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..
Author SHA1 Message Date
Abimael Martell c19bb56c66 refactor(vision): finalize OCR API 2026-08-16 22:09:17 -07:00
Abimael Martell 8552efba5e fix(vision): address OCR hardening review 2026-08-16 22:09:08 -07:00
Abimael Martell 40672d6752 fix(vision): harden OCR recovery 2026-08-16 21:42:45 -07:00
Abimael Martell 6d4f044d67 fix(vision): preserve adaptive OCR fallbacks 2026-08-16 21:42:45 -07:00
Abimael Martell 7e7c85801f feat(vision): adaptively fuse native and OCR text 2026-08-16 21:42:45 -07:00
Abimael Martell c6df46e328 fix(vision): validate native recovery coverage 2026-08-16 21:42:45 -07:00
Abimael Martell 852a790aa5 feat(vision): recover credible PDFium text layers 2026-08-16 21:42:45 -07:00
Abimael Martell 634a29f04d fix(tables): preserve numbered reference notes 2026-08-16 21:42:45 -07:00
Abimael Martell 0e2e287c04 fix(vision): harden OCR engine caching 2026-08-16 21:42:45 -07:00
Abimael Martell 616f9b59fb perf(vision): reuse OCR runtime sessions 2026-08-16 21:42:45 -07:00
Abimael Martell 21a436ac1b fix(vision): normalize white bullet rows 2026-08-16 21:40:55 -07:00
Abimael Martell d2d8e35a7b fix(vision): harden OCR line recovery 2026-08-16 21:30:07 -07:00
Abimael Martell 30c9dbbc72 fix(vision): preserve OCR row boundaries 2026-08-16 21:30:07 -07:00
Abimael Martell 162c5cbf10 refactor(vision): expose OCR API 2026-08-16 21:30:07 -07:00
Abimael Martell 4e4cfdc74c fix(vision): harden OCR API 2026-08-16 21:30:07 -07:00
Abimael Martell 24e66245cb feat(vision): expose OCR pipeline 2026-08-16 21:30:07 -07:00
Abimael Martell cee7b6c381 refactor(vision): use OCR fusion terminology 2026-08-16 21:30:07 -07:00
Abimael Martell b5a63d7036 fix(vision): make OCR fusion conservative 2026-08-16 21:30:07 -07:00
Abimael Martell 6829397bce feat(vision): fuse OCR output 2026-08-16 21:30:07 -07:00
Abimael Martell fc16133a58 refactor(vision): name routed OCR results 2026-08-16 21:30:06 -07:00
Abimael Martell 41a6a67c03 fix(vision): serialize model acquisition 2026-08-16 21:30:06 -07:00
Abimael Martell 58fe5a0224 feat(vision): add OCR routing 2026-08-16 21:30:06 -07:00
Abimael Martell c4c969a562 refactor(vision): use OCR engine terminology 2026-08-16 21:30:06 -07:00
Abimael Martell bf0cd8decb fix(vision): harden OAR runtime loading 2026-08-16 21:30:06 -07:00
Abimael Martell 232b4cdef5 feat(vision): add OAR OCR engine 2026-08-16 21:30:06 -07:00
Abimael Martell e3f5429638 refactor(vision): use OCR terminology 2026-08-16 21:30:06 -07:00
Abimael Martell f6cbe979f6 fix(vision): harden OCR contracts 2026-08-16 21:30:06 -07:00
Abimael Martell 3f43745313 feat(vision): add OCR contracts 2026-08-16 21:30:06 -07:00
Abimael Martell a012cb65a6 docs(render): use OCR terminology 2026-08-16 21:30:06 -07:00
Abimael Martell 6567e1ab2d fix(render): honor PDFium row stride 2026-08-16 21:30:06 -07:00
Abimael Martell 3af409d27f feat(render): add optional PDFium page rendering 2026-08-16 21:30:06 -07:00
28 changed files with 102 additions and 3563 deletions
-2
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@@ -1,2 +0,0 @@
*.pdf binary
tests/snapshots/*.md text eol=lf
+1 -184
View File
@@ -9,9 +9,6 @@ on:
env:
CARGO_TERM_COLOR: always
permissions:
contents: read
jobs:
test:
name: Test
@@ -71,12 +68,9 @@ jobs:
with:
key: clippy
- name: Run default clippy
- name: Run clippy
run: cargo clippy -- -D warnings
- name: Run OCR clippy
run: cargo clippy --features ocr -- -D warnings
build:
name: Build
runs-on: ${{ matrix.os }}
@@ -99,183 +93,6 @@ jobs:
- name: Build
run: cargo build --release --verbose
ocr:
name: OCR (${{ matrix.os }})
runs-on: ${{ matrix.os }}
strategy:
fail-fast: false
matrix:
os: [ubuntu-latest, macos-latest, windows-latest]
steps:
- uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
- name: Install Rust
uses: dtolnay/rust-toolchain@4cda84d5c5c54efe2404f9d843567869ab1699d4 # stable
with:
toolchain: stable
- name: Cache cargo
uses: Swatinem/rust-cache@c19371144df3bb44fab255c43d04cbc2ab54d1c4 # v2.9.1
with:
key: ocr-${{ matrix.os }}
- name: Test optional OCR feature
run: cargo test --features ocr
ocr-runtime:
name: OCR runtime smoke
runs-on: ubuntu-latest
timeout-minutes: 30
steps:
- uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
- name: Install Rust
uses: dtolnay/rust-toolchain@4cda84d5c5c54efe2404f9d843567869ab1699d4 # stable
with:
toolchain: stable
- uses: actions/setup-python@5fda3b95a4ea91299a34e894583c3862153e4b97 # v7.0.0
with:
python-version: '3.12'
- uses: oven-sh/setup-bun@0c5077e51419868618aeaa5fe8019c62421857d6 # v2.2.0
with:
bun-version: latest
- name: Cache cargo
uses: Swatinem/rust-cache@c19371144df3bb44fab255c43d04cbc2ab54d1c4 # v2.9.1
with:
key: ocr-runtime
workspaces: |
. -> target
napi -> target
- name: Install PDFium
shell: bash
run: |
archive="$RUNNER_TEMP/firecrawl-pdfium-linux-x64.tgz"
directory="$RUNNER_TEMP/firecrawl-pdfium"
curl --fail --location --silent --show-error \
https://github.com/firecrawl/pdfium-rs/releases/download/native-v7988/firecrawl-pdfium-linux-x64.tgz \
--output "$archive"
echo "6248189e07bbc33cdeb31976c539a88614307c8a19f3276dbd018efbe5b4a2a2 $archive" | sha256sum --check
mkdir -p "$directory"
tar -xzf "$archive" -C "$directory"
pdfium_path="$(find "$directory" -type f -name 'libpdfium.so' -print -quit)"
test -n "$pdfium_path"
echo "PDFIUM_LIB_PATH=$pdfium_path" >> "$GITHUB_ENV"
- name: Install ONNX Runtime
shell: bash
run: |
archive="$RUNNER_TEMP/onnxruntime-linux-x64-1.27.0.tgz"
directory="$RUNNER_TEMP/onnxruntime"
curl --fail --location --silent --show-error \
https://github.com/microsoft/onnxruntime/releases/download/v1.27.0/onnxruntime-linux-x64-1.27.0.tgz \
--output "$archive"
echo "547e40a48f1fe73e3f812d7c88a948612c23f896b91e4e2ee1e232d7b468246f $archive" | sha256sum --check
mkdir -p "$directory"
tar -xzf "$archive" -C "$directory"
ort_path="$(find "$directory" -type f -name 'libonnxruntime.so*' -print -quit)"
test -n "$ort_path"
echo "ORT_DYLIB_PATH=$ort_path" >> "$GITHUB_ENV"
- name: Configure isolated model cache
shell: bash
run: echo "PDF_INSPECTOR_MODEL_CACHE=$RUNNER_TEMP/pdf-inspector-models" >> "$GITHUB_ENV"
- name: Build OCR CLI
run: cargo build --features ocr --bin pdf2md
- name: Test PDFium runtime
run: cargo test --features ocr --test local_render_tests
- name: Provision OCR model cache
shell: bash
run: |
target/debug/pdf2md \
tests/fixtures/scan_with_native_header_text.pdf \
--ocr force \
--json > /dev/null
- name: Run OCR CLI
shell: bash
run: |
target/debug/pdf2md \
tests/fixtures/scan_with_native_header_text.pdf \
--ocr auto \
--ocr-offline \
--json > "$RUNNER_TEMP/ocr-result.json"
- name: Validate OCR JSON contract
shell: bash
run: |
python3 - <<'PY'
import json
import os
from pathlib import Path
result = json.loads(
(Path(os.environ["RUNNER_TEMP"]) / "ocr-result.json").read_text()
)
assert result["schema_version"] == 1
assert result["pages_routed_to_ocr"] == [1]
assert result["pages_recommending_hosted"] == []
assert result["pages"][0]["source"] in {"ocr", "fused"}
assert result["pages"][0]["markdown"].strip()
assert "layout_ms" not in result["pages"][0]["timings"]
PY
- name: Run OCR launch smoke set
shell: bash
run: |
export PDF_INSPECTOR_OCR_TEST_MODELS="$PDF_INSPECTOR_MODEL_CACHE/pp-ocrv6-small/oar-ocr-v0.7.0"
cargo test --features ocr --test ocr_tests -- --nocapture
- name: Build Node binding
working-directory: napi
run: |
bun install --frozen-lockfile
bunx napi build --platform --release
- name: Run Node OCR binding
shell: bash
run: |
node --input-type=module - <<'JS'
import { readFileSync } from 'node:fs'
import { processPdfWithOcr } from './napi/index.js'
const pdf = readFileSync('tests/fixtures/scan_with_native_header_text.pdf')
const result = await processPdfWithOcr(pdf, { offline: true })
if (JSON.stringify(result.pagesRoutedToOcr) !== '[1]') throw new Error('unexpected OCR route')
if (result.pagesRecommendingHosted.length !== 0) throw new Error('unexpected hosted recommendation')
if (!['Ocr', 'Fused'].includes(result.pages[0].provenance.source)) throw new Error('unexpected source')
if (!result.pages[0].markdown.trim()) throw new Error('empty OCR markdown')
JS
- name: Build and install Python binding
shell: bash
run: |
python -m pip install 'maturin>=1,<2'
maturin build --release --out "$RUNNER_TEMP/python-wheels"
python -m pip install "$RUNNER_TEMP"/python-wheels/*.whl
- name: Run Python OCR binding
shell: bash
run: |
python - <<'PY'
import pdf_inspector
result = pdf_inspector.process_pdf_with_ocr(
"tests/fixtures/scan_with_native_header_text.pdf",
offline=True,
)
assert result.pages_routed_to_ocr == [1]
assert result.pages_recommending_hosted == []
assert result.pages[0].provenance.source in {"ocr", "fused"}
assert result.pages[0].markdown.strip()
PY
wasm:
name: WebAssembly
runs-on: ubuntu-latest
-5
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@@ -86,14 +86,12 @@ jobs:
name: Build ${{ matrix.target }}
runs-on: ${{ matrix.os }}
strategy:
fail-fast: false
matrix:
include:
- os: ubuntu-latest
target: x86_64-unknown-linux-gnu
- os: ubuntu-latest
target: aarch64-unknown-linux-gnu
docker-options: -e CFLAGS_aarch64_unknown_linux_gnu=-D__ARM_ARCH=8
# macos-13 was retired by GitHub; macos-15-intel is the remaining
# Intel runner label (available through 2027).
- os: macos-15-intel
@@ -115,9 +113,6 @@ jobs:
target: ${{ matrix.target }}
args: --release --out dist
manylinux: auto
# The manylinux AArch64 GCC omits this macro while preprocessing
# ring's assembly. AArch64 is ARMv8 by definition.
docker-options: ${{ matrix.docker-options }}
- name: Upload wheel
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7.0.1
-6
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@@ -60,7 +60,6 @@ jobs:
name: Build ${{ matrix.target }}
runs-on: ${{ matrix.os }}
strategy:
fail-fast: false
matrix:
include:
- os: ubuntu-latest
@@ -71,7 +70,6 @@ jobs:
- os: ubuntu-latest
target: aarch64-unknown-linux-gnu
build-flags: --use-napi-cross
cflags: -D__ARM_ARCH=8
- os: ubuntu-latest
target: x86_64-unknown-linux-musl
build-flags: -x
@@ -128,10 +126,6 @@ jobs:
- name: Build native addon
working-directory: napi
env:
# napi-cross's old AArch64 GCC omits this predefined macro while
# preprocessing ring's assembly. AArch64 is ARMv8 by definition.
CFLAGS_aarch64_unknown_linux_gnu: ${{ matrix.cflags }}
run: bunx napi build --platform --release --target ${{ matrix.target }} ${{ matrix.build-flags }}
- name: Upload native binary
+2 -2
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@@ -1,6 +1,6 @@
[package]
name = "pdf-inspector"
version = "1.15.0"
version = "1.14.2"
edition = "2021"
autobins = false
authors = ["Firecrawl Team"]
@@ -80,7 +80,7 @@ tempfile = "3.3"
[features]
default = []
python = ["pyo3", "ocr"]
python = ["pyo3"]
vision = []
model-cache = ["vision", "dep:dirs", "dep:fs2", "dep:sha2", "dep:windows-sys"]
model-download = ["model-cache", "dep:ureq"]
+9 -20
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@@ -18,10 +18,10 @@ Built by [Firecrawl](https://firecrawl.dev) to handle text-based PDFs locally in
- **CID font support** — ToUnicode CMap decoding for Type0/Identity-H fonts, UTF-16BE, UTF-8, and Latin-1 encodings.
- **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.
- **Selective OCR** — Rust, CLI, Python, and Node can render only pages that need OCR, run PP-OCRv6 Small locally, and preserve per-page provenance and hosted-fallback recommendations.
- **Optional OCR** — An opt-in Rust and CLI feature selectively renders only pages that need OCR, runs PP-OCRv6 Small locally, and preserves per-page provenance and hosted-fallback recommendations.
- **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 by default** — The default Rust and browser builds remain pure extraction. Native Python and Node packages include the OCR integration, but PDFium, ONNX Runtime, and model files remain external and are touched only when a page is routed to OCR.
- **Lightweight by default** — The default build is pure Rust with no ML models or external services. PDFium, ONNX Runtime, and OCR models are added only when the native `ocr` feature is selected and remain external runtime artifacts.
## Benchmark
@@ -48,7 +48,8 @@ Use the [paired benchmark harness](docs/benchmarking.md) to compare two local bu
### Python
```bash
pip install pdf-inspector
pip install maturin
maturin develop --release
```
```python
@@ -57,10 +58,6 @@ import pdf_inspector
result = pdf_inspector.process_pdf("document.pdf")
print(result.pdf_type) # "text_based", "scanned", "image_based", "mixed"
print(result.markdown) # Markdown string or None
# Selective OCR; clean text PDFs do not load the external OCR runtime.
ocr = pdf_inspector.process_pdf_with_ocr("document.pdf")
print(ocr.pages_routed_to_ocr)
```
> Full API reference: [docs/python.md](docs/python.md)
@@ -73,15 +70,11 @@ npm install @firecrawl/pdf-inspector
```javascript
import { readFileSync } from 'fs';
import { processPdf, processPdfWithOcr } from '@firecrawl/pdf-inspector';
import { processPdf, classifyPdf } from '@firecrawl/pdf-inspector';
const pdf = readFileSync('document.pdf');
const result = processPdf(pdf);
const result = processPdf(readFileSync('document.pdf'));
console.log(result.pdfType); // "TextBased", "Scanned", "ImageBased", "Mixed"
console.log(result.markdown); // Markdown string or null
const ocr = await processPdfWithOcr(pdf); // selective OCR, off the event loop
console.log(ocr.pagesRoutedToOcr);
```
> Full API reference: [napi/README.md](napi/README.md)
@@ -168,7 +161,7 @@ detect-pdf document.pdf --json
detect-pdf document.pdf --analyze --json
```
Rust and CLI consumers opt into OCR at build time:
OCR is a separate native CLI build and does not change the default package:
```bash
cargo install pdf-inspector --features ocr --bin pdf2md
@@ -178,12 +171,8 @@ PDFIUM_LIB_PATH=/path/to/libpdfium ORT_DYLIB_PATH=/path/to/libonnxruntime \
The OCR JSON envelope is versioned and reports routed pages, per-page source
and confidence, warnings, and pages recommended for the hosted document
pipeline. Native Python and Node packages expose the same pipeline without a
source-build feature. All native entry points still require separately
installed PDFium and ONNX Runtime libraries only when OCR is routed. See the
[OCR runtime setup guide](docs/ocr-runtime.md) for pinned downloads, platform
support, model-cache behavior, and hosted-fallback integration. See the
[Rust API guide](docs/rust-api.md#complete-ocr-api) for lower-level controls.
pipeline. See the [Rust API guide](docs/rust-api.md#complete-ocr-api) for model
cache and offline configuration.
From a source checkout, use `cargo run --bin pdf2md -- document.pdf` or `cargo run --bin detect-pdf -- document.pdf` instead.
-97
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@@ -1,97 +0,0 @@
# OCR runtime setup
Selective OCR is available from the Rust library and CLI, Python, and Node.js.
Clean native-text documents do not load an OCR dependency or download a model.
When `auto` routes at least one page, the process needs PDFium, ONNX Runtime,
and the pinned PP-OCRv6 Small model set.
## Validated versions
The reproducible runtime path uses these builds:
- [Firecrawl PDFium `native-v7988`](https://github.com/firecrawl/pdfium-rs/releases/tag/native-v7988),
containing PDFium `153.0.7988.0`
- [ONNX Runtime `1.27.0`](https://github.com/microsoft/onnxruntime/releases/tag/v1.27.0)
- PP-OCRv6 Small artifact revision `oar-ocr-v0.7.0`
Use these versions for the reproducible path. Other compatible shared-library
builds may work, but are not part of the release smoke test.
## Install the shared libraries
Download and extract the matching archives:
| Platform | PDFium asset | ONNX Runtime asset |
|---|---|---|
| Linux x64 | `firecrawl-pdfium-linux-x64.tgz` | `onnxruntime-linux-x64-1.27.0.tgz` |
| Linux ARM64 | `firecrawl-pdfium-linux-arm64.tgz` | `onnxruntime-linux-aarch64-1.27.0.tgz` |
| macOS Apple Silicon | `firecrawl-pdfium-mac-arm64.tgz` | `onnxruntime-osx-arm64-1.27.0.tgz` |
| Windows x64 | `firecrawl-pdfium-win-x64.tgz` | `onnxruntime-win-x64-1.27.0.zip` |
The PDFium release publishes `SHA256SUMS`, build provenance, license files,
and an SPDX document for every platform archive. GitHub publishes a SHA-256
digest with each ONNX Runtime asset.
