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Author SHA1 Message Date
Abimael MartellandClaude Opus 4.6 00c5c18e2a napi: use string enums for PdfType and ItemType (0.5.0) (#29)
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Replace stringly-typed pdf_type and item_type fields with
#[napi(string_enum)] enums for proper TypeScript type checking.
Add link_url field to TextItem instead of encoding URL in the
item_type string.

Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-14 11:25:26 -07:00
Abimael MartellandClaude Opus 4.6 5159abe9c2 fix clippy warnings: prefix unused page_has_gid, cfg(test) wrapper
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Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-13 19:53:28 -07:00
Abimael MartellandClaude Opus 4.6 843a745460 relax table extraction validation for layout-assisted regions (0.4.3)
Two changes that reduce false needsOcr rejections without hurting quality:

1. Per-region GID check instead of per-page blanket rejection.
   Previously, if ANY font on the page used GID-encoded glyphs (common
   in logos, decorative fonts), ALL table and text regions on that page
   were forced to GPU OCR via needsOcr=true. Now the page-level bail is
   removed; per-region text quality checks (is_garbage_text, is_cid_garbage,
   detect_encoding_issues) catch actual GID corruption in the extracted
   content. Tables whose text is clean pass through even if an unrelated
   font elsewhere on the page is GID-encoded.

2. Relaxed looks_like_partial_table for layout-assisted extraction.
   When the layout model already identified a region as a table (i.e.,
   extract_tables_in_regions_mem), boundary-detection heuristics are
   less necessary — we're not guessing "is this a table?" anymore, only
   "can we extract it correctly?". Relaxations:
   - Numeric first header cell accepted (e.g., year "2024")
   - 1 empty header cell allowed in 3+ column tables (merged headers)
   - Sparse first data row threshold relaxed from 33% to 50%
   Paragraph detection and duplicate-header checks remain strict.

Eval: 196/196 pass (full regression suite), 91/91 Rust tests pass
including 7 new layout-assisted validation tests. Zero regressions.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-13 19:46:56 -07:00
Abimael MartellandClaude Opus 4.6 780efdb955 extract_tables_in_regions: detect paragraph-as-table misreads (0.4.2)
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Adds a 5th failure-mode check to looks_like_partial_table: when the
heuristic mis-detects text-wrapped paragraph prose as a multi-column
table, cells in the same column tend to start with lowercase letters
or continuation punctuation (commas, closing quotes) — because they're
actually sentence fragments. Real tables almost never have most data
cells starting lowercase.

Trigger: ≥2 cols, ≥4 data rows, ≥60% of non-empty data cells start
with lowercase or continuation punctuation → return needs_ocr=true.

Caught in the eval as the next-largest failure mode after the 0.4.1 fix:
PDFs 088, 182, 090 — heuristic produced "tables" like:

  |Approval is needed from the|Acquisitions of|
  |Treasurer if the acquisition|residential and|
  |constitutes a "significant|agricultural|
  |action," including acquiring an|land by foreign|

Reading column 1 top-to-bottom: "Approval is needed from the Treasurer
if the acquisition constitutes a 'significant action,' including
acquiring an interest..." — a paragraph, not tabular data.

