominant.iter().map(|entry| entry.0).sum::<f32>() / dominant.len() as f32;
let y_top = dominant
.iter()
.map(|entry| entry.1)
.fold(f32::NEG_INFINITY, f32::max)
+ 3.0;
let image_gap = image_bottom - y_top;
if !(60.0..=120.0).contains(&image_gap) {
return None;
}
let y_bottom = dominant
.iter()
.map(|entry| entry.1)
.fold(f32::INFINITY, f32::min)
- 3.0;
if y_top - y_bottom > 130.0 {
return None;
}
log::debug!(
"page {}: full-width image flow images={} aligned_rows={} split={:.1} page=[{:.1}..{:.1}] image_bottom={:.1} y=[{:.1}..{:.1}] full_width={:?}",
items.first().map_or(0, |item| item.page),
images.len(),
dominant.len(),
split_x,
x_min,
x_max,
image_bottom,
y_bottom,
y_top,
full_width_images
);
Some(ColumnFlowBand {
split_x,
y_bottom,
y_top,
})
}
fn paired_column_images(
items: &[TextItem],
images: &[ImageRegion],
split_x: f32,
x_min: f32,
x_max: f32,
) -> Option<ColumnFlowBand> {
let page_width = x_max - x_min;
if split_x < x_min + page_width * 0.4 || split_x > x_min + page_width * 0.6 {
return None;
}
let qualifying: Vec<ImageRegion> = images
.iter()
.copied()
.filter(|&(x0, y0, x1, y1)| {
let image_left = x0.min(x1);
let image_right = x0.max(x1);
let confined_to_one_column = image_right <= split_x || image_left >= split_x;
confined_to_one_column
&& (x1 - x0).abs() >= MIN_IMAGE_WIDTH
&& (y1 - y0).abs() >= MIN_IMAGE_HEIGHT
})
.collect();
let wide_images: Vec<ImageRegion> = qualifying
.iter()
.copied()
.filter(|(x0, _, x1, _)| (x1 - x0).abs() >= page_width * 0.35)
.collect();
if qualifying.len() < 3 || wide_images.len() < 3 {
return None;
}
let has_left = qualifying
.iter()
.any(|&(x0, _, x1, _)| (x0 + x1) / 2.0 < split_x);
let has_right = qualifying
.iter()
.any(|&(x0, _, x1, _)| (x0 + x1) / 2.0 >= split_x);
if !has_left || !has_right {
return None;
}
// A meaningful image-backed column flow spans multiple vertical panels.
// Three same-row header/logo images can otherwise satisfy the image count
// and send an ordinary asymmetric page through sequential column order.
let image_y_min = wide_images
.iter()
.map(|region| region.1.min(region.3))
.fold(f32::INFINITY, f32::min);
let image_y_max = wide_images
.iter()
.map(|region| region.1.max(region.3))
.fold(f32::NEG_INFINITY, f32::max);
let has_vertical_stack = wide_images.iter().enumerate().any(|(index, left)| {
wide_images.iter().skip(index + 1).any(|right| {
let same_side =
((left.0 + left.2) / 2.0 < split_x) == ((right.0 + right.2) / 2.0 < split_x);
let left_center = (left.1 + left.3) / 2.0;
let right_center = (right.1 + right.3) / 2.0;
let left_height = (left.3 - left.1).abs();
let right_height = (right.3 - right.1).abs();
let vertical_gap = if left.1.max(left.3) < right.1.min(right.3) {
right.1.min(right.3) - left.1.max(left.3)
} else if right.1.max(right.3) < left.1.min(left.3) {
left.1.min(left.3) - right.1.max(right.3)
} else {
0.0
};
same_side
&& (left_center - right_center).abs() >= left_height.min(right_height) * 0.5
&& vertical_gap <= left_height.max(right_height) * 0.5
})
});
if image_y_max - image_y_min < page_width * 0.45 || !has_vertical_stack {
return None;
}
let y_top = qualifying
.iter()
.map(|region| region.1.max(region.3))
.fold(f32::NEG_INFINITY, f32::max)
+ 3.0;
// Only column-confined text proves the lower extent of the flow. A
// spanning heading or caption below the columns must become the trailing
// full-width node rather than stretching the column band to the page foot.
let y_bottom = items
.iter()
.filter(|item| {
let item_right = item.x + effective_width(item);
item.y <= y_top && (item_right <= split_x || item.x >= split_x)
})
.map(|item| item.y)
.fold(f32::INFINITY, f32::min)
- 3.0;
if !y_bottom.is_finite() {
return None;
}
let distinct_rows = |right: bool| {
let mut ys: Vec<f32> = items
.iter()
.filter(|item| {
item.y <= y_top && (item.x + effective_width(item) / 2.0 >= split_x) == right
})
.map(|item| item.y)
.collect();
ys.sort_by(|left, right| left.total_cmp(right));
ys.dedup_by(|left, right| (*left - *right).abs() <= 3.0);
ys.len()
};
let left_rows = distinct_rows(false);
let right_rows = distinct_rows(true);
let line_balance = left_rows.min(right_rows) as f32 / left_rows.max(right_rows).max(1) as f32;
(left_rows >= 5 && right_rows >= 5 && line_balance < 0.55).then(|| {
log::debug!(
"page {}: paired-image flow qualifying_images={} rows={}/{} split={:.1} page=[{:.1}..{:.1}] y=[{:.1}..{:.1}] images={:?}",
items.first().map_or(0, |item| item.page),
qualifying.len(),
left_rows,
right_rows,
split_x,
x_min,
x_max,
y_bottom,
y_top,
qualifying
);
ColumnFlowBand {
split_x,
y_bottom,
y_top,
}
})
}
pub(crate) fn infer_image_anchored_flow(
items: &[TextItem],
images: &[ImageRegion],
detected_split: Option<f32>,
) -> Option<ColumnFlowBand> {
if items.is_empty() || images.is_empty() {
return None;
}
let (x_min, x_max) = page_x_bounds(items, images)?;
detected_split
.and_then(|split_x| paired_column_images(items, images, split_x, x_min, x_max))
.or_else(|| local_flow_below_full_width_image(items, images, x_min, x_max))
}
/// Partition a page into the topological order `above -> left -> right -> below`.
/// These edges encode the reading-order DAG; empty nodes are omitted.
pub(crate) fn build_region_graph(items: Vec<TextItem>, band: ColumnFlowBand) -> Vec<RegionNode> {
let mut above = Vec::new();
let mut left = Vec::new();
let mut right = Vec::new();
let mut below = Vec::new();
for item in items {
if item.y > band.y_top {
above.push(item);
} else if item.y < band.y_bottom {
below.push(item);
} else if item.x + effective_width(&item) / 2.0 < band.split_x {
left.push(item);
} else {
right.push(item);
}
}
let rtl = is_rtl_text(left.iter().chain(right.iter()).map(|item| &item.text));
let mut ordered = vec![(RegionKind::FullWidth, above)];
if rtl {
ordered.push((RegionKind::Column, right));
ordered.push((RegionKind::Column, left));
} else {
ordered.push((RegionKind::Column, left));
ordered.push((RegionKind::Column, right));
}
ordered.push((RegionKind::FullWidth, below));
ordered
.into_iter()
.filter_map(|(kind, items)| (!items.is_empty()).then_some(RegionNode { kind, items }))
.collect()
}
#[cfg(test)]
mod tests {
use super::*;
use crate::types::ItemType;
fn item(text: &str, x: f32, y: f32, width: f32) -> TextItem {
TextItem {
text: text.into(),
x,
y,
width,
height: 11.0,
font: "F1".into(),
font_size: 11.0,
page: 1,
is_bold: false,
is_italic: false,
is_underline: false,
is_strikeout: false,
item_type: ItemType::Text,
mcid: None,
}
}
#[test]
fn full_width_image_anchors_local_two_column_flow() {
let mut items = vec![
item("A full width caption", 55.0, 230.0, 430.0),
item("A trailing full width heading", 55.0, 80.0, 430.0),
];
for index in 0..5 {
let y = 170.0 - index as f32 * 14.0;
items.push(item("left column prose words", 55.0, y, 210.0));
items.push(item("right column prose words", 280.0, y, 210.0));
}
let images = vec![(55.0, 250.0, 490.0, 680.0)];
let band = infer_image_anchored_flow(&items, &images, None).unwrap();
assert!((band.split_x - 272.5).abs() < 2.0);
let graph = build_region_graph(items, band);
assert_eq!(graph.len(), 4);
assert_eq!(graph[0].kind, RegionKind::FullWidth);
assert_eq!(graph[1].kind, RegionKind::Column);
assert_eq!(graph[2].kind, RegionKind::Column);
assert_eq!(graph[3].kind, RegionKind::FullWidth);
assert_eq!(graph[3].items[0].text, "A trailing full width heading");
}
#[test]
fn full_width_image_anchors_cjk_column_flow() {
let mut items = Vec::new();
for index in 0..5 {
let y = 170.0 - index as f32 * 14.0;
items.push(item("左栏这是没有空格的正文内容", 55.0, y, 210.0));
items.push(item("右栏这是没有空格的正文内容", 280.0, y, 210.0));
}
let images = vec![(55.0, 250.0, 490.0, 680.0)];
assert!(infer_image_anchored_flow(&items, &images, None).is_some());
}
#[test]
fn paired_images_anchor_unbalanced_column_flows() {
let mut items = vec![
item("running header", 55.0, 700.0, 430.0),
item("trailing full width caption", 55.0, 300.0, 430.0),
];
for index in 0..5 {
items.push(item(
"left prose words",
55.0,
500.0 - index as f32 * 14.0,
200.0,
));
items.push(item(
"right prose words",
280.0,
520.0 - index as f32 * 14.0,
200.0,
));
}
for index in 5..12 {
items.push(item(
"right continuation prose words",
280.0,
520.0 - index as f32 * 14.0,
200.0,
));
}
let images = vec![
(55.0, 530.0, 255.0, 680.0),
(55.0, 380.0, 255.0, 530.0),
(280.0, 560.0, 490.0, 680.0),
];
let band = infer_image_anchored_flow(&items, &images, Some(270.0)).unwrap();
let graph = build_region_graph(items, band);
assert_eq!(graph[0].kind, RegionKind::FullWidth);
assert_eq!(graph[1].kind, RegionKind::Column);
assert_eq!(graph[2].kind, RegionKind::Column);
assert_eq!(graph[3].kind, RegionKind::FullWidth);
assert_eq!(graph[3].items[0].text, "trailing full width caption");
}
#[test]
fn rtl_region_graph_reads_right_column_first() {
let items = vec![
item("A long English report header", 55.0, 250.0, 430.0),
item("نص العمود الأيسر", 55.0, 150.0, 180.0),
item("نص العمود الأيمن", 300.0, 150.0, 180.0),
];
let graph = build_region_graph(
items,
ColumnFlowBand {
split_x: 270.0,
y_bottom: 100.0,
y_top: 200.0,
},
);
assert_eq!(graph.len(), 3);
assert_eq!(graph[0].kind, RegionKind::FullWidth);
assert!(graph[1].items[0].x > graph[2].items[0].x);
}
#[test]
fn paired_header_logos_do_not_anchor_page_columns() {
let mut items = Vec::new();
for index in 0..7 {
items.push(item(
"left prose words",
55.0,
700.0 - index as f32 * 14.0,
200.0,
));
}
for index in 0..30 {
items.push(item(
"right prose words",
280.0,
700.0 - index as f32 * 14.0,
200.0,
));
}
let images = vec![
(55.0, 720.0, 205.0, 770.0),
(60.0, 718.0, 210.0, 768.0),
(280.0, 720.0, 450.0, 770.0),
];
assert!(infer_image_anchored_flow(&items, &images, Some(270.0)).is_none());
}
#[test]
fn wide_banner_does_not_anchor_local_columns() {
let mut items = Vec::new();
for index in 0..7 {
let y = 270.0 - index as f32 * 14.0;
items.push(item("left column prose words", 55.0, y, 210.0));
items.push(item("right column prose words", 280.0, y, 210.0));
}
let images = vec![(55.0, 310.0, 490.0, 550.0)];
assert!(infer_image_anchored_flow(&items, &images, None).is_none());
}
}
File diff suppressed because it is too large Load Diff
+77 -22
View File
@@ -1,5 +1,6 @@
//! Form XObject and image XObject extraction.
use super::fonts::descriptor_style_flags;
use crate::text_utils::{effective_font_size, expand_ligatures, is_bold_font, is_italic_font};
use crate::tounicode::FontCMaps;
use crate::types::{ItemType, TextItem};
@@ -7,10 +8,11 @@ use lopdf::{Document, Encoding, Object, ObjectId};
use std::collections::HashMap;
use super::fonts::{
build_font_encodings, build_font_widths, compute_string_width_ts, extract_text_from_operand,
get_font_file2_obj_num, get_operand_bytes, CMapDecisionCache,
build_font_encodings, build_font_widths, build_type3_scales, compute_string_width_ts,
extract_text_from_operand, get_font_file2_obj_num, get_operand_bytes, CMapDecisionCache,
FontStyleCache,
};
use super::{get_number, multiply_matrices};
use super::{get_number, image_bbox_from_ctm, multiply_matrices};
const MAX_FORM_XOBJECT_DEPTH: u8 = 5;
@@ -114,6 +116,7 @@ pub(crate) fn extract_form_xobject_text(
font_cmaps: &FontCMaps,
parent_ctm: &[f32; 6],
cmap_decisions: &mut CMapDecisionCache,
style_cache: &mut FontStyleCache,
) -> Vec<TextItem> {
extract_form_xobject_text_inner(
doc,
@@ -122,10 +125,12 @@ pub(crate) fn extract_form_xobject_text(
font_cmaps,
parent_ctm,
cmap_decisions,
style_cache,
0,
)
}
#[allow(clippy::too_many_arguments)]
fn extract_form_xobject_text_inner(
doc: &Document,
form_id: ObjectId,
@@ -133,6 +138,7 @@ fn extract_form_xobject_text_inner(
font_cmaps: &FontCMaps,
parent_ctm: &[f32; 6],
cmap_decisions: &mut CMapDecisionCache,
style_cache: &mut FontStyleCache,
depth: u8,
) -> Vec<TextItem> {
use lopdf::content::Content;
@@ -157,16 +163,18 @@ fn extract_form_xobject_text_inner(
// Get fonts from the Form's Resources
let form_fonts = get_form_fonts(doc, &stream.dict);
let (font_encodings, _has_gid_fonts) = build_font_encodings(doc, &form_fonts);
let (font_encodings, _has_gid_fonts) = build_font_encodings(doc, &form_fonts, font_cmaps);
// Build font width info for the form
let font_widths = build_font_widths(doc, &form_fonts);
let type3_scales = build_type3_scales(doc, &form_fonts);
// Build font base names and ToUnicode refs for the form
let mut font_base_names: HashMap<String, String> = HashMap::new();
let mut font_tounicode_refs: HashMap<String, u32> = HashMap::new();
let mut inline_cmaps: HashMap<String, crate::tounicode::CMapEntry> = HashMap::new();
let mut font_style_flags: HashMap<String, (bool, bool)> = HashMap::new();
for (font_name, font_dict) in &form_fonts {
let resource_name = String::from_utf8_lossy(font_name).to_string();
if let Ok(base_font) = font_dict.get(b"BaseFont") {
@@ -175,6 +183,10 @@ fn extract_form_xobject_text_inner(
font_base_names.insert(resource_name.clone(), base_name);
}
}
let style = descriptor_style_flags(doc, font_dict, style_cache);
if style != (false, false) {
font_style_flags.insert(resource_name.clone(), style);
}
match font_dict.get(b"ToUnicode") {
Ok(tounicode) => {
if let Ok(obj_ref) = tounicode.as_reference() {
@@ -262,19 +274,46 @@ fn extract_form_xobject_text_inner(
if !op.operands.is_empty() {
if let Ok(name) = op.operands[0].as_name() {
let xobj_name = String::from_utf8_lossy(name).to_string();
if let Some(XObjectType::Form(nested_id)) = form_xobjects.get(&xobj_name) {
if depth < MAX_FORM_XOBJECT_DEPTH {
let nested_items = extract_form_xobject_text_inner(
doc,
*nested_id,
page_num,
font_cmaps,
&ctm,
cmap_decisions,
depth + 1,
);
items.extend(nested_items);
match form_xobjects.get(&xobj_name) {
Some(XObjectType::Form(nested_id)) => {
if depth < MAX_FORM_XOBJECT_DEPTH {
let nested_items = extract_form_xobject_text_inner(
doc,
*nested_id,
page_num,
font_cmaps,
&ctm,
cmap_decisions,
style_cache,
depth + 1,
);
items.extend(nested_items);
}
}
Some(XObjectType::Image) => {
// Mirror the top-level Image-XObject emission
// in content_stream.rs so figures embedded
// inside Form XObjects (common in print-to-PDF
// workflows) aren't silently dropped.
let (x, y, width, height) = image_bbox_from_ctm(&ctm);
items.push(TextItem {
text: format!("[Image: {}]", xobj_name),
x,
y,
width,
height,
font: String::new(),
font_size: 0.0,
page: page_num,
is_bold: false,
is_italic: false,
is_underline: false,
is_strikeout: false,
item_type: ItemType::Image,
mcid: None,
});
}
None => {}
}
}
}
@@ -373,9 +412,11 @@ fn extract_form_xobject_text_inner(
&font_encodings,
&encoding_cache,
cmap_decisions,
&font_widths,
) {
let combined = multiply_matrices(&text_matrix, &ctm);
let rendered_size = effective_font_size(current_font_size, &combined);
let rendered_size = effective_font_size(current_font_size, &combined)
* type3_scales.get(&current_font).copied().unwrap_or(1.0);
let (x, y) = (combined[4], combined[5]);
let width = if let Some(font_info) = font_widths.get(&current_font) {
if let Some(raw_bytes) = get_operand_bytes(&op.operands[0]) {
@@ -402,6 +443,10 @@ fn extract_form_xobject_text_inner(
.get(&current_font)
.map(|s| s.as_str())
.unwrap_or(&current_font);
let (desc_italic, desc_bold) = font_style_flags
.get(&current_font)
.copied()
.unwrap_or((false, false));
items.push(TextItem {
text: expand_ligatures(&text),
x,
@@ -411,8 +456,10 @@ fn extract_form_xobject_text_inner(
font: current_font.clone(),
font_size: rendered_size,
page: page_num,
is_bold: is_bold_font(base_font),
is_italic: is_italic_font(base_font),
is_bold: is_bold_font(base_font) || desc_bold,
is_italic: is_italic_font(base_font) || desc_italic,
is_underline: false,
is_strikeout: false,
item_type: ItemType::Text,
mcid: None,
});
@@ -517,6 +564,7 @@ fn extract_form_xobject_text_inner(
&font_encodings,
&encoding_cache,
cmap_decisions,
&font_widths,
) {
current_text.push_str(&text);
}
@@ -527,11 +575,16 @@ fn extract_form_xobject_text_inner(
}
if !sub_items.is_empty() {
let combined = multiply_matrices(&text_matrix, &ctm);
let rendered_size = effective_font_size(current_font_size, &combined);
let rendered_size = effective_font_size(current_font_size, &combined)
* type3_scales.get(&current_font).copied().unwrap_or(1.0);
let base_font = font_base_names
.get(&current_font)
.map(|s| s.as_str())
.unwrap_or(&current_font);
let (desc_italic, desc_bold) = font_style_flags
.get(&current_font)
.copied()
.unwrap_or((false, false));
let scale_x = text_matrix[0] * ctm[0] + text_matrix[1] * ctm[2];
for (text, start_w, end_w) in &sub_items {
let offset_tm = [
@@ -558,8 +611,10 @@ fn extract_form_xobject_text_inner(
font: current_font.clone(),
font_size: rendered_size,
page: page_num,
is_bold: is_bold_font(base_font),
is_italic: is_italic_font(base_font),
is_bold: is_bold_font(base_font) || desc_bold,
is_italic: is_italic_font(base_font) || desc_italic,
is_underline: false,
is_strikeout: false,
item_type: ItemType::Text,
mcid: None,
});
+5544 -203
View File
File diff suppressed because it is too large Load Diff
+307
View File
@@ -130,6 +130,123 @@ pub(crate) fn has_dot_leaders(text: &str) -> bool {
dot_groups >= 2
}
/// Detect a table-of-contents entry: a line ending in a page number preceded by
/// a dot-leader group (e.g. "Measurement Lab worksheet ... 3"). `has_dot_leaders`
/// misses single-group leaders ("..."), but a trailing "<dots> <number>" is a
/// strong TOC signal on its own. Such lines must never be promoted to headings.
pub(crate) fn is_toc_entry_line(text: &str) -> bool {
let trimmed = text.trim_end();
let digits = trimmed
.chars()
.rev()
.take_while(|c| c.is_ascii_digit())
.count();
if digits == 0 || digits > 4 {
return false;
}
let before_number = trimmed[..trimmed.len() - digits].trim_end();
let dots = before_number
.chars()
.rev()
.take_while(|c| *c == '.')
.count();
dots >= 3
}
/// A heading that announces a table of contents ("Contents", "Table of
/// Contents"). Lines after it on the same page are ToC entries — section
/// titles that look exactly like headings but must not be promoted.
pub(crate) fn is_toc_marker_heading(text: &str) -> bool {
let t = text.trim().trim_end_matches(':').trim().to_lowercase();
matches!(t.as_str(), "contents" | "table of contents")
}
/// Lines that resemble headings structurally but are display-math fragments:
/// equations ending in an equation number ("S = kB ln W, (2)") or equation
/// lead-ins ("Rearranging Equation (8) gives:"). Both carry an "(N)" equation
/// reference — but a trailing "(N)" alone is not enough: real headings end
/// with parenthesized numbers too ("Nicaea (325)", appendix numbering), so
/// the suffix form additionally requires math evidence — an "=" in the line
/// or a comma immediately before the number, both present in every display
/// equation and absent from name-plus-number headings. A bare trailing colon
/// is NOT a fragment signal either: real headings frequently end with colons
/// ("Procedure:", "Steps for Using the Microscope:").
pub(crate) fn is_heading_fragment(text: &str) -> bool {
let t = text.trim_end();
// A lowercase-initial one-or-two-word "heading" is a mid-sentence
// fragment beside display math ("or inversely", "and therefore") —
// real headings that short start uppercase. Measured as spurious
// headings on academic docs (fire-pdf ENG-5029 / opendataloader MHS).
{
let words: Vec<&str> = t.split_whitespace().collect();
if words.len() <= 2 {
if let Some(first_alpha) = t.chars().find(|c| c.is_alphabetic()) {
if first_alpha.is_lowercase() {
return true;
}
}
}
}
fn is_equation_number(s: &str) -> bool {
s.strip_prefix('(')
.and_then(|r| r.strip_suffix(')'))
.is_some_and(|inner| {
!inner.is_empty() && inner.len() <= 3 && inner.chars().all(|c| c.is_ascii_digit())
})
}
// Equation-number suffix with math evidence: "S = kB ln W, (2)"
let mut rev = t.rsplit(' ');
let last = rev.next().unwrap_or("");
if is_equation_number(last) {
// Page-of-total running headers: "LIVSMEDELSVERKET PM 2 (10)"
if let Some(prev_word) = t.rsplit(' ').nth(1) {
if let (Ok(page), Some(total)) = (
prev_word.parse::<u32>(),
last.trim_start_matches('(')
.trim_end_matches(')')
.parse::<u32>()
.ok(),
) {
if page <= total {
return true;
}
}
}
let punct_before = rev
.next()
.is_some_and(|w| w.ends_with(',') || w.ends_with(':'));
let has_math_op = t.chars().any(|c| {
matches!(
c,
'=' | '<'
| '>'
| '≤'
| '≥'
| '≪'
| '≫'
| '≈'
| '≠'
| '±'
| '∑'
| '∫'
| '√'
| '∝'
)
});
if punct_before || has_math_op {
return true;
}
}
// Lead-in: ends with a colon AND references an equation number inline
if t.ends_with(':') && t.split_whitespace().any(is_equation_number) {
return true;
}
false
}
/// Compute the Y-gap threshold for paragraph break detection.
///
/// Instead of using a fixed multiple of base_size (which fails for double-spaced
@@ -257,6 +374,15 @@ pub(crate) fn compute_heading_tiers(lines: &[TextLine], base_size: f32) -> Vec<f
for line in lines {
if let Some(first) = line.items.first() {
if first.font_size / base_size >= 1.2 {
// Digit-only lines (page numbers, issue numbers) must not
// define heading tiers: a large bold folio claims tier 0 and
// blocks the bold-size fallback for the document's real
// same-size headings.
let text = line.text();
let t = text.trim();
if !t.is_empty() && t.chars().all(|c| !c.is_alphabetic()) {
continue;
}
heading_sizes.push(first.font_size);
}
}
@@ -274,11 +400,45 @@ pub(crate) fn compute_heading_tiers(lines: &[TextLine], base_size: f32) -> Vec<f
}
}
// Books often set section headings barely above body size (e.g. 11pt
// bold over 10pt text). When nothing clears the 1.2x ratio gate, fall
// back to bold lines modestly larger than body so those documents still
// get an H1 instead of every bold heading defaulting to H2.
if tiers.is_empty() {
let mut bold_sizes: Vec<f32> = lines
.iter()
.filter(|line| {
let text = line.text();
let t = text.trim();
!t.is_empty() && t.chars().any(|c| c.is_alphabetic())
})
.filter_map(|line| line.items.first())
.filter(|it| it.is_bold && it.font_size / base_size >= 1.05)
.map(|it| it.font_size)
.collect();
bold_sizes.sort_by(|a, b| b.total_cmp(a));
for size in bold_sizes {
if !tiers.iter().any(|&t| (t - size).abs() < 0.5) {
tiers.push(size);
}
}
}
// Cap at 4 tiers
tiers.truncate(4);
tiers
}
/// Boldness of a line judged by character mass, so a heading with an
/// unbold section-number prefix ("4. " + bold title) still counts as bold.
pub(crate) fn line_is_mostly_bold(line: &TextLine) -> bool {
let (bold, total) = line.items.iter().fold((0usize, 0usize), |(b, t), it| {
let n = it.text.trim().chars().count();
(b + if it.is_bold { n } else { 0 }, t + n)
});
total > 0 && bold * 2 >= total
}
/// Detect header level from font size using document-specific heading tiers.
/// When tiers are available, maps tier 0→H1, tier 1→H2, etc.
/// Falls back to ratio-based thresholds when no tiers exist.
@@ -286,9 +446,21 @@ pub(crate) fn detect_header_level(
font_size: f32,
base_size: f32,
heading_tiers: &[f32],
is_bold: bool,
) -> Option<usize> {
let ratio = font_size / base_size;
// Tier matches are trusted below the 1.2x gate (down to 1.05x) only for
// bold lines: sub-gate tiers come from the bold fallback, and honoring
// them for non-bold text at the same size would promote captions.
if (1.05..1.2).contains(&ratio) && is_bold && !heading_tiers.is_empty() {
for (i, &tier_size) in heading_tiers.iter().enumerate() {
if (font_size - tier_size).abs() < 0.5 {
return Some(i + 1); // tier 0 → H1, tier 1 → H2, etc.
}
}
}
if ratio < 1.2 {
return None; // Regular text
}
@@ -320,3 +492,138 @@ pub(crate) fn detect_header_level(
Some(4)
}
}
#[cfg(test)]
mod tests {
use super::*;
fn line_of(text: &str, font_size: f32, bold: bool, y: f32) -> crate::types::TextLine {
let item = crate::types::TextItem {
text: text.into(),
x: 72.0,
y,
width: text.len() as f32 * font_size * 0.5,
height: font_size,
font: "Test".into(),
font_size,
page: 1,
is_bold: bold,
is_italic: false,
is_underline: false,
is_strikeout: false,
item_type: crate::types::ItemType::Text,
mcid: None,
};
crate::types::TextLine {
items: vec![item],
y,
page: 1,
adaptive_threshold: 0.10,
}
}
#[test]
fn digit_only_lines_do_not_define_tiers() {
// A 14pt bold page number must not claim tier 0 — that both demotes
// every real heading a level and blocks the bold-size fallback.
let lines = vec![
line_of("76", 14.0, true, 760.0),
line_of("Replace", 11.0, true, 700.0),
line_of("body text at eleven points", 11.0, false, 680.0),
];
let tiers = compute_heading_tiers(&lines, 11.0);
assert!(tiers.is_empty(), "page number claimed a tier: {tiers:?}");
}
#[test]
fn bold_fallback_tiers_when_nothing_clears_ratio_gate() {
// 10pt body, 11pt bold section headings (book-style): no size clears
// 1.2x, so bold sizes modestly above body form the tiers.
let lines = vec![
line_of("4. Entropy", 11.0, true, 700.0),
line_of("body text about entropy", 10.0, false, 680.0),
line_of("5. The dynamics", 11.0, true, 500.0),
];
let tiers = compute_heading_tiers(&lines, 10.0);
assert_eq!(tiers, vec![11.0]);
assert_eq!(detect_header_level(11.0, 10.0, &tiers, true), Some(1));
// Non-bold text at the fallback size must not become a heading.
assert_eq!(detect_header_level(11.0, 10.0, &tiers, false), None);
// Non-tier body text stays regular.
assert_eq!(detect_header_level(10.0, 10.0, &tiers, true), None);
}
#[test]
fn bold_fallback_skipped_when_real_tiers_exist() {
let lines = vec![
line_of("Chapter One", 18.0, false, 700.0),
line_of("bold label", 11.0, true, 600.0),
line_of("body", 10.0, false, 580.0),
];
let tiers = compute_heading_tiers(&lines, 10.0);
assert_eq!(tiers, vec![18.0]);
// The 11pt bold label does not match any tier and stays non-heading.
assert_eq!(detect_header_level(11.0, 10.0, &tiers, true), None);
}
#[test]
fn toc_entry_with_single_dot_group() {
assert!(is_toc_entry_line("Measurement Lab worksheet ... 3"));
assert!(is_toc_entry_line("Results ........ 12"));
assert!(is_toc_entry_line("Appendix B...42"));
}
#[test]
fn non_toc_lines_pass() {
assert!(!is_toc_entry_line(
"6.2. Expectations for Re-Hiring Employees"
));
assert!(!is_toc_entry_line("What happened in 2020"));
assert!(!is_toc_entry_line("IMPLEMENTATION"));
// Ellipsis without a trailing page number
assert!(!is_toc_entry_line("and so it goes ..."));
// Long numbers are data, not page refs
assert!(!is_toc_entry_line("ISBN ... 97814"));
}
#[test]
fn toc_marker_headings() {
assert!(is_toc_marker_heading("Contents"));
assert!(is_toc_marker_heading("CONTENTS"));
assert!(is_toc_marker_heading("Table of Contents"));
assert!(is_toc_marker_heading("Table of contents:"));
assert!(!is_toc_marker_heading("Contents of the Shipment"));
assert!(!is_toc_marker_heading("Introduction"));
}
#[test]
fn heading_fragments() {
// Equation lead-ins: colon ending + inline equation reference
assert!(is_heading_fragment("or inversely"));
assert!(is_heading_fragment("and therefore"));
assert!(!is_heading_fragment("Introduction"));
assert!(!is_heading_fragment("iPhone Sales Strategy Overview")); // 4 words, exempt
assert!(is_heading_fragment("Rearranging Equation (8) gives:"));
// Display-equation neighbours ending in an equation number
assert!(is_heading_fragment("S = kB ln W, (2)"));
assert!(is_heading_fragment("E = mc2 (12)"));
assert!(is_heading_fragment("x + y = z, (3)"));
// Page-of-total running headers
assert!(is_heading_fragment("LIVSMEDELSVERKET PM 2 (10)"));
// Comparison-operator evidence and colon-before-number
assert!(is_heading_fragment(
"PLL\u{fe} PHH\u{226a} PLH\u{fe} PHL: (12)"
));
// Real headings pass — including name-plus-number and colon-ended ones
assert!(!is_heading_fragment("Nicaea (325)"));
assert!(!is_heading_fragment(
"\u{627}\u{644}\u{645}\u{644}\u{62d}\u{642} \u{631}\u{642}\u{645} (1)"
));
assert!(!is_heading_fragment("4. Entropy"));
assert!(!is_heading_fragment("Procedure:"));
assert!(!is_heading_fragment("Steps for Using the Microscope:"));
assert!(!is_heading_fragment("Changing objectives:"));
assert!(!is_heading_fragment("Sales by Region (2024)"));
assert!(!is_heading_fragment("Results (preliminary)"));
}
}
+73
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@@ -64,6 +64,22 @@ pub(crate) fn is_caption_line(text: &str) -> bool {
false
}
/// Check if text starts with an unambiguous bullet marker (●, •, ○, ◦).