Point pdf-inspector at the extracted shared libraries when they are not on the
platform library search path:
```bash
export PDFIUM_LIB_PATH=/absolute/path/to/libpdfium.so
export ORT_DYLIB_PATH=/absolute/path/to/libonnxruntime.so
pdf2md scan.pdf --ocr auto --json
```
On macOS the filenames end in `.dylib`. On Windows, use PowerShell and point
the variables at `pdfium.dll` and `onnxruntime.dll`:
```powershell
$env:PDFIUM_LIB_PATH = "C:\absolute\path\to\pdfium.dll"
$env:ORT_DYLIB_PATH = "C:\absolute\path\to\onnxruntime.dll"
pdf2md scan.pdf --ocr auto --json
```
The native extraction packages also support platforms without these exact
runtime assets. In particular, the Python package has an Intel macOS wheel,
but ONNX Runtime 1.27.0 does not publish an Intel macOS archive; local OCR on
that target requires a compatible custom ONNX Runtime build.
The full OCR path is exercised end to end on Linux x64 in CI. macOS and
Windows compile and run the feature's platform-independent tests, while their
external-runtime paths should be treated as preview until equivalent smoke
jobs are added.
## Model cache and offline mode
The first routed page downloads and SHA-256-verifies three pinned artifacts:
the detection model, recognition model, and character dictionary. Together
they are about 31 MB. They are stored below the platform cache directory.
Set `PDF_INSPECTOR_MODEL_CACHE` to choose a managed cache root.
For hermetic deployments, populate the model directory ahead of time and use
the language-specific offline option:
- CLI: `--ocr-offline --ocr-model-dir /models/pp-ocrv6-small`
- Rust: `ModelDownloadPolicy::Offline` with `OcrOptions::model_directory`
- Python: `offline=True, model_directory="/models/pp-ocrv6-small"`
- Node.js: `offline: true, modelDirectory: "/models/pp-ocrv6-small"`
The model artifacts come from
[`GreatV/oar-ocr`](https://github.com/GreatV/oar-ocr/releases/tag/v0.7.0),
whose OCR implementation and upstream PaddleOCR project use Apache-2.0
licensing. Models are downloaded at runtime and are not embedded in any
pdf-inspector package.
## Hosted fallback boundary
`pages_recommending_hosted` is available after the local pipeline completes.
It marks pages whose completed OCR result is empty, low-confidence, or still
appears incomplete.
Setup and execution failures happen before that result exists. A missing or
incompatible PDFium/ONNX Runtime library, failed model acquisition, or OCR
execution error is returned as an error. A downstream integration that has a
hosted parser should catch that error and route the document to the hosted
path. This keeps deployment problems distinct from page-quality judgments.
In `auto`, documents with no routed pages return successfully without touching
PDFium, ONNX Runtime, the model cache, or the network.
+2 -65
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@@ -1,6 +1,6 @@
# pdf-inspector
Fast PDF classification, text extraction, and selective OCR. Detects whether a PDF is text-based or scanned, extracts text with position awareness, and converts clean native and OCR results to Markdown. Python bindings via [PyO3](https://pyo3.rs) for the [pdf-inspector](https://github.com/firecrawl/pdf-inspector) Rust library.
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.
@@ -10,8 +10,7 @@ Built by [Firecrawl](https://firecrawl.dev) to handle text-based PDFs locally in
- **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.
- **Selective OCR** — `auto` routes only pages rejected by native extraction; `force` OCRs every selected page; `off` keeps the result/provenance contract without external runtime work.
- **External artifacts** — the wheel embeds no OCR models, PDFium, or ONNX Runtime; clean `auto` requests never load or download them.
- **Lightweight** — native Rust core, no ML models, no external services; ships type stubs.
## Benchmark
@@ -40,14 +39,6 @@ pip install maturin
maturin develop --release
```
OCR calls that route work require compatible PDFium and ONNX Runtime shared
libraries. Set `PDFIUM_LIB_PATH` and `ORT_DYLIB_PATH` when they are not on the
platform library search path. The pinned OCR model set is downloaded and
checksum-verified on the first routed page; use `offline=True` with a warm
cache or `model_directory` to prohibit network access. See the
[OCR runtime setup guide](https://github.com/firecrawl/pdf-inspector/blob/main/docs/ocr-runtime.md)
for pinned downloads, supported platforms, and hosted-fallback behavior.
## Usage
```python
@@ -90,19 +81,6 @@ for page in result.pages:
# Restrict to specific 0-indexed pages (preserves caller order)
result = pdf_inspector.extract_pages_markdown("document.pdf", pages=[0, 2])
# One-call selective OCR. This releases the GIL while processing.
ocr = pdf_inspector.process_pdf_with_ocr("document.pdf")
for page in ocr.pages:
print(page.page_number, page.provenance.source)
# Restrict OCR processing to 1-indexed PDF pages and prohibit downloads.
ocr = pdf_inspector.process_pdf_with_ocr(
"document.pdf",
page_numbers=[1, 3],
model_directory="/opt/models/pp-ocrv6-small",
offline=True,
)
# Structure-tree elements from tagged PDFs (empty list when untagged).
# Pages are 1-indexed to match TextItem.page, so (page, mcid) joins directly
# against extract_text_with_positions — e.g. to recover real heading levels:
@@ -121,8 +99,6 @@ headings = [
|---|---|
| `process_pdf(path, pages=None)` | Full processing (detect + extract + markdown) |
| `process_pdf_bytes(data, pages=None)` | Full processing from bytes |
| `process_pdf_with_ocr(path, **options)` | Native extraction + selective OCR with provenance |
| `process_pdf_with_ocr_bytes(data, **options)` | Native extraction + selective OCR from bytes |
| `detect_pdf(path)` | Fast detection only (returns PdfResult) |
| `detect_pdf_bytes(data)` | Fast detection from bytes |
| `classify_pdf(path)` | Lightweight classification (returns PdfClassification) |
@@ -161,45 +137,6 @@ class PageOcrReasons: # per-page OCR diagnostics
page: int # 1-indexed
reasons: list[str] # machine-readable reason identifiers
class OcrModelIdentity:
name: str # model family/name
revision: str # immutable artifact-set revision
class OcrTimings: # per-page processing stages
render_ms: int
ocr_ms: int
assembly_ms: int
class OcrPageProvenance:
page_number: int # 1-indexed
source: Literal["native", "ocr", "fused"]
ocr_model: OcrModelIdentity | None
render_dpi: float | None
ocr_confidence: float | None
timings: OcrTimings
warnings: list[str]
hosted_recommended: bool
class OcrPageResult:
page_number: int # 1-indexed
markdown: str
provenance: OcrPageProvenance
class OcrPdfResult: # process_pdf_with_ocr / bytes
markdown: str
pages: list[OcrPageResult]
page_count: int
pages_recommended_for_ocr: list[int]
pages_routed_to_ocr: list[int]
pages_recommending_hosted: list[int]
ocr_reasons_by_page: list[PageOcrReasons]
pages_with_tables: list[int]
pages_with_columns: list[int]
is_complex: bool
processing_time_ms: int
render_time_ms: int
ocr_time_ms: int
class PdfClassification: # classify_pdf
pdf_type: str
page_count: int
-4
View File
@@ -383,10 +383,6 @@ shape; `Force` renders every selected page. OCR uses the existing deterministic
table, column, reading-order, and Markdown assembly path; no learned layout
model is included.
The [OCR runtime setup guide](https://github.com/firecrawl/pdf-inspector/blob/main/docs/ocr-runtime.md)
lists the pinned PDFium and ONNX Runtime builds, environment variables, model
cache behavior, and the error boundary downstream hosted fallbacks should use.
For ambiguous mixed pages, `Auto` privately retains clean native fragments
instead of discarding them when OCR is selected. After recognition it compares
script-agnostic text quality, OCR confidence, character overlap, and material
+32 -2255
View File
File diff suppressed because it is too large Load Diff
+2 -2
View File
@@ -1,13 +1,13 @@
[package]
name = "pdf-inspector-napi"
version = "1.15.0"
version = "1.14.2"
edition = "2021"
[lib]
crate-type = ["cdylib"]
[dependencies]
pdf-inspector = { path = "..", features = ["ocr"] }
pdf-inspector = { path = ".." }
napi = { version = "3.0.0", features = ["serde-json"] }
napi-derive = "3.0.0"
+1 -52
View File
@@ -10,8 +10,7 @@ Built by [Firecrawl](https://firecrawl.dev) for hybrid OCR pipelines — extract
- **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.
- **Selective OCR** — `Auto` routes only pages rejected by native extraction and returns source/model provenance plus hosted-fallback recommendations.
- **External artifacts** — the native package embeds no OCR models, PDFium, or ONNX Runtime; clean `Auto` requests never load or download them.
- **Lightweight** — native Rust core via napi-rs, no ML models, no external services; ~56 MB platform binary, TypeScript definitions included.
## Benchmark
@@ -37,42 +36,8 @@ bun add @firecrawl/pdf-inspector
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.