Tests: 2 new tests (the 088-style failure case + a real multi-word
table that must NOT be flagged). All 11 looks_like_partial_table tests
pass; 323 unit + 91 integration tests still green.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-13 15:09:08 -07:00
3 changed files with 278 additions and 52 deletions
+1 -1
View File
@@ -1,6 +1,6 @@
{
"name": "firecrawl-pdf-inspector",
"version": "0.4.1",
"version": "0.5.0",
"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",
+55 -27
View File
@@ -5,6 +5,28 @@ use napi_derive::napi;
use std::collections::HashSet;
use std::panic;
// ---------------------------------------------------------------------------
// Enums
// ---------------------------------------------------------------------------
/// PDF document type classification.
#[napi(string_enum)]
pub enum PdfType {
TextBased,
Scanned,
ImageBased,
Mixed,
}
/// Type of a positioned text item.
#[napi(string_enum)]
pub enum ItemType {
Text,
Image,
Link,
FormField,
}
// ---------------------------------------------------------------------------
// Result types
// ---------------------------------------------------------------------------
@@ -12,7 +34,7 @@ use std::panic;
/// Full PDF processing result with markdown and metadata.
#[napi(object)]
pub struct PdfResult {
pub pdf_type: String,
pub pdf_type: PdfType,
pub markdown: Option<String>,
pub page_count: u32,
pub processing_time_ms: u32,
@@ -29,7 +51,7 @@ pub struct PdfResult {
/// Lightweight PDF classification result.
#[napi(object)]
pub struct PdfClassification {
pub pdf_type: String,
pub pdf_type: PdfType,
pub page_count: u32,
/// 0-indexed page numbers that need OCR.
pub pages_needing_ocr: Vec<u32>,
@@ -49,7 +71,9 @@ pub struct TextItem {
pub page: u32,
pub is_bold: bool,
pub is_italic: bool,
pub item_type: String,
pub item_type: ItemType,
/// URL for link items, `None` for other types.
pub link_url: Option<String>,
}
/// A page's regions for text extraction: (page_index_0based, bboxes).
@@ -79,18 +103,18 @@ pub struct PageRegionTexts {
// Helpers
// ---------------------------------------------------------------------------
fn pdf_type_string(t: pdf_inspector::PdfType) -> String {
fn convert_pdf_type(t: pdf_inspector::PdfType) -> PdfType {
match t {
pdf_inspector::PdfType::TextBased => "TextBased".to_string(),
pdf_inspector::PdfType::Scanned => "Scanned".to_string(),
pdf_inspector::PdfType::ImageBased => "ImageBased".to_string(),
pdf_inspector::PdfType::Mixed => "Mixed".to_string(),
pdf_inspector::PdfType::TextBased => PdfType::TextBased,
pdf_inspector::PdfType::Scanned => PdfType::Scanned,
pdf_inspector::PdfType::ImageBased => PdfType::ImageBased,
pdf_inspector::PdfType::Mixed => PdfType::Mixed,
}
}
fn to_napi_result(r: pdf_inspector::PdfProcessResult) -> PdfResult {
PdfResult {
pdf_type: pdf_type_string(r.pdf_type),
pdf_type: convert_pdf_type(r.pdf_type),
markdown: r.markdown,
page_count: r.page_count,
processing_time_ms: r.processing_time_ms as u32,
@@ -104,12 +128,12 @@ fn to_napi_result(r: pdf_inspector::PdfProcessResult) -> PdfResult {
}
}
fn item_type_string(t: &pdf_inspector::types::ItemType) -> String {
fn convert_item_type(t: &pdf_inspector::types::ItemType) -> (ItemType, Option<String>) {
match t {
pdf_inspector::types::ItemType::Text => "text".into(),
pdf_inspector::types::ItemType::Image => "image".into(),
pdf_inspector::types::ItemType::Link(url) => format!("link:{url}"),
pdf_inspector::types::ItemType::FormField => "form_field".into(),
pdf_inspector::types::ItemType::Text => (ItemType::Text, None),
pdf_inspector::types::ItemType::Image => (ItemType::Image, None),
pdf_inspector::types::ItemType::Link(url) => (ItemType::Link, Some(url.clone())),
pdf_inspector::types::ItemType::FormField => (ItemType::FormField, None),
}
}
@@ -181,7 +205,7 @@ pub fn classify_pdf(buffer: Buffer) -> Result<PdfClassification> {
let result =
pdf_inspector::classify_pdf_mem(&bytes).map_err(|e| to_napi_err(e, "classify_pdf"))?;
Ok(PdfClassification {
pdf_type: pdf_type_string(result.pdf_type),
pdf_type: convert_pdf_type(result.pdf_type),
page_count: result.page_count,
pages_needing_ocr: result.pages_needing_ocr,
confidence: result.confidence as f64,
@@ -222,18 +246,22 @@ pub fn extract_text_with_positions(
Ok(items
.into_iter()
.map(|item| TextItem {
text: item.text,
x: item.x as f64,
y: item.y as f64,
width: item.width as f64,
height: item.height as f64,
font: item.font,
font_size: item.font_size as f64,
page: item.page,
is_bold: item.is_bold,