///
/// Narrower than [`is_list_item`]: it excludes numbered/lettered patterns
/// like `1.` or `a)`, which legitimately appear as section headings in many
/// documents. Used by the heading classifier to reject bullet lines without
/// also demoting numbered headings.
pub(crate) fn starts_with_bullet_marker(text: &str) -> bool {
let trimmed = text.trim_start();
trimmed.starts_with("")
|| trimmed.starts_with("")
|| trimmed.starts_with("")
|| trimmed.starts_with("")
|| trimmed.starts_with("- ")
|| trimmed.starts_with("* ")
}
/// Check if text looks like a list item
pub(crate) fn is_list_item(text: &str) -> bool {
let trimmed = text.trim_start();
@@ -115,6 +131,17 @@ pub(crate) fn format_list_item(text: &str) -> String {
if let Some(rest) = trimmed.strip_prefix(*bullet) {
return format!("- {}", rest.trim_start());
}
// Bullet inside a leading style run (e.g. "**● Label:** rest" or
// "<u>● Label</u>"). The run wraps both the marker and the following
// label because both carry the style in the PDF. The marker must move
// outside the wrapper so markdown still sees a list item.
for wrapper in ["**", "*", "<u>"] {
if let Some(after_open) = trimmed.strip_prefix(wrapper) {
if let Some(rest) = after_open.strip_prefix(*bullet) {
return format!("- {}{}", wrapper, rest.trim_start());
}
}
}
}
if trimmed.starts_with("- ") || trimmed.starts_with("* ") {
@@ -198,3 +225,49 @@ pub(crate) fn is_monospace_font(font_name: &str) -> bool {
patterns.iter().any(|p| lower.contains(p))
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn format_list_item_plain_bullet() {
assert_eq!(format_list_item("● Item"), "- Item");
assert_eq!(format_list_item("• Item"), "- Item");
}
#[test]
fn format_list_item_bullet_inside_underline() {
// Fully-underlined bullet line: the marker must move outside the
// <u> wrapper so markdown still renders a list item.
assert_eq!(format_list_item("<u>● Item text</u>"), "- <u>Item text</u>");
}
#[test]
fn format_list_item_bullet_inside_bold() {
// PDF that uses bold font for both the marker and the label produces
// a single bold run like "**● Label:** rest"; the bullet must still
// be stripped and the bold wrapper preserved on the label.
assert_eq!(
format_list_item("**● Fraud: Willing cooperation;**"),
"- **Fraud: Willing cooperation;**"
);
assert_eq!(
format_list_item("**● Label:** rest of line"),
"- **Label:** rest of line"
);
assert_eq!(format_list_item("*● Italic:* rest"), "- *Italic:* rest");
}
#[test]
fn format_list_item_already_dash() {
assert_eq!(format_list_item("- existing"), "- existing");
}
#[test]
fn is_list_item_with_bullet_space() {
assert!(is_list_item("● Item"));
assert!(is_list_item("• Item"));
assert!(is_list_item("- Item"));
}
}
+989 -100
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+136 -67
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@@ -2,12 +2,16 @@
use regex::Regex;
use super::MarkdownOptions;
use super::{MarkdownOptions, MarkdownProfile};
use crate::text_utils::is_page_number_line;
/// Clean up markdown output with post-processing
pub(crate) fn clean_markdown(mut text: String, options: &MarkdownOptions) -> String {
// Collapse dot leaders (e.g. TOC entries: "Introduction...............................1")
text = collapse_dot_leaders(&text);
if options.profile == MarkdownProfile::Compact {
// Dot-leader collapse saves tokens but changes source text, so it is
// reserved for the explicit compact profile.
text = collapse_dot_leaders(&text);
}
// Fix hyphenation first (before other processing)
if options.fix_hyphenation {
@@ -29,6 +33,8 @@ pub(crate) fn clean_markdown(mut text: String, options: &MarkdownOptions) -> Str
// text item, which combine with gap-based space insertion to produce
// double spaces ("Vice President" instead of "Vice President").
collapse_consecutive_spaces(&mut text);
remove_spaces_before_closing_brackets(&mut text);
remove_spaces_before_sentence_punctuation(&mut text);
// Remove excessive newlines (more than 2 in a row)
while text.contains("\n\n\n") {
@@ -71,6 +77,46 @@ fn collapse_consecutive_spaces(text: &mut String) {
*text = result;
}
/// Remove spaces before closing square brackets.
/// Unit markers and markdown links occasionally pick up a gap-inserted space
/// before `]` (e.g. `[kg/m3 ]`), which is cosmetic padding.
fn remove_spaces_before_closing_brackets(text: &mut String) {
let mut result = String::with_capacity(text.len());
for ch in text.chars() {
if ch == ']' && result.ends_with(' ') {
result.pop();
}
result.push(ch);
}
*text = result;
}
/// Remove a stray space before sentence punctuation ("word ." → "word.").
/// Style-boundary item splits (bold/italic/underline runs) can strand a
/// trailing period or comma in its own fragment, and several assembly paths
/// join fragments with spaces. Only fires when the punctuation ends the
/// token (followed by whitespace or end of text), so decimals ("3 .14" stays
/// untouched — no such input exists, but the guard is cheap) and dot leaders
/// (" ... ") are unaffected.
fn remove_spaces_before_sentence_punctuation(text: &mut String) {
let chars: Vec<char> = text.chars().collect();
let mut result = String::with_capacity(text.len());
for (i, &ch) in chars.iter().enumerate() {
if matches!(ch, '.' | ',' | ';') && result.ends_with(' ') {
let next = chars.get(i + 1);
// `|` counts as a token end so table cells get the same fix.
let token_ends = next.is_none_or(|c| c.is_whitespace() || *c == '|');
// Never touch runs of dots (ellipsis / dot leaders).
let in_dot_run = ch == '.' && next == Some(&'.');
if token_ends && !in_dot_run {
result.pop();
}
}
result.push(ch);
}
*text = result;
}
/// Collapse dot leaders (runs of 4+ dots) into " ... "
/// Common in tables of contents: "Introduction...............................1" -> "Introduction ... 1"
fn collapse_dot_leaders(text: &str) -> String {
@@ -100,7 +146,7 @@ fn fix_hyphenation(text: &str) -> String {
result
}
/// Remove standalone page numbers (lines that are just 1-4 digit numbers)
/// Remove isolated page-number expressions from Markdown.
fn remove_page_numbers(text: &str) -> String {
let mut result = Vec::new();
let lines: Vec<&str> = text.lines().collect();
@@ -138,69 +184,6 @@ fn remove_page_numbers(text: &str) -> String {
result.join("\n")
}
/// Check if a line looks like a page number
fn is_page_number_line(trimmed: &str) -> bool {
// Empty lines are not page numbers
if trimmed.is_empty() {
return false;
}
// Pattern 1: Just a number (1-4 digits)
if trimmed.len() <= 4 && trimmed.chars().all(|c| c.is_ascii_digit()) {
return true;
}
// Pattern 2: "Page X of Y" or "Page X" or "Page of" (placeholder)
let lower = trimmed.to_lowercase();
if let Some(rest) = lower.strip_prefix("page") {
let rest = rest.trim();
// "Page of" (empty page numbers)
if rest == "of" || rest.starts_with("of ") {
return true;
}
// "Page X" or "Page X of Y"
if rest
.chars()
.next()
.map(|c| c.is_ascii_digit())
.unwrap_or(false)
{
return true;
}
// Just "Page" followed by whitespace and maybe "of"
if rest.is_empty()
|| rest
.split_whitespace()
.all(|w| w == "of" || w.chars().all(|c| c.is_ascii_digit()))
{
return true;
}
}
// Pattern 3: "X of Y" where X and Y are numbers
if let Some(of_idx) = trimmed.find(" of ") {
let before = trimmed[..of_idx].trim();
let after = trimmed[of_idx + 4..].trim();
if before.chars().all(|c| c.is_ascii_digit())
&& after.chars().all(|c| c.is_ascii_digit())
&& !before.is_empty()
&& !after.is_empty()
{
return true;
}
}
// Pattern 4: "- X -" centered page number
if trimmed.len() >= 3 && trimmed.starts_with('-') && trimmed.ends_with('-') {
let inner = trimmed[1..trimmed.len() - 1].trim();
if inner.chars().all(|c| c.is_ascii_digit()) && !inner.is_empty() {
return true;
}
}
false
}
/// Convert URLs to markdown links
fn format_urls(text: &str) -> String {
use once_cell::sync::Lazy;
@@ -313,6 +296,23 @@ fn format_urls(text: &str) -> String {
mod tests {
use super::*;
#[test]
fn fidelity_profile_preserves_dot_leaders() {
let input = "Introduction............................1".to_string();
let result = clean_markdown(input.clone(), &MarkdownOptions::default());
assert_eq!(result, format!("{input}\n"));
}
#[test]
fn compact_profile_collapses_dot_leaders() {
let input = "Introduction............................1".to_string();
let options = MarkdownOptions {
profile: MarkdownProfile::Compact,
..MarkdownOptions::default()
};
assert_eq!(clean_markdown(input, &options), "Introduction ... 1\n");
}
// --- collapse_dot_leaders ---
#[test]
@@ -342,6 +342,48 @@ mod tests {
assert!(result.contains("Chapter 2 ... 20"));
}
// --- remove_spaces_before_closing_brackets ---
#[test]
fn test_remove_spaces_before_closing_brackets() {
let mut input = "Density [kg/m3 ] and [linked text ](https://example.com)".to_string();
remove_spaces_before_closing_brackets(&mut input);
assert_eq!(
input,
"Density [kg/m3] and [linked text](https://example.com)"
);
}
// --- remove_spaces_before_sentence_punctuation ---
#[test]
fn strips_space_before_trailing_period() {
let mut t = "Foreign insurance companies . The provisions".to_string();
remove_spaces_before_sentence_punctuation(&mut t);
assert_eq!(t, "Foreign insurance companies. The provisions");
}
#[test]
fn strips_space_before_period_at_cell_boundary() {
let mut t = "|Applicability date .|This section|".to_string();
remove_spaces_before_sentence_punctuation(&mut t);
assert_eq!(t, "|Applicability date.|This section|");
}
#[test]
fn keeps_dot_leaders_and_ellipses() {
let mut t = "Introduction ... 1".to_string();
remove_spaces_before_sentence_punctuation(&mut t);
assert_eq!(t, "Introduction ... 1");
}
#[test]
fn keeps_mid_token_periods() {
let mut t = "version 3 .14 released".to_string();
remove_spaces_before_sentence_punctuation(&mut t);
assert_eq!(t, "version 3 .14 released");
}
// --- fix_hyphenation ---
#[test]
@@ -385,12 +427,14 @@ mod tests {
fn test_is_page_number_page_x() {
assert!(is_page_number_line("Page 5"));
assert!(is_page_number_line("page 12"));
assert!(is_page_number_line("Page123"));
}
#[test]
fn test_is_page_number_page_x_of_y() {
assert!(is_page_number_line("Page 3 of 10"));
assert!(is_page_number_line("page 1 of 5"));
assert!(is_page_number_line("Page 3 of 10 Report header"));
}
#[test]
@@ -420,6 +464,13 @@ mod tests {
assert!(!is_page_number_line("Hello World"));
assert!(!is_page_number_line("Chapter 1"));
assert!(!is_page_number_line("Total: 500"));
assert!(!is_page_number_line("PAGE0-PARA2-END-MARKER-0"));
}
#[test]
fn test_is_page_number_labeled_running_header() {
assert!(is_page_number_line("Page 42 Chapter 5"));
assert!(is_page_number_line("Page 42 explains the result"));
}
// --- remove_page_numbers ---
@@ -447,6 +498,24 @@ mod tests {
assert!(result.contains("42"));
}
#[test]
fn test_remove_page_numbers_labeled_header_with_content() {
let input = "Content\n\nPage 42 explains the result\n---\nEnd";
let result = remove_page_numbers(input);
assert!(!result.contains("Page 42 explains the result"));
assert!(result.contains("Content"));
assert!(result.contains("End"));
}
#[test]
fn test_remove_page_numbers_preserves_page_prefixed_content() {
let input = "PAGE0-PARA2-START substantive report text PAGE0-PARA2-END-MARKER-0";
let result = remove_page_numbers(input);
assert_eq!(result, input);
}
#[test]
fn test_remove_page_numbers_multiple_patterns() {
let input = "\n1\n\nContent\n\n2\n\n---\nMore\n\n3\n";
+108 -2
View File
@@ -3,7 +3,7 @@
use std::collections::{HashMap, HashSet};
use crate::structure_tree::StructRole;
use crate::types::TextLine;
use crate::types::{TextItem, TextLine};
use super::analysis::detect_header_level;
@@ -42,7 +42,12 @@ fn effective_heading_level(
// Fall back to font-size heuristic
let font = line.items.first().map(|i| i.font_size).unwrap_or(base_size);
detect_header_level(font, base_size, heading_tiers)
detect_header_level(
font,
base_size,
heading_tiers,
crate::markdown::analysis::line_is_mostly_bold(line),
)
}
/// Merge consecutive heading lines at the same level into a single line.
@@ -87,6 +92,41 @@ pub(crate) fn merge_heading_lines(
false
};
// Bold headings at body font size never reach a tier, so wrapped ones
// split into two output headings ("…of wood pellets and cost" /
// "structure in Japan"). Merge a fully-bold line into the previous
// fully-bold line when it reads as a wrap continuation: starts
// lowercase, tiny Y gap, and the previous line has no terminal
// punctuation. Kept deliberately narrow — bold list labels and bold
// sentences start with markers or capitals and are unaffected.
let should_merge = should_merge
|| if let Some(prev) = result.last() {
let all_bold = |l: &TextLine| {
!l.items.is_empty() && l.items.iter().all(|i: &TextItem| i.is_bold)
};
let prev_text = prev.text();
let prev_trim = prev_text.trim_end();
let curr_text = line.text();
let curr_trim = curr_text.trim();
let y_gap = prev.y - line.y;
// Both lines must be tier-less: a tiered/tagged bold heading
// followed by bold body text must not absorb it.
line_level.is_none()
&& effective_heading_level(prev, base_size, heading_tiers, struct_roles)
.is_none()
&& prev.page == line.page
&& all_bold(prev)
&& all_bold(&line)
&& y_gap > 0.0
&& y_gap < line_font * 1.6
&& curr_trim.chars().next().is_some_and(|c| c.is_lowercase())
&& !prev_trim.ends_with(['.', ':', ';', '!', '?'])
&& prev_trim.split_whitespace().count() + curr_trim.split_whitespace().count()
<= 20
} else {
false
};
if should_merge {
// Append this line's items to the previous line
let prev = result.last_mut().unwrap();
@@ -542,6 +582,8 @@ mod tests {
page: 1,
is_bold: false,
is_italic: false,
is_underline: false,
is_strikeout: false,
item_type: ItemType::Text,
mcid,
}
@@ -683,4 +725,68 @@ mod tests {
.unwrap();
assert_eq!(first_header.page, 1, "first occurrence should be on page 1");
}
fn make_bold_line(text: &str, page: u32, y: f32) -> TextLine {
let mut item = make_item(text, 12.0, None);
item.is_bold = true;
TextLine {
items: vec![item],
y,
page,
adaptive_threshold: 0.10,
}
}
#[test]
fn merge_wrapped_bold_heading_lowercase_continuation() {
// Bold-at-body-size heading wrapped across two lines: the second line
// starts lowercase and must merge into the first.
let lines = vec![
make_bold_line(
"3. Perspective of supply and demand balance and cost",
1,
700.0,
),
make_bold_line("structure in Japan", 1, 686.0),
make_line("Body text paragraph follows here.", 12.0, 1, 660.0, None),
];
let result = merge_heading_lines(lines, 12.0, &[], None);
assert_eq!(result.len(), 2, "wrapped bold heading should merge");
assert!(result[0].text().contains("cost structure in Japan"));
}
#[test]
fn no_merge_for_bold_sentences_or_new_headings() {
// Second bold line starts with a capital — a new heading or label,
// not a wrap continuation.
let lines = vec![
make_bold_line("Replace", 1, 700.0),
make_bold_line("Trash", 1, 686.0),
];
let result = merge_heading_lines(lines, 12.0, &[], None);
assert_eq!(result.len(), 2, "distinct bold lines must not merge");
// Previous line ends a sentence — continuation must not merge.
let lines = vec![
make_bold_line("This is a bold sentence.", 1, 700.0),
make_bold_line("another bold line", 1, 686.0),
];
let result = merge_heading_lines(lines, 12.0, &[], None);
assert_eq!(result.len(), 2, "sentence-final bold line must not merge");
}
#[test]
fn tiered_bold_heading_does_not_absorb_bold_body() {
// Previous line is a tier-level bold heading (16pt vs 12pt body);
// a following lowercase bold body line must NOT merge into it.
let mut heading = make_bold_line("Section Title", 1, 700.0);
heading.items[0].font_size = 16.0;
heading.items[0].height = 16.0;
let lines = vec![
heading,
make_bold_line("emphasized body text continues here", 1, 686.0),
];
let result = merge_heading_lines(lines, 12.0, &[16.0], None);
assert_eq!(result.len(), 2, "tiered heading must not absorb bold body");
}
}
+176
View File
@@ -30,6 +30,9 @@ pub struct PyPdfResult {
/// 1-indexed page numbers that need OCR.
#[pyo3(get)]
pub pages_needing_ocr: Vec<u32>,
/// Machine-readable OCR reasons by 1-indexed page.
#[pyo3(get)]
pub ocr_reasons_by_page: Vec<PyPageOcrReasons>,
/// Title from PDF metadata.
#[pyo3(get)]
pub title: Option<String>,
@@ -60,6 +63,28 @@ impl PyPdfResult {
}
}
/// OCR reasons for a single 1-indexed page.
#[pyclass(name = "PageOcrReasons")]
#[derive(Clone)]
pub struct PyPageOcrReasons {
/// 1-indexed page number.
#[pyo3(get)]
pub page: u32,
/// Machine-readable OCR reason identifiers.
#[pyo3(get)]
pub reasons: Vec<String>,
}
#[pymethods]
impl PyPageOcrReasons {
fn __repr__(&self) -> String {
format!(
"PageOcrReasons(page={}, reasons={:?})",
self.page, self.reasons
)
}
}
// ---------------------------------------------------------------------------
// Classification wrapper (lightweight)
// ---------------------------------------------------------------------------
@@ -106,6 +131,9 @@ pub struct PyRegionText {
/// True when the text should not be trusted (empty, GID fonts, garbage, encoding issues).
#[pyo3(get)]
pub needs_ocr: bool,
/// Machine-readable OCR reason when the cause is known.
#[pyo3(get)]
pub ocr_reason: Option<String>,
}
#[pymethods]
@@ -146,6 +174,73 @@ impl PyPageRegionTexts {
// Text item wrapper
// ---------------------------------------------------------------------------
/// Per-page markdown extraction result.
#[pyclass(name = "PageMarkdown")]
#[derive(Clone)]
pub struct PyPageMarkdown {
/// 0-indexed page number.
#[pyo3(get)]
pub page: u32,
/// Formatted markdown for this page.
#[pyo3(get)]
pub markdown: String,
/// True when text on this page is unreliable (GID-encoded fonts,
/// encoding issues, garbage text, or empty extraction).
#[pyo3(get)]
pub needs_ocr: bool,
/// Machine-readable OCR reason when the cause is known.
#[pyo3(get)]
pub ocr_reason: Option<String>,
}
#[pymethods]
impl PyPageMarkdown {
fn __repr__(&self) -> String {
format!(
"PageMarkdown(page={}, markdown='{}', needs_ocr={})",
self.page,
self.markdown.chars().take(40).collect::<String>(),
self.needs_ocr
)
}
}
/// Combined per-page markdown extraction and layout classification result.
#[pyclass(name = "PagesExtractionResult")]
#[derive(Clone)]
pub struct PyPagesExtractionResult {
/// Per-page markdown results, in the order requested.
#[pyo3(get)]
pub pages: Vec<PyPageMarkdown>,
/// 1-indexed pages where tables were detected.
#[pyo3(get)]
pub pages_with_tables: Vec<u32>,
/// 1-indexed pages where multi-column layout was detected.
#[pyo3(get)]
pub pages_with_columns: Vec<u32>,
/// 1-indexed pages that need OCR (scanned/image-based or unreliable text).
#[pyo3(get)]
pub pages_needing_ocr: Vec<u32>,
/// Machine-readable OCR reasons by 1-indexed page.
#[pyo3(get)]
pub ocr_reasons_by_page: Vec<PyPageOcrReasons>,
/// True if any page has tables or columns.
#[pyo3(get)]
pub is_complex: bool,
}
#[pymethods]
impl PyPagesExtractionResult {
fn __repr__(&self) -> String {
format!(
"PagesExtractionResult(pages={}, pages_with_tables={:?}, is_complex={})",
self.pages.len(),
self.pages_with_tables,
self.is_complex
)
}
}
/// A positioned text item extracted from a PDF.
#[pyclass(name = "TextItem")]
#[derive(Clone)]
@@ -171,6 +266,10 @@ pub struct PyTextItem {
#[pyo3(get)]
pub is_italic: bool,
#[pyo3(get)]
pub is_underline: bool,
#[pyo3(get)]
pub is_strikeout: bool,
#[pyo3(get)]
pub item_type: String,
}
@@ -207,6 +306,7 @@ fn to_py_result(r: crate::PdfProcessResult) -> PyPdfResult {
page_count: r.page_count,
processing_time_ms: r.processing_time_ms,
pages_needing_ocr: r.pages_needing_ocr,
ocr_reasons_by_page: to_py_page_ocr_reasons(r.ocr_reasons_by_page),
title: r.title,
confidence: r.confidence,
is_complex_layout: r.layout.is_complex,
@@ -216,6 +316,16 @@ fn to_py_result(r: crate::PdfProcessResult) -> PyPdfResult {
}
}
fn to_py_page_ocr_reasons(reasons: Vec<crate::PageOcrReasons>) -> Vec<PyPageOcrReasons> {
reasons
.into_iter()
.map(|reason| PyPageOcrReasons {
page: reason.page,
reasons: reason.reasons,
})
.collect()
}
fn to_py_err(e: crate::PdfError) -> PyErr {
PyValueError::new_err(e.to_string())
}
@@ -243,6 +353,8 @@ fn convert_text_items(items: Vec<crate::TextItem>) -> Vec<PyTextItem> {
page: item.page,
is_bold: item.is_bold,
is_italic: item.is_italic,
is_underline: item.is_underline,
is_strikeout: item.is_strikeout,
item_type: item_type_str(&item.item_type),
})
.collect()
@@ -280,6 +392,26 @@ fn parse_page_regions(
.collect()
}
fn to_py_pages_result(r: crate::PagesExtractionResult) -> PyPagesExtractionResult {
PyPagesExtractionResult {
pages: r
.pages
.into_iter()
.map(|p| PyPageMarkdown {
page: p.page,
markdown: p.markdown,
needs_ocr: p.needs_ocr,
ocr_reason: p.ocr_reason,
})
.collect(),
pages_with_tables: r.pages_with_tables,
pages_with_columns: r.pages_with_columns,
pages_needing_ocr: r.pages_needing_ocr,
ocr_reasons_by_page: to_py_page_ocr_reasons(r.ocr_reasons_by_page),
is_complex: r.is_complex,
}
}
fn convert_region_results(results: Vec<crate::PageRegionResult>) -> Vec<PyPageRegionTexts> {
results
.into_iter()
@@ -291,6 +423,7 @@ fn convert_region_results(results: Vec<crate::PageRegionResult>) -> Vec<PyPageRe
.map(|r| PyRegionText {
text: r.text,
needs_ocr: r.needs_ocr,
ocr_reason: r.ocr_reason,
})
.collect(),
})
@@ -442,14 +575,55 @@ fn extract_text_in_regions_bytes(
Ok(convert_region_results(results))
}
/// Extract formatted markdown for pages of a PDF file, with layout
/// classification metadata.
///
/// Returns per-page markdown and classification data (tables, columns,
/// OCR needs) from a single parse. Font statistics are computed from the
/// full document so header detection is consistent across pages.
///
/// Args:
/// path: Path to the PDF file.
/// pages: Optional list of 0-indexed pages. When None (default), every
/// page is returned in document order. When provided, output
/// matches the caller-supplied order.
///
/// Returns:
/// PagesExtractionResult with per-page markdown and classification data.
#[pyfunction]
#[pyo3(signature = (path, pages=None))]
fn extract_pages_markdown(
path: &str,
pages: Option<Vec<u32>>,
) -> PyResult<PyPagesExtractionResult> {
let result = crate::extract_pages_markdown(path, pages.as_deref()).map_err(to_py_err)?;
Ok(to_py_pages_result(result))
}
/// Extract formatted markdown for pages of a PDF from bytes.
///
/// See [`extract_pages_markdown`] for details.
#[pyfunction]
#[pyo3(signature = (data, pages=None))]
fn extract_pages_markdown_bytes(
data: &[u8],
pages: Option<Vec<u32>>,
) -> PyResult<PyPagesExtractionResult> {
let result = crate::extract_pages_markdown_mem(data, pages.as_deref()).map_err(to_py_err)?;
Ok(to_py_pages_result(result))
}
/// Python module definition.
#[pymodule]
fn pdf_inspector(m: &Bound<'_, PyModule>) -> PyResult<()> {
m.add_class::<PyPdfResult>()?;
m.add_class::<PyPageOcrReasons>()?;
m.add_class::<PyPdfClassification>()?;
m.add_class::<PyTextItem>()?;
m.add_class::<PyRegionText>()?;
m.add_class::<PyPageRegionTexts>()?;
m.add_class::<PyPageMarkdown>()?;
m.add_class::<PyPagesExtractionResult>()?;
m.add_function(wrap_pyfunction!(process_pdf, m)?)?;
m.add_function(wrap_pyfunction!(process_pdf_bytes, m)?)?;
m.add_function(wrap_pyfunction!(detect_pdf, m)?)?;
@@ -462,5 +636,7 @@ fn pdf_inspector(m: &Bound<'_, PyModule>) -> PyResult<()> {
m.add_function(wrap_pyfunction!(extract_text_with_positions_bytes, m)?)?;
m.add_function(wrap_pyfunction!(extract_text_in_regions, m)?)?;
m.add_function(wrap_pyfunction!(extract_text_in_regions_bytes, m)?)?;
m.add_function(wrap_pyfunction!(extract_pages_markdown, m)?)?;
m.add_function(wrap_pyfunction!(extract_pages_markdown_bytes, m)?)?;
Ok(())
}
+94
View File
@@ -76,6 +76,52 @@ pub enum StructRole {
}
impl StructRole {
/// Content roles whose text must never be promoted to a heading by the
/// visual heuristic. These carry an explicit non-heading meaning in the
/// struct tree (lists, quotes, notes, references, captions, formulas,
/// forms, ToC entries), yet their text is often short and visually
/// isolated — exactly what the heuristic keys on. Heading roles (H, H1H6)
/// and generic container/flow roles (P, Div, Sect, Span, …) are excluded
/// so the heuristic can still fire there.
///
/// `Figure` is deliberately NOT in this set: cover/banner pages routinely
/// tag the document title inside a Figure (alongside a seal or logo), and
/// that title is a real heading. `Formula` and `Form` stay — a line
/// explicitly tagged as an equation or form field is never a heading.
///
/// Table roles (Table/TR/TH/TD/THead/TBody/TFoot) are included so that
/// when table reconstruction falls back and cells reach the line loop as
/// plain text, a short isolated cell — a `TH` column header especially —
/// is not promoted to a heading.
pub(crate) fn is_non_heading_content(&self) -> bool {
matches!(
self,
Self::L
| Self::LI
| Self::Lbl
| Self::LBody
| Self::BlockQuote
| Self::Quote
| Self::Caption
| Self::TOC
| Self::TOCI
| Self::Index
| Self::Note
| Self::Reference
| Self::BibEntry
| Self::Code
| Self::Formula
| Self::Form
| Self::Table
| Self::TR
| Self::TH
| Self::TD
| Self::THead
| Self::TBody
| Self::TFoot
)
}
fn from_name(name: &str) -> Self {
match name {
"Document" => Self::Document,
@@ -856,6 +902,54 @@ fn contains_bytes(haystack: &[u8], needle: &[u8]) -> bool {
mod tests {
use super::*;
#[test]
fn non_heading_content_roles() {
for r in [
StructRole::L,
StructRole::LI,
StructRole::BlockQuote,
StructRole::Quote,
StructRole::Caption,
StructRole::TOC,
StructRole::TOCI,
StructRole::Index,
StructRole::Note,
StructRole::Reference,
StructRole::BibEntry,
StructRole::Code,
StructRole::Formula,
StructRole::Form,
StructRole::Table,
StructRole::TR,
StructRole::TH,
StructRole::TD,
StructRole::THead,
StructRole::TBody,
StructRole::TFoot,
] {
assert!(
r.is_non_heading_content(),
"{r:?} should block heading promotion"
);
}
// Heading and generic container/flow roles must NOT block promotion
for r in [
StructRole::H,
StructRole::H1,
StructRole::H3,
StructRole::P,
StructRole::Div,
StructRole::Sect,
StructRole::Span,
StructRole::Figure,
] {
assert!(
!r.is_non_heading_content(),
"{r:?} should allow heading promotion"
);
}
}
#[test]
fn test_struct_role_from_name() {
assert_eq!(StructRole::from_name("H1"), StructRole::H1);
File diff suppressed because it is too large Load Diff
+2820 -48
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File diff suppressed because it is too large Load Diff
+2163 -74
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File diff suppressed because it is too large Load Diff
+848 -62
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@@ -4,15 +4,385 @@
//! elements linked to MCIDs, this module builds `Table` structs directly from
//! the semantic hierarchy — no geometry heuristics needed.