OCR calls that route work require compatible PDFium and ONNX Runtime shared
libraries. Set `PDFIUM_LIB_PATH` and `ORT_DYLIB_PATH` when they are not on the
platform library search path. The pinned OCR model set is downloaded and
checksum-verified on the first routed page; use `offline: true` with a warm
cache or `modelDirectory` to prohibit network access. See the
[OCR runtime setup guide](https://github.com/firecrawl/pdf-inspector/blob/main/docs/ocr-runtime.md)
for pinned downloads, supported platforms, and hosted-fallback behavior.
## API
### `processPdfWithOcr(buffer: Buffer, options?: OcrOptions): Promise<OcrPdfResult>`
Run native extraction first and OCR only the pages selected by its quality
signals. The default mode is `Auto`; `Off` returns the same detailed result
shape without external runtime work, and `Force` OCRs every selected page.
The work runs on the libuv thread pool and never blocks Node's event loop.
```typescript
import { OcrMode, processPdfWithOcr } from '@firecrawl/pdf-inspector'
const result = await processPdfWithOcr(pdf, {
mode: OcrMode.Auto,
pageNumbers: [1, 3], // 1-indexed
})
for (const page of result.pages) {
console.log(page.pageNumber, page.provenance.source)
}
console.log(result.pagesRoutedToOcr)
console.log(result.pagesRecommendingHosted)
```
For offline deployments, pass `modelDirectory` and `offline: true`. Other
controls include `dpi`, `minimumConfidence`,
`hostedRecommendationConfidence`, and `password`.
### `classifyPdf(buffer: Buffer): PdfClassification`
Classify a PDF as TextBased, Scanned, Mixed, or ImageBased (~10-50ms). Returns which pages need OCR.
@@ -159,22 +124,6 @@ interface RegionText {
needsOcr: boolean // true when text is unreliable
ocrReason?: string // "suspected_garbled_text" when known
}
interface OcrPdfResult {
markdown: string
pages: OcrPageResult[] // 1-indexed pages + provenance
pageCount: number
pagesRecommendedForOcr: number[]
pagesRoutedToOcr: number[]
pagesRecommendingHosted: number[]
ocrReasonsByPage: PageOcrReasons[]
pagesWithTables: number[]
pagesWithColumns: number[]
isComplex: boolean
processingTimeMs: number
renderTimeMs: number
ocrTimeMs: number
}
```
## Platforms
+6 -6
View File
@@ -8,12 +8,12 @@
"@napi-rs/cli": "^3.4.1",
},
"optionalDependencies": {
"@firecrawl/pdf-inspector-darwin-arm64": "1.15.0",
"@firecrawl/pdf-inspector-linux-arm64-gnu": "1.15.0",
"@firecrawl/pdf-inspector-linux-arm64-musl": "1.15.0",
"@firecrawl/pdf-inspector-linux-x64-gnu": "1.15.0",
"@firecrawl/pdf-inspector-linux-x64-musl": "1.15.0",
"@firecrawl/pdf-inspector-win32-x64-msvc": "1.15.0",
"@firecrawl/pdf-inspector-darwin-arm64": "1.14.2",
"@firecrawl/pdf-inspector-linux-arm64-gnu": "1.14.2",
"@firecrawl/pdf-inspector-linux-arm64-musl": "1.14.2",
"@firecrawl/pdf-inspector-linux-x64-gnu": "1.14.2",
"@firecrawl/pdf-inspector-linux-x64-musl": "1.14.2",
"@firecrawl/pdf-inspector-win32-x64-msvc": "1.14.2",
},
},
},
+7 -7
View File
@@ -1,6 +1,6 @@
{
"name": "@firecrawl/pdf-inspector",
"version": "1.15.0",
"version": "1.14.2",
"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",
@@ -52,11 +52,11 @@
"@napi-rs/cli": "^3.4.1"
},
"optionalDependencies": {
"@firecrawl/pdf-inspector-linux-x64-gnu": "1.15.0",
"@firecrawl/pdf-inspector-linux-x64-musl": "1.15.0",
"@firecrawl/pdf-inspector-linux-arm64-gnu": "1.15.0",
"@firecrawl/pdf-inspector-linux-arm64-musl": "1.15.0",
"@firecrawl/pdf-inspector-darwin-arm64": "1.15.0",
"@firecrawl/pdf-inspector-win32-x64-msvc": "1.15.0"
"@firecrawl/pdf-inspector-linux-x64-gnu": "1.14.2",
"@firecrawl/pdf-inspector-linux-x64-musl": "1.14.2",
"@firecrawl/pdf-inspector-linux-arm64-gnu": "1.14.2",
"@firecrawl/pdf-inspector-linux-arm64-musl": "1.14.2",
"@firecrawl/pdf-inspector-darwin-arm64": "1.14.2",
"@firecrawl/pdf-inspector-win32-x64-msvc": "1.14.2"
}
}
-241
View File
@@ -27,26 +27,6 @@ pub enum ItemType {
FormField,
}
/// Selects when OCR runs.
#[napi(string_enum)]
#[derive(Clone, Copy)]
pub enum OcrMode {
/// Never run OCR; return the native extraction in the OCR result shape.
Off,
/// Run OCR only on pages selected by the native quality signals.
Auto,
/// Run OCR on every selected page.
Force,
}
/// How final page content was sourced.
#[napi(string_enum)]
pub enum PageContentSource {
Native,
Ocr,
Fused,
}
// ---------------------------------------------------------------------------
// Result types
// ---------------------------------------------------------------------------
@@ -148,84 +128,6 @@ pub struct VectorGridDetectionJs {
pub cell_bboxes: Vec<Vec<f64>>,
}
/// Options for one-call native extraction with selective OCR.
#[napi(object)]
#[derive(Clone)]
pub struct OcrOptions {
/// OCR routing behavior. Defaults to Auto.
pub mode: Option<OcrMode>,
/// Optional 1-indexed page selection.
pub page_numbers: Option<Vec<u32>>,
/// Password for an encrypted PDF.
pub password: Option<String>,
/// Page rasterization resolution. Defaults to 150 DPI.
pub dpi: Option<f64>,
/// Drop OCR spans below this inclusive 0-1 threshold.
pub minimum_confidence: Option<f64>,
/// Recommend hosted parsing below this inclusive 0-1 page confidence.
pub hosted_recommendation_confidence: Option<f64>,
/// Directory containing an offline OCR model set.
pub model_directory: Option<String>,
/// Disable model downloads and require a model directory or warm cache.
pub offline: Option<bool>,
}
/// Exact OCR model identity retained in page provenance.
#[napi(object)]
pub struct OcrModelIdentity {
pub name: String,
pub revision: String,
}
/// Per-page OCR processing timings.
#[napi(object)]
pub struct OcrTimings {
pub render_ms: u32,
pub ocr_ms: u32,
pub assembly_ms: u32,
}
/// Source, model, confidence, and fallback metadata for one page.
#[napi(object)]
pub struct OcrPageProvenance {
/// 1-indexed page number.
pub page_number: u32,
pub source: PageContentSource,
pub ocr_model: Option<OcrModelIdentity>,
pub render_dpi: Option<f64>,
pub ocr_confidence: Option<f64>,
pub timings: OcrTimings,
pub warnings: Vec<String>,
pub hosted_recommended: bool,
}
/// Final Markdown and provenance for one page.
#[napi(object)]
pub struct OcrPageResult {
/// 1-indexed page number.
pub page_number: u32,
pub markdown: String,
pub provenance: OcrPageProvenance,
}
/// Complete native/OCR Markdown output.