is_italic: item.is_italic,
item_type: item_type_string(&item.item_type),
.map(|item| {
let (item_type, link_url) = convert_item_type(&item.item_type);
TextItem {
text: item.text,
x: item.x as f64,
y: item.y as f64,
width: item.width as f64,
height: item.height as f64,
font: item.font,
font_size: item.font_size as f64,
page: item.page,
is_bold: item.is_bold,
is_italic: item.is_italic,
item_type,
link_url,
}
})
.collect())
})
+222 -24
View File
@@ -399,7 +399,7 @@ pub fn extract_text_in_regions_mem(
let page_1idx = page_0idx + 1;
let items = items_by_page.get(&page_1idx);
let page_h = page_heights.get(&page_1idx).copied().unwrap_or(792.0);
let page_has_gid = gid_pages.contains(&page_1idx);
let _page_has_gid = gid_pages.contains(&page_1idx);
let adaptive_threshold = page_thresholds.get(&page_1idx).copied().unwrap_or(0.10);
let coords = if rotated_pages.contains(&page_1idx) {
RegionCoordSpace::Rotated90Ccw
@@ -426,8 +426,10 @@ pub fn extract_text_in_regions_mem(
None => String::new(),
};
// Check per-region text quality instead of blanket page-level
// GID rejection. A GID font in a logo elsewhere on the page
// shouldn't force GPU OCR for clean text regions.
let needs_ocr = text.trim().is_empty()
|| page_has_gid
|| is_garbage_text(&text)
|| is_cid_garbage(&text)
|| detect_encoding_issues(&text);
@@ -504,7 +506,7 @@ pub fn extract_tables_in_regions_mem(
let page_1idx = page_0idx + 1;
let items = items_by_page.get(&page_1idx);
let page_h = page_heights.get(&page_1idx).copied().unwrap_or(792.0);
let page_has_gid = gid_pages.contains(&page_1idx);
let _page_has_gid = gid_pages.contains(&page_1idx);
let coords = if rotated_pages.contains(&page_1idx) {
RegionCoordSpace::Rotated90Ccw
} else {
@@ -516,14 +518,14 @@ pub fn extract_tables_in_regions_mem(
for rect in regions {
let [rx1, ry1, rx2, ry2] = *rect;
// If page has GID font issues, bail early
if page_has_gid {
page_results.push(RegionText {
text: String::new(),
needs_ocr: true,
});
continue;
}
// Note: we intentionally DO NOT bail on page_has_gid here.
// The GID flag means some font on the page uses unresolvable
// glyph IDs, but that font may only appear in a logo or
// header — not in the table region. Instead we let the
// per-region text quality checks (is_garbage_text, is_cid_garbage,
// detect_encoding_issues) reject based on the actual extracted
// content. This avoids rejecting clean tables just because an
// unrelated decorative font on the same page is GID-encoded.
let matched: Vec<TextItem> = match items {
Some(items) => {
@@ -577,10 +579,12 @@ pub fn extract_tables_in_regions_mem(
// mis-detected (numeric "header", empty header cells,
// duplicate header cells). Caught GLM-OCR-as-baseline
// scoring 0 TEDS on real prod tables in eval.
// Layout model already identified this region as a table,
// so use relaxed partial-table checks (layout_assisted=true).
let needs_ocr = is_garbage_text(&md)
|| is_cid_garbage(&md)
|| detect_encoding_issues(&md)
|| looks_like_partial_table(&md);
|| looks_like_partial_table_ex(&md, true);
page_results.push(RegionText {
text: if needs_ocr { String::new() } else { md },
needs_ocr,
@@ -1220,7 +1224,14 @@ fn is_cid_garbage(text: &str) -> bool {
///
/// Conservative by design: a few false positives (perfectly fine tables flagged)
/// just mean we run GPU OCR which is the existing safe path.
fn looks_like_partial_table(markdown: &str) -> bool {
/// When `layout_assisted` is true (the layout model identified this region
/// as a table), we relax boundary-detection heuristics (numeric header,
/// empty header cells, sparse first data row) because the layout model
/// already gave us the table bbox — we're not guessing "is this a table?"
/// anymore, only "can we extract it correctly?". Paragraph and duplicate-
/// header checks stay, since those indicate genuine extraction quality
/// issues regardless of how the region was identified.
fn looks_like_partial_table_ex(markdown: &str, layout_assisted: bool) -> bool {
let lines: Vec<&str> = markdown.lines().filter(|l| l.starts_with('|')).collect();
if lines.len() < 2 {
return false;
@@ -1252,17 +1263,28 @@ fn looks_like_partial_table(markdown: &str) -> bool {
}
// Failure mode 1: header starts with a bare number (likely we missed
// the real header row above)
if let Some(first) = header_cells.first() {
let trimmed = first.trim();
if !trimmed.is_empty() && trimmed.chars().all(|c| c.is_ascii_digit()) {
return true;