use std::collections::HashMap;
use std::collections::{HashMap, HashSet};
use log::debug;
use crate::structure_tree::StructTable;
use crate::structure_tree::{StructTable, StructTableRow};
use crate::types::TextItem;
use super::Table;
#[derive(Debug, Clone)]
struct MatchedCell {
text: String,
item_indices: Vec<usize>,
x: Option<f32>,
y: Option<f32>,
}
fn legacy_column_positions(
page_rows: &[&StructTableRow],
mcid_to_items: &HashMap<i64, Vec<usize>>,
items: &[TextItem],
page: u32,
num_cols: usize,
) -> Vec<f32> {
let mut col_positions: Vec<f32> = vec![0.0; num_cols];
for (col, col_pos) in col_positions.iter_mut().enumerate() {
for row in page_rows {
if col < row.cells.len() {
if let Some(x) = row.cells[col]
.mcids
.iter()
.filter(|(_, p)| *p == page)
.filter_map(|(mcid, _)| mcid_to_items.get(mcid))
.flatten()
.map(|&idx| items[idx].x)
.reduce(f32::min)
{
*col_pos = x;
break;
}
}
}
}
col_positions
}
fn infer_column_positions(
raw_rows: &[Vec<MatchedCell>],
fallback_positions: &[f32],
num_cols: usize,
) -> Vec<f32> {
const SAME_COLUMN_TOLERANCE: f32 = 18.0;
let mut anchors = raw_rows
.iter()
.max_by_key(|row| row.iter().filter(|cell| cell.x.is_some()).count())
.map(|row| row.iter().filter_map(|cell| cell.x).collect::<Vec<_>>())
.unwrap_or_default();
if anchors.len() > num_cols {
anchors.truncate(num_cols);
}
let mut additional_positions: Vec<f32> = raw_rows
.iter()
.flat_map(|row| row.iter().filter_map(|cell| cell.x))
.collect();
additional_positions.sort_by(|a, b| a.total_cmp(b));
for x in additional_positions {
if anchors.len() >= num_cols {
break;
}
if anchors
.iter()
.all(|existing| (x - *existing).abs() > SAME_COLUMN_TOLERANCE)
{
anchors.push(x);
anchors.sort_by(|a, b| a.total_cmp(b));
}
}
if anchors.len() < num_cols {
for &x in fallback_positions {
if anchors.len() >= num_cols {
break;
}
if anchors
.iter()
.all(|existing| (x - *existing).abs() > SAME_COLUMN_TOLERANCE)
{
anchors.push(x);
anchors.sort_by(|a, b| a.total_cmp(b));
}
}
}
if anchors.is_empty() {
return fallback_positions.to_vec();
}
while anchors.len() < num_cols {
anchors.push(*anchors.last().unwrap());
}
anchors
}
fn align_positions_to_columns(cell_xs: &[f32], columns: &[f32]) -> Vec<usize> {
if cell_xs.is_empty() || columns.is_empty() {
return Vec::new();
}
if cell_xs.len() >= columns.len() {
return (0..cell_xs.len().min(columns.len())).collect();
}
let mut dp = vec![vec![f32::INFINITY; columns.len() + 1]; cell_xs.len() + 1];
let mut take = vec![vec![false; columns.len() + 1]; cell_xs.len() + 1];
for value in &mut dp[0] {
*value = 0.0;
}
for i in 1..=cell_xs.len() {
for j in 1..=columns.len() {
let skip_cost = dp[i][j - 1];
let take_cost = dp[i - 1][j - 1] + (cell_xs[i - 1] - columns[j - 1]).abs();
if take_cost <= skip_cost {
dp[i][j] = take_cost;
take[i][j] = true;
} else {
dp[i][j] = skip_cost;
}
}
}
let mut assignments_rev = Vec::with_capacity(cell_xs.len());
let mut i = cell_xs.len();
let mut j = columns.len();
while i > 0 && j > 0 {
if take[i][j] {
assignments_rev.push(j - 1);
i -= 1;
j -= 1;
} else {
j -= 1;
}
}
assignments_rev.reverse();
assignments_rev
}
fn align_struct_rows(
raw_rows: &[Vec<MatchedCell>],
col_positions: &[f32],
) -> (Vec<Vec<String>>, Vec<f32>, Vec<usize>) {
let mut cells: Vec<Vec<String>> = Vec::with_capacity(raw_rows.len());
let mut row_positions: Vec<f32> = Vec::with_capacity(raw_rows.len());
let mut all_item_indices: Vec<usize> = Vec::new();
for row in raw_rows {
let present_cells: Vec<&MatchedCell> = row
.iter()
.filter(|cell| {
!cell.item_indices.is_empty() || !cell.text.is_empty() || cell.x.is_some()
})
.collect();
let cell_xs: Vec<f32> = present_cells.iter().filter_map(|cell| cell.x).collect();
let assignments = if cell_xs.len() == present_cells.len() {
align_positions_to_columns(&cell_xs, col_positions)
} else {
(0..present_cells.len().min(col_positions.len())).collect()
};
let mut row_cells = vec![String::new(); col_positions.len()];
for (cell, &col_idx) in present_cells.iter().zip(assignments.iter()) {
if !cell.text.is_empty() {
if !row_cells[col_idx].is_empty() {
row_cells[col_idx].push(' ');
}
row_cells[col_idx].push_str(&cell.text);
}
all_item_indices.extend(cell.item_indices.iter().copied());
}
let row_y = row
.iter()
.filter_map(|cell| cell.y)
.reduce(f32::max)
.unwrap_or(0.0);
cells.push(row_cells);
row_positions.push(row_y);
}
(cells, row_positions, all_item_indices)
}
fn left_align_struct_rows(
raw_rows: &[Vec<MatchedCell>],
num_cols: usize,
) -> (Vec<Vec<String>>, Vec<f32>, Vec<usize>) {
let mut cells: Vec<Vec<String>> = Vec::with_capacity(raw_rows.len());
let mut row_positions: Vec<f32> = Vec::with_capacity(raw_rows.len());
let mut all_item_indices: Vec<usize> = Vec::new();
for row in raw_rows {
let mut row_cells: Vec<String> = row.iter().map(|cell| cell.text.clone()).collect();
row_cells.truncate(num_cols);
while row_cells.len() < num_cols {
row_cells.push(String::new());
}
cells.push(row_cells);
all_item_indices.extend(
row.iter()
.flat_map(|cell| cell.item_indices.iter().copied()),
);
row_positions.push(
row.iter()
.filter_map(|cell| cell.y)
.reduce(f32::max)
.unwrap_or(0.0),
);
}
(cells, row_positions, all_item_indices)
}
fn recover_unclaimed_header_row(table: &mut Table, items: &[TextItem], has_ragged_rows: bool) {
if !has_ragged_rows || table.rows.is_empty() || table.columns.len() < 3 {
return;
}
const MAX_HEADER_DISTANCE: f32 = 90.0;
const MAX_GAP_TO_TABLE: f32 = 35.0;
const MAX_INTER_HEADER_GAP: f32 = 25.0;
const MAX_HEADER_ROWS: usize = 3;
const Y_TOLERANCE: f32 = 5.0;
let top_row_y = table.rows[0];
let x_min = table.columns.first().copied().unwrap_or(0.0) - 25.0;
let x_max = table.columns.last().copied().unwrap_or(0.0) + 120.0;
let claimed: HashSet<usize> = table.item_indices.iter().copied().collect();
let mut candidate_rows: Vec<(f32, Vec<(usize, &TextItem)>)> = Vec::new();
for (idx, item) in items.iter().enumerate() {
if claimed.contains(&idx)
|| item.text.trim().is_empty()
|| item.y <= top_row_y
|| item.y - top_row_y > MAX_HEADER_DISTANCE
|| item.x < x_min
|| item.x > x_max
{
continue;
}
if let Some((_, row_items)) = candidate_rows
.iter_mut()
.find(|(row_y, _)| (item.y - *row_y).abs() < Y_TOLERANCE)
{
row_items.push((idx, item));
} else {
candidate_rows.push((item.y, vec![(idx, item)]));
}
}
if candidate_rows.is_empty() {
return;
}
for (_, row_items) in &mut candidate_rows {
row_items.sort_by(|a, b| a.1.x.total_cmp(&b.1.x));
}
candidate_rows.sort_by(|a, b| a.0.total_cmp(&b.0));
if candidate_rows[0].0 - top_row_y > MAX_GAP_TO_TABLE {
return;
}
let mut candidate_iter = candidate_rows.into_iter();
let Some(first_row) = candidate_iter.next() else {
return;
};
let mut selected_rows: Vec<(f32, Vec<(usize, &TextItem)>)> = vec![first_row];
let mut prev_y = selected_rows[0].0;
for (row_y, row_items) in candidate_iter {
if selected_rows.len() >= MAX_HEADER_ROWS {
break;
}
if row_y - prev_y > MAX_INTER_HEADER_GAP {
break;
}
prev_y = row_y;
selected_rows.push((row_y, row_items));
}
if selected_rows.is_empty() {
return;
}
let mut assigned_rows: Vec<(f32, Vec<String>, Vec<usize>)> = Vec::new();
let mut closest_row_populated = 0usize;
let mut combined_cols: HashSet<usize> = HashSet::new();
for (row_idx, (row_y, row_items)) in selected_rows.iter().enumerate() {
if row_items.len() > table.columns.len() {
return;
}
let row_xs: Vec<f32> = row_items.iter().map(|(_, item)| item.x).collect();
let assignments = align_positions_to_columns(&row_xs, &table.columns);
if assignments.len() != row_items.len() {
return;
}
let mut row_cells = vec![String::new(); table.columns.len()];
let mut row_indices = Vec::with_capacity(row_items.len());
let mut populated_cols: HashSet<usize> = HashSet::new();
for ((idx, item), &col_idx) in row_items.iter().zip(assignments.iter()) {
let text = item.text.trim();
if text.is_empty() {
continue;
}
if !row_cells[col_idx].is_empty() {
row_cells[col_idx].push(' ');
}
row_cells[col_idx].push_str(text);
row_indices.push(*idx);
populated_cols.insert(col_idx);
}
if row_idx == 0 {
closest_row_populated = populated_cols.len();
}
combined_cols.extend(populated_cols.iter().copied());
assigned_rows.push((*row_y, row_cells, row_indices));
}
let required_cols = if table.columns.len() <= 4 {
table.columns.len()
} else {
table.columns.len() - 1
};
if closest_row_populated < 2 || combined_cols.len() < required_cols {
return;
}
let mut header_cells = vec![String::new(); table.columns.len()];
let mut header_indices = Vec::new();
for (_, row_cells, row_indices) in assigned_rows.iter().rev() {
for (col_idx, cell_text) in row_cells.iter().enumerate() {
if cell_text.is_empty() {
continue;
}
if !header_cells[col_idx].is_empty() {
header_cells[col_idx].push(' ');
}
header_cells[col_idx].push_str(cell_text);
}
header_indices.extend(row_indices.iter().copied());
}
table.rows.insert(
0,
assigned_rows
.iter()
.map(|(row_y, _, _)| *row_y)
.reduce(f32::max)
.unwrap_or(top_row_y),
);
table.cells.insert(0, header_cells);
table.item_indices.extend(header_indices);
table.item_indices.sort_unstable();
table.item_indices.dedup();
}
/// Build tables from structure-tree table descriptors by matching MCIDs to TextItems.
///
/// Returns tables for the given page. Tables where fewer than 50% of cells
@@ -67,18 +437,14 @@ pub fn detect_tables_from_struct_tree(
continue;
}
// Build cell text and collect item indices
let mut cells: Vec<Vec<String>> = Vec::new();
let mut all_item_indices: Vec<usize> = Vec::new();
// Build cell text and geometry for alignment and header recovery.
let mut raw_rows: Vec<Vec<MatchedCell>> = Vec::new();
let mut total_cells = 0u32;
let mut matched_cells = 0u32;
for row in &page_rows {
let mut row_cells = Vec::with_capacity(num_cols);
for (col_idx, cell) in row.cells.iter().enumerate() {
if col_idx >= num_cols {
break;
}
let mut row_cells = Vec::with_capacity(row.cells.len());
for cell in &row.cells {
total_cells += 1;
// Collect all items for this cell's MCIDs
@@ -115,18 +481,18 @@ pub fn detect_tables_from_struct_tree(
.collect::<Vec<_>>()
.join(" ");
for (idx, _) in &cell_items {
all_item_indices.push(*idx);
}
let item_indices = cell_items.iter().map(|(idx, _)| *idx).collect::<Vec<_>>();
let x = cell_items.iter().map(|(_, item)| item.x).reduce(f32::min);
let y = cell_items.iter().map(|(_, item)| item.y).reduce(f32::max);
row_cells.push(text);
row_cells.push(MatchedCell {
text,
item_indices,
x,
y,
});
}
// Pad to num_cols
while row_cells.len() < num_cols {
row_cells.push(String::new());
}
cells.push(row_cells);
raw_rows.push(row_cells);
}
// Reject if too few cells matched (stale structure tree)
@@ -148,51 +514,54 @@ pub fn detect_tables_from_struct_tree(
continue;
}
// Derive row/column positions from item geometry
let mut row_positions: Vec<f32> = Vec::new();
for row in &page_rows {
let y = row
.cells
.iter()
.flat_map(|c| c.mcids.iter())
.filter(|(_, p)| *p == page)
.filter_map(|(mcid, _)| mcid_to_items.get(mcid))
.flatten()
.map(|&idx| items[idx].y)
.reduce(f32::max)
.unwrap_or(0.0);
row_positions.push(y);
}
let has_ragged_rows = raw_rows
.iter()
.any(|row| row.iter().filter(|cell| cell.x.is_some()).count() < num_cols);
let first_row_has_tagged_header = page_rows.first().is_some_and(|row| {
let header_cells = row.cells.iter().filter(|cell| cell.is_header).count();
header_cells * 2 >= row.cells.len()
});
let fallback_col_positions =
legacy_column_positions(&page_rows, &mcid_to_items, items, page, num_cols);
let (legacy_cells, legacy_row_positions, mut legacy_item_indices) =
left_align_struct_rows(&raw_rows, num_cols);
legacy_item_indices.sort_unstable();
legacy_item_indices.dedup();
let legacy_table = Table::new(
fallback_col_positions.clone(),
legacy_row_positions,
legacy_cells,
legacy_item_indices,
);
// Column positions: use X positions of first non-empty cell in each column
let mut col_positions: Vec<f32> = vec![0.0; num_cols];
for (col, col_pos) in col_positions.iter_mut().enumerate() {
for row in &page_rows {
if col < row.cells.len() {
if let Some(x) = row.cells[col]
.mcids
.iter()
.filter(|(_, p)| *p == page)
.filter_map(|(mcid, _)| mcid_to_items.get(mcid))
.flatten()
.map(|&idx| items[idx].x)
.reduce(f32::min)
{
*col_pos = x;
break;
}
}
}
}
let col_positions = infer_column_positions(&raw_rows, &fallback_col_positions, num_cols);
let (aligned_cells, aligned_row_positions, mut aligned_item_indices) =
align_struct_rows(&raw_rows, &col_positions);
aligned_item_indices.sort_unstable();
aligned_item_indices.dedup();
all_item_indices.sort_unstable();
all_item_indices.dedup();
let mut aligned_table = Table::new(
col_positions,
aligned_row_positions,
aligned_cells,
aligned_item_indices,
);
let item_count_before_header = aligned_table.item_indices.len();
let row_count_before_header = aligned_table.cells.len();
recover_unclaimed_header_row(
&mut aligned_table,
items,
has_ragged_rows && !first_row_has_tagged_header,
);
tables.push(Table {
columns: col_positions,
rows: row_positions,
cells,
item_indices: all_item_indices,
let recovered_header = aligned_table.item_indices.len() > item_count_before_header
|| aligned_table.cells.len() > row_count_before_header;
let prefer_aligned = recovered_header;
tables.push(if prefer_aligned {
aligned_table
} else {
legacy_table
});
}
@@ -217,6 +586,8 @@ mod tests {
page,
is_bold: false,
is_italic: false,
is_underline: false,
is_strikeout: false,
item_type: ItemType::Text,
mcid,
}
@@ -374,4 +745,419 @@ mod tests {
let tables = detect_tables_from_struct_tree(&items, &struct_tables, 2);
assert_eq!(tables.len(), 1);
}
#[test]
fn realigns_ragged_rows_and_recovers_untagged_header() {
let items = vec![
make_item("Category", 50.0, 120.0, 1, None),
make_item("Potentially", 150.0, 120.0, 1, None),
make_item("Summary", 250.0, 120.0, 1, None),
make_item("Most commonly", 350.0, 120.0, 1, None),
make_item("concerning aspect", 150.0, 110.0, 1, None),
make_item("suggested", 350.0, 110.0, 1, None),
make_item("of circumstances", 150.0, 100.0, 1, None),
make_item("intervention", 350.0, 100.0, 1, None),
make_item("Existence of red-teaming", 150.0, 80.0, 1, Some(10)),
make_item("Important for safety", 250.0, 80.0, 1, Some(11)),
make_item("Ensure welfare interviews", 350.0, 80.0, 1, Some(12)),
make_item("Identity & self-knowledge", 50.0, 60.0, 1, Some(20)),
make_item("Lack of knowledge", 150.0, 60.0, 1, Some(21)),
make_item("Overall negative", 250.0, 60.0, 1, Some(22)),
make_item("Describe training process", 350.0, 60.0, 1, Some(23)),
make_item("Uncertainty around other copies", 150.0, 40.0, 1, Some(30)),
make_item("High uncertainty", 250.0, 40.0, 1, Some(31)),
make_item("No intervention suggested", 350.0, 40.0, 1, Some(32)),
];
let struct_tables = vec![StructTable {
rows: vec![
StructTableRow {
cells: vec![
StructTableCell {
is_header: false,
mcids: vec![(10, 1)],
},
StructTableCell {
is_header: false,
mcids: vec![(11, 1)],
},
StructTableCell {
is_header: false,
mcids: vec![(12, 1)],
},
],
},
StructTableRow {
cells: vec![
StructTableCell {
is_header: false,
mcids: vec![(20, 1)],
},
StructTableCell {
is_header: false,
mcids: vec![(21, 1)],
},
StructTableCell {
is_header: false,
mcids: vec![(22, 1)],
},
StructTableCell {
is_header: false,
mcids: vec![(23, 1)],
},
],
},
StructTableRow {
cells: vec![
StructTableCell {
is_header: false,
mcids: vec![(30, 1)],
},
StructTableCell {
is_header: false,
mcids: vec![(31, 1)],
},
StructTableCell {
is_header: false,
mcids: vec![(32, 1)],
},
],
},
],
}];
let tables = detect_tables_from_struct_tree(&items, &struct_tables, 1);
assert_eq!(tables.len(), 1);
let table = &tables[0];
assert_eq!(table.cells.len(), 4);
assert_eq!(
table.cells[0],
vec![
"Category",
"Potentially concerning aspect of circumstances",
"Summary",
"Most commonly suggested intervention",
]
);
assert_eq!(table.cells[1][0], "");
assert_eq!(table.cells[1][1], "Existence of red-teaming");
assert_eq!(table.cells[2][0], "Identity & self-knowledge");
assert_eq!(table.cells[3][0], "");
assert_eq!(table.columns.len(), 4);
assert!(table.columns.windows(2).all(|w| w[0] < w[1]));
assert_eq!(table.item_indices.len(), items.len());
}
#[test]
fn does_not_absorb_caption_above_ragged_struct_table() {
let items = vec![
make_item("Table 5-7: Summary of responses", 50.0, 120.0, 1, None),
make_item("Aspect one", 150.0, 80.0, 1, Some(10)),
make_item("Summary one", 250.0, 80.0, 1, Some(11)),
make_item("Category", 50.0, 60.0, 1, Some(20)),
make_item("Aspect two", 150.0, 60.0, 1, Some(21)),
make_item("Summary two", 250.0, 60.0, 1, Some(22)),
make_item("Aspect three", 150.0, 40.0, 1, Some(30)),
make_item("Summary three", 250.0, 40.0, 1, Some(31)),
];
let struct_tables = vec![StructTable {
rows: vec![
StructTableRow {
cells: vec![
StructTableCell {
is_header: false,
mcids: vec![(10, 1)],
},
StructTableCell {
is_header: false,
mcids: vec![(11, 1)],
},
],
},
StructTableRow {
cells: vec![
StructTableCell {
is_header: false,
mcids: vec![(20, 1)],
},
StructTableCell {
is_header: false,
mcids: vec![(21, 1)],
},
StructTableCell {
is_header: false,
mcids: vec![(22, 1)],
},
],
},
StructTableRow {
cells: vec![
StructTableCell {
is_header: false,
mcids: vec![(30, 1)],
},
StructTableCell {
is_header: false,
mcids: vec![(31, 1)],
},
],
},
],
}];
let tables = detect_tables_from_struct_tree(&items, &struct_tables, 1);
assert_eq!(tables.len(), 1);
let table = &tables[0];
assert_eq!(table.cells.len(), 3);
assert!(
table
.cells
.iter()
.flatten()
.all(|cell| !cell.contains("Table 5-7")),
"caption must stay outside the table"
);
assert!(!table.item_indices.contains(&0));
}
#[test]
fn keeps_existing_tagged_header_without_absorbing_intro_or_caption() {
let items = vec![
make_item(
"Eighteen people left other comments regarding the Project.",
50.0,
130.0,
1,
None,
),
make_item("Table 5-1:", 220.0, 130.0, 1, None),
make_item("Other Comments", 350.0, 130.0, 1, None),
make_item("Theme", 50.0, 110.0, 1, Some(10)),
make_item("Specific Concern/Inquiry", 200.0, 110.0, 1, Some(11)),
make_item("Response", 420.0, 110.0, 1, Some(12)),
make_item("Traffic", 50.0, 90.0, 1, Some(20)),
make_item("Road conditions", 200.0, 90.0, 1, Some(21)),
make_item("Maintenance response", 420.0, 90.0, 1, Some(22)),
make_item("Noise", 50.0, 70.0, 1, Some(30)),
make_item("Dust concerns", 200.0, 70.0, 1, Some(31)),
make_item("Mitigation response", 420.0, 70.0, 1, Some(32)),
make_item("Resource Use", 50.0, 50.0, 1, Some(40)),
make_item("Snowmobile trails", 200.0, 50.0, 1, Some(41)),
make_item("Access response", 420.0, 50.0, 1, Some(42)),
];
let struct_tables = vec![StructTable {
rows: vec![
StructTableRow {
cells: vec![
StructTableCell {
is_header: true,
mcids: vec![(10, 1)],
},
StructTableCell {
is_header: true,
mcids: vec![(11, 1)],
},
StructTableCell {
is_header: true,
mcids: vec![(12, 1)],
},
],
},
StructTableRow {
cells: vec![
StructTableCell {
is_header: false,
mcids: vec![(20, 1)],
},
StructTableCell {
is_header: false,
mcids: vec![(21, 1)],
},
StructTableCell {
is_header: false,
mcids: vec![(22, 1)],
},
],
},
StructTableRow {
cells: vec![
StructTableCell {
is_header: false,
mcids: vec![(30, 1)],
},
StructTableCell {
is_header: false,
mcids: vec![(31, 1)],
},
StructTableCell {
is_header: false,
mcids: vec![(32, 1)],
},
],
},
StructTableRow {
cells: vec![
StructTableCell {
is_header: false,
mcids: vec![(40, 1)],
},
StructTableCell {
is_header: false,
mcids: vec![(41, 1)],
},
StructTableCell {
is_header: false,
mcids: vec![(42, 1)],
},
],
},
],
}];
let tables = detect_tables_from_struct_tree(&items, &struct_tables, 1);
assert_eq!(tables.len(), 1);
let table = &tables[0];
assert_eq!(table.cells.len(), 4);
assert_eq!(
table.cells[0],
vec!["Theme", "Specific Concern/Inquiry", "Response"]
);
assert!(!table.item_indices.contains(&0));
assert!(!table.item_indices.contains(&1));
assert!(!table.item_indices.contains(&2));
}
#[test]
fn does_not_recover_header_for_narrow_two_column_table() {
let items = vec![
make_item("Alpha", 50.0, 120.0, 1, None),
make_item("Beta", 200.0, 120.0, 1, None),
make_item("First value", 200.0, 80.0, 1, Some(10)),
make_item("Only labeled row", 50.0, 60.0, 1, Some(20)),
make_item("Second value", 200.0, 60.0, 1, Some(21)),
make_item("Third value", 200.0, 40.0, 1, Some(30)),
];
let struct_tables = vec![StructTable {
rows: vec![
StructTableRow {
cells: vec![StructTableCell {
is_header: false,
mcids: vec![(10, 1)],
}],
},
StructTableRow {
cells: vec![
StructTableCell {
is_header: false,
mcids: vec![(20, 1)],
},
StructTableCell {
is_header: false,
mcids: vec![(21, 1)],
},
],
},
StructTableRow {
cells: vec![StructTableCell {
is_header: false,
mcids: vec![(30, 1)],
}],
},
],
}];
let tables = detect_tables_from_struct_tree(&items, &struct_tables, 1);
assert_eq!(tables.len(), 1);
let table = &tables[0];
assert_eq!(table.cells.len(), 3);
assert_eq!(table.cells[0], vec!["First value", ""]);
assert_eq!(table.cells[1], vec!["Only labeled row", "Second value"]);
assert_eq!(table.cells[2], vec!["Third value", ""]);
assert!(!table.item_indices.contains(&0));
assert!(!table.item_indices.contains(&1));
}
#[test]
fn ragged_rows_without_recovered_header_keep_legacy_alignment() {
let items = vec![
make_item("Date", 150.0, 120.0, 1, Some(10)),
make_item("Title", 250.0, 120.0, 1, Some(11)),
make_item("PE", 350.0, 120.0, 1, Some(12)),
make_item("Bidder", 450.0, 120.0, 1, Some(13)),
make_item("Amount", 550.0, 120.0, 1, Some(14)),
make_item("1", 50.0, 100.0, 1, Some(20)),
make_item("8/1", 150.0, 100.0, 1, Some(21)),
make_item("Procurement", 250.0, 100.0, 1, Some(22)),
make_item("PUC", 350.0, 100.0, 1, Some(23)),
make_item("Vendor", 450.0, 100.0, 1, Some(24)),
make_item("SR1", 550.0, 100.0, 1, Some(25)),
];
let struct_tables = vec![StructTable {
rows: vec![
StructTableRow {
cells: vec![
StructTableCell {
is_header: true,
mcids: vec![(10, 1)],
},
StructTableCell {
is_header: true,
mcids: vec![(11, 1)],
},
StructTableCell {
is_header: true,
mcids: vec![(12, 1)],
},
StructTableCell {
is_header: true,
mcids: vec![(13, 1)],
},
StructTableCell {
is_header: true,
mcids: vec![(14, 1)],
},
],
},
StructTableRow {
cells: vec![
StructTableCell {
is_header: false,
mcids: vec![(20, 1)],
},
StructTableCell {
is_header: false,
mcids: vec![(21, 1)],
},
StructTableCell {
is_header: false,
mcids: vec![(22, 1)],
},
StructTableCell {
is_header: false,
mcids: vec![(23, 1)],
},
StructTableCell {
is_header: false,
mcids: vec![(24, 1)],
},
StructTableCell {
is_header: false,
mcids: vec![(25, 1)],
},
],
},
],
}];
let tables = detect_tables_from_struct_tree(&items, &struct_tables, 1);
assert_eq!(tables.len(), 1);
let table = &tables[0];
assert_eq!(table.cells[0][0], "Date");
assert_eq!(table.cells[0][4], "Amount");
assert_eq!(table.cells[0][5], "");
}
}
+2
View File
@@ -108,6 +108,8 @@ pub(crate) fn try_split_financial_item(item: &TextItem) -> Option<Vec<TextItem>>
page: item.page,
is_bold: item.is_bold,
is_italic: item.is_italic,
is_underline: item.is_underline,
is_strikeout: item.is_strikeout,
item_type: item.item_type.clone(),
mcid: item.mcid,
});
+555 -8
View File
@@ -1,12 +1,22 @@
//! Table-to-markdown formatting and cell cleanup.
use super::Table;
use super::{Table, TableKind};
pub fn table_to_markdown(table: &Table) -> String {
if table.cells.is_empty() || table.cells[0].is_empty() {
return String::new();
}
// TOCs render poorly as markdown tables — emit a flat per-row text list
// instead so the page numbers stay aligned with their section titles
// rather than drifting to a separate column. Format from raw cells
// because continuation-row merging in clean_table_cells collapses
// separate TOC entries (e.g. "6.2 Contamination" + "6.2.1 SWE-bench")
// into one line where sub-entries leave column 0 empty.
if table.kind == TableKind::Toc {
return format_toc_as_list(&table.cells, &[]);
}
// Clean up the table: merge continuation rows, extract footnotes, remove empty rows
let (cleaned_cells, footnotes) = clean_table_cells(&table.cells);
@@ -49,6 +59,201 @@ pub fn table_to_markdown(table: &Table) -> String {
output
}
/// Render a table-of-contents as a flat per-row text block.
///
/// Each row becomes one line: non-empty cells joined with spaces, and the
/// last cell (typically a page number) is separated by a tab so the page
/// numbers stay aligned with their titles instead of being pulled into a
/// separate column by the column-aware reader.
fn format_toc_as_list(cells: &[Vec<String>], footnotes: &[String]) -> String {
let mut output = String::new();
for row in cells {
let trimmed: Vec<&str> = row.iter().map(|c| c.trim()).collect();
let last_idx = trimmed.iter().rposition(|c| !c.is_empty());
let Some(last_idx) = last_idx else {
continue;
};
let last_cell = trimmed[last_idx];
let last_is_page = is_page_number_cell(last_cell);
let (title_cells, trailing) = if last_is_page && last_idx > 0 {
(&trimmed[..last_idx], Some(last_cell))
} else {
(&trimmed[..=last_idx], None)
};
// Skip dots-only cells when joining the title — in a detected TOC
// layout, a "...." cell is a leader separator, not part of the
// entry name.
let title = title_cells
.iter()
.filter(|c| !c.is_empty() && !is_dots_only(c))
.copied()
.collect::<Vec<_>>()
.join(" ");
if title.is_empty() && trailing.is_none() {
continue;
}
if !title.is_empty() {
output.push_str(&title);
}
if let Some(page) = trailing {
if !title.is_empty() {
output.push('\t');
}
output.push_str(page);
}
output.push('\n');
}
if !footnotes.is_empty() {
output.push('\n');
for footnote in footnotes {
output.push_str(footnote);
output.push('\n');
}
}
output
}
/// True when the cell looks like a page number. Accepts:
/// - plain digit tokens: "42", "86 86"
/// - canonical roman numerals (front-matter pages): "vii", "ix", "xii"
/// - dashed section-page IDs: "5-21", "A-1", "B--3", "TC-2" (common in
/// technical manuals)
fn is_page_number_cell(cell: &str) -> bool {
let tokens: Vec<&str> = cell.split_whitespace().collect();
if tokens.is_empty() {
return false;
}
tokens.iter().all(|t| {
if t.is_empty() || t.len() > 8 {
return false;
}
let all_digits = t.chars().all(|c| c.is_ascii_digit());
if all_digits {
return t.len() <= 4;
}
if super::canonical_roman_value(t).is_some() {
return true;
}
// Section-page form: uppercase letters, digits, dashes; at least
// one digit present.
t.chars()
.all(|c| c.is_ascii_digit() || c.is_ascii_uppercase() || c == '-')
&& t.chars().any(|c| c.is_ascii_digit())
})
}
/// True when the cell is purely leader dots (any length ≥ 3) with optional
/// whitespace.
fn is_dots_only(cell: &str) -> bool {
let t = cell.trim();
let dots = t.chars().filter(|&c| c == '.').count();
dots >= 3 && t.chars().all(|c| c == '.' || c.is_whitespace())
}
fn starts_with_uppercase_word(cell: &str) -> bool {
cell.chars()
.find(|c| c.is_alphanumeric())
.is_some_and(|c| c.is_uppercase())
}
fn starts_with_uppercase_alpha(cell: &str) -> bool {
cell.chars()
.find(|c| c.is_alphabetic())
.is_some_and(|c| c.is_uppercase())
}
fn starts_with_lowercase_alpha(cell: &str) -> bool {
cell.chars()
.find(|c| c.is_alphabetic())
.is_some_and(|c| c.is_lowercase())
}
fn starts_with_numbered_label(cell: &str) -> bool {
let trimmed = cell.trim_start();
let digit_count = trimmed.chars().take_while(|c| c.is_ascii_digit()).count();
digit_count > 0
&& digit_count <= 3
&& trimmed
.chars()
.nth(digit_count)
.is_some_and(|c| matches!(c, '.' | ')' | '-' | ':'))
}
fn starts_with_hierarchical_numbered_label(cell: &str) -> bool {
let token = cell
.split_whitespace()
.next()
.unwrap_or("")
.trim_end_matches(['.', ')', ':', '-']);
let levels: Vec<&str> = token.split('.').collect();
(2..=4).contains(&levels.len())
&& levels.iter().all(|level| {
!level.is_empty()
&& level.len() <= 3
&& level.chars().all(|character| character.is_ascii_digit())
})
}
fn alpha_word_count(cell: &str) -> usize {
cell.split_whitespace()
.filter(|word| word.chars().any(|c| c.is_alphabetic()))
.count()
}
fn looks_like_compact_entry_label(cell: &str) -> bool {
let trimmed = cell.trim();
if trimmed.len() < 3 || trimmed.len() > 80 {
return false;
}
if !starts_with_uppercase_alpha(trimmed) && !starts_with_numbered_label(trimmed) {
return false;
}
if trimmed.ends_with(['.', ',', ';', ':']) {
return false;
}
let words = alpha_word_count(trimmed);
(1..=6).contains(&words)
}
fn looks_like_plain_section_label(cell: &str) -> bool {
let trimmed = cell.trim();
if trimmed.len() < 4 || trimmed.len() > 40 {
return false;
}
if trimmed.ends_with(['.', ',', ';', ':']) || trimmed.contains(|ch: char| ch.is_ascii_digit()) {
return false;
}
if trimmed.len() <= 4 && trimmed.chars().all(|ch| !ch.is_lowercase()) {
return false;
}
trimmed
.chars()
.all(|ch| ch.is_alphabetic() || ch.is_whitespace() || matches!(ch, '&' | '/' | '-'))
&& starts_with_uppercase_alpha(trimmed)
&& (1..=4).contains(&alpha_word_count(trimmed))
}
fn ends_like_incomplete_phrase(cell: &str) -> bool {
let lower = cell.trim_end().to_ascii_lowercase();
lower.ends_with(" and")
|| lower.ends_with(" or")
|| lower.ends_with(',')
|| lower.ends_with('-')
|| lower.ends_with('/')
}
/// Clean up table cells: merge continuation rows, extract footnotes, remove empty rows
fn clean_table_cells(cells: &[Vec<String>]) -> (Vec<Vec<String>>, Vec<String>) {
let mut cleaned: Vec<Vec<String>> = Vec::new();
@@ -74,6 +279,9 @@ fn clean_table_cells(cells: &[Vec<String>]) -> (Vec<Vec<String>>, Vec<String>) {
continue;
}
let num_cols = row.len();
let filled_cells = row.iter().filter(|c| !c.trim().is_empty()).count();
// Check if this is a continuation row (first column is empty but others have content).
// A row with only 1 short non-empty cell (besides the first) is more likely a
// section sub-header (e.g. "JAN", "FEB") than overflow text — don't merge it.
@@ -107,26 +315,81 @@ fn clean_table_cells(cells: &[Vec<String>]) -> (Vec<Vec<String>>, Vec<String>) {
let looks_like_data_row = non_first_cells.len() >= 2
&& avg_cell_len <= 10.0
&& numeric_cells > non_first_cells.len() / 2;
let uppercase_leading_cells = non_first_cells
.iter()
.filter(|cell| starts_with_uppercase_word(cell))
.count();
let first_non_empty_col = row.iter().position(|c| !c.trim().is_empty());
let first_non_empty_cell = first_non_empty_col
.and_then(|idx| row.get(idx))
.map(|c| c.trim())
.unwrap_or("");
let title_like_later_cells = first_non_empty_col
.map(|idx| {
row.iter()
.skip(idx + 1)
.map(|c| c.trim())
.filter(|c| !c.is_empty() && starts_with_uppercase_alpha(c))
.count()
})
.unwrap_or(0);
let prev_first_cell_empty = cleaned
.last()
.and_then(|r| r.first())
.is_some_and(|c| c.trim().is_empty());
let prev_first_cell = cleaned
.last()
.and_then(|r| r.first())
.map(|c| c.trim())
.unwrap_or("");
let header_filled = cleaned
.first()
.map(|r| r.iter().filter(|c| !c.trim().is_empty()).count())
.unwrap_or(num_cols);
let looks_like_spanning_first_column_row = first_cell.is_empty()
&& row.len() >= 4
&& non_first_cells.len() == row.len().saturating_sub(1)
&& uppercase_leading_cells >= non_first_cells.len().saturating_sub(1);
// Hierarchical tables often use a row-spanned first column: sub-rows
// leave column 0 blank, then start a compact title-like label in
// column 1. Wrapped continuations in the existing fixtures start
// mid-sentence/lowercase ("continued text here", "with 3.5%...") or
// carry lowercase fragments in the later cells, so keep those mergeable.
let looks_like_hierarchical_subrow = first_cell.is_empty()
&& first_non_empty_col == Some(1)
&& looks_like_compact_entry_label(first_non_empty_cell)
&& ((row.len() == 2 && starts_with_hierarchical_numbered_label(first_non_empty_cell))
|| (row.len() >= 3 && non_first_cells.len() >= 2 && title_like_later_cells > 0)
|| (non_first_cells.len() == 1
&& row.len() >= 3
&& prev_first_cell_empty
&& alpha_word_count(first_non_empty_cell) >= 2));
let looks_like_new_first_column_entry = !first_cell.is_empty()
&& (starts_with_numbered_label(first_cell) || starts_with_uppercase_alpha(first_cell))
&& filled_cells >= 2
&& non_first_cells
.iter()
.any(|cell| looks_like_compact_entry_label(cell));
let looks_like_section_label_row = !first_cell.is_empty()
&& filled_cells == 1
&& header_filled >= 3
&& looks_like_plain_section_label(first_cell);
// Classic continuation: first cell empty, content in other cells
let is_classic_continuation = first_cell.is_empty()
&& !non_first_cells.is_empty()
&& !is_short_subheader
&& !looks_like_data_row
&& !looks_like_spanning_first_column_row
&& !looks_like_hierarchical_subrow
&& cleaned.len() > 1;
// Wrapped-cell continuation: row has fewer filled cells than the header
// row, suggesting it's overflow text from the previous row's cells.