#[napi(object)]
pub struct OcrPdfResult {
pub markdown: String,
pub pages: Vec<OcrPageResult>,
pub page_count: u32,
pub pages_recommended_for_ocr: Vec<u32>,
pub pages_routed_to_ocr: Vec<u32>,
pub pages_recommending_hosted: Vec<u32>,
pub ocr_reasons_by_page: Vec<PageOcrReasons>,
pub pages_with_tables: Vec<u32>,
pub pages_with_columns: Vec<u32>,
pub is_complex: bool,
pub processing_time_ms: u32,
pub render_time_ms: u32,
pub ocr_time_ms: u32,
}
// ---------------------------------------------------------------------------
// Helpers
// ---------------------------------------------------------------------------
@@ -266,103 +168,6 @@ fn to_napi_page_ocr_reasons(reasons: Vec<pdf_inspector::PageOcrReasons>) -> Vec<
.collect()
}
fn to_core_ocr_options(options: Option<OcrOptions>) -> pdf_inspector::vision::OcrPdfOptions {
let mut result = pdf_inspector::vision::OcrPdfOptions::auto();
let Some(options) = options else {
return result;
};
if let Some(mode) = options.mode {
result.ocr.mode = match mode {
OcrMode::Off => pdf_inspector::vision::OcrMode::Off,
OcrMode::Auto => pdf_inspector::vision::OcrMode::Auto,
OcrMode::Force => pdf_inspector::vision::OcrMode::Force,
};
}
if let Some(pages) = options.page_numbers {
result = result.page_numbers(pages);
}
if let Some(password) = options.password {
result = result.password(password);
}
if let Some(dpi) = options.dpi {
result.render.dpi = dpi as f32;
}
if let Some(minimum_confidence) = options.minimum_confidence {
result.ocr.minimum_confidence = minimum_confidence as f32;
}
if let Some(confidence) = options.hosted_recommendation_confidence {
result.hosted_recommendation_confidence = confidence as f32;
}
if let Some(directory) = options.model_directory {
result.ocr.model_directory = Some(directory.into());
}
if options.offline.unwrap_or(false) {
result.ocr.model_downloads = pdf_inspector::vision::ModelDownloadPolicy::Offline;
}
result
}
fn convert_page_content_source(
source: pdf_inspector::vision::PageContentSource,
) -> PageContentSource {
match source {
pdf_inspector::vision::PageContentSource::Native => PageContentSource::Native,
pdf_inspector::vision::PageContentSource::Ocr => PageContentSource::Ocr,
pdf_inspector::vision::PageContentSource::Fused => PageContentSource::Fused,
_ => PageContentSource::Native,
}
}
fn timing_ms(value: u64) -> u32 {
u32::try_from(value).unwrap_or(u32::MAX)
}
fn to_napi_ocr_result(result: pdf_inspector::vision::OcrPdfResult) -> OcrPdfResult {
OcrPdfResult {
markdown: result.markdown,
pages: result
.pages
.into_iter()
.map(|page| {
let provenance = page.provenance;
OcrPageResult {
page_number: page.page_number,
markdown: page.markdown,
provenance: OcrPageProvenance {
page_number: provenance.page_number,
source: convert_page_content_source(provenance.source),
ocr_model: provenance.ocr_model.map(|model| OcrModelIdentity {
name: model.name,
revision: model.revision,
}),
render_dpi: provenance.render_dpi.map(f64::from),
ocr_confidence: provenance.ocr_confidence.map(f64::from),
timings: OcrTimings {
render_ms: timing_ms(provenance.timings.render_ms),
ocr_ms: timing_ms(provenance.timings.ocr_ms),
assembly_ms: timing_ms(provenance.timings.assembly_ms),
},
warnings: provenance.warnings,
hosted_recommended: provenance.hosted_recommended,
},
}
})
.collect(),
page_count: result.page_count,
pages_recommended_for_ocr: result.pages_recommended_for_ocr,
pages_routed_to_ocr: result.pages_routed_to_ocr,
pages_recommending_hosted: result.pages_recommending_hosted,
ocr_reasons_by_page: to_napi_page_ocr_reasons(result.ocr_reasons_by_page),
pages_with_tables: result.pages_with_tables,
pages_with_columns: result.pages_with_columns,
is_complex: result.is_complex,
processing_time_ms: timing_ms(result.processing_time_ms),
render_time_ms: timing_ms(result.render_time_ms),
ocr_time_ms: timing_ms(result.ocr_time_ms),
}
}
fn convert_item_type(t: &pdf_inspector::types::ItemType) -> (ItemType, Option<String>) {
match t {
pdf_inspector::types::ItemType::Text => (ItemType::Text, None),
@@ -414,13 +219,6 @@ fn process_pdf_impl(bytes: &[u8], pages: Option<Vec<u32>>) -> Result<PdfResult>
Ok(to_napi_result(result))
}
fn process_pdf_with_ocr_impl(bytes: &[u8], options: Option<OcrOptions>) -> Result<OcrPdfResult> {
let options = to_core_ocr_options(options);
let result = pdf_inspector::vision::process_pdf_with_ocr_mem(bytes, options)
.map_err(|error| to_napi_err(error, "process_pdf_with_ocr"))?;
Ok(to_napi_ocr_result(result))
}
fn classify_pdf_impl(bytes: &[u8]) -> Result<PdfClassification> {
let result =
pdf_inspector::classify_pdf_mem(bytes).map_err(|e| to_napi_err(e, "classify_pdf"))?;
@@ -1020,45 +818,6 @@ pub fn process_pdf_async(buffer: Buffer, pages: Option<Vec<u32>>) -> AsyncTask<P
})
}
pub struct ProcessPdfWithOcrTask {
bytes: Vec<u8>,
options: Option<OcrOptions>,
}
impl Task for ProcessPdfWithOcrTask {
type Output = OcrPdfResult;
type JsValue = OcrPdfResult;
fn compute(&mut self) -> Result<Self::Output> {
let bytes = std::mem::take(&mut self.bytes);
let options = self.options.take();
catch_panic(
"process_pdf_with_ocr",
panic::AssertUnwindSafe(move || process_pdf_with_ocr_impl(&bytes, options)),
)
}
fn resolve(&mut self, _env: Env, output: Self::Output) -> Result<Self::JsValue> {
Ok(output)
}
}
/// Process a PDF with selective OCR on the libuv thread pool.
///
/// OCR defaults to Auto, which only loads PDFium, ONNX Runtime, and the OCR
/// model if native extraction routes at least one page. The input buffer is
/// copied before the promise is returned and is safe to reuse immediately.
#[napi(ts_return_type = "Promise<OcrPdfResult>")]
pub fn process_pdf_with_ocr(
buffer: Buffer,
options: Option<OcrOptions>,
) -> AsyncTask<ProcessPdfWithOcrTask> {
AsyncTask::new(ProcessPdfWithOcrTask {
bytes: buffer.to_vec(),
options,
})
}
pub struct ClassifyPdfTask {
bytes: Vec<u8>,
}
-32
View File
@@ -3,7 +3,6 @@ import { strict as assert } from 'assert';
import {
processPdf,
processPdfAsync,
processPdfWithOcr,
detectPdf,
classifyPdf,
classifyPdfAsync,
@@ -221,37 +220,6 @@ const fromMutated = await inFlight;
assert.equal(fromMutated.markdown, result.markdown);
console.log(' processPdfAsync input copied at call time: OK');
// --- Selective OCR ---
console.log('Testing processPdfWithOcr...');
// Off exercises the complete result/provenance contract without loading
// external PDFium, ONNX Runtime, or model artifacts.
const ocrOff = await processPdfWithOcr(fixture, { mode: 'Off' });
assert.equal(ocrOff.pageCount, 3);
assert.equal(ocrOff.pages.length, 3);
assert.deepEqual(ocrOff.pagesRoutedToOcr, []);
assert.ok(ocrOff.pages.every(page => page.provenance.source === 'Native'));
assert.ok(ocrOff.pages.every(page => page.provenance.ocrModel === undefined));
assert.ok(ocrOff.markdown.length > 0);
// Auto must preserve the lightweight path for clean text PDFs.
const ocrAuto = await processPdfWithOcr(fixture);
assert.deepEqual(ocrAuto.pagesRoutedToOcr, []);
assert.equal(ocrAuto.renderTimeMs, 0);
assert.equal(ocrAuto.ocrTimeMs, 0);
const ocrSelected = await processPdfWithOcr(fixture, {
mode: 'Off',
pageNumbers: [2],
});
assert.deepEqual(ocrSelected.pages.map(page => page.pageNumber), [2]);
await assert.rejects(
processPdfWithOcr(fixture, { mode: 'Off', pageNumbers: [0] }),
/page 0/,
);
console.log(' processPdfWithOcr: OK');
// concurrent async calls all settle
const [c1, c2, c3] = await Promise.all([
processPdfAsync(fixture),
+1 -81
View File
@@ -1,6 +1,6 @@
"""Type stubs for pdf_inspector."""
from typing import Literal, Optional
from typing import Optional
class PdfResult:
"""Result of processing a PDF file."""
@@ -27,53 +27,6 @@ class PageOcrReasons:
reasons: list[str]
"""Machine-readable OCR reason identifiers."""
class OcrModelIdentity:
"""Exact OCR model identity retained in page provenance."""
name: str
revision: str
class OcrTimings:
"""Per-page OCR processing timings."""
render_ms: int
ocr_ms: int
assembly_ms: int
class OcrPageProvenance:
"""Source, model, confidence, and fallback metadata for one page."""
page_number: int
"""1-indexed page number."""
source: Literal["native", "ocr", "fused"]
"""'native', 'ocr', or 'fused'."""
ocr_model: Optional[OcrModelIdentity]
render_dpi: Optional[float]
ocr_confidence: Optional[float]
timings: OcrTimings
warnings: list[str]
hosted_recommended: bool
class OcrPageResult:
"""Final Markdown and provenance for one page."""
page_number: int
"""1-indexed page number."""
markdown: str
provenance: OcrPageProvenance
class OcrPdfResult:
"""Complete native/OCR Markdown output."""
markdown: str
pages: list[OcrPageResult]
page_count: int
pages_recommended_for_ocr: list[int]
pages_routed_to_ocr: list[int]
pages_recommending_hosted: list[int]
ocr_reasons_by_page: list[PageOcrReasons]
pages_with_tables: list[int]
pages_with_columns: list[int]
is_complex: bool
processing_time_ms: int
render_time_ms: int
ocr_time_ms: int
class PdfClassification:
"""Lightweight PDF classification result."""
pdf_type: str
@@ -161,39 +114,6 @@ def process_pdf_bytes(data: bytes, pages: Optional[list[int]] = None) -> PdfResu
"""Process a PDF from bytes in memory."""
...
def process_pdf_with_ocr(
path: str,
*,
mode: Literal["off", "auto", "force"] = "auto",
page_numbers: Optional[list[int]] = None,
password: Optional[str] = None,
dpi: float = 150.0,
minimum_confidence: float = 0.0,
hosted_recommendation_confidence: float = 0.5,
model_directory: Optional[str] = None,
offline: bool = False,
) -> OcrPdfResult:
"""Process a PDF through native extraction and selective OCR.