// Only trigger when the previous row has significantly more filled cells.
let num_cols = row.len();
let filled_cells = row.iter().filter(|c| !c.trim().is_empty()).count();
let prev_filled = cleaned
.last()
.map(|r| r.iter().filter(|c| !c.trim().is_empty()).count())
.unwrap_or(0);
let header_filled = cleaned
.first()
.map(|r| r.iter().filter(|c| !c.trim().is_empty()).count())
.unwrap_or(num_cols);
// Merge when the row has significantly fewer filled cells than header.
// For wide tables (5+ cols), require ≤50% of header cells.
// For narrow tables (2-4 cols), require fewer than header cells.
@@ -137,10 +400,18 @@ fn clean_table_cells(cells: &[Vec<String>]) -> (Vec<Vec<String>>, Vec<String>) {
} else {
header_filled.saturating_sub(1)
};
let continues_wrapped_first_column_label = !first_cell.is_empty()
&& starts_with_lowercase_alpha(first_cell)
&& ends_like_incomplete_phrase(prev_first_cell);
let is_wrapped_continuation = cleaned.len() > 1
&& filled_cells <= max_filled_for_merge
&& prev_filled > filled_cells
&& (prev_filled > filled_cells
|| (continues_wrapped_first_column_label && prev_filled >= filled_cells))
&& !looks_like_data_row
&& !looks_like_spanning_first_column_row
&& !looks_like_hierarchical_subrow
&& !looks_like_new_first_column_entry
&& !looks_like_section_label_row
&& !is_short_subheader;
let is_continuation = is_classic_continuation || is_wrapped_continuation;
@@ -286,6 +557,44 @@ mod tests {
assert!(cleaned[1][1].contains("continued text here"));
}
#[test]
fn test_clean_table_cells_first_column_section_label_not_merged() {
let cells = vec![
vec![
"Properties".into(),
"Conditions".into(),
"Method".into(),
"Typical values".into(),
"Units".into(),
],
vec![
"Melt Flow Rate".into(),
"230 C/2.16 kg".into(),
"ASTM D1238".into(),
"3.0".into(),
"g/10 min".into(),
],
vec![
"Mechanical".into(),
"".into(),
"".into(),
"".into(),
"".into(),
],
vec![
"Tensile Stress at Yield".into(),
"50 mm/min".into(),
"ASTM D638".into(),
"31".into(),
"MPa".into(),
],
];
let (cleaned, _) = clean_table_cells(&cells);
assert_eq!(cleaned.len(), 4);
assert_eq!(cleaned[2][0], "Mechanical");
}
#[test]
fn test_clean_table_cells_short_subheader_not_merged() {
let cells = vec![
@@ -310,6 +619,199 @@ mod tests {
assert_eq!(cleaned.len(), 3);
}
#[test]
fn test_clean_table_cells_spanning_first_column_row_not_merged() {
let cells = vec![
vec![
"Category".into(),
"Potentially concerning aspect".into(),
"Summary".into(),
"Intervention".into(),
],
vec![
"Identity & self-knowledge".into(),
"Lack of knowledge".into(),
"Overall negative".into(),
"Describe training".into(),
],
vec![
"".into(),
"Uncertainty around other copies".into(),
"High uncertainty".into(),
"No intervention suggested".into(),
],
];
let (cleaned, _) = clean_table_cells(&cells);
assert_eq!(cleaned.len(), 3);
assert_eq!(cleaned[2][0], "");
assert_eq!(cleaned[2][1], "Uncertainty around other copies");
}
#[test]
fn test_clean_table_cells_numbered_hierarchy_rows_not_overmerged() {
let cells = vec![
vec![
"Group".into(),
"Task".into(),
"Detail".into(),
"Benefit".into(),
],
vec![
"1. Group alpha".into(),
"Task setup and".into(),
"Begin setup".into(),
"Faster start".into(),
],
vec![
"".into(),
"management".into(),
"recommended profile".into(),
"with saved defaults".into(),
],
vec![
"2. Group beta and".into(),
"Storage setup".into(),
"Provides upload tools".into(),
"".into(),
],
vec![
"fine-tuning".into(),
"".into(),
"for filtered inputs".into(),
"service".into(),
],
vec![
"".into(),
"Label workspace".into(),
"Creates review sets".into(),
"Lets teams review".into(),
],
vec![
"".into(),
"Model training".into(),
"".into(),
"Supports custom model".into(),
],
];
let (cleaned, _) = clean_table_cells(&cells);
assert_eq!(cleaned.len(), 5);
assert_eq!(cleaned[1][0], "1. Group alpha");
assert_eq!(cleaned[1][1], "Task setup and management");
assert_eq!(cleaned[2][0], "2. Group beta and fine-tuning");
assert_eq!(cleaned[2][1], "Storage setup");
assert_eq!(cleaned[3][1], "Label workspace");
assert_eq!(cleaned[4][1], "Model training");
}
#[test]
fn test_clean_table_cells_two_column_numbered_subrows_not_merged() {
let cells = vec![
vec!["Area".into(), "Competence".into()],
vec![
"1. Embodying sustainability values".into(),
"1.1 Valuing sustainability".into(),
],
vec!["".into(), "1.2 Supporting fairness".into()],
vec!["".into(), "1.3 Promoting nature".into()],
vec![
"2. Embracing complexity".into(),
"2.1 Systems thinking".into(),
],
vec!["".into(), "2.2 Critical thinking".into()],
];
let (cleaned, _) = clean_table_cells(&cells);
assert_eq!(cleaned.len(), 6);
assert_eq!(cleaned[2], vec!["", "1.2 Supporting fairness"]);
assert_eq!(cleaned[3], vec!["", "1.3 Promoting nature"]);
assert_eq!(cleaned[5], vec!["", "2.2 Critical thinking"]);
}
#[test]
fn test_clean_table_cells_two_column_numbered_continuation_merges() {
let cells = vec![
vec!["Area".into(), "Requirement".into()],
vec!["Safety".into(), "The program includes".into()],
vec!["".into(), "1. First requirement for every operator".into()],
];
let (cleaned, _) = clean_table_cells(&cells);
assert_eq!(cleaned.len(), 2);
assert_eq!(
cleaned[1][1],
"The program includes 1. First requirement for every operator"
);
}
#[test]
fn test_clean_table_cells_partial_hierarchical_subrow_not_merged() {
let cells = vec![
vec![
"Group".into(),
"Task".into(),
"Detail".into(),
"Benefit".into(),
],
vec![
"Group A".into(),
"Alpha task".into(),
"Initial detail".into(),
"Initial benefit".into(),
],
vec![
"".into(),
"Beta task".into(),
"Parallel detail".into(),
"".into(),
],
vec![
"".into(),
"second line".into(),
"additional detail".into(),
"".into(),
],
];
let (cleaned, _) = clean_table_cells(&cells);
assert_eq!(cleaned.len(), 3);
assert_eq!(cleaned[1][1], "Alpha task");
assert_eq!(cleaned[2][0], "");
assert_eq!(cleaned[2][1], "Beta task second line");
assert_eq!(cleaned[2][2], "Parallel detail additional detail");
}
#[test]
fn test_clean_table_cells_full_width_continuation_row_still_merges_when_lowercase() {
let cells = vec![
vec![
"Classification".into(),
"Before tax".into(),
"After tax".into(),
"Standard equipment".into(),
"Options".into(),
],
vec![
"Exclusive Special".into(),
"83,500,000".into(),
"79,275,000".into(),
"Standard equipment".into(),
"Option A".into(),
],
vec![
"".into(),
"with 3.5% individual consumption tax applied".into(),
"with 3.5% individual consumption tax applied".into(),
"lighting(crash pad)".into(),
"sound system".into(),
],
];
let (cleaned, _) = clean_table_cells(&cells);
assert_eq!(cleaned.len(), 2);
assert!(cleaned[1][1].contains("83,500,000"));
assert!(cleaned[1][1].contains("with 3.5%"));
}
#[test]
fn test_clean_table_cells_header_row_not_merged() {
// Continuation requires cleaned.len() > 1 (don't merge into header)
@@ -358,6 +860,7 @@ mod tests {
vec!["Bob".into(), "25".into()],
],
item_indices: vec![],
kind: TableKind::Data,
};
let md = table_to_markdown(&table);
assert!(md.contains("|Name|"));
@@ -373,6 +876,7 @@ mod tests {
rows: vec![500.0],
cells: vec![vec!["Only".into(), "Row".into()]],
item_indices: vec![],
kind: TableKind::Data,
};
let md = table_to_markdown(&table);
assert!(md.contains("|Only|"));
@@ -386,6 +890,7 @@ mod tests {
rows: vec![],
cells: vec![],
item_indices: vec![],
kind: TableKind::Data,
};
assert_eq!(table_to_markdown(&table), "");
}
@@ -401,6 +906,7 @@ mod tests {
vec!["(1)".into(), "Footnote text".into()],
],
item_indices: vec![],
kind: TableKind::Data,
};
let md = table_to_markdown(&table);
assert!(md.contains("(1) Footnote text"));
@@ -416,6 +922,7 @@ mod tests {
vec!["太郎".into(), "25".into()],
],
item_indices: vec![],
kind: TableKind::Data,
};
let md = table_to_markdown(&table);
assert!(md.contains("名前"));
@@ -429,7 +936,47 @@ mod tests {
rows: vec![500.0],
cells: vec![vec![]],
item_indices: vec![],
kind: TableKind::Data,
};
assert_eq!(table_to_markdown(&table), "");
}
#[test]
fn test_table_to_markdown_toc_renders_as_flat_list() {
// A TOC-shaped table with section numbers in col 0 and page numbers
// in the last column should render as a flat list, not a markdown
// table, so the page numbers stay on the same line as their titles.
let table = Table::new(
vec![50.0, 80.0, 300.0],
vec![500.0; 5],
vec![
vec![
"4.3".into(),
"Case studies and targeted evaluations".into(),
"86".into(),
],
vec![
"4.3.1".into(),
"Destructive or reckless actions".into(),
"86".into(),
],
vec![
"4.3.2".into(),
"Adherence to its constitution".into(),
"89".into(),
],
vec!["4.4".into(), "Capability evaluations".into(), "101".into()],
vec!["4.5".into(), "White-box analyses".into(), "113".into()],
],
vec![],
);
assert_eq!(table.kind, TableKind::Toc);
let md = table_to_markdown(&table);
assert!(
!md.contains("|---|"),
"TOC should not render as a markdown table: {md}"
);
assert!(md.contains("4.3 Case studies and targeted evaluations\t86"));
assert!(md.contains("4.5 White-box analyses\t113"));
}
}
+189 -13
View File
@@ -82,33 +82,42 @@ pub(crate) fn find_column_boundaries(
}
}
let mut columns = Vec::new();
let mut cluster_items: Vec<f32> = vec![x_positions[0]];
// Track cluster membership: for each cluster, store the list of x positions
let mut cluster_xs: Vec<Vec<f32>> = vec![vec![x_positions[0]]];
for &x in &x_positions[1..] {
let last_cluster = cluster_xs.last().unwrap();
// For dense columns (gap-histogram triggered), use edge-based clustering:
// compare with the last item to avoid center-drift that merges adjacent
// narrow columns. For normal tables, use center-based (original behavior).
let reference = if use_edge_clustering {
*cluster_items.last().unwrap()
*last_cluster.last().unwrap()
} else {
cluster_items.iter().sum::<f32>() / cluster_items.len() as f32
last_cluster.iter().sum::<f32>() / last_cluster.len() as f32
};
if x - reference > cluster_threshold {
let cluster_center = cluster_items.iter().sum::<f32>() / cluster_items.len() as f32;
columns.push(cluster_center);
cluster_items = vec![x];
cluster_xs.push(vec![x]);
} else {
cluster_items.push(x);
cluster_xs.last_mut().unwrap().push(x);
}
}
// Don't forget last cluster
if !cluster_items.is_empty() {
columns.push(cluster_items.iter().sum::<f32>() / cluster_items.len() as f32);
// Numeric column merge pass: when a sparse cluster (few items, typically
// header text) is adjacent to a dense numeric cluster and within 1.5×
// threshold, merge them. This fixes tables where multi-line wrapped
// headers have slightly different X positions than the data columns,
// causing the header and data to split into separate clusters.
let columns_before_merge = cluster_xs.len();
if columns_before_merge >= 3 {
cluster_xs = merge_numeric_adjacent_clusters(cluster_xs, items, cluster_threshold);
}
let columns: Vec<f32> = cluster_xs
.iter()
.map(|xs| xs.iter().sum::<f32>() / xs.len() as f32)
.collect();
// Filter columns - each should have multiple items
let min_items_per_col = (items.len() / columns.len().max(1) / 4).max(2);
let columns: Vec<f32> = columns
@@ -123,8 +132,9 @@ pub(crate) fn find_column_boundaries(
.collect();
log::debug!(
" find_column_boundaries: {} columns before filter, threshold={:.1}, {} items",
" find_column_boundaries: {} columns (merged from {}), threshold={:.1}, {} items",
columns.len(),
columns_before_merge,
cluster_threshold,
items.len()
);
@@ -148,6 +158,116 @@ pub(crate) fn find_column_boundaries(
columns
}
/// Check if a text string looks like a number (digits, decimals, sign, comma).
fn is_numeric_text(s: &str) -> bool {
let s = s.trim();
if s.is_empty() {
return false;
}
// Match patterns like: 8.23, -1.05, 9.99, 7.12, 100, 3,456.78, +5%, ---
// But NOT: BIO, Department, Core Courses
s.chars()
.all(|c| c.is_ascii_digit() || c == '.' || c == ',' || c == '-' || c == '+' || c == '%')
&& s.chars().any(|c| c.is_ascii_digit())
}
/// Merge adjacent X-position clusters when one is a sparse header cluster
/// and the other is a dense numeric data cluster. This prevents multi-line
/// wrapped headers from splitting a logical column into two clusters.
fn merge_numeric_adjacent_clusters(
mut clusters: Vec<Vec<f32>>,
items: &[(usize, &TextItem)],
threshold: f32,
) -> Vec<Vec<f32>> {
// For each cluster, compute: center, item count, numeric fraction
struct ClusterInfo {
center: f32,
count: usize,
numeric_frac: f32,
}
let compute_info = |xs: &[f32]| -> ClusterInfo {
let center = xs.iter().sum::<f32>() / xs.len() as f32;
// Count items and numeric fraction for items near this cluster center
let mut total = 0;
let mut numeric = 0;
for (_, item) in items {
if (item.x - center).abs() < threshold {
total += 1;
if is_numeric_text(&item.text) {
numeric += 1;
}
}
}
ClusterInfo {
center,
count: total,
numeric_frac: if total > 0 {
numeric as f32 / total as f32
} else {
0.0
},
}
};
// Merge distance: allow merging clusters that are slightly beyond the
// original threshold. Use 1.5× threshold to catch header-vs-data splits.
let merge_dist = threshold * 1.5;
// Iterate and merge adjacent pairs. Use a simple left-to-right scan.
let mut merged = true;
while merged {
merged = false;
let mut i = 0;
while i + 1 < clusters.len() {
let info_a = compute_info(&clusters[i]);
let info_b = compute_info(&clusters[i + 1]);
let dist = (info_b.center - info_a.center).abs();
if dist > merge_dist {
i += 1;
continue;
}
// Determine if one cluster is sparse (header) and the other
// is dense and numeric (data). A cluster is "sparse" if it has
// significantly fewer items than the other.
let (sparse, dense) = if info_a.count < info_b.count {
(&info_a, &info_b)
} else {
(&info_b, &info_a)
};
// Merge if the dense cluster is predominantly numeric (>50%)
// and the sparse cluster has at most 1/3 the items of the dense one.
let should_merge =
dense.numeric_frac > 0.50 && sparse.count <= dense.count / 2 && sparse.count <= 5;
if should_merge {
log::debug!(
" merging column clusters: center {:.1} ({} items, {:.0}% numeric) + {:.1} ({} items, {:.0}% numeric), dist={:.1}",
info_a.center,
info_a.count,
info_a.numeric_frac * 100.0,
info_b.center,
info_b.count,
info_b.numeric_frac * 100.0,
dist,
);
// Merge cluster i+1 into cluster i
let next = clusters.remove(i + 1);
clusters[i].extend(next);
merged = true;
// Don't increment i — check if the merged cluster can merge further
} else {
i += 1;
}
}
}
clusters
}
/// Find row boundaries by clustering Y positions
pub(crate) fn find_row_boundaries(items: &[(usize, &TextItem)]) -> Vec<f32> {
let mut y_positions: Vec<f32> = items.iter().map(|(_, i)| i.y).collect();
@@ -249,6 +369,10 @@ pub(crate) fn join_cell_items(items: &[&TextItem]) -> String {
let prev_ends_with_hyphen = result.ends_with('-');
let curr_is_hyphen = text == "-";
let curr_starts_with_hyphen = text.starts_with('-');
let prev_ends_with_open_delimiter =
result.ends_with('(') || result.ends_with('[') || result.ends_with('{');
let curr_starts_with_close_delimiter =
text.starts_with(')') || text.starts_with(']') || text.starts_with('}');
// Detect subscript/superscript: smaller font size and/or Y offset
let font_ratio = item.font_size / prev_item.font_size;
@@ -265,6 +389,8 @@ pub(crate) fn join_cell_items(items: &[&TextItem]) -> String {
|| curr_starts_with_hyphen
|| is_sub_super
|| was_sub_super
|| prev_ends_with_open_delimiter
|| curr_starts_with_close_delimiter
{
result.push_str(text);
} else {
@@ -310,7 +436,8 @@ pub(crate) fn recover_header_row(
.iter()
.enumerate()
.filter(|(_, item)| {
item.font_size > small_font_threshold
!item.is_strikeout
&& item.font_size > small_font_threshold
&& item.y > first_row_y
&& item.y <= first_row_y + row_gap_limit
})
@@ -379,6 +506,7 @@ pub(crate) fn recover_header_row(
#[cfg(test)]
mod tests {
use super::*;
use crate::tables::TableKind;
use crate::types::ItemType;
fn make_item(text: &str, x: f32, y: f32, font_size: f32) -> TextItem {
@@ -393,6 +521,8 @@ mod tests {
page: 1,
is_bold: false,
is_italic: false,
is_underline: false,
is_strikeout: false,
item_type: ItemType::Text,
mcid: None,
}
@@ -606,6 +736,18 @@ mod tests {
assert_eq!(join_cell_items(&[&a, &b, &c]), "pre-fix");
}
#[test]
fn test_join_cell_items_parenthetical_no_inner_spaces() {
let a = make_item("The first sentence", 100.0, 500.0, 10.0);
let b = make_item("(", 190.0, 500.0, 10.0);
let c = make_item("twice", 195.0, 500.0, 10.0);
let d = make_item(")", 220.0, 500.0, 10.0);
assert_eq!(
join_cell_items(&[&a, &b, &c, &d]),
"The first sentence (twice)"
);
}
#[test]
fn test_join_cell_items_subscript_no_space() {
let a = make_item("H", 100.0, 500.0, 12.0);
@@ -636,6 +778,7 @@ mod tests {
rows: vec![500.0, 480.0],
cells: vec![vec!["A".into(), "B".into()], vec!["C".into(), "D".into()]],
item_indices: vec![2, 3],
kind: TableKind::Data,
};
recover_header_row(&mut table, &all_items, 9.0);
@@ -654,6 +797,7 @@ mod tests {
rows: vec![500.0],
cells: vec![vec!["A".into(), "B".into()]],
item_indices: vec![0, 1],
kind: TableKind::Data,
};
let rows_before = table.rows.len();
@@ -661,6 +805,31 @@ mod tests {
assert_eq!(table.rows.len(), rows_before);
}
#[test]
fn test_recover_header_row_skips_strikeout_candidates() {
let mut old_col1 = make_item("Old Col1", 100.0, 520.0, 12.0);
old_col1.is_strikeout = true;
let mut old_col2 = make_item("Old Col2", 200.0, 520.0, 12.0);
old_col2.is_strikeout = true;
let all_items = vec![
old_col1,
old_col2,
make_item("A", 100.0, 500.0, 8.0),
make_item("B", 200.0, 500.0, 8.0),
];
let mut table = Table {
columns: vec![100.0, 200.0],
rows: vec![500.0, 480.0],
cells: vec![vec!["A".into(), "B".into()], vec!["C".into(), "D".into()]],
item_indices: vec![2, 3],
kind: TableKind::Data,
};
recover_header_row(&mut table, &all_items, 9.0);
assert_eq!(table.rows.len(), 2);
assert_eq!(table.cells[0], vec!["A", "B"]);
}
#[test]
fn test_recover_header_row_too_far_above() {
let all_items = vec![
@@ -674,6 +843,7 @@ mod tests {
rows: vec![500.0, 480.0],
cells: vec![vec!["A".into(), "B".into()], vec!["C".into(), "D".into()]],
item_indices: vec![2, 3],
kind: TableKind::Data,
};
let rows_before = table.rows.len();
@@ -694,6 +864,7 @@ mod tests {
rows: vec![500.0],
cells: vec![vec!["A".into(), "B".into()]],
item_indices: vec![1, 2],
kind: TableKind::Data,
};
let rows_before = table.rows.len();
@@ -709,6 +880,7 @@ mod tests {
rows: vec![],
cells: vec![],
item_indices: vec![],
kind: TableKind::Data,
};
recover_header_row(&mut table, &all_items, 9.0);
@@ -740,6 +912,8 @@ mod tests {
font: String::new(),
is_bold: false,
is_italic: false,
is_underline: false,
is_strikeout: false,
item_type: ItemType::Text,
mcid: None,
page: 1,
@@ -776,6 +950,8 @@ mod tests {
font: String::new(),
is_bold: false,
is_italic: false,
is_underline: false,
is_strikeout: false,
item_type: ItemType::Text,
mcid: None,
page: 1,
+1351 -11
View File
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+972
View File
@@ -0,0 +1,972 @@
//! Structure-recovery-aware (TSR) table assembly.
//!
//! Consumes the raw output of an external table-structure recognition model
//! (e.g. SLANet on PaddleOCR): a flat list of HTML structure tokens plus a
//! parallel list of per-cell bboxes. Pairs each cell open-tag with its bbox
//! in document order, tracks row/column position with rowspan/colspan
//! awareness, and emits a markdown pipe-table.
//!
//! No real HTML parser is needed — the token grammar is restricted (see
//! [`parse_structure`]), so a small state machine is enough.
//!
//! Cell text is supplied separately by the caller (typically by overlap-
//! testing PDF text items against each cell's page-PDF-pt bbox).
use std::collections::{HashMap, HashSet};
/// A single resolved cell, with both structural metadata and its bbox in
/// page PDF-points (top-left origin).
#[derive(Debug, Clone)]
pub struct StructuredCell {
/// 0-indexed grid row.
pub row: usize,
/// 0-indexed grid column.
pub col: usize,
/// 1 for a normal cell.
pub rowspan: usize,
/// 1 for a normal cell.
pub colspan: usize,
/// `true` when the cell is a `<th>` or sits inside `<thead>`.
pub is_header: bool,
/// Cell text (filled in by the caller after overlap-testing PDF items).
pub text: String,
/// Axis-aligned bbox `[x1, y1, x2, y2]` in page PDF-points, top-left origin.
pub page_pt_bbox: [f32; 4],
}
/// Intermediate parse result before the caller fills in text + page coords.
#[derive(Debug, Clone)]
pub(crate) struct CellSlot {
pub row: usize,
pub col: usize,
pub rowspan: usize,
pub colspan: usize,
pub is_header: bool,
/// Index into the parallel `cell_bboxes` array.
pub bbox_idx: usize,
}
/// Parse a sequence of SLANet structure tokens into ordered cell slots.
///
/// Token grammar (no real HTML parsing required):
/// - Section markers: `<thead>`, `</thead>`, `<tbody>`, `</tbody>` and
/// wrapper tokens (`<html>`, `<body>`, `<table>`, plus closing variants)
/// are tracked or skipped.
/// - Row markers: `<tr>` opens a new row, `</tr>` is informational.
/// - Empty cell, single token: `<td></td>` or `<th></th>`.
/// - Cell with attributes, multi-token sequence: `<td` (or `<th`), then
/// attribute fragments like ` colspan="4"`, then `>`, then later `</td>`
/// (or `</th>`). Cells get paired with the next bbox in document order.
///
/// Cells inside `<thead>` and any `<th>` cells are flagged as headers.
/// rowspan/colspan attributes are honoured and prior-row rowspans push
/// later-row cells to the right.
pub(crate) fn parse_structure(tokens: &[String]) -> Vec<CellSlot> {
let mut slots: Vec<CellSlot> = Vec::new();
let mut occupied: HashSet<(usize, usize)> = HashSet::new();
let mut row: usize = 0;
let mut col: usize = 0;
let mut bbox_idx: usize = 0;
let mut in_thead = false;
let mut started_first_row = false;
let mut i = 0;
while i < tokens.len() {
let tok = tokens[i].trim();
match tok {
"<thead>" => {
in_thead = true;
}
"</thead>" => {
in_thead = false;
}
"<tr>" => {
if started_first_row {
row += 1;
}
col = 0;
started_first_row = true;
}
"<td></td>" | "<th></th>" => {
let is_th = tok == "<th></th>";
while occupied.contains(&(row, col)) {
col += 1;
}
slots.push(CellSlot {
row,
col,
rowspan: 1,
colspan: 1,
is_header: in_thead || is_th,
bbox_idx,
});
bbox_idx += 1;
col += 1;
}
"<td" | "<th" => {
let is_th = tok == "<th";
let mut rowspan: usize = 1;
let mut colspan: usize = 1;
// Consume attribute fragments until we hit ">".
i += 1;
while i < tokens.len() && tokens[i].trim() != ">" {
let attr = tokens[i].as_str();
if let Some(v) = parse_int_attr(attr, "rowspan") {
rowspan = v.max(1);
} else if let Some(v) = parse_int_attr(attr, "colspan") {
colspan = v.max(1);
}
i += 1;
}
// i now points at the `>` token (or off the end if malformed).
while occupied.contains(&(row, col)) {
col += 1;
}
slots.push(CellSlot {
row,
col,
rowspan,
colspan,
is_header: in_thead || is_th,
bbox_idx,
});
for r in row..row + rowspan {
for c in col..col + colspan {
occupied.insert((r, c));
}
}
bbox_idx += 1;
col += colspan;
}
// Wrapper / informational tokens — no-op.
_ => {}
}
i += 1;
}
slots
}
/// Parse an attribute fragment like ` colspan="4"` or `rowspan='2'`.
///
/// Tolerates leading whitespace and either single or double quotes.
fn parse_int_attr(s: &str, name: &str) -> Option<usize> {
let trimmed = s.trim();
if !trimmed.starts_with(name) {
return None;
}
let rest = trimmed[name.len()..].trim_start();
let rest = rest.strip_prefix('=')?.trim_start();
let value = rest
.trim_start_matches(['"', '\''])
.trim_end_matches(['"', '\'']);
value.parse().ok()
}
/// Convert a SLANet polygon (4 or 8 elements) into an axis-aligned
/// `[x1, y1, x2, y2]` rect.
///
/// 8-element form: `[x1,y1, x2,y1, x2,y2, x1,y2]` (4 corners). We ignore the
/// implicit corner order and just take min/max so rotated polygons collapse
/// to a sane bounding box.
///
/// 4-element form: `[x1, y1, x2, y2]` (axis-aligned, older SLANet variants).
pub(crate) fn polygon_to_aabb(coords: &[f32]) -> Option<[f32; 4]> {
match coords.len() {
4 => {
let x1 = coords[0].min(coords[2]);
let y1 = coords[1].min(coords[3]);
let x2 = coords[0].max(coords[2]);
let y2 = coords[1].max(coords[3]);
Some([x1, y1, x2, y2])
}
8 => {
let xs = [coords[0], coords[2], coords[4], coords[6]];
let ys = [coords[1], coords[3], coords[5], coords[7]];
let x1 = xs.iter().copied().fold(f32::INFINITY, f32::min);
let y1 = ys.iter().copied().fold(f32::INFINITY, f32::min);
let x2 = xs.iter().copied().fold(f32::NEG_INFINITY, f32::max);
let y2 = ys.iter().copied().fold(f32::NEG_INFINITY, f32::max);
if x1.is_finite() && y1.is_finite() && x2.is_finite() && y2.is_finite() {
Some([x1, y1, x2, y2])
} else {
None
}
}
_ => None,
}
}
/// Convert a cell rect from crop image-pixel space to page PDF-points
/// (top-left origin), given the crop's PDF-point offset on the page and the
/// DPI the crop image was rendered at.
pub(crate) fn cell_px_to_page_pt(
cell_px: [f32; 4],
render_dpi: f32,
crop_origin_pt: [f32; 2],
) -> [f32; 4] {
let pt_per_px = if render_dpi > 0.0 {
72.0 / render_dpi
} else {
1.0
};
let [x_off, y_off] = crop_origin_pt;
[
cell_px[0] * pt_per_px + x_off,
cell_px[1] * pt_per_px + y_off,
cell_px[2] * pt_per_px + x_off,
cell_px[3] * pt_per_px + y_off,
]
}
/// Refine TSR cell bboxes into non-overlapping row/column bands.
///
/// SLANet-style bboxes are often plausible but too tall on dense borderless
/// tables. Native PDF text assignment is more reliable when each parsed row
/// owns the band between neighboring row centers instead of the full model box.
pub(crate) fn normalize_cell_bands(cells: &mut [StructuredCell]) {
if cells.len() < 2 {
return;
}
let row_bands = derive_axis_bands(cells, Axis::Y);
let col_bands = derive_axis_bands(cells, Axis::X);
for cell in cells {
let row_end = cell.row + cell.rowspan.max(1).saturating_sub(1);
if let (Some(&(y1, _)), Some(&(_, y2))) =
(row_bands.get(&cell.row), row_bands.get(&row_end))
{
let clamped_y1 = cell.page_pt_bbox[1].max(y1);
let clamped_y2 = cell.page_pt_bbox[3].min(y2);
if clamped_y1 < clamped_y2 {
cell.page_pt_bbox[1] = clamped_y1;
cell.page_pt_bbox[3] = clamped_y2;
}
}
let col_end = cell.col + cell.colspan.max(1).saturating_sub(1);
if let (Some(&(x1, _)), Some(&(_, x2))) =
(col_bands.get(&cell.col), col_bands.get(&col_end))
{
let clamped_x1 = cell.page_pt_bbox[0].max(x1);
let clamped_x2 = cell.page_pt_bbox[2].min(x2);
if clamped_x1 < clamped_x2 {
cell.page_pt_bbox[0] = clamped_x1;
cell.page_pt_bbox[2] = clamped_x2;
}
}
}
}
#[derive(Clone, Copy)]
enum Axis {
X,
Y,
}
fn derive_axis_bands(cells: &[StructuredCell], axis: Axis) -> HashMap<usize, (f32, f32)> {
let mut by_index: HashMap<usize, Vec<(f32, f32)>> = HashMap::new();
// Prefer non-spanning cells so colspan/rowspan boxes do not skew a single
// column/row center. If an axis has no non-spanning examples for an index,
// fall back to anchored cells below.
for cell in cells {
let span = match axis {
Axis::X => cell.colspan.max(1),
Axis::Y => cell.rowspan.max(1),
};
if span == 1 {
let idx = match axis {
Axis::X => cell.col,
Axis::Y => cell.row,
};
by_index
.entry(idx)
.or_default()
.push(axis_bounds(cell.page_pt_bbox, axis));
}
}
for cell in cells {
let idx = match axis {
Axis::X => cell.col,
Axis::Y => cell.row,
};
if !by_index.contains_key(&idx) {
by_index
.entry(idx)
.or_default()
.push(axis_bounds(cell.page_pt_bbox, axis));
}
}
let mut rows: Vec<(usize, f32, f32, f32)> = by_index
.into_iter()
.filter_map(|(idx, bounds)| {
let mut min_edge = f32::INFINITY;
let mut max_edge = f32::NEG_INFINITY;
let mut center_sum = 0.0;
let mut count = 0usize;
for (lo, hi) in bounds {
if lo.is_finite() && hi.is_finite() && lo < hi {
min_edge = min_edge.min(lo);
max_edge = max_edge.max(hi);
center_sum += (lo + hi) * 0.5;
count += 1;
}
}
(count > 0).then_some((idx, center_sum / count as f32, min_edge, max_edge))
})
.collect();
if rows.len() < 2 {
return rows
.into_iter()
.map(|(idx, _center, lo, hi)| (idx, (lo, hi)))
.collect();
}
rows.sort_by_key(|(idx, _, _, _)| *idx);
let mut bands = HashMap::new();
for i in 0..rows.len() {
let (idx, _center, min_edge, max_edge) = rows[i];
let lo = if i == 0 {
min_edge
} else {
(rows[i - 1].1 + rows[i].1) * 0.5
};
let hi = if i + 1 == rows.len() {
max_edge
} else {
(rows[i].1 + rows[i + 1].1) * 0.5
};
if lo.is_finite() && hi.is_finite() && lo < hi {
bands.insert(idx, (lo, hi));
}
}
bands
}
fn axis_bounds(bbox: [f32; 4], axis: Axis) -> (f32, f32) {
match axis {
Axis::X => (bbox[0].min(bbox[2]), bbox[0].max(bbox[2])),
Axis::Y => (bbox[1].min(bbox[3]), bbox[1].max(bbox[3])),
}
}
/// Sanitize cell text for inclusion in a markdown pipe-table cell:
/// collapse whitespace runs, drop newlines/tabs (cells must be one line),
/// and escape pipes that would otherwise break the table.
fn sanitize_cell(text: &str) -> String {
let mut s = String::with_capacity(text.len());
let mut prev_space = false;
for c in text.chars() {
match c {
'|' => {
s.push_str("\\|");
prev_space = false;
}
'\n' | '\r' | '\t' | ' ' => {
if !prev_space {
s.push(' ');
}
prev_space = true;
}
other => {
s.push(other);
prev_space = false;
}
}
}
s.trim().to_string()
}
/// Render a list of explicitly-positioned cells as a markdown pipe-table.
///
/// Grid dimensions are inferred from the cells' (row, col, rowspan, colspan)
/// extents. A cell with colspan/rowspan > 1 is rendered in its top-left
/// position; the absorbed grid positions are emitted as empty cells so the
/// markdown stays a valid rectangular grid that downstream readers can
/// column-count correctly.
///
/// The separator row (`|---|...|`) is emitted after the **last** row that
/// contains a header cell (`is_header == true`). When no cells are flagged
/// as headers — e.g. the upstream TSR model didn't emit `<thead>`/`<th>` —
/// the separator falls back to "after row 0" so the output is still a
/// valid pipe-table.
pub fn cells_to_markdown(cells: &[StructuredCell]) -> String {
if cells.is_empty() {
return String::new();
}
let num_rows = cells
.iter()
.map(|c| c.row + c.rowspan.max(1))
.max()
.unwrap_or(0);
let num_cols = cells
.iter()
.map(|c| c.col + c.colspan.max(1))
.max()
.unwrap_or(0);
if num_rows == 0 || num_cols == 0 {
return String::new();
}
// Separator goes after the last header row, falling back to row 0 when
// no header cells exist. Clamped into range so a malformed cell with
// row >= num_rows can't push it past the table.
let separator_after_row = cells
.iter()
.filter(|c| c.is_header)
.map(|c| c.row)
.max()
.unwrap_or(0)
.min(num_rows.saturating_sub(1));
let mut grid: Vec<Vec<String>> = vec![vec![String::new(); num_cols]; num_rows];
for cell in cells {
if cell.row < num_rows && cell.col < num_cols {
grid[cell.row][cell.col] = sanitize_cell(&cell.text);
}
}
let mut output = String::new();
for (row_idx, row) in grid.iter().enumerate() {
output.push('|');
for cell in row {
output.push_str(cell);
output.push('|');
}
output.push('\n');
if row_idx == separator_after_row {
output.push('|');
for _ in 0..num_cols {
output.push_str("---|");
}
output.push('\n');
}
}
output
}
#[cfg(test)]
mod tests {
use super::*;
fn t(s: &str) -> String {
s.to_string()
}
/// Tokens for the synthetic 3×3 grid example (one colspan-4 row + two
/// data rows of 4 cells each = 9 cells total, 3 rows × 4 cols).
fn synthetic_3x3_tokens() -> Vec<String> {
vec![
"<html>",
"<body>",
"<table>",
"<tbody>",
"<tr>",
"<td",
" colspan=\"4\"",
">",
"</td>",
"</tr>",
"<tr>",
"<td></td>",
"<td></td>",
"<td></td>",
"<td></td>",
"</tr>",
"<tr>",
"<td></td>",
"<td></td>",
"<td></td>",
"<td></td>",
"</tr>",
"</tbody>",
"</table>",
"</body>",
"</html>",
]
.into_iter()
.map(t)
.collect()
}
/// Bboxes for the synthetic 3×3 grid (8-element polygon form), all
/// within a 400×120 px crop.
fn synthetic_3x3_bboxes() -> Vec<Vec<f32>> {
vec![
vec![3.0, 2.0, 395.0, 2.0, 396.0, 59.0, 3.0, 59.0],
vec![26.0, 62.0, 140.0, 62.0, 141.0, 120.0, 26.0, 120.0],
vec![149.0, 64.0, 248.0, 64.0, 248.0, 119.0, 149.0, 119.0],
vec![257.0, 64.0, 350.0, 64.0, 350.0, 119.0, 257.0, 119.0],
vec![359.0, 64.0, 395.0, 64.0, 395.0, 119.0, 359.0, 119.0],
vec![26.0, 122.0, 140.0, 122.0, 140.0, 178.0, 26.0, 178.0],
vec![149.0, 124.0, 248.0, 124.0, 248.0, 179.0, 149.0, 179.0],
vec![257.0, 124.0, 350.0, 124.0, 350.0, 179.0, 257.0, 179.0],
vec![359.0, 124.0, 395.0, 124.0, 395.0, 179.0, 359.0, 179.0],
]
}
#[test]
fn parse_structure_synthetic_3x3() {
let tokens = synthetic_3x3_tokens();
let slots = parse_structure(&tokens);
assert_eq!(slots.len(), 9, "should parse 9 cells");
// Cell 0: row 0 col 0, colspan 4
assert_eq!(slots[0].row, 0);
assert_eq!(slots[0].col, 0);
assert_eq!(slots[0].colspan, 4);
assert_eq!(slots[0].rowspan, 1);
// Cells 1..5: row 1, cols 0..3
for (i, slot) in slots.iter().enumerate().skip(1).take(4) {
assert_eq!(slot.row, 1, "cell {i}: row should be 1");
assert_eq!(slot.col, i - 1, "cell {i}: col should be {}", i - 1);
assert_eq!(slot.colspan, 1);
assert_eq!(slot.rowspan, 1);
}
// Cells 5..9: row 2, cols 0..3
for (i, slot) in slots.iter().enumerate().skip(5).take(4) {
assert_eq!(slot.row, 2, "cell {i}: row should be 2");
assert_eq!(slot.col, i - 5);
assert_eq!(slot.colspan, 1);
}
}
#[test]
fn polygon_to_aabb_8elt() {
// Synthetic cell bbox 0
let coords = vec![3.0, 2.0, 395.0, 2.0, 396.0, 59.0, 3.0, 59.0];
let aabb = polygon_to_aabb(&coords).unwrap();
assert_eq!(aabb, [3.0, 2.0, 396.0, 59.0]);
}
#[test]
fn polygon_to_aabb_4elt() {
let coords = vec![5.0, 10.0, 50.0, 60.0];
let aabb = polygon_to_aabb(&coords).unwrap();
assert_eq!(aabb, [5.0, 10.0, 50.0, 60.0]);
}
#[test]
fn polygon_to_aabb_4elt_unordered() {
// Caller may pass corners in any order; min/max should normalise.
let coords = vec![50.0, 60.0, 5.0, 10.0];
let aabb = polygon_to_aabb(&coords).unwrap();
assert_eq!(aabb, [5.0, 10.0, 50.0, 60.0]);
}
#[test]
fn polygon_to_aabb_invalid_len() {
assert!(polygon_to_aabb(&[1.0, 2.0, 3.0]).is_none());
assert!(polygon_to_aabb(&[1.0; 6]).is_none());
assert!(polygon_to_aabb(&[]).is_none());
}
#[test]
fn synthetic_3x3_aabbs_inside_crop() {
// All 9 bboxes should produce valid (x1<x2, y1<y2) rects within the
// crop bounds (400 wide, ~180 tall by inspection of the fixture).
let bboxes = synthetic_3x3_bboxes();
assert_eq!(bboxes.len(), 9);
for (i, bb) in bboxes.iter().enumerate() {
let aabb = polygon_to_aabb(bb).unwrap_or_else(|| panic!("bbox {i} invalid"));
assert!(aabb[0] < aabb[2], "bbox {i}: x1 < x2");
assert!(aabb[1] < aabb[3], "bbox {i}: y1 < y2");
assert!(aabb[0] >= 0.0 && aabb[2] <= 500.0, "bbox {i}: within crop");
assert!(aabb[1] >= 0.0 && aabb[3] <= 200.0, "bbox {i}: within crop");
}
}
#[test]
fn normalize_cell_bands_splits_overlapping_slanet_rows() {
let mut cells = vec![
StructuredCell {
row: 0,
col: 0,
rowspan: 1,
colspan: 1,
is_header: true,
text: String::new(),
page_pt_bbox: [10.0, 100.0, 90.0, 120.0],
},
StructuredCell {
row: 0,
col: 1,
rowspan: 1,
colspan: 1,
is_header: true,
text: String::new(),
page_pt_bbox: [90.0, 100.0, 170.0, 120.0],
},
StructuredCell {
row: 1,
col: 0,
rowspan: 1,
colspan: 1,
is_header: false,
text: String::new(),
page_pt_bbox: [10.0, 116.0, 90.0, 136.0],
},
StructuredCell {
row: 1,
col: 1,
rowspan: 1,
colspan: 1,
is_header: false,
text: String::new(),
page_pt_bbox: [90.0, 116.0, 170.0, 136.0],
},
];
normalize_cell_bands(&mut cells);
assert_eq!(cells[0].page_pt_bbox[3], cells[2].page_pt_bbox[1]);
assert_eq!(cells[1].page_pt_bbox[3], cells[3].page_pt_bbox[1]);
assert!(
(cells[0].page_pt_bbox[3] - 118.0).abs() < 0.01,
"row separator should be midpoint between row centers: {:?}",
cells
);
}
#[test]
fn normalize_cell_bands_preserves_colspan_extent() {
let mut cells = vec![
StructuredCell {
row: 0,
col: 0,
rowspan: 1,
colspan: 2,
is_header: true,
text: String::new(),
page_pt_bbox: [8.0, 80.0, 172.0, 98.0],
},
StructuredCell {
row: 1,
col: 0,
rowspan: 1,
colspan: 1,
is_header: false,
text: String::new(),
page_pt_bbox: [10.0, 96.0, 90.0, 114.0],
},
StructuredCell {
row: 1,
col: 1,
rowspan: 1,
colspan: 1,
is_header: false,
text: String::new(),
page_pt_bbox: [88.0, 96.0, 170.0, 114.0],
},
];
normalize_cell_bands(&mut cells);
assert!(
cells[0].page_pt_bbox[0] <= cells[1].page_pt_bbox[0],
"spanning cell should retain the first column's left edge"
);
assert!(
cells[0].page_pt_bbox[2] >= cells[2].page_pt_bbox[2],
"spanning cell should retain the last column's right edge"
);
}
#[test]
fn parse_int_attr_basic() {
assert_eq!(parse_int_attr(" colspan=\"4\"", "colspan"), Some(4));
assert_eq!(parse_int_attr(" rowspan=\"2\"", "rowspan"), Some(2));
assert_eq!(parse_int_attr("colspan='3'", "colspan"), Some(3));
assert_eq!(parse_int_attr(" colspan=\"4\"", "rowspan"), None);
assert_eq!(parse_int_attr(" class=\"foo\"", "colspan"), None);
}
#[test]
fn parse_structure_rowspan_pushes_next_row_right() {
// <tr><td rowspan="2">A</td><td>B</td></tr><tr><td>C</td></tr>
// Expected: A at (0,0), B at (0,1), C at (1,1) — col 0 of row 1
// is occupied by A's rowspan.
let tokens: Vec<String> = vec![
"<table>",
"<tbody>",
"<tr>",
"<td",
" rowspan=\"2\"",
">",
"</td>",
"<td></td>",
"</tr>",
"<tr>",
"<td></td>",
"</tr>",
"</tbody>",
"</table>",
]
.into_iter()
.map(t)
.collect();
let slots = parse_structure(&tokens);
assert_eq!(slots.len(), 3);
assert_eq!((slots[0].row, slots[0].col), (0, 0));
assert_eq!(slots[0].rowspan, 2);
assert_eq!((slots[1].row, slots[1].col), (0, 1));
// C should be at (1, 1) because (1, 0) is occupied by A's rowspan.
assert_eq!((slots[2].row, slots[2].col), (1, 1));
}
#[test]
fn parse_structure_thead_marks_headers() {
// <thead><tr><th>H1</th><th>H2</th></tr></thead>
// <tbody><tr><td>D1</td><td>D2</td></tr></tbody>
let tokens: Vec<String> = vec![
"<table>",
"<thead>",
"<tr>",
"<th></th>",
"<th></th>",
"</tr>",
"</thead>",
"<tbody>",
"<tr>",
"<td></td>",
"<td></td>",
"</tr>",
"</tbody>",
"</table>",
]
.into_iter()
.map(t)
.collect();
let slots = parse_structure(&tokens);
assert_eq!(slots.len(), 4);
assert!(slots[0].is_header && slots[1].is_header);
assert!(!slots[2].is_header && !slots[3].is_header);
}
#[test]
fn parse_structure_th_outside_thead_still_header() {
// A row-header style: leading <th> in tbody.
let tokens: Vec<String> = vec![
"<table>",
"<tbody>",
"<tr>",
"<th></th>",
"<td></td>",
"</tr>",
"</tbody>",
"</table>",
]
.into_iter()
.map(t)
.collect();
let slots = parse_structure(&tokens);
assert_eq!(slots.len(), 2);
assert!(slots[0].is_header);
assert!(!slots[1].is_header);
}
#[test]
fn parse_structure_th_with_attrs() {
let tokens: Vec<String> = vec![
"<table>",
"<thead>",
"<tr>",
"<th",
" colspan=\"2\"",
">",
"</th>",
"</tr>",
"</thead>",
"</table>",
]
.into_iter()
.map(t)
.collect();
let slots = parse_structure(&tokens);
assert_eq!(slots.len(), 1);
assert_eq!(slots[0].colspan, 2);
assert!(slots[0].is_header);
}
#[test]
fn cells_to_markdown_synthetic_3x3() {
// Build the cells the parser would produce for the synthetic grid,
// and provide some sample text so we can sanity-check output.
let cells = vec![
StructuredCell {
row: 0,
col: 0,
rowspan: 1,
colspan: 4,
is_header: false,
text: "Title".into(),
page_pt_bbox: [0.0, 0.0, 0.0, 0.0],
},
StructuredCell {
row: 1,
col: 0,
rowspan: 1,
colspan: 1,
is_header: false,
text: "a".into(),
page_pt_bbox: [0.0, 0.0, 0.0, 0.0],
},
StructuredCell {
row: 1,
col: 1,
rowspan: 1,
colspan: 1,
is_header: false,
text: "b".into(),
page_pt_bbox: [0.0, 0.0, 0.0, 0.0],
},
StructuredCell {
row: 1,
col: 2,
rowspan: 1,
colspan: 1,
is_header: false,
text: "c".into(),
page_pt_bbox: [0.0, 0.0, 0.0, 0.0],
},
StructuredCell {
row: 1,
col: 3,
rowspan: 1,
colspan: 1,
is_header: false,
text: "d".into(),
page_pt_bbox: [0.0, 0.0, 0.0, 0.0],
},
];
let md = cells_to_markdown(&cells);
// Header row contains the spanning cell text in col 0 and pads to 4 cols.
// Absorbed-by-colspan positions render as empty cells (no padding).
assert!(md.starts_with("|Title||||\n"), "got: {md}");
assert!(md.contains("|---|---|---|---|\n"));
assert!(md.contains("|a|b|c|d|\n"));
}
#[test]
fn cells_to_markdown_escapes_pipes() {
let cells = vec![
StructuredCell {
row: 0,
col: 0,
rowspan: 1,
colspan: 1,
is_header: false,
text: "a|b".into(),
page_pt_bbox: [0.0, 0.0, 0.0, 0.0],
},
StructuredCell {
row: 0,
col: 1,
rowspan: 1,
colspan: 1,
is_header: false,
text: "x".into(),
page_pt_bbox: [0.0, 0.0, 0.0, 0.0],
},
];
let md = cells_to_markdown(&cells);
assert!(md.contains("|a\\|b|x|"));
}
#[test]
fn cells_to_markdown_collapses_whitespace_and_newlines() {
let cells = vec![StructuredCell {
row: 0,
col: 0,
rowspan: 1,
colspan: 1,
is_header: false,
text: "foo \n bar\tbaz".into(),
page_pt_bbox: [0.0, 0.0, 0.0, 0.0],
}];
let md = cells_to_markdown(&cells);
assert!(md.contains("|foo bar baz|"));
}
fn cell(row: usize, col: usize, is_header: bool, text: &str) -> StructuredCell {
StructuredCell {
row,
col,
rowspan: 1,
colspan: 1,
is_header,
text: text.into(),
page_pt_bbox: [0.0, 0.0, 0.0, 0.0],
}
}
#[test]
fn cells_to_markdown_separator_after_last_header_row() {
// Two-row header (a multi-row thead), then two body rows. Separator
// should land after row 1 (the LAST header row), not after row 0.
let cells = vec![
cell(0, 0, true, "H0a"),
cell(0, 1, true, "H0b"),
cell(1, 0, true, "H1a"),
cell(1, 1, true, "H1b"),
cell(2, 0, false, "d0a"),
cell(2, 1, false, "d0b"),
cell(3, 0, false, "d1a"),
cell(3, 1, false, "d1b"),
];
let md = cells_to_markdown(&cells);
let expected = "|H0a|H0b|\n|H1a|H1b|\n|---|---|\n|d0a|d0b|\n|d1a|d1b|\n";
assert_eq!(md, expected, "got: {md}");
}
#[test]
fn cells_to_markdown_separator_when_row_0_not_header() {
// Row 0 is not flagged as a header but row 1 is. Separator should
// follow row 1 (the header), demonstrating that we don't blindly
// emit after row 0.
let cells = vec![
cell(0, 0, false, "x0a"),
cell(0, 1, false, "x0b"),
cell(1, 0, true, "Hdr1"),
cell(1, 1, true, "Hdr2"),
cell(2, 0, false, "data1"),
cell(2, 1, false, "data2"),
];
let md = cells_to_markdown(&cells);
// Confirm the separator is NOT after row 0.
assert!(!md.starts_with("|x0a|x0b|\n|---|"), "got: {md}");
// Confirm it IS after row 1.
assert!(
md.contains("|Hdr1|Hdr2|\n|---|---|\n|data1|data2|"),
"got: {md}"
);
}
#[test]
fn cells_to_markdown_no_headers_falls_back_to_row_0() {
// No header cells at all — fallback: separator after row 0 so the
// output is still a valid markdown pipe-table.
let cells = vec![
cell(0, 0, false, "a"),
cell(0, 1, false, "b"),
cell(1, 0, false, "c"),
cell(1, 1, false, "d"),
];
let md = cells_to_markdown(&cells);
assert_eq!(md, "|a|b|\n|---|---|\n|c|d|\n");
}
}
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//! Text-quality detection: deciding when an extracted text layer is too broken
//! to serve and a page should fall back to OCR.
//!
//! Extraction can produce plausible-looking bytes that are actually garbage —
//! failed CID→Unicode mappings, broken ToUnicode CMaps, mojibake. These
//! detectors catch that and let callers set `needs_ocr`. They come in two
//! layers, sharing the same primitives:
//!
//! - **Markdown-level** ([`detect_encoding_issues`], [`is_garbage_text`],
//! [`is_cid_garbage`]) run on a page's final markdown string. Used as a
//! backstop on the region-extraction and whole-document paths.
//! - **Item/span-level** ([`analyze_text_quality`],
//! [`region_items_have_decoding_issue`]) run on individual `TextItem`s and
//! accumulate per-page evidence, so localized garbled spans on an otherwise
//! clean page are caught without a single span having to condemn the page.
//!
//! Detection classes, roughly by signal:
//! - **Replacement runs**: U+FFFD clusters ([`has_replacement_text_run`]).
//! - **Private-use / C1-control runs**: CID passthrough landing in PUA or the
//! C1 block ([`has_private_use_text_run`], [`has_cid_control_token`]).
//! - **Dollar-as-space**: `Word$Word$Word` from broken CMaps
//! ([`has_dollar_as_space_pattern`]).
//! - **Non-alphanumeric dominance**: symbol soup ([`is_garbage_text`]).
//! - **Substitution-cipher letter statistics**: pure-ASCII output whose letter
//! distribution is a permutation of natural language ([`CipherGarbleStats`]).
use crate::types::TextItem;
use crate::{add_ocr_reason, OCR_REASON_SUSPECTED_GARBLED_TEXT};
use std::collections::BTreeMap;
/// Detect broken font encodings in extracted markdown text.
///
/// Two heuristics:
/// 1. **U+FFFD**: Any replacement character indicates decode failures.
/// 2. **Dollar-as-space**: Pattern like `Word$Word$Word` where `$` is used as a
/// word separator due to broken ToUnicode CMaps. Triggers when either:
/// - More than 50% of `$` are between letters (clear substitution pattern), OR
/// - More than 20 letter-dollar-letter occurrences (even if some `$` are also
/// used as trailing/leading separators, 20+ is far beyond normal financial text).
pub(crate) fn detect_encoding_issues(markdown: &str) -> bool {
// Heuristic 1: U+FFFD replacement characters
if markdown.contains('\u{FFFD}') {
return true;
}
// Heuristic 2: dollar-as-space pattern
if has_dollar_as_space_pattern(markdown) {
return true;
}
// Heuristic 3: substitution-cipher letter statistics (broken ToUnicode)
let mut stats = CipherGarbleStats::default();
stats.add_text(markdown);
stats.looks_garbled()
}
fn has_dollar_as_space_pattern(markdown: &str) -> bool {
let total_dollars = markdown.matches('$').count();
if total_dollars > 10 {
let bytes = markdown.as_bytes();
let mut letter_dollar_letter = 0usize;
for i in 1..bytes.len().saturating_sub(1) {
if bytes[i] == b'$'
&& bytes[i - 1].is_ascii_alphabetic()
&& bytes[i + 1].is_ascii_alphabetic()
{
letter_dollar_letter += 1;
}
}
if letter_dollar_letter > 20 || letter_dollar_letter * 2 > total_dollars {
return true;
}
}
false
}
/// English letter frequencies (percent, az). Used as a natural-language
/// reference: every Latin-script language in the eval corpus (Swedish,
/// Finnish, Turkish, German, romaji) scores ≥ 0.80 cosine similarity against
/// it, while substitution-cipher text scores ~0.53.
const ENGLISH_LETTER_FREQ: [f64; 26] = [
8.2, 1.5, 2.8, 4.3, 12.7, 2.2, 2.0, 6.1, 7.0, 0.15, 0.8, 4.0, 2.4, 6.7, 7.5, 1.9, 0.1, 6.0,
6.3, 9.1, 2.8, 1.0, 2.4, 0.15, 2.0, 0.07,
];
/// Letter statistics for detecting substitution-cipher garbling: broken
/// ToUnicode CMaps that shift every character by a per-range constant (e.g.
/// `Certificate` extracted as `8VceZWZTReV`). Such text is 100% printable
/// ASCII with word-like token lengths, so it defeats `is_garbage_text` and
/// produces no replacement characters — it needs its own discriminator.
#[derive(Debug, Default)]
struct CipherGarbleStats {
/// Case-folded ASCII letter histogram.
letter_counts: [u32; 26],
ascii_letters: usize,
ascii_vowels: usize,
/// Accented Latin letters (Latin-1 Supplement through Latin Extended-B,
/// plus Latin Extended Additional). Count toward Latin dominance only.
latin_ext_letters: usize,
non_latin_letters: usize,
/// Adjacent ASCII-letter pairs, and how many of them switch from
/// lowercase straight to uppercase mid-word.
letter_bigrams: usize,
case_shift_bigrams: usize,
}
impl CipherGarbleStats {
fn add_text(&mut self, text: &str) {
let mut prev: Option<char> = None;
for ch in text.chars() {
if ch.is_ascii_alphabetic() {
let idx = (ch.to_ascii_lowercase() as u8 - b'a') as usize;
self.letter_counts[idx] += 1;
self.ascii_letters += 1;
if matches!(ch.to_ascii_lowercase(), 'a' | 'e' | 'i' | 'o' | 'u') {
self.ascii_vowels += 1;
}
if let Some(p) = prev {
self.letter_bigrams += 1;
if p.is_ascii_lowercase() && ch.is_ascii_uppercase() {
self.case_shift_bigrams += 1;
}
}
prev = Some(ch);
} else {
if ch.is_alphabetic() {
if matches!(ch as u32, 0xC0..=0x24F | 0x1E00..=0x1EFF) {
self.latin_ext_letters += 1;
} else {
self.non_latin_letters += 1;
}
}
prev = None;
}
}
}
/// Cosine similarity between the observed letter histogram and English
/// letter frequencies. A shifted alphabet permutes the histogram, which
/// destroys the similarity regardless of the shift amount.
fn english_cosine(&self) -> f64 {
if self.ascii_letters == 0 {
return 1.0;
}
let n = self.ascii_letters as f64;
let mut dot = 0.0;
let mut norm_obs = 0.0;
for (count, freq) in self.letter_counts.iter().zip(ENGLISH_LETTER_FREQ) {
let p = *count as f64 / n;
dot += p * freq;
norm_obs += p * p;
}
let norm_en = ENGLISH_LETTER_FREQ
.iter()
.map(|f| f * f)
.sum::<f64>()
.sqrt();
dot / (norm_obs.sqrt() * norm_en)
}
/// Cosine similarity between the observed histogram and English
/// frequencies after sorting BOTH descending — i.e. comparing the *shape*
/// of the frequency profile, ignoring which letter sits where. A
/// substitution cipher is a bijection, so it preserves this shape exactly
/// (att10k 0.97, arbitrary shifts 0.99) regardless of case or offset.
/// Non-linguistic ASCII has a different profile: a small alphabet is far
/// steeper (random DNA 0.74, hex dumps 0.81), so the shape diverges.
fn english_shape_cosine(&self) -> f64 {
if self.ascii_letters == 0 {
return 1.0;
}
let n = self.ascii_letters as f64;
let mut obs: [f64; 26] = std::array::from_fn(|i| self.letter_counts[i] as f64 / n);
obs.sort_unstable_by(|a, b| b.total_cmp(a));
let mut en = ENGLISH_LETTER_FREQ;
en.sort_unstable_by(|a, b| b.total_cmp(a));
let dot: f64 = obs.iter().zip(en).map(|(o, e)| o * e).sum();
let norm_obs = obs.iter().map(|o| o * o).sum::<f64>().sqrt();
let norm_en = en.iter().map(|e| e * e).sum::<f64>().sqrt();
dot / (norm_obs * norm_en)
}
/// Thresholds validated against the 380-document pdf-evals snapshot
/// corpus (0 false positives) and the garbled ParseBench `att10k` page
/// (vowel ratio 0.245, case-shift rate 0.225, cosine 0.532). Closest
/// legitimate document on each axis: vowel ratio 0.264 (circuit
/// schematic), case-shift rate 0.021, cosine 0.801.
fn looks_garbled(&self) -> bool {
// Need a statistically meaningful, Latin-dominant sample.
if self.ascii_letters < 200
|| self.non_latin_letters > self.ascii_letters + self.latin_ext_letters
{
return false;
}
// Real Latin-script text keeps vowels above ~30% of letters even in
// acronym- and part-number-heavy documents; shifted text starves them.
let vowel_ratio = self.ascii_vowels as f64 / self.ascii_letters as f64;
if vowel_ratio > 0.30 {
return false;
}
// Signal 1: lowercase→uppercase transitions inside words. A shifted
// lowercase alphabet straddles the ASCII uppercase block ('i'→'Z',
// 't'→'e'), so garbled words flip case constantly. Real documents
// stay ≤ 0.02 even with camelCase identifiers.
let case_shifts = self.letter_bigrams >= 100
&& self.case_shift_bigrams as f64 >= self.letter_bigrams as f64 * 0.10;
// Signal 2: the histogram is a permutation of natural language — an
// English-like frequency SHAPE (sorted cosine high) but with letters
// in the wrong POSITIONS (unsorted cosine low). This is the signature
// of a substitution cipher and is case-independent, so it catches
// all-lowercase and all-uppercase shifts as well as case-straddling
// ones. Genuinely non-linguistic ASCII that is merely "unlike English"
// fails one of the two halves: DNA/hex dumps have too steep a profile
// (shape cosine < 0.90), while protein sequences, ticker symbols and
// base64 are not sufficiently unlike English in position (unsorted
// cosine ≥ 0.60) — so none of them are routed to OCR.
let permuted_language = self.english_cosine() < 0.60 && self.english_shape_cosine() >= 0.90;
case_shifts || permuted_language
}
}
#[derive(Debug, Default)]
pub(crate) struct TextQualityReport {
pub(crate) pages_needing_ocr: Vec<u32>,
pub(crate) has_encoding_issues: bool,
pub(crate) reasons_by_page: BTreeMap<u32, Vec<String>>,
}
#[derive(Debug, Default)]
struct PageTextQualityEvidence {
chars: usize,
replacement_chars: usize,
replacement_spans: usize,
longest_replacement_run: usize,
cipher_garble: CipherGarbleStats,
}
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
enum TextSpanIssueKind {
Replacement,
Strong,
}
pub(crate) fn analyze_text_quality(items: &[TextItem]) -> TextQualityReport {
let mut reasons_by_page = BTreeMap::new();
let mut evidence_by_page = BTreeMap::<u32, PageTextQualityEvidence>::new();
for item in items {
if !matches!(item.item_type, crate::types::ItemType::Text) {
continue;
}
let evidence = evidence_by_page.entry(item.page).or_default();
evidence.chars += item.text.chars().filter(|ch| !ch.is_whitespace()).count();
evidence.cipher_garble.add_text(&item.text);
match text_span_decoding_issue_kind(&item.text) {
Some(TextSpanIssueKind::Strong) => {
add_ocr_reason(
&mut reasons_by_page,
item.page,
OCR_REASON_SUSPECTED_GARBLED_TEXT,
);
}
Some(TextSpanIssueKind::Replacement) => {
let stats = replacement_text_stats(&item.text);
evidence.replacement_chars += stats.0;
evidence.replacement_spans += 1;
evidence.longest_replacement_run = evidence.longest_replacement_run.max(stats.1);
}
None => {}
}
}
for (page, evidence) in evidence_by_page {
if reasons_by_page.contains_key(&page) {
continue;
}
if page_replacement_evidence_needs_ocr(&evidence) || evidence.cipher_garble.looks_garbled()
{
add_ocr_reason(
&mut reasons_by_page,
page,
OCR_REASON_SUSPECTED_GARBLED_TEXT,
);
}
}
let pages_needing_ocr: Vec<u32> = reasons_by_page.keys().copied().collect();
TextQualityReport {
has_encoding_issues: !pages_needing_ocr.is_empty(),
pages_needing_ocr,
reasons_by_page,
}
}
pub(crate) fn region_items_have_decoding_issue(items: &[TextItem]) -> bool {
items.iter().any(|item| {
matches!(item.item_type, crate::types::ItemType::Text)
&& text_span_has_decoding_issue(&item.text)
})
}
fn text_span_has_decoding_issue(text: &str) -> bool {
text_span_decoding_issue_kind(text).is_some()
}
fn text_span_decoding_issue_kind(text: &str) -> Option<TextSpanIssueKind> {
let text = text.trim();
if text.is_empty() {
return None;
}
if has_dollar_as_space_pattern(text)
|| has_private_use_text_run(text)
|| is_cid_garbage(text)
|| has_cid_control_token(text)
{
return Some(TextSpanIssueKind::Strong);
}
if has_replacement_text_run(text) {
return Some(TextSpanIssueKind::Replacement);
}
None
}
fn replacement_text_stats(text: &str) -> (usize, usize) {
let mut replacement = 0usize;
let mut current_run = 0usize;
let mut longest_run = 0usize;
for ch in text.chars() {
if ch == '\u{FFFD}' {
replacement += 1;
current_run += 1;
longest_run = longest_run.max(current_run);
} else {
current_run = 0;
}
}
(replacement, longest_run)
}
fn page_replacement_evidence_needs_ocr(evidence: &PageTextQualityEvidence) -> bool {
if evidence.replacement_chars == 0 || evidence.chars == 0 {
return false;
}
// If the entire page is only a short broken text layer, even a short
// replacement run is enough evidence. On otherwise text-heavy pages,
// require density so math formulas do not force full-page OCR.
if evidence.chars <= 80 && evidence.longest_replacement_run >= 2 {
return true;
}
let replacement_density_bps = evidence.replacement_chars * 10_000 / evidence.chars;
let enough_bad_text = evidence.replacement_chars >= 12 && replacement_density_bps >= 500;
let repeated_bad_spans = evidence.replacement_spans >= 3 && replacement_density_bps >= 250;
let long_bad_run = evidence.longest_replacement_run >= 8 && replacement_density_bps >= 250;
enough_bad_text || repeated_bad_spans || long_bad_run
}
fn has_replacement_text_run(text: &str) -> bool {
let (replacement, longest_run) = replacement_text_stats(text);
longest_run >= 2 || replacement >= 3
}
fn has_private_use_text_run(text: &str) -> bool {
let mut total = 0usize;
let mut private_use = 0usize;
let mut current_run = 0usize;
let mut longest_run = 0usize;
for ch in text.chars() {
if ch.is_whitespace() {
current_run = 0;
continue;
}
total += 1;
if is_private_use_char(ch) {
private_use += 1;
current_run += 1;
longest_run = longest_run.max(current_run);
} else {
current_run = 0;
}
}
if private_use == 0 {
return false;
}
longest_run >= 3 || (total >= 5 && private_use >= 2 && private_use * 2 >= total)
}
fn has_cid_control_token(text: &str) -> bool {
text.split_whitespace().any(token_has_cid_control)
}
fn token_has_cid_control(token: &str) -> bool {
let mut total = 0usize;
let mut c1_control = 0usize;
for ch in token.chars() {
total += 1;
if ('\u{0080}'..='\u{009F}').contains(&ch) {
c1_control += 1;
}
}
total >= 5 && c1_control >= 2 && c1_control * 20 >= total
}
fn is_private_use_char(ch: char) -> bool {
matches!(
ch as u32,
0xE000..=0xF8FF | 0xF0000..=0xFFFFD | 0x100000..=0x10FFFD
)
}
/// Check if extracted text is predominantly garbage (non-alphanumeric).