Page numbers are 1-indexed. OCR runs without holding the Python GIL.
"""
...
def process_pdf_with_ocr_bytes(
data: bytes,
*,
mode: Literal["off", "auto", "force"] = "auto",
page_numbers: Optional[list[int]] = None,
password: Optional[str] = None,
dpi: float = 150.0,
minimum_confidence: float = 0.0,
hosted_recommendation_confidence: float = 0.5,
model_directory: Optional[str] = None,
offline: bool = False,
) -> OcrPdfResult:
"""Process PDF bytes through native extraction and selective OCR."""
...
def detect_pdf(path: str) -> PdfResult:
"""Fast detection only — no text extraction."""
...
+1 -1
View File
@@ -6,7 +6,7 @@ build-backend = "maturin"
name = "pdf-inspector"
# Keep package versions in sync with `python3 scripts/version.py <version>`.
# CI publishes automatically when the synchronized change lands on main.
version = "1.15.0"
version = "1.14.2"
description = "Fast PDF inspection, classification, and text extraction with smart scanned vs text-based detection"
readme = "docs/python.md"
license = { text = "MIT" }
+1 -1
View File
@@ -975,7 +975,7 @@ result = pdf_inspector.<span class="fn">process_pdf</span>(<span class="str">"do
<script>
(() => {
const MAX_FILE_SIZE = 25 * 1024 * 1024;
const WASM_MODULE_URL = "https://cdn.jsdelivr.net/npm/@firecrawl/pdf-inspector-wasm@1.15.0/pdf_inspector_wasm.js";
const WASM_MODULE_URL = "https://cdn.jsdelivr.net/npm/@firecrawl/pdf-inspector-wasm@1.14.2/pdf_inspector_wasm.js";
const input = document.querySelector("#pdf-input");
const dropZone = document.querySelector("#drop-zone");
const filePanel = document.querySelector("#demo-file");
+4 -20
View File
@@ -561,11 +561,7 @@ pub(crate) fn extract_page_text_items(
y,
width,
height: rendered_size,
font: crate::extractor::fonts::item_font_name(
&current_font,
base_font,
)
.to_string(),
font: current_font.clone(),
font_size: rendered_size,
page: page_num,
is_bold: is_bold_font(base_font) || desc_bold,
@@ -749,11 +745,7 @@ pub(crate) fn extract_page_text_items(
y,
width,
height: rendered_size,
font: crate::extractor::fonts::item_font_name(
&current_font,
base_font,
)
.to_string(),
font: current_font.clone(),
font_size: rendered_size,
page: page_num,
is_bold: is_bold_font(base_font) || desc_bold,
@@ -860,11 +852,7 @@ pub(crate) fn extract_page_text_items(
y,
width,
height: rendered_size,
font: crate::extractor::fonts::item_font_name(
&current_font,
base_font,
)
.to_string(),
font: current_font.clone(),
font_size: rendered_size,
page: page_num,
is_bold: is_bold_font(base_font) || desc_bold,
@@ -1017,11 +1005,7 @@ pub(crate) fn extract_page_text_items(
y,
width,
height: rendered_size,
font: crate::extractor::fonts::item_font_name(
&current_font,
base_font,
)
.to_string(),
font: current_font.clone(),
font_size: rendered_size,
page: page_num,
is_bold: is_bold_font(base_font) || desc_bold,
-31
View File
@@ -225,26 +225,6 @@ pub(crate) fn build_type3_scales(
scales
}
/// The name a `TextItem` carries for its font: the `/BaseFont` family name
/// ("ABCDEF+CMMI10"), which identifies the actual face, rather than the
/// arbitrary per-page resource tag ("F2").
///
/// Exception: resource names using Distiller's CID convention (`C2_0`,
/// `C0_1`) are kept as-is — `text_utils::is_cid_font` keys on that prefix
/// for micro-gap joining, and the family name carries no CID marker to
/// replace it. This is a known, deliberate wart: `TextItem::font` is the
/// face name except for this one producer convention. The clean fix is an
/// explicit CID flag on `TextItem`, which touches its ~29 construction
/// sites; do that migration when `TextItem` next changes shape, and delete
/// this carve-out with it.
pub(crate) fn item_font_name<'a>(resource_name: &'a str, base_font: &'a str) -> &'a str {
if crate::text_utils::is_cid_font(resource_name) {
resource_name
} else {
base_font
}
}
/// Parse font widths from a font dictionary, dispatching by Subtype
pub(crate) fn parse_font_widths(
doc: &Document,
@@ -1684,17 +1664,6 @@ fn score_text(text: &str) -> i32 {
#[cfg(test)]
mod tests {
#[test]
fn item_font_name_prefers_family_over_resource_tag() {
use super::item_font_name;
assert_eq!(item_font_name("F2", "ABCDEF+CMMI10"), "ABCDEF+CMMI10");
assert_eq!(item_font_name("T22", "Times-Roman"), "Times-Roman");
// Distiller CID-convention resources keep the resource name:
// is_cid_font keys on the C2_/C0_ prefix for micro-gap joining.
assert_eq!(item_font_name("C2_0", "ABCDEE+SimSun"), "C2_0");
assert_eq!(item_font_name("C0_1", "ABCDEE+MSMincho"), "C0_1");
}
#[test]
fn type3_scale_resolves_indirect_matrix_and_bbox_numbers() {
use lopdf::{dictionary, Document, Object};
+2 -10
View File
@@ -620,11 +620,7 @@ fn extract_form_xobject_text_inner(
y,
width,
height: rendered_size,
font: crate::extractor::fonts::item_font_name(
&current_font,
base_font,
)
.to_string(),
font: current_font.clone(),
font_size: rendered_size,
page: page_num,
is_bold: is_bold_font(base_font) || desc_bold,
@@ -779,11 +775,7 @@ fn extract_form_xobject_text_inner(
y,
width,
height: rendered_size,
font: crate::extractor::fonts::item_font_name(
&current_font,
base_font,
)
.to_string(),
font: current_font.clone(),
font_size: rendered_size,
page: page_num,
is_bold: is_bold_font(base_font) || desc_bold,
-44
View File
@@ -203,42 +203,9 @@ pub(crate) fn is_code_like(text: &str) -> bool {
false
}
/// True when a line's text is essentially all monospace (≥90% by character
/// count). Code lines are wholly monospace; anything less is prose carrying
/// mono-styled fragments — a URL sidebar, or a sentence quoting an inline
/// code literal — and fencing it would split paragraphs mid-sentence.
/// Any-item matching was safe only while items carried opaque font resource
/// names that never matched the monospace patterns; items now carry real
/// family names.
pub(crate) fn line_is_monospace(line: &crate::types::TextLine) -> bool {
let mut monospace_chars = 0usize;
let mut total_chars = 0usize;
for item in &line.items {
let text = item.text.trim();
let chars = text.chars().count();
total_chars += chars;
// Hyperlinks and underlined text set in a mono face are link
// styling, not code — a URL sidebar must not fence lyric lines.
let looks_like_link = item.is_underline
|| matches!(item.item_type, crate::types::ItemType::Link(_))
|| text.contains("://")
|| text.starts_with("www.");
if is_monospace_font(&item.font) && !looks_like_link {
monospace_chars += chars;
}
}
total_chars > 0 && monospace_chars * 10 >= total_chars * 9
}
/// Check if font name indicates monospace
pub(crate) fn is_monospace_font(font_name: &str) -> bool {
let lower = font_name.to_lowercase();
// "Monotype" is a foundry prefix on proportional faces (Monotype
// Corsiva, Monotype Garamond) — it must not satisfy the generic "mono"
// token below.
if lower.contains("monotype") {
return false;
}
let patterns = [
"courier",
"consolas",
@@ -263,17 +230,6 @@ pub(crate) fn is_monospace_font(font_name: &str) -> bool {
mod tests {
use super::*;
#[test]
fn monotype_foundry_faces_are_not_monospace() {
// "Monotype" is a foundry prefix on proportional faces; the generic
// "mono" token must not classify them as code fonts.
assert!(!is_monospace_font("MonotypeCorsiva"));
assert!(!is_monospace_font("ABCDEF+Monotype-Garamond"));
assert!(is_monospace_font("RobotoMono-Regular"));
assert!(is_monospace_font("PTMono"));
assert!(is_monospace_font("Courier"));
}
#[test]
fn format_list_item_plain_bullet() {
assert_eq!(format_list_item("● Item"), "- Item");
+28 -52
View File
@@ -11,7 +11,9 @@ use super::analysis::{
detect_header_level, font_size_rarity, has_dot_leaders, is_heading_fragment, is_toc_entry_line,
is_toc_marker_heading,
};
use super::classify::{format_list_item, is_caption_line, is_list_item, starts_with_bullet_marker};
use super::classify::{
format_list_item, is_caption_line, is_list_item, is_monospace_font, starts_with_bullet_marker,
};
use super::heading::classify_heading_sequences;
use super::postprocess::clean_markdown;
use super::preprocess::{merge_drop_caps, merge_heading_lines};
@@ -769,27 +771,7 @@ pub(super) fn to_markdown_from_lines_with_tables_and_images(
let mut in_list = false;
let mut in_paragraph = false;
let mut last_list_x: Option<f32> = None;
// Code lines accumulate here and the fence is emitted only when the
// block flushes with content — an empty ``` ``` pair can never appear.