///
/// Broken font encodings produce text like "----1-.-.-.___ --.-. .._ I_---."
/// where most characters are punctuation/symbols. Real text in any language
/// has >50% alphanumeric characters.
pub(crate) fn is_garbage_text(markdown: &str) -> bool {
let mut alphanum = 0usize;
let mut non_alphanum = 0usize;
let chars: Vec<char> = markdown.chars().collect();
let mut i = 0usize;
while i < chars.len() {
let ch = chars[i];
let mut run_end = i + 1;
while run_end < chars.len() && chars[run_end] == ch {
run_end += 1;
}
let is_decorative_leader = matches!(ch, '.' | '_' | '·') && run_end - i >= 3;
if !is_decorative_leader {
for &run_ch in &chars[i..run_end] {
if run_ch.is_whitespace() {
continue;
}
// Skip markdown syntax chars that we add (not from the PDF)
if matches!(run_ch, '#' | '*' | '|' | '-' | '\n') {
continue;
}
if run_ch.is_alphanumeric() {
alphanum += 1;
} else {
non_alphanum += 1;
}
}
}
i = run_end;
}
let total = alphanum + non_alphanum;
total >= 50 && alphanum * 2 < total
}
/// Detect garbage from failed CID-to-Unicode mapping on Identity-H fonts.
///
/// When CID values don't correspond to Unicode codepoints, the raw bytes often
/// produce characters in the C1 control range (U+0080U+009F) or Private Use
/// Area, mixed with random Latin Extended characters. Valid text in any
/// language almost never contains C1 controls. We also fall back to the
/// general `is_garbage_text` check for non-alphanumeric-heavy patterns.
pub(crate) fn is_cid_garbage(text: &str) -> bool {
if is_garbage_text(text) {
return true;
}
let mut total = 0usize;
let mut c1_control = 0usize;
let mut high_latin = 0usize;
for ch in text.chars() {
if ch.is_whitespace() {
continue;
}
total += 1;
// C1 control characters (U+0080U+009F) — almost never in real text
if ch == '·' {
continue;
}
if ('\u{0080}'..='\u{009F}').contains(&ch) {
c1_control += 1;
}
// High Latin-1 (U+00A0U+00FF) — legitimate in Western European text
// but when combined with ASCII in CID passthrough, indicates mojibake
// from CID values being misinterpreted as Latin-1 characters.
if ('\u{00A0}'..='\u{00FF}').contains(&ch) {
high_latin += 1;
}
}
if total < 5 {
return false;
}
// If ≥5% of non-whitespace chars are C1 controls, it's garbage
if c1_control >= 2 && c1_control * 20 >= total {
return true;
}
// If ≥40% of non-whitespace chars are high Latin-1 AND the text has few
// ASCII letters, it's likely CID-as-Latin-1 mojibake (Japanese/CJK PDFs
// where CID values 0x80-0xFF become accented Latin characters). Keep a
// minimum length so short math tokens like "2×()×" do not route a clean
// page to OCR.
let ascii_letters = text.chars().filter(|c| c.is_ascii_alphabetic()).count();
total >= 20 && high_latin * 5 >= total * 2 && ascii_letters * 3 < total
}
+97
View File
@@ -7,6 +7,83 @@
use crate::types::TextItem;
use unicode_normalization::UnicodeNormalization;
/// Return whether text is an explicit page-number expression.
///
/// This strict form is suitable before layout, where removing one numeric item
/// from substantive text such as `Page 42 explains the result` would lose data.
pub(crate) fn is_explicit_page_number_expression(text: &str) -> bool {
let trimmed = text.trim();
if trimmed.is_empty() {
return false;
}
let is_number = |value: &str| {
!value.is_empty() && value.chars().all(|character| character.is_ascii_digit())
};
if trimmed.len() <= 4 && is_number(trimmed) {
return true;
}
if trimmed.len() >= 3 && trimmed.starts_with('-') && trimmed.ends_with('-') {
let inner = trimmed[1..trimmed.len() - 1].trim();
if is_number(inner) {
return true;
}
}
let lowercase = trimmed.to_ascii_lowercase();
if let Some(rest) = lowercase.strip_prefix("page") {
let words: Vec<&str> = rest.split_whitespace().collect();
if words.len() >= 3 && is_number(words[0]) && words[1] == "of" && is_number(words[2]) {
return true;
}
if words.len() >= 2 && words[0] == "of" && is_number(words[1]) {
return true;
}
return match words.as_slice() {
[] | ["of"] => true,
[number] => is_number(number),
["of", total] => is_number(total),
[number, "of", total] => is_number(number) && is_number(total),
_ => false,
};
}
let words: Vec<&str> = lowercase.split_whitespace().collect();
match words.as_slice() {
[number, "of", total] => is_number(number) && is_number(total),
_ => false,
}
}
/// Return whether a completed Markdown line looks like a page number or a
/// labeled running header.
///
/// At this stage the complete line and surrounding breaks are available, so a
/// leading `Page N` remains compatible with the existing header cleanup even
/// when the PDF appends a chapter or document title.
pub(crate) fn is_page_number_line(text: &str) -> bool {
if is_explicit_page_number_expression(text) {
return true;
}
let lowercase = text.trim().to_ascii_lowercase();
lowercase.strip_prefix("page").is_some_and(|rest| {
let mut characters = rest.trim_start().chars().peekable();
let mut has_page_number = false;
while characters
.peek()
.is_some_and(|character| character.is_ascii_digit())
{
has_page_number = true;
characters.next();
}
has_page_number && characters.next().is_none_or(char::is_whitespace)
})
}
/// Check if a character is CJK (Chinese, Japanese, Korean).
/// CJK languages don't use spaces between words, so word-boundary
/// heuristics should not apply when CJK characters are involved.
@@ -93,6 +170,9 @@ pub fn is_bold_font(font_name: &str) -> bool {
|| lower.contains("extrabold")
|| lower.contains("ultrabold")
|| lower.contains("medium") && !lower.contains("mediumitalic") // Some fonts use Medium for semi-bold
// URW Type 1 fonts abbreviate Medium as "Medi" (e.g. NimbusRomNo9L-Medi,
// the Times-Bold substitute in LaTeX documents; -MediItal is bold italic).
|| lower.contains("-medi") && !lower.contains("mediumital")
}
/// Detect if a font name indicates italic/oblique style
@@ -762,6 +842,17 @@ mod tests {
use super::*;
use crate::types::ItemType;
#[test]
fn bold_font_urw_medi_abbreviation() {
// URW Type 1 fonts (LaTeX default Times) abbreviate Medium as "Medi"
assert!(is_bold_font("NROFIU+NimbusRomNo9L-Medi"));
assert!(is_bold_font("NimbusRomNo9L-MediItal"));
assert!(!is_bold_font("DSSZWN+NimbusRomNo9L-Regu"));
assert!(!is_bold_font("NimbusRomNo9L-ReguItal"));
// Medium-Italic exclusion still holds
assert!(!is_bold_font("Foo-MediumItalic"));
}
#[test]
fn strip_soft_hyphen() {
assert_eq!(expand_ligatures("con\u{00AD}tent"), "content");
@@ -883,6 +974,8 @@ mod tests {
page: 1,
is_bold: false,
is_italic: false,
is_underline: false,
is_strikeout: false,
item_type: ItemType::Text,
mcid: None,
}
@@ -1002,6 +1095,8 @@ mod tests {
page: 1,
is_bold: false,
is_italic: false,
is_underline: false,
is_strikeout: false,
item_type: ItemType::Text,
mcid: None,
});
@@ -1078,6 +1173,8 @@ mod tests {
page: 1,
is_bold: false,
is_italic: false,
is_underline: false,
is_strikeout: false,
item_type: ItemType::Text,
mcid: None,
}
+596 -33
View File
@@ -4,11 +4,17 @@
use log::{debug, warn};
use lopdf::{Document, Object, ObjectId};
use std::borrow::Cow;
use std::collections::{HashMap, HashSet};
#[cfg(not(target_arch = "wasm32"))]
use std::path::{Path, PathBuf};
use crate::glyph_names::glyph_to_char;
#[cfg(target_arch = "wasm32")]
static BUILTIN_CMAPS: include_dir::Dir<'_> =
include_dir::include_dir!("$CARGO_MANIFEST_DIR/external/bcmaps");
/// A parsed ToUnicode CMap mapping CIDs to Unicode strings
#[derive(Debug, Default, Clone)]
pub struct ToUnicodeCMap {
@@ -329,7 +335,7 @@ impl ToUnicodeCMap {
if let (Some(start), Some(end), Some(base)) = (
parse_hex_u16(&start_hex),
parse_hex_u16(&end_hex),
parse_hex_u32(&base_hex),
hex_to_unicode_scalar(&base_hex),
) {
self.ranges.push((start, end, base));
}
@@ -520,6 +526,18 @@ impl ToUnicodeCMap {
}
}
/// Get the maximum source CID across all mappings (char_map + ranges).
fn max_source_cid(&self) -> Option<u16> {
let char_max = self.char_map.keys().copied().max();
let range_max = self.ranges.iter().map(|&(_, end, _)| end).max();
match (char_max, range_max) {
(Some(a), Some(b)) => Some(a.max(b)),
(a @ Some(_), None) => a,
(None, b @ Some(_)) => b,
(None, None) => None,
}
}
/// Remap a CMap that references pre-subsetting GIDs to sequential post-subsetting GIDs.
/// Collects all source CIDs, sorts them, and reassigns to 1, 2, 3, ...
pub fn remap_to_sequential(&self) -> ToUnicodeCMap {
@@ -563,32 +581,86 @@ fn parse_hex_u16(hex: &str) -> Option<u16> {
u16::from_str_radix(hex.trim(), 16).ok()
}
/// Parse a hex string to u32
fn parse_hex_u32(hex: &str) -> Option<u32> {
u32::from_str_radix(hex.trim(), 16).ok()
}
/// Convert a hex string to a Unicode string
/// Handles both 2-byte (BMP) and 4-byte (supplementary) codepoints
/// Convert a ToUnicode destination hex string to Unicode.
///
/// PDF ToUnicode destinations are UTF-16BE strings. Supplementary-plane
/// characters are encoded as surrogate pairs, so treating each 4-hex chunk as
/// a scalar drops emoji like D83CDF1F.
fn hex_to_unicode_string(hex: &str) -> Option<String> {
let hex = hex.trim();
let mut result = String::new();
// Process 4 hex digits at a time
let mut i = 0;
while i + 4 <= hex.len() {
if let Ok(cp) = u32::from_str_radix(&hex[i..i + 4], 16) {
if let Some(c) = char::from_u32(cp) {
result.push(c);
}
}
i += 4;
let hex: String = hex.chars().filter(|ch| !ch.is_ascii_whitespace()).collect();
if hex.is_empty() || !hex.len().is_multiple_of(2) {
return None;
}
if result.is_empty() {
None
let bytes: Option<Vec<u8>> = (0..hex.len())
.step_by(2)
.map(|i| u8::from_str_radix(&hex[i..i + 2], 16).ok())
.collect();
let bytes = bytes?;
if bytes.len().is_multiple_of(2) {
let units: Vec<u16> = bytes
.chunks_exact(2)
.map(|chunk| u16::from_be_bytes([chunk[0], chunk[1]]))
.collect();
if let Ok(result) = String::from_utf16(&units) {
if !result.is_empty() {
return Some(normalize_tounicode_destination(result));
}
}
}
// Be permissive for non-standard one-byte destinations.
if bytes.len() == 1 {
let ch = bytes[0] as char;
if !ch.is_control() || ch == '\t' || ch == '\n' {
return Some(ch.to_string());
}
}
None
}
fn normalize_tounicode_destination(text: String) -> String {
let is_multi_char = text.chars().nth(1).is_some();
// Some malformed producer CMaps put a list of alternative whitespace or
// hyphen codepoints into one destination. Keep ordinary multi-character
// mappings intact unless that malformed signature is present.
if is_multi_char
&& text.chars().all(char::is_whitespace)
&& text.chars().any(|ch| matches!(ch, '\t' | '\n' | '\r'))
{
return if text.contains('\t') {
"\t".to_string()
} else {
" ".to_string()
};
}
if is_multi_char
&& text.contains('\u{00ad}')
&& text.chars().all(|ch| {
matches!(
ch,
'-' | '\u{00ad}' | '\u{2010}' | '\u{2011}' | '\u{2012}' | '\u{2013}' | '\u{2212}'
)
})
{
return "-".to_string();
}
text
}
fn hex_to_unicode_scalar(hex: &str) -> Option<u32> {
let text = hex_to_unicode_string(hex)?;
let mut chars = text.chars();
let ch = chars.next()?;
if chars.next().is_none() {
Some(ch as u32)
} else {
Some(result)
None
}
}
@@ -657,6 +729,81 @@ fn get_w_array_start_cid(cid_font_dict: &lopdf::Dictionary, doc: &Document) -> O
}
}
/// Return true if the CIDFont's W (widths) array explicitly covers the given CID.
///
/// The W array uses two formats (PDF 32000-1:2008, §9.7.4.3):
/// 1. `c [w1 w2 ... wn]` — widths for CIDs c, c+1, ..., c+n-1
/// 2. `c_first c_last w` — CIDs c_first..c_last all have width w
fn w_array_covers_cid(cid_font_dict: &lopdf::Dictionary, doc: &Document, target: u16) -> bool {
let Ok(w_obj) = cid_font_dict.get(b"W") else {
return false;
};
let arr = match w_obj {
Object::Array(arr) => arr,
Object::Reference(r) => match doc.get_object(*r) {
Ok(Object::Array(arr)) => arr,
_ => return false,
},
_ => return false,
};
let resolve_int = |o: &Object| -> Option<i64> {
match o {
Object::Integer(n) => Some(*n),
Object::Reference(r) => match doc.get_object(*r) {
Ok(Object::Integer(n)) => Some(*n),
_ => None,
},
_ => None,
}
};
let resolve_arr = |o: &Object| -> Option<Vec<Object>> {
match o {
Object::Array(a) => Some(a.clone()),
Object::Reference(r) => match doc.get_object(*r) {
Ok(Object::Array(a)) => Some(a.clone()),
_ => None,
},
_ => None,
}
};
let target = target as i64;
let mut i = 0usize;
while i < arr.len() {
let Some(first) = resolve_int(&arr[i]) else {
break;
};
i += 1;
if i >= arr.len() {
break;
}
// Peek at arr[i] to decide format.
if let Some(widths) = resolve_arr(&arr[i]) {
// Format 1: c [w1 ... wn]
let last = first + widths.len() as i64 - 1;
if target >= first && target <= last {
return true;
}
i += 1;
} else if let Some(last) = resolve_int(&arr[i]) {
// Format 2: c_first c_last w
i += 1;
if i < arr.len() {
i += 1; // skip the width value
}
if target >= first && target <= last {
return true;
}
} else {
// Unknown token — abort parsing safely
break;
}
}
false
}
/// Extract CIDToGIDMap as a vector of GIDs (u16) indexed by CID.
fn get_cid_to_gid_map(cid_font_dict: &lopdf::Dictionary, doc: &Document) -> Option<Vec<u16>> {
let obj = cid_font_dict.get(b"CIDToGIDMap").ok()?;
@@ -733,6 +880,25 @@ fn try_remap_subset_cmap(
None => return (cmap, None),
};
// Both repair paths below assume CIDs are glyph indices that a subsetter can
// renumber, which is only true for CIDFontType2 (TrueType). For CIDFontType0
// (CFF), CIDs are resolved through the CFF charset, so a valid CMap stays valid
// after subsetting and renumbering it corrupts otherwise-correct text.
// CIDToGIDMap is likewise CIDFontType2-only (PDF 32000-1:2008, 9.7.4.2), so this
// also ignores a CIDToGIDMap that a malformed producer attached to a CFF font.
// /Subtype may be an indirect reference, so resolve it through the document.
// Only bail out when the descendant is *explicitly* something other than
// CIDFontType2: a missing or unresolvable /Subtype keeps the previous
// behaviour rather than silently disabling the repair.
let subtype = cid_font_dict.get(b"Subtype").ok().and_then(|o| match o {
Object::Reference(r) => doc.get_object(*r).ok().and_then(|o| o.as_name().ok()),
other => other.as_name().ok(),
});
if subtype.is_some_and(|name| name != b"CIDFontType2") {
debug!("Subset remap skipped for obj={obj_num}: descendant is not CIDFontType2");
return (cmap, None);
}
// If there's an explicit CIDToGIDMap, build a repaired CMap using it.
if let Some(cid_to_gid) = get_cid_to_gid_map(cid_font_dict, doc) {
if let Some(repaired) = build_cmap_with_cid_to_gid_map(&cmap, &cid_to_gid) {
@@ -752,6 +918,20 @@ fn try_remap_subset_cmap(
_ => return (cmap, None),
};
// If the W array actually covers the CMap's max source CID, the CMap is
// aligned with the font — no sequential renumbering happened. A sparse W
// array starting at CID 0 (for .notdef) with additional high-CID entries
// matching the CMap is the normal subset layout, not a mismatch.
if let Some(max_cid) = cmap.max_source_cid() {
if w_array_covers_cid(cid_font_dict, doc, max_cid) {
debug!(
"Subset remap skipped for obj={}: W array covers CMap max CID {}",
obj_num, max_cid
);
return (cmap, None);
}
}
debug!(
"Subset GID mismatch detected for obj={}: W starts at CID {}, CMap min CID {}. Remapping to sequential.",
obj_num, w_start, min_cid
@@ -994,9 +1174,7 @@ fn build_gid_to_unicode(face: &ttf_parser::Face<'_>) -> Option<HashMap<u16, char
/// Build a ToUnicodeCMap from pdf.js built-in binary CMaps (bcmaps).
fn build_cmap_from_builtin_cmap(ordering: &str) -> Option<ToUnicodeCMap> {
let name = format!("Adobe-{}-UCS2.bcmap", ordering);
let dir = find_bcmaps_dir()?;
let path = dir.join(name);
let data = std::fs::read(&path).ok()?;
let data = read_builtin_cmap_file(&name)?;
let mut cmap = parse_binary_cmap(&data).ok()?;
if cmap.char_map.is_empty() && cmap.ranges.is_empty() {
return None;
@@ -1004,13 +1182,14 @@ fn build_cmap_from_builtin_cmap(ordering: &str) -> Option<ToUnicodeCMap> {
cmap.code_byte_length = 2;
debug!(
"Built-in CMap {}: char_map={} ranges={}",
path.display(),
name,
cmap.char_map.len(),
cmap.ranges.len()
);
Some(cmap)
}
#[cfg(not(target_arch = "wasm32"))]
fn find_bcmaps_dir() -> Option<PathBuf> {
if let Ok(dir) = std::env::var("PDF_INSPECTOR_BCMAPS_DIR") {
let p = PathBuf::from(dir);
@@ -1027,6 +1206,18 @@ fn find_bcmaps_dir() -> Option<PathBuf> {
None
}
#[cfg(not(target_arch = "wasm32"))]
fn read_builtin_cmap_file(name: &str) -> Option<Cow<'static, [u8]>> {
let path = find_bcmaps_dir()?.join(name);
std::fs::read(path).ok().map(Cow::Owned)
}
#[cfg(target_arch = "wasm32")]
fn read_builtin_cmap_file(name: &str) -> Option<Cow<'static, [u8]>> {
let file = BUILTIN_CMAPS.get_file(name)?;
Some(Cow::Borrowed(file.contents()))
}
fn parse_binary_cmap(data: &[u8]) -> Result<ToUnicodeCMap, String> {
let mut stream = BinaryCMapStream::new(data);
let _header = stream.read_byte().ok_or("unexpected EOF in bcmap header")?;
@@ -1337,9 +1528,7 @@ fn parse_encoding_cmap_object(obj: &Object, doc: &Document) -> Option<EncodingCM
}
fn load_builtin_encoding_cmap(name: &str) -> Option<EncodingCMap> {
let dir = find_bcmaps_dir()?;
let path = dir.join(format!("{}.bcmap", name));
let data = std::fs::read(&path).ok()?;
let data = read_builtin_cmap_file(&format!("{}.bcmap", name))?;
parse_binary_cmap_encoding(&data).ok()
}
@@ -1624,9 +1813,7 @@ fn load_builtin_cmap_by_name(name: &str) -> Option<ToUnicodeCMap> {
if !name.ends_with("UCS2") {
return None;
}
let dir = find_bcmaps_dir()?;
let path = dir.join(format!("{}.bcmap", name));
let data = std::fs::read(&path).ok()?;
let data = read_builtin_cmap_file(&format!("{}.bcmap", name))?;
let mut cmap = parse_binary_cmap(&data).ok()?;
if cmap.char_map.is_empty() && cmap.ranges.is_empty() {
return None;
@@ -2506,6 +2693,97 @@ endbfrange
assert_eq!(cmap.lookup(0x0005), Some("C".to_string()));
}
#[test]
fn test_parse_bfchar_surrogate_pair_emoji() {
let cmap_content = r#"
1 begincodespacerange
<00> <FF>
endcodespacerange
2 beginbfchar
<16> <D83CDF1F>
<9D> <D83CDFAD>
endbfchar
"#;
let cmap = ToUnicodeCMap::parse(cmap_content.as_bytes()).unwrap();
assert_eq!(cmap.code_byte_length, 1);
assert_eq!(cmap.lookup(0x16), Some("🌟".to_string()));
assert_eq!(cmap.lookup(0x9D), Some("🎭".to_string()));
}
#[test]
fn test_parse_bfrange_surrogate_pair_base() {
let cmap_content = r#"
1 begincodespacerange
<00> <FF>
endcodespacerange
1 beginbfrange
<C8> <C9> <D83CDFD8>
endbfrange
"#;
let cmap = ToUnicodeCMap::parse(cmap_content.as_bytes()).unwrap();
assert_eq!(cmap.code_byte_length, 1);
assert_eq!(cmap.lookup(0xC8), Some("🏘".to_string()));
assert_eq!(cmap.lookup(0xC9), Some("🏙".to_string()));
}
#[test]
fn test_parse_bfrange_preserves_single_hyphen_like_base() {
let cmap_content = r#"
1 begincodespacerange
<00> <FF>
endcodespacerange
1 beginbfrange
<21> <22> <2013>
endbfrange
"#;
let cmap = ToUnicodeCMap::parse(cmap_content.as_bytes()).unwrap();
assert_eq!(cmap.lookup(0x21), Some("".to_string()));
assert_eq!(cmap.lookup(0x22), Some("".to_string()));
}
#[test]
fn test_parse_spaced_destination_hex_without_control_noise() {
let cmap_content = r#"
1 begincodespacerange
<00> <FF>
endcodespacerange
3 beginbfchar
<21> < 0009 000d 0020 00a0 >
<22> < 002d 00ad 2010 >
<23> <00a0>
endbfchar
"#;
let cmap = ToUnicodeCMap::parse(cmap_content.as_bytes()).unwrap();
assert_eq!(cmap.lookup(0x21), Some("\t".to_string()));
assert_eq!(cmap.lookup(0x22), Some("-".to_string()));
assert_eq!(cmap.lookup(0x23), Some("\u{00a0}".to_string()));
}
#[test]
fn test_parse_preserves_valid_multi_character_destinations() {
let cmap_content = r#"
1 begincodespacerange
<00> <FF>
endcodespacerange
4 beginbfchar
<21> <002d002d>
<22> <20132013>
<23> <002000a0>
<24> <00660069>
endbfchar
"#;
let cmap = ToUnicodeCMap::parse(cmap_content.as_bytes()).unwrap();
assert_eq!(cmap.lookup(0x21), Some("--".to_string()));
assert_eq!(cmap.lookup(0x22), Some("––".to_string()));
assert_eq!(cmap.lookup(0x23), Some(" \u{00a0}".to_string()));
assert_eq!(cmap.lookup(0x24), Some("fi".to_string()));
}
#[test]
fn test_remap_to_sequential() {
// Simulate a broken CMap where GIDs are from pre-subsetting:
@@ -2717,4 +2995,289 @@ endbfchar
assert_eq!(remapped.unwrap().char_map.len(), 50);
assert_eq!(fallback.unwrap().char_map.len(), 10);
}
#[test]
fn test_max_source_cid() {
let cmap_content = r#"
1 begincodespacerange
<0000><FFFF>
endcodespacerange
2 beginbfchar
<0003> <0020>
<0031> <004E>
endbfchar
1 beginbfrange
<0208> <0227> <0430>
endbfrange
"#;
let cmap = ToUnicodeCMap::parse(cmap_content.as_bytes()).unwrap();
assert_eq!(cmap.min_source_cid(), Some(0x0003));
assert_eq!(cmap.max_source_cid(), Some(0x0227));
}
/// Helper: build a minimal CIDFont dict with a W array and check coverage.
fn cid_font_dict_with_w(w_items: Vec<lopdf::Object>) -> lopdf::Dictionary {
let mut d = lopdf::Dictionary::new();
d.set("W", lopdf::Object::Array(w_items));
d
}
#[test]
fn test_w_array_covers_cid_format1() {
// Format 1: `c [w1 w2 ... wn]` — widths for CIDs c..c+n-1.
// Mimics the 16.pdf Tahoma W array: 0[1000] 3[313] 5[401] 11[383 383] 16[363 303 382]
let doc = Document::new();
let d = cid_font_dict_with_w(vec![
lopdf::Object::Integer(0),
lopdf::Object::Array(vec![lopdf::Object::Integer(1000)]),
lopdf::Object::Integer(3),
lopdf::Object::Array(vec![lopdf::Object::Integer(313)]),
lopdf::Object::Integer(5),
lopdf::Object::Array(vec![lopdf::Object::Integer(401)]),
lopdf::Object::Integer(11),
lopdf::Object::Array(vec![
lopdf::Object::Integer(383),
lopdf::Object::Integer(383),
]),
lopdf::Object::Integer(16),
lopdf::Object::Array(vec![
lopdf::Object::Integer(363),
lopdf::Object::Integer(303),
lopdf::Object::Integer(382),
]),
lopdf::Object::Integer(570),
lopdf::Object::Array(vec![lopdf::Object::Integer(667); 26]),
]);
assert!(w_array_covers_cid(&d, &doc, 0));
assert!(w_array_covers_cid(&d, &doc, 3));
assert!(w_array_covers_cid(&d, &doc, 5));
assert!(w_array_covers_cid(&d, &doc, 11));
assert!(w_array_covers_cid(&d, &doc, 12));
assert!(w_array_covers_cid(&d, &doc, 16));
assert!(w_array_covers_cid(&d, &doc, 18));
assert!(w_array_covers_cid(&d, &doc, 570));
assert!(w_array_covers_cid(&d, &doc, 595));
// Gaps are NOT covered
assert!(!w_array_covers_cid(&d, &doc, 1));
assert!(!w_array_covers_cid(&d, &doc, 4));
assert!(!w_array_covers_cid(&d, &doc, 19));
assert!(!w_array_covers_cid(&d, &doc, 596));
}
#[test]
fn test_w_array_covers_cid_format2() {
// Format 2: `c_first c_last w` — CIDs c_first..c_last all have width w.
let doc = Document::new();
let d = cid_font_dict_with_w(vec![
lopdf::Object::Integer(100),
lopdf::Object::Integer(120),
lopdf::Object::Integer(500),
]);
assert!(w_array_covers_cid(&d, &doc, 100));
assert!(w_array_covers_cid(&d, &doc, 110));
assert!(w_array_covers_cid(&d, &doc, 120));
assert!(!w_array_covers_cid(&d, &doc, 99));
assert!(!w_array_covers_cid(&d, &doc, 121));
}
#[test]
fn test_w_array_covers_cid_missing_w() {
let doc = Document::new();
let d = lopdf::Dictionary::new();
assert!(!w_array_covers_cid(&d, &doc, 3));
}
#[test]
fn test_try_remap_skipped_when_w_covers_cmap() {
// Simulates 16.pdf: CMap's max source CID (0x0279 = 633) is explicitly
// in the W array, so no subset-renumbering happened — remap must NOT fire.
let cmap_content = r#"
1 begincodespacerange
<0000><FFFF>
endcodespacerange
2 beginbfchar
<0003> <0020>
<0031> <004E>
endbfchar
2 beginbfrange
<023A> <0253> <0410>
<0255> <0279> <042B>
endbfrange
"#;
let cmap = ToUnicodeCMap::parse(cmap_content.as_bytes()).unwrap();
let mut doc = Document::new();
// Build a CIDFont dict with Identity CIDToGIDMap and a W array that
// covers CID 633 via `597 [widths...]`.
let mut cid_font = lopdf::Dictionary::new();
cid_font.set("CIDToGIDMap", lopdf::Object::Name(b"Identity".to_vec()));
cid_font.set(
"W",
lopdf::Object::Array(vec![
lopdf::Object::Integer(0),
lopdf::Object::Array(vec![lopdf::Object::Integer(750)]),
lopdf::Object::Integer(597),
lopdf::Object::Array(vec![lopdf::Object::Integer(500); 37]), // 597..633
]),
);
let cid_font_id = doc.add_object(cid_font);
// Build the Type0 font dict with Identity-H + DescendantFonts ref.
let mut font_dict = lopdf::Dictionary::new();
font_dict.set("Encoding", lopdf::Object::Name(b"Identity-H".to_vec()));
font_dict.set(
"DescendantFonts",
lopdf::Object::Array(vec![lopdf::Object::Reference(cid_font_id)]),
);
let (primary, remapped) = try_remap_subset_cmap(cmap, &font_dict, &doc, 123);
assert!(
remapped.is_none(),
"Remap must be skipped when W covers CMap max CID (this is 16.pdf)"
);
assert_eq!(primary.lookup(0x0003), Some(" ".to_string()));
}
#[test]
fn test_try_remap_fires_for_true_subset_mismatch() {
// True mismatch: CMap has high CIDs (512-544) but W only lists low sequential CIDs.
let cmap_content = r#"
1 begincodespacerange
<0000><FFFF>
endcodespacerange
1 beginbfrange
<0200> <0220> <0410>
endbfrange
"#;
let cmap = ToUnicodeCMap::parse(cmap_content.as_bytes()).unwrap();
let mut doc = Document::new();
let mut cid_font = lopdf::Dictionary::new();
cid_font.set("CIDToGIDMap", lopdf::Object::Name(b"Identity".to_vec()));
cid_font.set(
"W",
lopdf::Object::Array(vec![
lopdf::Object::Integer(0),
lopdf::Object::Array(vec![lopdf::Object::Integer(500); 34]), // 0..33
]),
);
let cid_font_id = doc.add_object(cid_font);
let mut font_dict = lopdf::Dictionary::new();
font_dict.set("Encoding", lopdf::Object::Name(b"Identity-H".to_vec()));
font_dict.set(
"DescendantFonts",
lopdf::Object::Array(vec![lopdf::Object::Reference(cid_font_id)]),
);
let (_primary, remapped) = try_remap_subset_cmap(cmap, &font_dict, &doc, 456);
assert!(
remapped.is_some(),
"Remap must fire when CMap's CIDs are outside W array coverage"
);
}
#[test]
fn test_try_remap_skipped_for_cid_font_type0() {
// Same W/CMap mismatch as the CIDFontType2 case above, but the descendant is
// CIDFontType0 (CFF). There CIDs are resolved through the CFF charset, so the
// ToUnicode CIDs stay valid after subsetting and must not be renumbered.
// Real-world case: Japanese Adobe-Japan1 PDFs (e.g. National Diet Library
// minutes) where remapping turned correct text into unrelated glyphs.
let cmap_content = r#"
1 begincodespacerange
<0000><FFFF>
endcodespacerange
1 beginbfrange
<0200> <0220> <0410>
endbfrange
"#;
let cmap = ToUnicodeCMap::parse(cmap_content.as_bytes()).unwrap();
let mut doc = Document::new();
// CIDToGIDMap is CIDFontType2-only, but a malformed producer can still emit
// one on a CFF font. Use a real stream (not /Identity, which is treated as
// "no map") so this also fails if the guard is moved back below the
// CIDToGIDMap branch: cid 1 -> gid 0x0200, which the CMap resolves.
let mut cid_to_gid = vec![0u8; 68];
cid_to_gid[2] = 0x02;
cid_to_gid[3] = 0x00;
let cid_to_gid_id =
doc.add_object(lopdf::Stream::new(lopdf::Dictionary::new(), cid_to_gid));
let mut cid_font = lopdf::Dictionary::new();
cid_font.set("Subtype", lopdf::Object::Name(b"CIDFontType0".to_vec()));
cid_font.set("CIDToGIDMap", lopdf::Object::Reference(cid_to_gid_id));
cid_font.set(
"W",
lopdf::Object::Array(vec![
lopdf::Object::Integer(1),
lopdf::Object::Array(vec![lopdf::Object::Integer(500); 34]),
]),
);
let cid_font_id = doc.add_object(cid_font);
let mut font_dict = lopdf::Dictionary::new();
font_dict.set("Encoding", lopdf::Object::Name(b"Identity-H".to_vec()));
font_dict.set(
"DescendantFonts",
lopdf::Object::Array(vec![lopdf::Object::Reference(cid_font_id)]),
);
let (primary, remapped) = try_remap_subset_cmap(cmap, &font_dict, &doc, 789);
assert!(
remapped.is_none(),
"Remap must be skipped for CIDFontType0 (CFF) descendants, including a \
CIDToGIDMap a malformed producer attached to one"
);
// The original CMap must still resolve its own CIDs.
assert_eq!(primary.lookup(0x0200), Some("\u{0410}".to_string()));
}
#[test]
fn test_try_remap_resolves_indirect_subtype() {
// /Subtype may be stored as an indirect reference. A genuine CIDFontType2
// font must still get the repair, so the guard has to dereference it rather
// than treat the unresolved value as "not CIDFontType2".
let cmap_content = r#"
1 begincodespacerange
<0000><FFFF>
endcodespacerange
1 beginbfrange
<0200> <0220> <0410>
endbfrange
"#;
let cmap = ToUnicodeCMap::parse(cmap_content.as_bytes()).unwrap();
let mut doc = Document::new();
let subtype_id = doc.add_object(lopdf::Object::Name(b"CIDFontType2".to_vec()));
let mut cid_font = lopdf::Dictionary::new();
cid_font.set("Subtype", lopdf::Object::Reference(subtype_id));
cid_font.set("CIDToGIDMap", lopdf::Object::Name(b"Identity".to_vec()));
cid_font.set(
"W",
lopdf::Object::Array(vec![
lopdf::Object::Integer(0),
lopdf::Object::Array(vec![lopdf::Object::Integer(500); 34]),
]),
);
let cid_font_id = doc.add_object(cid_font);
let mut font_dict = lopdf::Dictionary::new();
font_dict.set("Encoding", lopdf::Object::Name(b"Identity-H".to_vec()));
font_dict.set(
"DescendantFonts",
lopdf::Object::Array(vec![lopdf::Object::Reference(cid_font_id)]),
);
let (_primary, remapped) = try_remap_subset_cmap(cmap, &font_dict, &doc, 790);
assert!(
remapped.is_some(),
"An indirect /Subtype naming CIDFontType2 must still reach the remap"
);
}
}
+139 -7
View File
@@ -116,6 +116,14 @@ pub struct TextItem {
pub is_bold: bool,
/// Whether the font is italic
pub is_italic: bool,
/// Whether the text is underlined (drawn rule/thin rect under the
/// baseline — PDFs have no underline font flag, so this is detected
/// geometrically after extraction; see `extractor::underline`).
pub is_underline: bool,
/// Whether the text is struck out (drawn rule/thin rect crossing the
/// glyphs at mid x-height). Same geometric detection as underline,
/// different vertical window; see `extractor::underline`.
pub is_strikeout: bool,
/// Type of item (text, image, link)
pub item_type: ItemType,
/// Marked Content ID from the content stream's BDC/BMC operator.
@@ -137,12 +145,20 @@ pub struct TextLine {
impl TextLine {
pub fn text(&self) -> String {
self.text_with_formatting(false, false)
self.text_with_formatting(false, false, false)
}
/// Get text with optional bold/italic markdown formatting
pub fn text_with_formatting(&self, format_bold: bool, format_italic: bool) -> String {
if !format_bold && !format_italic {
/// Get text with optional bold/italic/decorative markdown formatting.
///
/// `format_decorations` enables both geometrically detected source
/// decorations: underline (`<u>`) and strikeout (`<s>`).
pub fn text_with_formatting(
&self,
format_bold: bool,
format_italic: bool,
format_decorations: bool,
) -> String {
if !format_bold && !format_italic && !format_decorations {
return self.text_plain();
}
@@ -151,6 +167,8 @@ impl TextLine {
let mut result = String::new();
let mut current_bold = false;
let mut current_italic = false;
let mut current_underline = false;
let mut current_strikeout = false;
for (i, item) in self.items.iter().enumerate() {
let text = item.text.as_str();
@@ -176,9 +194,16 @@ impl TextLine {
// we push text_trimmed below (which strips it).
let has_leading_space = text.starts_with(' ');
// Check for style changes
let item_bold = format_bold && item.is_bold;
let item_italic = format_italic && item.is_italic;
// Check for style changes. Source decorations are exclusive:
// `<u>`/`<s>` content stays free of `**`/`*` markers — consumers
// (and the eval harnesses this feeds) match tag content literally,
// and mixed nesting breaks that. A struck-and-underlined item is
// emitted as struck text because deletion is the stronger semantic
// distinction in redline documents.
let item_strikeout = format_decorations && item.is_strikeout;
let item_underline = format_decorations && item.is_underline && !item_strikeout;
let item_bold = format_bold && item.is_bold && !item_underline && !item_strikeout;
let item_italic = format_italic && item.is_italic && !item_underline && !item_strikeout;
// Close previous styles if they change
if current_italic && !item_italic {
@@ -189,6 +214,14 @@ impl TextLine {
result.push_str("**");
current_bold = false;
}
if current_underline && !item_underline {
result.push_str("</u>");
current_underline = false;
}
if current_strikeout && !item_strikeout {
result.push_str("</s>");
current_strikeout = false;
}
// Add space: either from spacing logic or preserved from item text
if needs_space || (has_leading_space && !result.is_empty() && !result.ends_with(' ')) {
@@ -196,6 +229,14 @@ impl TextLine {
}
// Open new styles
if item_underline && !current_underline {
result.push_str("<u>");
current_underline = true;
}
if item_strikeout && !current_strikeout {
result.push_str("<s>");
current_strikeout = true;
}
if item_bold && !current_bold {
result.push_str("**");
current_bold = true;
@@ -215,6 +256,12 @@ impl TextLine {
if current_bold {
result.push_str("**");
}
if current_underline {
result.push_str("</u>");
}
if current_strikeout {
result.push_str("</s>");
}
result
}
@@ -280,3 +327,88 @@ impl TextLine {
|| space_already_exists)
}
}
#[cfg(test)]
mod formatting_tests {
use super::{ItemType, TextItem, TextLine};
fn item(text: &str, x: f32, width: f32, strikeout: bool) -> TextItem {
TextItem {
text: text.to_string(),
x,
y: 100.0,
width,
height: 12.0,
font: "F1".to_string(),
font_size: 12.0,
page: 1,
is_bold: false,
is_italic: false,
is_underline: false,
is_strikeout: strikeout,
item_type: ItemType::Text,
mcid: None,
}
}
fn line(items: Vec<TextItem>) -> TextLine {
TextLine {
items,
y: 100.0,
page: 1,
adaptive_threshold: 0.1,
}
}
#[test]
fn formatting_emits_semantic_strikeout() {
let line = line(vec![item("deleted", 10.0, 42.0, true)]);
assert_eq!(
line.text_with_formatting(true, true, true),
"<s>deleted</s>"
);
}
#[test]
fn formatting_closes_strikeout_before_live_text() {
let line = line(vec![
item("keep", 10.0, 24.0, false),
item("remove", 40.0, 42.0, true),
item("keep", 88.0, 24.0, false),
]);
assert_eq!(
line.text_with_formatting(true, true, true),
"keep <s>remove</s> keep"
);
}
#[test]
fn formatting_coalesces_adjacent_struck_items() {
let line = line(vec![
item("deleted", 10.0, 42.0, true),
item("words", 58.0, 30.0, true),
]);
assert_eq!(
line.text_with_formatting(true, true, true),
"<s>deleted words</s>"
);
}
#[test]
fn strikeout_takes_precedence_over_other_styles() {
let mut decorated = item("deleted", 10.0, 42.0, true);
decorated.is_bold = true;
decorated.is_italic = true;
decorated.is_underline = true;
let line = line(vec![decorated]);
assert_eq!(
line.text_with_formatting(true, true, true),
"<s>deleted</s>"
);
assert_eq!(line.text(), "deleted");
}
}
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+2 -2
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@@ -188,7 +188,7 @@
|156|23/7|General renovation works to Block B at Belonie Secondary School|MOE|Belvedere Builders|SR869,505.75|
|157|30/7|Procurement of Engine Block and Crankshaft for Engine A11|PUC|Ras Tek Pvt Ltd|Euro798,650.00|
|158|30/7|procurement of Wartsila Engine spares|PUC|Wartsila Eastern Africa ltd|Euro158,424.00|
|159|30/7|Proposed walkway, Drain, rock armoring , road and Bridge widening at Anse Talbot( Ex-Golden Egg)|SLTA|G&S Enterpise|SR1,113,010.00|
|159|30/7|Proposed walkway, Drain, rock armoring, road and Bridge widening at Anse Talbot( Ex-Golden Egg)|SLTA|G&S Enterpise|SR1,113,010.00|
|160|30/7|Procurement of transfer pump control panel|PUC|CA Engineering Consultancy Pte Ltd|SGD14,600.00|
|161|30/7|Consultancy service for North to South Victoria Bye- Pass road and utilities organisation|MLUH|Sonnel Seychelles LTD|SR1,332,000.00|
|162 AUG|30/7|Procurement of the supply of sodium cardonate|PUC|HPL Chemical LTD|USD42,600.00|
@@ -237,7 +237,7 @@
|201|24/9|Procurement of vehicle x 2|SLTA|Abhaye Valabhji Pty Ltd|SR1000.000.00|
||OCT|||||
|202|1/10|Proposed new traffic lane to 5th June Avenue|SLTA|Divy Constrution|SR2,864,589.00|
|203|1/10||Proposed Walkway, Drain, rock armoring , road and Bridge widening at Anse Talbot( Ex-Golden Egg) - Variations SLTA|G & S Enterprise|SR200,448.00|
|203|1/10||Proposed Walkway, Drain, rock armoring, road and Bridge widening at Anse Talbot(Ex-Golden Egg) - Variations SLTA|G & S Enterprise|SR200,448.00|
|204|1/10|Proposed Reconstrcution of Burnt House-Au Cap|MLUH|Furui Construction|SR946,130.00|
|205|1/10|Variation on the project associated with the procurement of seven 100m3/day containerised plant|PUC|Tornado Group (UAE)|USD172,500.00|
|206|1/10|Works on the breaker system at Bel Omber desalination plant|PUC|United Concrete Products (Sey)Ltd|SR1,998,993.11|
+4 -4
View File
@@ -1,9 +1,9 @@
본 가격표는 국내 거주 중인 외국인을 위한 한국어 가격표의 비공식 번역본입니다. ※ The post-tax benefit sales price is provided for your reference only, reflecting the current tax benefits and eco-friendly vehicle individual consumption tax reductions. 본 가격표와 한국어 가격표의 내용이 상이한 경우 한국어 가격표의 내용이 우선하므로, 반드시 한국어 가격표의 내용을 확인하십시오. The final sales price may vary depending on the addition of optional items and whether the eco-friendly vehicle criteria are met, so please be sure to check the quotation. This price list is an unofficial translation of the Korean price list for the convenience of foreign residents in South Korea. ※ Please check the Korean price list for information on colors, details, and fuel consumption for each model. If the price list differs from the Korean price list, please check the contents of the Korean price list first. ※ All optional item prices are listed based on pre-tax reduction amounts. The actual sales price, which reflects the total individual consumption tax reduction including optional items, may differ depending on applicable tax benefits. ※ The items (specifications, colors, etc.) and prices listed in this pricing table are subject to change without prior notice depending on the holding of new car launch events, improvements made in automobile performance, introduction of related laws and regulations, and changes in company circumstances. The all-new NEXO Release Date: June 10, 2025 / (Unit: KRW)
|Classification Exclusive Exclusive|Selling price before tax benefit Supply value(surtax) 80,509,000 73,190,000(7,319,000)|Selling price after tax benefit 76,435,000|Standard equipment • Powertrain/Performance: Fuel cell system(150kW drive motor, lithium-ion battery, and reducer), Regenerative braking system, Column-Type Shift By Wire(vibration warning), Drive mode select • Safety: 9 airbag system(1st-row advanced/center side airbags, 1st/2nd-row side airbags, and rollover-resistant curtain airbags), Multi-Collision Brake System, Active hood system(for pedestrian protection), Safety unlock function, Artificial engine sound(for pedestrian protection), Child seat fastening system (2 in 2nd-row), Fire extinguisher for vehicles, Pedal Misapplication Safety Assist • Smart Safety Technology: Forward Collision-avoidance Assist(vehicles/ pedestrians/two-wheeled vehicles/junction turning/front oncoming), Smart Cruise Control with Stop & Go, Lane Keeping Assist, Lane Following Assist 2, Blind-spot Collision Warning(driving), Blind-spot Collision-avoidance Assist(forward exit), Rear Cross-traffic Collision-avoidance Assist, Safety Exit Assist, Driver Attention Warning, High Beam Assist, Advanced Rear Occupant Alert, Intelligent Speed Limit Assist, Hands-On Detection, Highway Driving Assist, Navigation-based Smart Cruise Control(safety speed zone/curve control), Vibration warning steering wheel • Exterior: Full LED headlamps(projection type), LED turn signal lamps (front and rear), LED Daytime Running Lights, LED positioning lights, LED rear combination lamps, LED third brake lights, 18-inch alloy wheels & tires, Solar glass(windshield), Double-glazed soundproof glass(windshield, and 1st/ 2nd-row doors), Outside mirror(heating, power-folding, power adjustment,|Options (before tax benefit) ▶ Hi-pass(e hi-pass) [200,000]|
|Classification|Selling price before tax benefit Supply value(surtax)|Selling price after tax benefit|Standard equipment|Options (before tax benefit)|
|---|---|---|---|---|
|Special|with 3.5% individual consumption tax applied 79,287,000 83,500,000 75,909,091(7,590,909) with 3.5% individual consumption tax applied 82,232,000|with 3.5% individual consumption tax applied 76,435,000 79,275,000 with 3.5% individual consumption tax applied 79,275,000|and LED turn signal lamps), Auto flush door handles, Black door garnish • Interior: Panoramic curved display, 12.3-inch color LCD cluster, Leather- upholstered steering wheel(with heating, two-tone color, and Interactive Pixel Lights), LED interior lamp (map lamp, personal lamp, sun visor lamp, and luggage lamp), Metallic door scuff plate • Seat: Synthetic leather seats, 1st-row manual seats, Heated 1st-row seats, 2nd-row 60/40-split folding seats(reclining) • Convenience: Proximity key with push-button start, Smart key remote start, Electronic Parking Brake(with automatic vehicle hold), Paddle shift(regenerative control), Dual-zone full automatic air conditioning(with high-performance antibacterial combination filter, auto defog system, fine dust sensor, air cleaning mode, and after-blow function), 2nd-row seat air vent, Auto light control system, USB Type-C Ports(1×27W switchable charging/data port in 1st-row, and 2×100W charging ports in both 1st and 2nd-row), ECM room mirror(frameless), Rain sensor, Power windows with pinch protection(1st/2nd-row), Power outlet (1 in 1st-row), Parking Distance Warning-Forward/Reverse, Rear View Monitor, Wireless phone charger(single), Walk-away lock, Route planner, Hyundai AI Assistant • Infotainment: 12.3-inch navigation(Bluelink, phone projection, Bluetooth hands-free, and In-car Payment), Audio system(6 speakers), Over-The-Air navigation updates Standard equipment of Exclusive plus • Smart Safety Technology: Forward Collision-avoidance Assist(intersection crossing/changing lanes in oncoming traffic/approaching from either side/ evasive steering assist), Highway Driving Assist 2, Navigation-based Smart Cruise Control(access road) • Exterior: Roof rack • Interior: Metallic pedal, Driving mode-dependent ambient mood lighting(crash pad, 1st/2nd-row door trim) • Seat: Synthetic leather seats(patch applied), Power-adjustable driver's|▶ [600,000] Built-in Cam 2 Plus, Augmented reality navigation ▶ [850,000] Indoor/outdoor V2L ▶ [950,000] Parking Assist ▶ [1,150,000] Audio by BANG & OLUFSEN|
|Prestige|87,893,000 79,902,727(7,990,273) with 3.5% individual consumption tax applied 86,559,000|83,445,000 with 3.5% individual consumption tax applied 83,445,000|seat(8-way, lumbar support, and Integrated Memory System(driver's seat and outside mirror connected)), Power-adjustable front passengers seat(8-way), Ventilated 1st-row seats, Heated 2nd-row seats • Convenience: Hi-pass(e hi-pass), In-car fingerprint authentication system(personalization, startup, payment, and etc.), Smart power tailgate ▶ Standard equipment of Exclusive Special plus • Smart Safety Technology: Remote Smart Parking Assist 2, Parking Collison- avoidance Assist(front/side/rear) • Exterior: Intelligent Front-Lighting System(IFS), Dynamic welcome/escort lighting(1 type), Sequential turn signals(front and rear), Ambient lighting auto flush door handles, Two-tone door garnish, Glossy black rear diffuserInterior: Recycled PET suede interior materials(headlining/sunvisor), Fabric upholstered crash pad • Seat: BIO-processed natural leather seats(metal patch applied, embossed design punching), Passenger's seat walk-in device, 1st-row relaxation comfort seats(leg rest included), Ventilated 2nd-row seats • Convenience: Parking Distance Warning-Side, Head-Up Display, Digital key 2, Wireless phone charger(dual), Surround View Monitor, Blind-spot View Monitor, LED reverse light guide • Infotainment: Audio by BANG & OLUFSEN sound system(14 speakers, including external amp), Active road noise control, Active Sound Design|sound system ▶ [250,000] 19-inch alloy wheels & tires ▶ [600,000] Built-in Cam 2 Plus, Augmented reality navigation ▶ [850,000] Indoor/outdoor V2L ▶ [900,000] Vision roof ▶ [1,380,000] Digital side mirror ▶ [750,000] Camera package ▶ [250,000] 19-inch alloy wheels & tires|
|Exclusive|80,509,000 73,190,000(7,319,000) with 3.5% individual consumption tax applied 79,287,000|76,435,000 with 3.5% individual consumption tax applied 76,435,000|• Powertrain/Performance: Fuel cell system(150kW drive motor, lithium-ion battery, and reducer), Regenerative braking system, Column-Type Shift By Wire(vibration warning), Drive mode select • Safety: 9 airbag system(1st-row advanced/center side airbags, 1st/2nd-row side airbags, and rollover-resistant curtain airbags), Multi-Collision Brake System, Active hood system(for pedestrian protection), Safety unlock function, Artificial engine sound(for pedestrian protection), Child seat fastening system (2 in 2nd-row), Fire extinguisher for vehicles, Pedal Misapplication Safety Assist • Smart Safety Technology: Forward Collision-avoidance Assist(vehicles/ pedestrians/two-wheeled vehicles/junction turning/front oncoming), Smart Cruise Control with Stop & Go, Lane Keeping Assist, Lane Following Assist 2, Blind-spot Collision Warning(driving), Blind-spot Collision-avoidance Assist(forward exit), Rear Cross-traffic Collision-avoidance Assist, Safety Exit Assist, Driver Attention Warning, High Beam Assist, Advanced Rear Occupant Alert, Intelligent Speed Limit Assist, Hands-On Detection, Highway Driving Assist, Navigation-based Smart Cruise Control(safety speed zone/curve control), Vibration warning steering wheel • Exterior: Full LED headlamps(projection type), LED turn signal lamps (front and rear), LED Daytime Running Lights, LED positioning lights, LED rear combination lamps, LED third brake lights, 18-inch alloy wheels & tires, Solar glass(windshield), Double-glazed soundproof glass(windshield, and 1st/ 2nd-row doors), Outside mirror(heating, power-folding, power adjustment, and LED turn signal lamps), Auto flush door handles, Black door garnish • Interior: Panoramic curved display, 12.3-inch color LCD cluster, Leather- upholstered steering wheel(with heating, two-tone color, and Interactive Pixel Lights), LED interior lamp (map lamp, personal lamp, sun visor lamp, and luggage lamp), Metallic door scuff plate • Seat: Synthetic leather seats, 1st-row manual seats, Heated 1st-row seats, 2nd-row 60/40-split folding seats(reclining) • Convenience: Proximity key with push-button start, Smart key remote start, Electronic Parking Brake(with automatic vehicle hold), Paddle shift(regenerative control), Dual-zone full automatic air conditioning(with high-performance antibacterial combination filter, auto defog system, fine dust sensor, air cleaning mode, and after-blow function), 2nd-row seat air vent, Auto light control system, USB Type-C Ports(1×27W switchable charging/data port in 1st-row, and 2×100W charging ports in both 1st and 2nd-row), ECM room mirror(frameless), Rain sensor, Power windows with pinch protection(1st/2nd-row), Power outlet (1 in 1st-row), Parking Distance Warning-Forward/Reverse, Rear View Monitor, Wireless phone charger(single), Walk-away lock, Route planner, Hyundai AI Assistant • Infotainment: 12.3-inch navigation(Bluelink, phone projection, Bluetooth hands-free, and In-car Payment), Audio system(6 speakers), Over-The-Air navigation updates|Hi-pass(e hi-pass) [200,000]|
|Exclusive Special|83,500,000 75,909,091(7,590,909) with 3.5% individual consumption tax applied 82,232,000|79,275,000 with 3.5% individual consumption tax applied 79,275,000|▶ Standard equipment of Exclusive plus • Smart Safety Technology: Forward Collision-avoidance Assist(intersection crossing/changing lanes in oncoming traffic/approaching from either side/ evasive steering assist), Highway Driving Assist 2, Navigation-based Smart Cruise Control(access road)Exterior: Roof rack • Interior: Metallic pedal, Driving mode-dependent ambient mood lighting(crash pad, 1st/2nd-row door trim) • Seat: Synthetic leather seats(patch applied), Power-adjustable driver's seat(8-way, lumbar support, and Integrated Memory System(driver's seat and outside mirror connected)), Power-adjustable front passengers seat(8-way), Ventilated 1st-row seats, Heated 2nd-row seats • Convenience: Hi-pass(e hi-pass), In-car fingerprint authentication system(personalization, startup, payment, and etc.), Smart power tailgate|▶ [600,000] Built-in Cam 2 Plus, Augmented reality navigation ▶ [850,000] Indoor/outdoor V2L ▶ [950,000] Parking Assist ▶ [1,150,000] Audio by BANG & OLUFSEN sound system ▶ [250,000] 19-inch alloy wheels & tires|
|Prestige|87,893,000 79,902,727(7,990,273) with 3.5% individual consumption tax applied 86,559,000|83,445,000 with 3.5% individual consumption tax applied 83,445,000|▶ Standard equipment of Exclusive Special plus • Smart Safety Technology: Remote Smart Parking Assist 2, Parking Collison- avoidance Assist(front/side/rear) • Exterior: Intelligent Front-Lighting System(IFS), Dynamic welcome/escort lighting(1 type), Sequential turn signals(front and rear), Ambient lighting auto flush door handles, Two-tone door garnish, Glossy black rear diffuser • Interior: Recycled PET suede interior materials(headlining/sunvisor), Fabric upholstered crash pad • Seat: BIO-processed natural leather seats(metal patch applied, embossed design punching), Passenger's seat walk-in device, 1st-row relaxation comfort seats(leg rest included), Ventilated 2nd-row seats • Convenience: Parking Distance Warning-Side, Head-Up Display, Digital key 2, Wireless phone charger(dual), Surround View Monitor, Blind-spot View Monitor, LED reverse light guide • Infotainment: Audio by BANG & OLUFSEN sound system(14 speakers, including external amp), Active road noise control, Active Sound Design|▶ [600,000] Built-in Cam 2 Plus, Augmented reality navigation ▶ [850,000] Indoor/outdoor V2L ▶ [900,000] Vision roof ▶ [1,380,000] Digital side mirror ▶ [750,000] Camera package ▶ [250,000] 19-inch alloy wheels & tires|
**Classification Details** **Indoor/outdoor V2L** Indoor V2L, Outdoor V2L(connectorless type) **Parking Assist** Surround View Monitor, Blind-spot View Monitor, Parking Distance Warning-Side, Parking Collison-avoidance Assist-Rear **Audio by BANG & OLUFSEN** Audio by BANG & OLUFSEN sound system(14 speakers, including external amp.), Active road noise control, Active Sound Design **sound system** **Camera package** Digital center mirror(with camera sensor cleaning system), Driver monitoring system THE ALL-NEW NEXO /// ECO-FRIENDLY CAR
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@@ -10,7 +10,7 @@ Department of the Treasury **Internal Revenue Service**
### This publication contains:
**Form 4070A, Employees Daily Record of** Tips **Form 4070, Employees Report of Tips to** Employer
**Form 4070A,** Employees Daily Record of Tips **Form 4070,** Employees Report of Tips to Employer
For the period
@@ -22,7 +22,9 @@ Name and address of employee
**Publication 1244 (Rev. 7-96)** Cat. No. 44472W
**Instructions** You must keep sufficient proof to show the amount of your tip income for the year. A daily record of your tip income is considered sufficient proof. Keep a daily record for each workday showing the amount of cash and credit card tips received directly from customers or other employees. Also keep a record of the amount of tips, if any, you paid to other employees through tip sharing, tip pooling or other arrangements, and the names of employees to whom you paid tips. Show the date that each entry is made. This date should be on or near the date you received the tip income. You may use Form 4070A, Employees Daily Record of Tips, or any other daily record to record your tips. **Reporting Tips to Your Employer.—If you** receive tips that total $20 or more for any month while working for one employer, you must report the tips to your employer. Tips include cash left by customers, tips customers add to credit card charges, and tips you receive from other employees. You must report your tips for any one month by the 10th day of the next month. If the 10th day falls on a Saturday, Sunday, or legal holiday, you may give the report to your employer on the next business day that is not a Saturday, Sunday, or legal holiday. You must report tips that total $20 or more every month regardless of your total wages and tips for the year. You may use Form 4070, Employees Report of Tips to Employer, to report your tips to your employer. See the instructions on the back of Form 4070. You must include all tips, including tips not reported to your employer, as wages on your income tax return. You may use the last page of this publication to total your tips for the year. Your employer must withhold income, social security, and Medicare (or railroad retirement) taxes on tips you report. Your employer usually deducts the withholding due on tips from your regular wages.
### Instructions
You must keep sufficient proof to show the amount of your tip income for the year. A daily record of your tip income is considered sufficient proof. Keep a daily record for each workday showing the amount of cash and credit card tips received directly from customers or other employees. Also keep a record of the amount of tips, if any, you paid to other employees through tip sharing, tip pooling or other arrangements, and the names of employees to whom you paid tips. Show the date that each entry is made. This date should be on or near the date you received the tip income. You may use **Form 4070A**, Employees Daily Record of Tips, or any other daily record to record your tips. **Reporting Tips to Your Employer.—**If you receive tips that total $20 or more for any month while working for one employer, you must report the tips to your employer. Tips include cash left by customers, tips customers add to credit card charges, and tips you receive from other employees. You must report your tips for any one month by the 10th day of the next month. If the 10th day falls on a Saturday, Sunday, or legal holiday, you may give the report to your employer on the next business day that is not a Saturday, Sunday, or legal holiday. You must report tips that total $20 or more every month regardless of your total wages and tips for the year. You may use **Form 4070**, Employees Report of Tips to Employer, to report your tips to your employer. See the instructions on the back of Form 4070. You must include all tips, including tips not reported to your employer, as wages on your income tax return. You may use the last page of this publication to total your tips for the year. Your employer must withhold income, social security, and Medicare (or railroad retirement) taxes on tips you report. Your employer usually deducts the withholding due on tips from your regular wages.
*(continued on inside of back cover)*
@@ -30,14 +32,14 @@ Form **4070A** Employees Daily Record of Tips (Rev. July 1996) **This is a vo
Establishment name (if different)
Date Date **a. Tips received**
Date Date **a.** Tips received
**b. Credit card tips c. Tips paid out to d. Names of employees to whom you**
**b.** Credit card tips **c.** Tips paid out to **d.** Names of employees to whom you
tips of directly from customers received other employees paid tips recd. entry and other employees 1 2 3 4 5 **Subtotals** **For Paperwork Reduction Act Notice, see Instructions on the back of Form 4070. Page 1**
Date Date **a. Tips received**
Date Date **a.** Tips received
**b. Credit card tips c. Tips paid out to d. Names of employees to whom you**
**b.** Credit card tips **c.** Tips paid out to **d.** Names of employees to whom you
tips of directly from customers received other employees paid tips recd. entry and other employees
7 8 9 10 11 12 13 14 15 **Subtotals**
@@ -48,13 +50,13 @@ tips of directly from customers received other employees paid tips recd. entr
**Page 3**
27 28 29 30 31 **Subtotals** **from pages** **1, 2, and 3** **Totals**
27 28 29 30 31 **Subtotals from pages** **1, 2, and 3** **Totals**
**1.** Report total cash tips (col. a) on Form 4070, line 1.
**2.** Report total credit card tips (col. b) on Form 4070, line 2.
**3.** Report total tips paid out (col. c) on Form 4070, line 3. **Page 4**
**1.** Report total cash tips (col. **a**) on Form 4070, line **1.**
**2.** Report total credit card tips (col. **b**) on Form 4070, line **2.**
**3.** Report total tips paid out (col. **c**) on Form 4070, line **3.** **Page 4**
Form Employees Report (Rev. July 1996)
Form **4070** Employees Report (Rev. July 1996)
## of Tips to EmployerOMB No. 1545-0065
@@ -66,17 +68,16 @@ Employers name and address (include establishment name, if different) **1** C
**3** Tips paid out
Month or shorter period in which tips were received **4** Net tips (lines 1 + 2 - 3) from, 19, to, 19 Signature Date
Month or shorter period in which tips were received **4** Net tips (lines **1 + 2 - 3**) from, 19, to, 19 Signature Date
**Paperwork Reduction Act Notice.—We ask for the** information on these forms to carry out the Internal Revenue laws of the United States. You are required to give us the information. We need it to ensure that you are complying with these laws and to allow us to figure and collect the right amount of tax. You are not required to provide the information requested on a form that is subject to the Paperwork Reduction Act unless the form displays a valid OMB control number. Books or records relating to a form or its instructions must be retained as long as their contents may become material in the administration of any Internal Revenue law. Generally, tax returns and return information are confidential, as required by Code section 6103. The time needed to complete Forms 4070 and 4070A will vary depending on individual circumstances. The estimated average times are: Recordkeeping—Form 4070, 7 min.; Form 4070A, 3 hr. and 23 min.; Learning **about the law—each form, 2 min.; Preparing Form 4070,** 13 min.; Form 4070A, 55 min.; and Copying and **providing Form 4070, 10 min.; Form 4070A, 14 min.** If you have comments concerning the accuracy of these time estimates or suggestions for making these
**Paperwork Reduction Act Notice.—**We ask for the information on these forms to carry out the Internal Revenue laws of the United States. You are required to give us the information. We need it to ensure that you are complying with these laws and to allow us to figure and collect the right amount of tax. You are not required to provide the information requested on a form that is subject to the Paperwork Reduction Act unless the form displays a valid OMB control number. Books or records relating to a form or its instructions must be retained as long as their contents may become material in the administration of any Internal Revenue law. Generally, tax returns and return information are confidential, as required by Code section 6103. The time needed to complete Forms 4070 and 4070A will vary depending on individual circumstances. The estimated average times are: **Recordkeeping**—Form 4070, 7 min.; Form 4070A, 3 hr. and 23 min.; **Learning** **about the law**—each form, 2 min.; **Preparing** Form 4070, 13 min.; Form 4070A, 55 min.; and **Copying and** **providing** Form 4070, 10 min.; Form 4070A, 14 min. If you have comments concerning the accuracy of these time estimates or suggestions for making these
forms simpler, we would be happy to hear from you. You can write to the Tax Forms Committee, Western Area Distribution Center, Rancho Cordova, CA 95743-0001. **Purpose.—Use this form to report tips you receive to** your employer. This includes cash tips, tips you receive from other employees, and credit card tips. You must report tips every month regardless of your total wages and tips for the year. However, you do not have to report tips to your employer for any month you received less than $20 in tips while working for that employer. Report tips by the 10th day of the month following the month that you receive them. If the 10th day is a Saturday, Sunday, or legal holiday, report tips by the next day that is not a Saturday, Sunday, or legal holiday. See Pub. 531, Reporting Tip Income, for more information. You can get additional copies of Pub. 1244, Employees Daily Record of Tips and Report to Employer, which contains both Forms 4070A and 4070, by calling 1-800-TAX-FORM (1-800-829-3676).
forms simpler, we would be happy to hear from you. You can write to the Tax Forms Committee, Western Area Distribution Center, Rancho Cordova, CA 95743-0001. **Purpose.—**Use this form to report tips you receive to your employer. This includes cash tips, tips you receive from other employees, and credit card tips. You must report tips every month regardless of your total wages and tips for the year. However, you do not have to report tips to your employer for any month you received less than $20 in tips while working for that employer. Report tips by the 10th day of the month following the month that you receive them. If the 10th day is a Saturday, Sunday, or legal holiday, report tips by the next day that is not a Saturday, Sunday, or legal holiday. See **Pub. 531**, Reporting Tip Income, for more information. You can get additional copies of **Pub. 1244**, Employees Daily Record of Tips and Report to Employer, which contains both Forms 4070A and 4070, by calling 1-800-TAX-FORM (1-800-829-3676).
**Instructions (continued)**
<u>Instructions (continued)</u>
**Unreported Tips.—If you received tips of $20 or** more for any month while working for one employer but did not report them to your employer, you must figure and pay social security and Medicare taxes on the unreported tips when you file your tax return. If you have unreported tips, you must use Form 1040 and Form 4137, Social Security and Medicare Tax on Unreported Tip Income, to report them. You may not use Form 1040A or 1040EZ. Employees subject to the Railroad Retirement Tax Act cannot use Form 4137 to pay railroad retirement tax on unreported tips. To get railroad retirement credit, you must report tips to your employer. If you do not report tips to your employer as required, you may be charged a penalty of 50% of the social security and Medicare taxes (or railroad retirement tax) due on the unreported tips unless there was reasonable cause for not reporting them. **Additional Information.—Get Pub. 531, Reporting** Tip Income, and Form 4137 for more information on tips. If you are an employee of certain large food or beverage establishments, see Pub. 531 for tip allocation rules. **Recordkeeping.—If you do not keep a daily** record of tips, you must keep other reliable proof of the tip income you received. This proof includes copies of restaurant bills and credit card charges that show amounts customers added as tips. Keep your tip income records for as long as the information on them may be needed in the administration of any Internal Revenue law.