fn flush_code_block(output: &mut String, pending_code: &mut String) {
let trimmed = pending_code.trim();
// A fragment too short to be code — a lone ® or stray glyph set in
// a mono face — reads better as plain text than as a fenced block.
if trimmed.chars().count() < 3 {
if !trimmed.is_empty() {
output.push_str(trimmed);
output.push_str("\n\n");
}
} else {
output.push_str("```\n");
output.push_str(pending_code);
output.push_str("```\n");
}
pending_code.clear();
}
let mut in_code_block = false;
let mut pending_code = String::new();
let mut prev_had_dot_leaders = false;
let mut paragraph_in_wrapped_bold_run = false;
let mut toc_suppress_page: Option<u32> = None;
@@ -823,7 +805,7 @@ pub(super) fn to_markdown_from_lines_with_tables_and_images(
// Flush current page's remaining tables and images
if current_page > 0 {
if in_code_block {
flush_code_block(&mut output, &mut pending_code);
output.push_str("```\n");
in_code_block = false;
}
flush_page_tables_and_images(
@@ -885,14 +867,6 @@ pub(super) fn to_markdown_from_lines_with_tables_and_images(
PositionedBlockKind::Image => inserted_images.contains(&(current_page, idx)),
};
if positioned_block_precedes_line(block, line) && !already_inserted {
// Code lines buffer until their block closes; flush them
// first so this block cannot jump ahead of code that
// precedes it in reading order. A code line after the
// block reopens a new fence naturally.
if in_code_block {
flush_code_block(&mut output, &mut pending_code);
in_code_block = false;
}
if in_paragraph {
output.push_str("\n\n");
in_paragraph = false;
@@ -963,22 +937,15 @@ pub(super) fn to_markdown_from_lines_with_tables_and_images(
// These should be on their own line followed by a paragraph break
let struct_role = struct_roles.and_then(|roles| resolve_line_struct_role(line, roles));
// Determine if this line is code (struct-tree or font-based) for
// block accumulation. Font-based detection only opens a block at a
// paragraph boundary: a mono-set line that continues an open prose
// paragraph is the producer smearing an inline code literal's style
// across a wrapped line (HTML-to-PDF exports do this), and fencing
// it would cut the sentence in three.
// Determine if this line is code (struct-tree or font-based) for block accumulation
let is_code_line = struct_role
.as_ref()
.is_some_and(|r| matches!(r, StructRole::Code))
|| (options.detect_code
&& (in_code_block || !in_paragraph)
&& super::classify::line_is_monospace(line));
|| (options.detect_code && line.items.iter().any(|i| is_monospace_font(&i.font)));
// Close code block when transitioning to non-code
if in_code_block && !is_code_line {
flush_code_block(&mut output, &mut pending_code);
output.push_str("```\n");
in_code_block = false;
}
@@ -1212,9 +1179,12 @@ pub(super) fn to_markdown_from_lines_with_tables_and_images(
in_paragraph = false;
paragraph_in_wrapped_bold_run = false;
}
in_code_block = true;
pending_code.push_str(plain_trimmed);
pending_code.push('\n');
if !in_code_block {
output.push_str("```\n");
in_code_block = true;
}
output.push_str(plain_trimmed);
output.push('\n');
continue;
}
@@ -1239,7 +1209,7 @@ pub(super) fn to_markdown_from_lines_with_tables_and_images(
// Close any trailing code block
if in_code_block {
flush_code_block(&mut output, &mut pending_code);
output.push_str("```\n");
}
// Flush current page and any remaining pages with tables/images
@@ -1400,7 +1370,7 @@ pub fn to_markdown_from_lines(lines: Vec<TextLine>, options: MarkdownOptions) ->
&& !is_toc_entry_line(plain_trimmed)
&& !is_heading_fragment(plain_trimmed)
&& toc_suppress_page != Some(line.page)
&& !(options.detect_code && super::classify::line_is_monospace(line))
&& !(options.detect_code && line.items.iter().any(|i| is_monospace_font(&i.font)))
{
let line_font_size = line.items.first().map(|i| i.font_size).unwrap_or(base_size);
if let Some(header_level) = detect_header_level(
@@ -1501,13 +1471,19 @@ pub fn to_markdown_from_lines(lines: Vec<TextLine>, options: MarkdownOptions) ->
}
}
// Detect code blocks by font. Only at a paragraph boundary — a
// mono-set line continuing an open prose paragraph is an inline
// code literal's style smeared across a wrapped line, not code.
if options.detect_code && !in_paragraph && super::classify::line_is_monospace(line) {
// Use plain text for code blocks
output.push_str(&format!("```\n{}\n```\n", plain_trimmed));
continue;
// Detect code blocks by font
if options.detect_code {
let is_mono = line.items.iter().any(|i| is_monospace_font(&i.font));
if is_mono {
if in_paragraph {
output.push_str("\n\n");
in_paragraph = false;
paragraph_in_wrapped_bold_run = false;
}
// Use plain text for code blocks
output.push_str(&format!("```\n{}\n```\n", plain_trimmed));
continue;
}
}
// Regular text - join lines within same paragraph with space
-296
View File
@@ -85,107 +85,6 @@ impl PyPageOcrReasons {
}
}
/// Exact OCR model identity retained in page provenance.
#[pyclass(name = "OcrModelIdentity")]
#[derive(Clone)]
pub struct PyOcrModelIdentity {
#[pyo3(get)]
pub name: String,
#[pyo3(get)]
pub revision: String,
}
/// Per-page OCR processing timings.
#[pyclass(name = "OcrTimings")]
#[derive(Clone)]
pub struct PyOcrTimings {
#[pyo3(get)]
pub render_ms: u64,
#[pyo3(get)]
pub ocr_ms: u64,
#[pyo3(get)]
pub assembly_ms: u64,
}
/// Source, model, confidence, and fallback metadata for one page.
#[pyclass(name = "OcrPageProvenance")]
#[derive(Clone)]
pub struct PyOcrPageProvenance {
/// 1-indexed page number.
#[pyo3(get)]
pub page_number: u32,
/// "native", "ocr", or "fused".
#[pyo3(get)]
pub source: String,
#[pyo3(get)]
pub ocr_model: Option<PyOcrModelIdentity>,
#[pyo3(get)]
pub render_dpi: Option<f32>,
#[pyo3(get)]
pub ocr_confidence: Option<f32>,
#[pyo3(get)]
pub timings: PyOcrTimings,
#[pyo3(get)]
pub warnings: Vec<String>,
#[pyo3(get)]
pub hosted_recommended: bool,
}
/// Final Markdown and provenance for one page.
#[pyclass(name = "OcrPageResult")]
#[derive(Clone)]
pub struct PyOcrPageResult {
/// 1-indexed page number.
#[pyo3(get)]
pub page_number: u32,
#[pyo3(get)]
pub markdown: String,
#[pyo3(get)]
pub provenance: PyOcrPageProvenance,
}
/// Complete native/OCR Markdown output.