**Unreported Tips.—**If you received tips of $20 or more for any month while working for one employer but did not report them to your employer, you must figure and pay social security and Medicare taxes on the unreported tips when you file your tax return. If you have unreported tips, you **must** use Form 1040 and **Form 4137,** Social Security and Medicare Tax on Unreported Tip Income, to report them. You may **not** use Form 1040A or 1040EZ. Employees subject to the Railroad Retirement Tax Act **cannot** use Form 4137 to pay railroad retirement tax on unreported tips. To get railroad retirement credit, you must report tips to your employer. If you do not report tips to your employer as required, you may be charged a penalty of 50% of the social security and Medicare taxes (or railroad retirement tax) due on the unreported tips unless there was reasonable cause for not reporting them. **Additional Information.—**Get **Pub. 531,** Reporting Tip Income, and Form 4137 for more information on tips. If you are an employee of certain large food or beverage establishments, see Pub. 531 for tip allocation rules. **Recordkeeping.—**If you do not keep a daily record of tips, you must keep other reliable proof of the tip income you received. This proof includes copies of restaurant bills and credit card charges that show amounts customers added as tips. Keep your tip income records for as long as the information on them may be needed in the administration of any Internal Revenue law.
### Instructions (continued)
Use this space to total your tips for the year
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@@ -6,7 +6,7 @@
8 4 Z E L L / L U R I E R E A L E S T A T E C E N T E R
**Table I: Cap rate correlations** **Cap Rate Correlation With:*** **BBB Corp** **10-Year Bond Yield S&P Dividend** **Treasury (10-15 yr) Yield** Multifamily 0.187 0.771 0.068 Industrial-0.221 0.748-0.307 CBD Office-0.449 0.694-0.458 Retail-0.181 0.649-02.58
**Table I:** Cap rate correlations **Cap Rate Correlation With:*** **BBB Corp** **10-Year Bond Yield S&P Dividend** **Treasury (10-15 yr) Yield** Multifamily 0.187 0.771 0.068 Industrial-0.221 0.748-0.307 CBD Office-0.449 0.694-0.458 Retail-0.181 0.649-02.58
* Based on 25 years of data for the 10-yrT & S&P DivYld; and 14 years for BBB.
**Figure 1:** NCREIF cap rates vs. 10-yearTreasury
@@ -20,7 +20,9 @@ R E V I E W 8 5
**Figure 2:** Capratespreadsover10-yearTreasury
**Basis Points -200** -400
**Basis Points** -200
-400
-600
@@ -32,7 +34,7 @@ R E V I E W 8 5
1982 1986 1990 1994 1998 2002 2006
**Table II: Correlationsofspreadsbypropertytype** **Correlation of Cap Rate Spreads Over Treasury** **Multifamily Industrial CBD Office**
**Table II:** Correlationsofspreadsbypropertytype **Correlation of Cap Rate Spreads Over Treasury** **Multifamily Industrial CBD Office**
||Multifamily|Industrial|CBD Office|
|---|---|---|---|
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@@ -0,0 +1,43 @@
Reprinted with corrections from *The Bell System Technical Journal,* Vol. 27, pp. 379423, 623656, July, October, 1948.
## A Mathematical Theory of Communication
### By C. E. SHANNON
INTRODUCTION
HE recent development of various methods of modulation such as PCM and PPM which exchange
# Tbandwidth for signal-to-noise ratio has intensified the interest in a general theory of communication. A
basis for such a theory is contained in the important papers of Nyquist¹ and Hartley² on this subject. In the present paper we will extend the theory to include a number of new factors, in particular the effect of noise in the channel, and the savings possible due to the statistical structure of the original message and due to the nature of the final destination of the information. The fundamental problem of communication is that of reproducing at one point either exactly or ap- proximately a message selected at another point. Frequently the messages have *meaning*; that is they refer to or are correlated according to some system with certain physical or conceptual entities. These semantic aspects of communication are irrelevant to the engineering problem. The significant aspect is that the actual message is one *selected from a set* of possible messages. The system must be designed to operate for each possible selection, not just the one which will actually be chosen since this is unknown at the time of design. If the number of messages in the set is finite then this number or any monotonic function of this number can be regarded as a measure of the information produced when one message is chosen from the set, all choices being equally likely. As was pointed out by Hartley the most natural choice is the logarithmic function. Although this definition must be generalized considerably when we consider the influence of the statistics of the message and when we have a continuous range of messages, we will in all cases use an essentially logarithmic measure. The logarithmic measure is more convenient for various reasons:
1. It is practically more useful. Parameters of engineering importance such as time, bandwidth, number of relays, etc., tend to vary linearly with the logarithm of the number of possibilities. For example, adding one relay to a group doubles the number of possible states of the relays. It adds 1 to the base 2 logarithm of this number. Doubling the time roughly squares the number of possible messages, or doubles the logarithm, etc.
2. It is nearer to our intuitive feeling as to the proper measure. This is closely related to (1) since we in- tuitively measures entities by linear comparison with common standards. One feels, for example, that two punched cards should have twice the capacity of one for information storage, and two identical channels twice the capacity of one for transmitting information.
3. It is mathematically more suitable. Many of the limiting operations are simple in terms of the loga- rithm but would require clumsy restatement in terms of the number of possibilities. The choice of a logarithmic base corresponds to the choice of a unit for measuring information. If the
base 2 is used the resulting units may be called binary digits, or more briefly *bits,* a word suggested by
J. W. Tukey. A device with two stable positions, such as a relay or a flip-flop circuit, can store one bit of information. *N* such devices can store*N* bits, since the total number of possible states is 2
*N* and log₂2 *N* = *N*. If the base 10 is used the units may be called decimal digits. Since
log₂*M* = log₁₀*M*= log₁₀2 = 3:32 log₁₀*M*;
1 Nyquist, H., “Certain Factors Affecting Telegraph Speed,” *Bell System Technical Journal,* April 1924, p. 324; “Certain Topics in Telegraph Transmission Theory,” *A.I.E.E. Trans.,* v. 47, April 1928, p. 617. 2 Hartley, R. V. L., “Transmission of Information,” *Bell System Technical Journal,* July 1928, p. 535.
INFORMATION SOURCE TRANSMITTER RECEIVER DESTINATION
SIGNAL RECEIVED SIGNAL MESSAGE MESSAGE
NOISE SOURCE
Fig. 1 — Schematic diagram of a general communication system.
a decimal digit is about 3 13 bits. A digit wheel on a desk computing machine has ten stable positions and therefore has a storage capacity of one decimal digit. In analytical work where integration and differentiation are involved the base *e* is sometimes useful. The resulting units of information will be called natural units. Change from the base *a* to base *b* merely requires multiplication by log*ba*. By a communication system we will mean a system of the type indicated schematically in Fig. 1. It consists of essentially five parts:
1. An *information source* which produces a message or sequence of messages to be communicated to the receiving terminal. The message may be of various types: (a) A sequence of letters as in a telegraph of teletype system; (b) A single function of time *f* (*t*) as in radio or telephony; (c) A function of time and other variables as in black and white television — here the message may be thought of as a function *f* (*x*; *y*;*t*) of two space coordinates and time, the light intensity at point (*x*; *y*) and time *t* on a pickup tube plate; (d) Two or more functions of time, say *f* (*t*), *g*(*t*), *h*(*t*) — this is the case in “three- dimensional” sound transmission or if the system is intended to service several individual channels in multiplex; (e) Several functions of several variables — in color television the message consists of three functions *f* (*x*; *y*;*t*), *g*(*x*; *y*;*t*), *h*(*x*; *y*;*t*) defined in a three-dimensional continuum — we may also think of these three functions as components of a vector field defined in the region — similarly, several black and white television sources would produce “messages” consisting of a number of functions of three variables; (f) Various combinations also occur, for example in television with an associated audio channel.
2. A *transmitter* which operates on the message in some way to produce a signal suitable for trans- mission over the channel. In telephony this operation consists merely of changing sound pressure into a proportional electrical current. In telegraphy we have an encoding operation which produces a sequence of dots, dashes and spaces on the channel corresponding to the message. In a multiplex PCM system the different speech functions must be sampled, compressed, quantized and encoded, and finally interleaved properly to construct the signal. Vocoder systems, television and frequency modulation are other examples of complex operations applied to the message to obtain the signal.
3. The *channel* is merely the medium used to transmit the signal from transmitter to receiver. It may be a pair of wires, a coaxial cable, a band of radio frequencies, a beam of light, etc.
4. The *receiver* ordinarily performs the inverse operation of that done by the transmitter, reconstructing the message from the signal.
5. The *destination* is the person (or thing) for whom the message is intended. We wish to consider certain general problems involving communication systems. To do this it is first
necessary to represent the various elements involved as mathematical entities, suitably idealized from their
+68 -64
View File
@@ -1,20 +1,13 @@
(e) [Reserved]. For further guidance, see §1.1563-3T(e)(1). Par. 50. Section 1.1563-3T is added to read as follows:
§1.1563-3T Rules for determining stock ownership (temporary).
||||(e) [Reserved]. For further guidance, see §1.1563-3T(e)(1). Par. 50. Section 1.1563-3T is added to read as follows: §1.1563-3T Rules for determining stock ownership (temporary). (a) through (d)(2)(iii) [Reserved]. For further guidance, see §1.1563-3(a)|
|---|---|---|---|
||through (d)(2)(iii).|||
||(iv)|Statement|. If the application of paragraph (d)(2)(ii) or (iii) of §1.1563-3 does not result in a corporation being treated as a component member of only one controlled group of corporations on a December 31, then such corporation will be treated as a component member of only one such group on such date. Such corporation may elect the group in which it is to be included by including on or with its income tax return a statement entitled, “STATEMENT TO ELECT CONTROLLED GROUP PURSUANT TO §1.1563-3T(d)(2)(iv).” The statement must include-- (A) A description of each of the controlled groups in which the corporation could be included. The description must include the name and employer identification number of each component member of each such group and the stock ownership of the component members of each such group; and (B) The following representation: [INSERT NAME AND EMPLOYER IDENTIFICATION NUMBER OF CORPORATION] ELECTS TO BE TREATED AS A COMPONENT MEMBER OF THE [INSERT DESIGNATION OF GROUP].|
||(v)|Election|-- (A) Election filed. An election filed under paragraph (d)(2)(iv) of this section is irrevocable and effective until paragraph (d)(2)(ii) or (iii) of §1.1563-3 applies or until a change in the stock ownership of the corporation results in|
(a) through (d)(2)(iii) [Reserved]. For further guidance, see §1.1563-3(a)
through (d)(2)(iii). (iv) Statement. If the application of paragraph (d)(2)(ii) or (iii) of §1.1563-3 does not result in a corporation being treated as a component member of only one controlled group of corporations on a December 31, then such corporation will be treated as a component member of only one such group on such date. Such corporation may elect the group in which it is to be included by including on or with its income tax return a statement entitled, “STATEMENT TO ELECT CONTROLLED GROUP PURSUANT TO §1.1563-3T(d)(2)(iv).” The statement must include--
(A) A description of each of the controlled groups in which the corporation
could be included. The description must include the name and employer identification number of each component member of each such group and the stock ownership of the component members of each such group; and
(B) The following representation: [INSERT NAME AND EMPLOYER
IDENTIFICATION NUMBER OF CORPORATION] ELECTS TO BE TREATED AS A COMPONENT MEMBER OF THE [INSERT DESIGNATION OF GROUP].
(v) Election-- (A) Election filed. An election filed under paragraph (d)(2)(iv) of
this section is irrevocable and effective until paragraph (d)(2)(ii) or (iii) of §1.1563-3 applies or until a change in the stock ownership of the corporation results in
|termination of membership in the controlled group in which such corporation has been included. (B) Election not filed.|In the event no election is filed in accordance with the|
|termination of membership in the controlled group in which such corporation has||
|---|---|
|been included.||
|(B) Election not filed.|In the event no election is filed in accordance with the|
|provisions of paragraph (d)(2)(iv) of this section, then the Internal Revenue Service||
|will determine the group in which such corporation is to be included. Such||
|determination will be binding for all subsequent years unless the corporation files a||
@@ -27,43 +20,48 @@ this section is irrevocable and effective until paragraph (d)(2)(ii) or (iii) of
Federal income tax return (including any amended return filed on or before the due date (including extensions) of such original return) timely filed on or after May 30,
2006.
(2) Expiration date. The applicability of this section will expire on May 26,
2009. Par. 51. Section 1.6012-2 is amended by revising paragraph (c) and adding paragraph (k) to read as follows: §1.6012-2 Corporations required to make returns of income.
(2) <u>Expiration date</u>. The applicability of this section will expire on May 26,
2009. Par. 51. Section 1.6012-2 is amended by revising paragraph (c) and adding paragraph (k) to read as follows: <u>§1.6012-2 Corporations required to make returns of income</u>.
* * * * *
(c) [Reserved]. For further guidance, see §1.6012-2T(c).
* * * * *
(k) [Reserved]. For further guidance, see §1.6012-2T(k)(1).
Par. 52. Section 1.6012-2T is added to read as follows: §1.6012-2T Corporations required to make returns of income (temporary).
Par. 52. Section 1.6012-2T is added to read as follows: <u>§1.6012-2T Corporations required to make returns of income (temporary)</u>.
(a) through (b) [Reserved]. For further guidance, see §1.6012-2(a) through
(b).
(c) Insurance companies-- (1) Domestic life insurance companies-- (i) In
general. A life insurance company subject to tax under section 801 shall make a return on Form 1120L. Except as provided in paragraph (c)(4) of this section, such company shall file with its return--
<u>general</u>. A life insurance company subject to tax under section 801 shall make a return on Form 1120L. Except as provided in paragraph (c)(4) of this section, such company shall file with its return--
(A) A copy of its annual statement which shows the reserves used by the
company in computing the taxable income reported on its return; and
(B) A copy of Schedule A (real estate) and of Schedule D (bonds and stocks),
or any successor thereto, of such annual statement. (ii) Mutual savings banks. Mutual savings banks conducting life insurance business and meeting the requirements of section 594 are subject to partial tax computed on Form 1120 and partial tax computed on Form 1120L. The Form 1120L is attached as a schedule to Form 1120, together with the annual statement and schedules required to be filed with Form 1120L.
or any successor thereto, of such annual statement. (ii) <u>Mutual savings banks</u>. Mutual savings banks conducting life insurance business and meeting the requirements of section 594 are subject to partial tax computed on Form 1120 and partial tax computed on Form 1120L. The Form 1120L is attached as a schedule to Form 1120, together with the annual statement and schedules required to be filed with Form 1120L.
(2) Domestic nonlife insurance companies. Every domestic insurance
(2) <u>Domestic nonlife insurance companies</u>. Every domestic insurance
company other than a life insurance company shall make a return on Form 1120PC. This includes organizations described in section 501(m)(1) that provide commercial- type insurance and organizations described in section 833. Except as provided in paragraph (c)(4) of this section, such company shall file with its return a copy of its
annual statement (or a pro forma annual statement), including the underwriting and investment exhibit for the year covered by such return.
||(3) Foreign insurance companies. The provisions of paragraphs (c)(1) and|
|---|---|
||(c)(2) of this section concerning the returns and statements of insurance companies subject to tax under section 801 or section 831 also apply to foreign insurance companies subject to tax under those sections, except that the copy of the annual statement required to be submitted with the return shall, in the case of a foreign insurance company that is not required to file an annual statement, be a copy of the pro forma annual statement relating to the United States business of such company. (4) Exception for insurance companies filing their Federal income tax returns electronically. If an insurance company described in paragraph (c)(1), (c)(2), or (c)(3) of this section files its Federal income tax return electronically, it should not include on or with such return its annual statement (or pro forma annual statement), or any portion thereof. Such statement must be available at all times for inspection by authorized Internal Revenue Service officers or employees and retained for so long as such statements may be material in the administration of any internal revenue law. See §1.6001-1(e). (5) Definition. For purposes of this section, the term annual statement means the annual statement, the form of which is approved by the National Association of Insurance Commissioners (NAIC), which is filed by an insurance company for the year with the insurance departments of States, Territories, and the District of|
(3) <u>Foreign insurance companies</u>. The provisions of paragraphs (c)(1) and
(c)(2) of this section concerning the returns and statements of insurance companies subject to tax under section 801 or section 831 also apply to foreign insurance companies subject to tax under those sections, except that the copy of the annual statement required to be submitted with the return shall, in the case of a foreign insurance company that is not required to file an annual statement, be a copy of the pro forma annual statement relating to the United States business of such company.
(4) <u>Exception for insurance companies filing their Federal income tax returns</u>
<u>electronically</u>. If an insurance company described in paragraph (c)(1), (c)(2), or
(c)(3) of this section files its Federal income tax return electronically, it should not include on or with such return its annual statement (or pro forma annual statement), or any portion thereof. Such statement must be available at all times for inspection by authorized Internal Revenue Service officers or employees and retained for so long as such statements may be material in the administration of any internal revenue law. See §1.6001-1(e).
(5) <u>Definition</u>. For purposes of this section, the term <u>annual statement</u> means
the annual statement, the form of which is approved by the National Association of Insurance Commissioners (NAIC), which is filed by an insurance company for the year with the insurance departments of States, Territories, and the District of
Columbia. The term annual statement also includes a pro forma annual statement if the insurance company is not required to file the NAIC annual statement.
(d) through (j) [Reserved]. For further guidance, see §1.6012-2(d) through (j).
(k) Effective date-- (1) Applicability date. This section applies to any original
(k) <u>Effective date</u>-- (1) <u>Applicability date</u>. This section applies to any original
Federal income tax return (including any amended return filed on or before the due date (including extensions) of such original return) timely filed on or after May 30,
2006.
(2) Expiration date. The applicability of this section will expire on May 26,
(2) <u>Expiration date</u>. The applicability of this section will expire on May 26,
2009.
|||Par. 53. For each entry in the “Location” column of the following table,|
@@ -101,45 +99,32 @@ section and paragraph
(c)(4), and (c)(5) of this section, and paragraph
(c)(2) of §1.382-8T
||§1.382-8(g), Example|
|---|---|
||The first sentence of §1.382-8(g), Example §1.382-8(g), Example §1.382-8(g), Example|
(2)(c)
(2)(e)
(3)(b)
(3)(c)(1)(B)
||The second sentence of|
|---|---|
||§1.382-8(g), Example The second sentence of §1.382-8(g), Example The first sentence of §1.1502-32(b)(4)(v)(A) The first sentence of §1.1502-32(b)(4)(v)(B)|
(4)(c)
(5)(c)
|The fifth sentence of|paragraph (c) of this|paragraphs (c)(1), (c)(3),|
|---|---|---|
|§1.382-8(f)|section|(c)(4), and (c)(5) of this section, and paragraph (c)(2) of §1.382-8T|
|§1.382-8(g), Example|paragraph (c) of this|paragraphs (c)(1), (c)(3), section, and paragraph (c)(2) of §1.382-8T|
|The second sentence of|paragraph (c) of this|paragraphs (c)(1), (c)(3),|
|§1.382-8(g), Example|section|(c)(4), and (c)(5) of this|
|§1.382-8(g), Example|section paragraph (c)(2) of this section paragraph (c)(2) of this section paragraph (c)(2) of this section paragraphs (c)(1) and (2) of this section paragraph (c)(2) of this section paragraph (c)(2) of this section paragraph (b)(4)(iv) of this section paragraph (b)(4)(iv) of this section|(c)(4), and (c)(5) of this (c)(2) of §1.382-8T paragraph (c)(2) of §1.382-8T paragraph (c)(2) of §1.382-8T paragraph (c)(2) of §1.382-8T paragraph (c)(1) of this section and paragraph (c)(2) of §1.382-8T paragraph (c)(2) of §1.382-8T paragraph (c)(2) of §1.382-8T paragraph (b)(4)(iv) of §1.1502-32T paragraph (b)(4)(iv) of §1.1502-32T|
(1)(b)(2) section (c)(4), and (c)(5) of this
(1)(c) section, and paragraph
(c)(2) of §1.382-8T
|§1.382-8(g), Example|paragraph (c)(2) of this|paragraph (c)(2) of|
|---|---|---|
|The first sentence of|paragraph (c)(2) of this|paragraph (c)(2) of|
|§1.382-8(g), Example|section|§1.382-8T|
|§1.382-8(g), Example|paragraph (c)(2) of this|paragraph (c)(2) of|
|§1.382-8(g), Example|paragraphs (c)(1) and (2)|paragraph (c)(1) of this|
(2)(c) section §1.382-8T
(2)(e)
(3)(b) section §1.382-8T
(3)(c)(1)(B) of this section section and paragraph
(c)(2) of §1.382-8T
|The second sentence of|paragraph (c)(2) of this|paragraph (c)(2) of|
|---|---|---|
|§1.382-8(g), Example|section|§1.382-8T|
|The second sentence of|paragraph (c)(2) of this|paragraph (c)(2) of|
|§1.382-8(g), Example|section|§1.382-8T|
|The first sentence of|paragraph (b)(4)(iv) of|paragraph (b)(4)(iv) of|
|§1.1502-32(b)(4)(v)(A)|this section|§1.1502-32T|
|The first sentence of|paragraph (b)(4)(iv) of|paragraph (b)(4)(iv) of|
|§1.1502-32(b)(4)(v)(B)|this section|§1.1502-32T|
(4)(c)
(5)(c)
|§1.1502-35(c)(4)(ii)(B)|§1.1502-76(b)(2)(ii)(D)|§1.1502-76T(b)(2)(ii)(D)|
|---|---|---|
|§1.1502-76(b)(2)(ii)(A)(2)|paragraph (b)(2)(ii)(D) of this section|paragraph (b)(2)(ii)(D) of §1.1502-76T|
@@ -168,14 +153,33 @@ section and paragraph
|§1.6043-2(a)|or 1.1081-11|3T(a), or §1.1081-11T|
|The first sentence of §301.6011-5T(a) (twice)|§1.6012-2|paragraphs (a), (b) and (d) through (j) of §1.6012- 2, and paragraph (c) of §1.6012-2T|
|||PART 602--OMB CONTROL NUMBERS UNDER THE PAPERWORK||
|---|---|---|---|
||REDUCTION ACT Authority: 26 U.S.C. 7805. 1. The following entries to the table are removed: §602.101 OMB Control numbers.|Par. 54. The authority citation for part 602 continues to read as follows: Par. 55. In §602.101, paragraph (b) is amended to read as follows:||
|* * * * *|(b) * * * CFR part or section where identified or described||Current OMB control No.|
|* * * * *|1.332-6………………………………………………………………….|1.382-11……………………………………………………………….. 1545-2019 1.351-3…………………………………………………………………. 1545-2019 1.355-5…………………………………………………………………. 1545-2019 1.368-3…………………………………………………………………. 1545-2019 1.1081-11………………………………………………………………. 1545-2019|1545-2019|
|* * * * *|§602.101 OMB Control numbers.|______________________________________________________________ 2. The following entries are added in numerical order to the table:||
|* * * * *|(b) * * * CFR part or section where identified or described||Current OMB control No.|
|* * * * *|1.302-2T………………………………………………………………… 1545 1.302-4T………………………………………………………………… 1545||-2019 -2019|
PART 602--OMB CONTROL NUMBERS UNDER THE PAPERWORK REDUCTION ACT Par. 54. The authority citation for part 602 continues to read as follows: Authority: 26 U.S.C. 7805. Par. 55. In §602.101, paragraph (b) is amended to read as follows:
1. The following entries to the table are removed:
<u>§602.101 OMB Control numbers</u>.
* * * * *
(b) * * *
CFR part or section where Current OMB identified or described control No.
* * * * *
1.332-6…………………………………………………………………. 1545-2019
1.382-11……………………………………………………………….. 1545-2019
1.351-3…………………………………………………………………. 1545-2019
1.355-5…………………………………………………………………. 1545-2019
1.368-3…………………………………………………………………. 1545-2019
1.1081-11………………………………………………………………. 1545-2019
* * * * * **______________________________________________________________**
2. The following entries are added in numerical order to the table:
<u>§602.101 OMB Control numbers</u>.
* * * * *
(b) * * *
CFR part or section where Current OMB identified or described control No.
* * * * *
1.302-2T………………………………………………………………… 1545-2019
1.302-4T………………………………………………………………… 1545-2019
|1.331-1T………………………………………………………………… 1545|-2019|
|---|---|
+11 -9
View File
@@ -6,27 +6,29 @@
#### Thermodynamic Properties
**of**
®
**of** ®
# Freon 12
**(R-12)** **Technical Information** **Technical Information**
##### (R-12)
##### Technical Information Technical Information
**®** **Thermodynamic Properties of Freon 12 Refrigerant** **(R-12)** **SI Units**
Tables of the thermodynamic **Units** properties of R-12 have been developed and are presented here. P = Pressure in kPa. Absolute This information is based on values calculated using the NIST REFPROP T = Temperature in Celcius Database (McLinden, M.O., Klein,
S.A., Lemmon, E.W., and Peskin, Vf = Fluid (liquid) specific volume
A.P., NIST Standard Reference in cubic meters per kilogram Database 23, NIST thermodynamic and transport properties of Vg = Vapour (gas) specific volume refrigerants and refrigerant in cubic meters per kilogram mixtures REFPROP version 6.01, Standard Reference Data Program, df and dg = Fluid and Vapour National Institute of Standards and (respectively) densities in Technology, 1998). kilograms per cubic meter
A.P., NIST Standard Reference in cubic meters per kilogram Database 23, NIST thermodynamic and transport properties of Vg = Vapour (gas) specific volume refrigerants and refrigerant in cubic meters per kilogram mixtures REFPROP version 6.01, Standard Reference Data Program, df and dg = Fluid and Vapour National Institute of Standards and (respectively) densities in Technology, 1998).
kilograms per cubic meter
##### H = Enthalpy (kJ/kg)
##### S = Entropy (kJ/kg.K)
##### Physical Properties
|Chemical Formula|CCl2F2|
|Chemical Formula|CCl₂F₂|
|---|---|
|Molecular mass|120.91|
|Boiling Point At one atmosphere|-29.75°C|
@@ -43,9 +45,9 @@ l
**Freon** **®** **12 Saturation Properties-Temperature Table**
|Temp|Pressure||Volume|||Density||Enthalpy|||Entropy|Temp|
|---|---|---|---|---|---|---|---|---|---|---|---|---|
|°C|[kPa]|[m3 Liquid v f|/kg]|Vapour v g|Liquid d f|[kg/m3] Vapour d g|Liquid H f|[kJ/kg] Latent H fg|Vapour H g|Liquid S f|[kJ/K-kg] Vapour S g|°C|
|Temp|Pressure||Volume||Density||Enthalpy|||Entropy|Temp|
|---|---|---|---|---|---|---|---|---|---|---|---|
|°C|[kPa]|[m³ Liquid v f|/kg] Vapour v g|[kg/m³ Liquid d f|] Vapour d g|Liquid H f|[kJ/kg] Latent H fg|Vapour H g|Liquid S f|[kJ/K-kg] Vapour S g|°C|
|-100|1.2|0.0006|10.0000|1679.0|0.100|113.3|192.8|306.1|0.6077|1.7210|-100|
|---|---|---|---|---|---|---|---|---|---|---|---|
+72
View File
@@ -270,6 +270,78 @@ class TestExtractTextInRegions:
)
# ---------------------------------------------------------------------------
# extract_pages_markdown / extract_pages_markdown_bytes
# ---------------------------------------------------------------------------
class TestExtractPagesMarkdown:
def test_default_returns_all_pages(self):
result = pdf_inspector.extract_pages_markdown(
fixture_path("thermo-freon12.pdf")
)
assert len(result.pages) == 3
assert [p.page for p in result.pages] == [0, 1, 2]
assert all(isinstance(p.markdown, str) for p in result.pages)
def test_bytes_default_returns_all_pages(self):
data = fixture_bytes("thermo-freon12.pdf")
result = pdf_inspector.extract_pages_markdown_bytes(data)
assert len(result.pages) == 3
def test_selected_pages_preserve_order(self):
result = pdf_inspector.extract_pages_markdown(
fixture_path("thermo-freon12.pdf"), pages=[2, 0]
)
assert [p.page for p in result.pages] == [2, 0]
def test_bytes_selected_pages_preserve_order(self):
data = fixture_bytes("thermo-freon12.pdf")
result = pdf_inspector.extract_pages_markdown_bytes(data, pages=[1])
assert len(result.pages) == 1
assert result.pages[0].page == 1
def test_page_fields(self):
result = pdf_inspector.extract_pages_markdown(
fixture_path("thermo-freon12.pdf"), pages=[0]
)
page = result.pages[0]
assert isinstance(page.page, int)
assert isinstance(page.markdown, str)
assert isinstance(page.needs_ocr, bool)
assert not page.needs_ocr # text-based fixture
assert len(page.markdown) > 0
def test_result_fields(self):
result = pdf_inspector.extract_pages_markdown(
fixture_path("thermo-freon12.pdf")
)
assert isinstance(result.pages, list)
assert isinstance(result.pages_with_tables, list)
assert isinstance(result.pages_with_columns, list)
assert isinstance(result.pages_needing_ocr, list)
assert isinstance(result.is_complex, bool)
def test_out_of_range_page_marks_needs_ocr(self):
result = pdf_inspector.extract_pages_markdown(
fixture_path("thermo-freon12.pdf"), pages=[9999]
)
assert len(result.pages) == 1
assert result.pages[0].needs_ocr
assert result.pages[0].markdown == ""
def test_repr(self):
result = pdf_inspector.extract_pages_markdown(
fixture_path("thermo-freon12.pdf"), pages=[0]
)
assert "PagesExtractionResult" in repr(result)
assert "PageMarkdown" in repr(result.pages[0])
def test_not_a_pdf(self):
with pytest.raises(ValueError):
pdf_inspector.extract_pages_markdown_bytes(b"not a pdf")
# ---------------------------------------------------------------------------
# Error handling
# ---------------------------------------------------------------------------
+1304
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+37
View File
@@ -0,0 +1,37 @@
[package]
name = "pdf-inspector-wasm"
version = "0.1.3"
edition = "2021"
authors = ["Firecrawl Team"]
description = "Browser WebAssembly bindings for pdf-inspector"
license = "MIT"
repository = "https://github.com/firecrawl/pdf-inspector"
homepage = "https://github.com/firecrawl/pdf-inspector"
readme = "README.md"
publish = false
[lib]
crate-type = ["cdylib", "rlib"]
[dependencies]
console_error_panic_hook = "0.1"
js-sys = "0.3"
pdf-inspector = { path = ".." }
serde = { version = "1", features = ["derive"] }
serde-wasm-bindgen = "0.6"
wasm-bindgen = "0.2"
[dev-dependencies]
wasm-bindgen-test = "0.3"
[profile.release]
codegen-units = 1
lto = true
opt-level = "s"
strip = true
[package.metadata.wasm-pack.profile.release]
# Rust 1.95 emits bulk-memory instructions that the binaryen bundled with
# wasm-pack 0.15.0 does not yet validate. rustc still performs the release,
# size, and LTO optimizations above.
wasm-opt = false
+58
View File
@@ -0,0 +1,58 @@
MIT License
Copyright (c) 2026 Firecrawl
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
Third-party notices
===================
Adobe CMaps
-----------
The WebAssembly binary embeds binary CMaps derived from Adobe CMap resources.
Copyright 1990-2009 Adobe Systems Incorporated.
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
Redistributions of source code must retain the above copyright notice, this
list of conditions and the following disclaimer.
Redistributions in binary form must reproduce the above copyright notice,
this list of conditions and the following disclaimer in the documentation
and/or other materials provided with the distribution.
Neither the name of Adobe Systems Incorporated nor the names of its
contributors may be used to endorse or promote products derived from this
software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE
LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
POSSIBILITY OF SUCH DAMAGE.
+60
View File
@@ -0,0 +1,60 @@
# @firecrawl/pdf-inspector-wasm
Browser WebAssembly bindings for [pdf-inspector](https://github.com/firecrawl/pdf-inspector). Classify PDFs and extract structured Markdown locally from a `Uint8Array`, using the same Rust core as the native Node.js, Python, and Rust packages.
## Install
```bash
npm install @firecrawl/pdf-inspector-wasm
```
## Usage
```ts
import init, { processPdf } from "@firecrawl/pdf-inspector-wasm";
await init();
const response = await fetch("/annual-report.pdf");
const pdf = new Uint8Array(await response.arrayBuffer());
const result = processPdf(pdf);
console.log(result.pdfType);
console.log(result.markdown);
```
Pass options when you need selected pages or compact Markdown:
```ts
const result = processPdf(pdf, {
pages: [1, 3, 5],
profile: "compact",
includePageMarkers: true,
});
```
The package also exports:
- `detectPdf(pdf, options?)` for detection without extraction.
- `classifyPdf(pdf)` for the lightweight result shape shared with the native Node.js API.
- `extractText(pdf)` for plain text.
- `version()` for the WASM package version.
## Browser behavior
- Parsing runs locally. PDF bytes are not uploaded anywhere.
- The build is single-threaded and does not require cross-origin isolation.
- CMaps are embedded so CJK font decoding does not depend on a filesystem.
- Extraction is synchronous after `init()`. For large documents, call it from a Web Worker to keep the UI responsive.
- Image-only documents still require a separate OCR step.
## Build from source
```bash
cargo install wasm-pack --version 0.15.0 --locked
wasm-pack build wasm --target web --scope firecrawl --release
```
## License
MIT

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