#[pyclass(name = "OcrPdfResult")]
#[derive(Clone)]
pub struct PyOcrPdfResult {
#[pyo3(get)]
pub markdown: String,
#[pyo3(get)]
pub pages: Vec<PyOcrPageResult>,
#[pyo3(get)]
pub page_count: u32,
#[pyo3(get)]
pub pages_recommended_for_ocr: Vec<u32>,
#[pyo3(get)]
pub pages_routed_to_ocr: Vec<u32>,
#[pyo3(get)]
pub pages_recommending_hosted: Vec<u32>,
#[pyo3(get)]
pub ocr_reasons_by_page: Vec<PyPageOcrReasons>,
#[pyo3(get)]
pub pages_with_tables: Vec<u32>,
#[pyo3(get)]
pub pages_with_columns: Vec<u32>,
#[pyo3(get)]
pub is_complex: bool,
#[pyo3(get)]
pub processing_time_ms: u64,
#[pyo3(get)]
pub render_time_ms: u64,
#[pyo3(get)]
pub ocr_time_ms: u64,
}
#[pymethods]
impl PyOcrPdfResult {
fn __repr__(&self) -> String {
format!(
"OcrPdfResult(pages={}, routed_to_ocr={:?}, recommending_hosted={:?})",
self.page_count, self.pages_routed_to_ocr, self.pages_recommending_hosted
)
}
}
// ---------------------------------------------------------------------------
// Classification wrapper (lightweight)
// ---------------------------------------------------------------------------
@@ -463,101 +362,6 @@ fn to_py_err(e: crate::PdfError) -> PyErr {
PyValueError::new_err(e.to_string())
}
struct PythonOcrOptions {
mode: String,
page_numbers: Option<Vec<u32>>,
password: Option<String>,
dpi: f32,
minimum_confidence: f32,
hosted_recommendation_confidence: f32,
model_directory: Option<String>,
offline: bool,
}
fn build_ocr_options(binding: PythonOcrOptions) -> PyResult<crate::vision::OcrPdfOptions> {
let mode = match binding.mode.trim().to_ascii_lowercase().as_str() {
"off" => crate::vision::OcrMode::Off,
"auto" => crate::vision::OcrMode::Auto,
"force" => crate::vision::OcrMode::Force,
_ => {
return Err(PyValueError::new_err(
"mode must be 'off', 'auto', or 'force'",
));
}
};
let mut options = crate::vision::OcrPdfOptions::new().mode(mode);
options.render.dpi = binding.dpi;
options.ocr.minimum_confidence = binding.minimum_confidence;
options.hosted_recommendation_confidence = binding.hosted_recommendation_confidence;
if let Some(pages) = binding.page_numbers {
options = options.page_numbers(pages);
}
if let Some(password) = binding.password {
options = options.password(password);
}
if let Some(directory) = binding.model_directory {
options.ocr.model_directory = Some(directory.into());
}
if binding.offline {
options.ocr.model_downloads = crate::vision::ModelDownloadPolicy::Offline;
}
Ok(options)
}
fn page_content_source_str(source: crate::vision::PageContentSource) -> String {
match source {
crate::vision::PageContentSource::Native => "native".into(),
crate::vision::PageContentSource::Ocr => "ocr".into(),
crate::vision::PageContentSource::Fused => "fused".into(),
}
}
fn to_py_ocr_result(result: crate::vision::OcrPdfResult) -> PyOcrPdfResult {
PyOcrPdfResult {
markdown: result.markdown,
pages: result
.pages
.into_iter()
.map(|page| {
let provenance = page.provenance;
PyOcrPageResult {
page_number: page.page_number,
markdown: page.markdown,
provenance: PyOcrPageProvenance {
page_number: provenance.page_number,
source: page_content_source_str(provenance.source),
ocr_model: provenance.ocr_model.map(|model| PyOcrModelIdentity {
name: model.name,
revision: model.revision,
}),
render_dpi: provenance.render_dpi,
ocr_confidence: provenance.ocr_confidence,
timings: PyOcrTimings {
render_ms: provenance.timings.render_ms,
ocr_ms: provenance.timings.ocr_ms,
assembly_ms: provenance.timings.assembly_ms,
},
warnings: provenance.warnings,
hosted_recommended: provenance.hosted_recommended,
},
}
})
.collect(),
page_count: result.page_count,
pages_recommended_for_ocr: result.pages_recommended_for_ocr,
pages_routed_to_ocr: result.pages_routed_to_ocr,
pages_recommending_hosted: result.pages_recommending_hosted,
ocr_reasons_by_page: to_py_page_ocr_reasons(result.ocr_reasons_by_page),
pages_with_tables: result.pages_with_tables,
pages_with_columns: result.pages_with_columns,
is_complex: result.is_complex,
processing_time_ms: result.processing_time_ms,
render_time_ms: result.render_time_ms,
ocr_time_ms: result.ocr_time_ms,
}
}
fn item_type_str(t: &ItemType) -> String {
match t {
ItemType::Text => "text".into(),
@@ -698,99 +502,6 @@ fn process_pdf_bytes(data: &[u8], pages: Option<Vec<u32>>) -> PyResult<PyPdfResu
Ok(to_py_result(result))
}
/// Process a PDF file through native extraction and selective OCR.
///
/// OCR defaults to ``auto`` and only initializes its external runtime and
/// model when native quality signals route at least one page. Page numbers
/// are 1-indexed. The GIL is released for the complete processing call.
#[pyfunction]
#[pyo3(signature = (
path,
*,
mode="auto",
page_numbers=None,
password=None,
dpi=150.0,
minimum_confidence=0.0,
hosted_recommendation_confidence=0.5,
model_directory=None,
offline=false
))]
#[allow(clippy::too_many_arguments)]
fn process_pdf_with_ocr(
py: Python<'_>,
path: String,
mode: &str,
page_numbers: Option<Vec<u32>>,
password: Option<String>,
dpi: f32,
minimum_confidence: f32,
hosted_recommendation_confidence: f32,
model_directory: Option<String>,
offline: bool,
) -> PyResult<PyOcrPdfResult> {
let options = build_ocr_options(PythonOcrOptions {
mode: mode.to_string(),
page_numbers,
password,
dpi,
minimum_confidence,
hosted_recommendation_confidence,
model_directory,
offline,
})?;
let result = py
.allow_threads(move || crate::vision::process_pdf_with_ocr(path, options))
.map_err(|error| PyValueError::new_err(error.to_string()))?;
Ok(to_py_ocr_result(result))
}
/// Process PDF bytes through native extraction and selective OCR.
///
/// See [`process_pdf_with_ocr`] for options and result semantics.
#[pyfunction]
#[pyo3(signature = (
data,
*,
mode="auto",
page_numbers=None,
password=None,
dpi=150.0,
minimum_confidence=0.0,
hosted_recommendation_confidence=0.5,
model_directory=None,
offline=false
))]
#[allow(clippy::too_many_arguments)]
fn process_pdf_with_ocr_bytes(
py: Python<'_>,
data: &[u8],
mode: &str,
page_numbers: Option<Vec<u32>>,
password: Option<String>,
dpi: f32,
minimum_confidence: f32,
hosted_recommendation_confidence: f32,
model_directory: Option<String>,
offline: bool,
) -> PyResult<PyOcrPdfResult> {
let options = build_ocr_options(PythonOcrOptions {
mode: mode.to_string(),
page_numbers,
password,
dpi,
minimum_confidence,
hosted_recommendation_confidence,
model_directory,
offline,
})?;
let data = data.to_vec();
let result = py
.allow_threads(move || crate::vision::process_pdf_with_ocr_mem(&data, options))
.map_err(|error| PyValueError::new_err(error.to_string()))?;
Ok(to_py_ocr_result(result))
}
/// Fast detection only — no text extraction or markdown.
#[pyfunction]
fn detect_pdf(path: &str) -> PyResult<PyPdfResult> {
@@ -993,11 +704,6 @@ fn extract_structure_elements_bytes(
fn pdf_inspector(m: &Bound<'_, PyModule>) -> PyResult<()> {
m.add_class::<PyPdfResult>()?;
m.add_class::<PyPageOcrReasons>()?;
m.add_class::<PyOcrModelIdentity>()?;
m.add_class::<PyOcrTimings>()?;
m.add_class::<PyOcrPageProvenance>()?;
m.add_class::<PyOcrPageResult>()?;
m.add_class::<PyOcrPdfResult>()?;
m.add_class::<PyPdfClassification>()?;
m.add_class::<PyTextItem>()?;
m.add_class::<PyStructureElement>()?;
@@ -1007,8 +713,6 @@ fn pdf_inspector(m: &Bound<'_, PyModule>) -> PyResult<()> {
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!(process_pdf_with_ocr, m)?)?;
m.add_function(wrap_pyfunction!(process_pdf_with_ocr_bytes, m)?)?;
m.add_function(wrap_pyfunction!(detect_pdf, m)?)?;
m.add_function(wrap_pyfunction!(detect_pdf_bytes, m)?)?;
m.add_function(wrap_pyfunction!(classify_pdf, m)?)?;
-44
View File
@@ -77,50 +77,6 @@ class TestProcessPdfBytes:
assert result.markdown is not None
# ---------------------------------------------------------------------------
# process_pdf_with_ocr / process_pdf_with_ocr_bytes
# ---------------------------------------------------------------------------
class TestProcessPdfWithOcr:
def test_off_mode_has_full_provenance_without_external_runtimes(self):
result = pdf_inspector.process_pdf_with_ocr(
fixture_path("thermo-freon12.pdf"), mode="off"
)
assert result.page_count == 3
assert len(result.pages) == 3
assert result.pages_routed_to_ocr == []
assert all(page.provenance.source == "native" for page in result.pages)
assert all(page.provenance.ocr_model is None for page in result.pages)
assert result.markdown
assert "OcrPdfResult" in repr(result)
def test_auto_mode_skips_external_runtimes_for_clean_text(self):
result = pdf_inspector.process_pdf_with_ocr_bytes(
fixture_bytes("thermo-freon12.pdf")
)
assert result.pages_routed_to_ocr == []
assert result.render_time_ms == 0
assert result.ocr_time_ms == 0
def test_selected_pages_are_one_indexed(self):
result = pdf_inspector.process_pdf_with_ocr(
fixture_path("thermo-freon12.pdf"), mode="off", page_numbers=[2]
)
assert [page.page_number for page in result.pages] == [2]
def test_rejects_invalid_options(self):
with pytest.raises(ValueError, match="mode must be"):
pdf_inspector.process_pdf_with_ocr(
fixture_path("thermo-freon12.pdf"), mode="sometimes"
)
with pytest.raises(ValueError, match="page 0"):
pdf_inspector.process_pdf_with_ocr(
fixture_path("thermo-freon12.pdf"),
mode="off",
page_numbers=[0],
)
# ---------------------------------------------------------------------------
# detect_pdf / detect_pdf_bytes
# ---------------------------------------------------------------------------
+2 -2
View File
@@ -724,7 +724,7 @@ checksum = "d6790f58c7ff633d8771f42965289203411a5e5c68388703c06e14f24770b41e"
[[package]]
name = "pdf-inspector"
version = "1.15.0"
version = "1.14.2"
dependencies = [
"env_logger",
"include_dir",
@@ -740,7 +740,7 @@ dependencies = [
[[package]]
name = "pdf-inspector-wasm"
version = "1.15.0"
version = "1.14.2"
dependencies = [
"console_error_panic_hook",
"js-sys",
+1 -1
View File
@@ -1,6 +1,6 @@
[package]
name = "pdf-inspector-wasm"
version = "1.15.0"
version = "1.14.2"
edition = "2021"
authors = ["Firecrawl Team"]
description = "Browser WebAssembly bindings for pdf-inspector"