// the real header row above). Skip when layout-assisted — the layout
// model's bbox includes the real header; a numeric first cell (e.g.,
// a year "2024") is legitimate.
if !layout_assisted {
if let Some(first) = header_cells.first() {
let trimmed = first.trim();
if !trimmed.is_empty() && trimmed.chars().all(|c| c.is_ascii_digit()) {
return true;
}
}
}
// Failure mode 2: header has empty cells in a multi-column table
// Failure mode 2: header has empty cells in a multi-column table.
// When layout-assisted, allow up to 1 empty header cell (common in
// tables with merged/spanning header cells that we can't represent).
let empty_count = header_cells.iter().filter(|c| c.is_empty()).count();
if n_cols >= 3 && empty_count >= 1 {
if layout_assisted {
// Reject only if >1 empty header cell (2+ means serious boundary issue)
if n_cols >= 3 && empty_count >= 2 {
return true;
}
} else if n_cols >= 3 && empty_count >= 1 {
return true;
}
@@ -1290,20 +1312,81 @@ fn looks_like_partial_table(markdown: &str) -> bool {
if data_cells.len() >= 3 {
let data_inner = &data_cells[1..data_cells.len() - 1];
let empty_data = data_inner.iter().filter(|c| c.is_empty()).count();
// ≥3 cols, and a third or more of cells in the first data row
// are empty → very likely we mis-split a multi-row header.
if n_cols >= 3 && empty_data * 3 >= n_cols {
// ≥3 cols, and significant portion of cells in the first data
// row are empty → likely we mis-split a multi-row header.
// When layout-assisted, relax from 33% to 50% — the bbox is
// more reliable, and real tables with one sparse first row
// (totals, subtotals) are common.
let threshold = if layout_assisted { 2 } else { 3 };
if n_cols >= 3 && empty_data * threshold >= n_cols {
return true;
}
}
}
// Failure mode 5: cells flow as continuation paragraph (text wrapping
// mistaken for column structure). When a paragraph of prose gets mis-
// detected as a multi-column table, cells in the same column tend to
// start with lowercase letters or punctuation (continuation), not
// capital letters / digits (new entries). Real tables almost never
// have most data cells starting lowercase.
//
// Signal: ≥2 cols, ≥4 data rows, and ≥60% of non-empty data cells
// start with a lowercase letter or continuation punctuation.
let data_rows: Vec<Vec<&str>> = lines
.iter()
.skip(2) // header + separator
.map(|l| {
let parts: Vec<&str> = l.split('|').map(|s| s.trim()).collect();
if parts.len() >= 3 {
parts[1..parts.len() - 1].to_vec()
} else {
Vec::new()
}
})
.filter(|cells| !cells.is_empty())
.collect();
if n_cols >= 2 && data_rows.len() >= 4 {
let mut continuation = 0;
let mut total = 0;
for row in &data_rows {
for cell in row {
let trimmed = cell.trim();
if trimmed.is_empty() {
continue;
}
total += 1;
let first = trimmed.chars().next().unwrap();
// Continuation indicators: lowercase letter, common
// mid-sentence punctuation, closing quote
if first.is_lowercase()
|| matches!(first, ',' | '.' | ';' | ')' | '"' | '\'' | '”' | '')
{
continuation += 1;
}
}
}
if total > 0 && continuation * 5 >= total * 3 {
// ≥60% of cells look like sentence continuations → paragraph
// misread as table.
return true;
}
}
false
}
/// Original strict validation (no layout assistance). Used by tests and
/// full-page extraction paths that don't have layout model assistance.
#[cfg(test)]
fn looks_like_partial_table(markdown: &str) -> bool {
looks_like_partial_table_ex(markdown, false)
}
#[cfg(test)]
mod looks_like_partial_table_tests {
use super::looks_like_partial_table;
use super::{looks_like_partial_table, looks_like_partial_table_ex};
#[test]
fn good_table_passes() {
@@ -1377,6 +1460,121 @@ mod looks_like_partial_table_tests {
let md = "|A|B|C|D|\n|---|---|---|---|\n|x|y||z|\n|p|q|r|s|";
assert!(!looks_like_partial_table(md));
}
#[test]
fn paragraph_misread_as_two_column_table_is_partial() {
// Real production failure: text-wrapped paragraph mis-detected as
// 2-col table. Each cell continues the previous one as prose.
let md = "|Approval is needed from the|Acquisitions of|\n\
|---|---|\n\
|Treasurer if the acquisition|residential and|\n\
|constitutes a \"significant|agricultural|\n\
|action,\" including acquiring an|land by foreign|\n\
|interest in different types of|persons must be|\n\
|land where the monetary|reported to the|";
assert!(looks_like_partial_table(md));
}
#[test]
fn real_multi_word_table_is_kept() {
// Real table with multi-word entries — cells start with capital
// letters / proper nouns, NOT lowercase continuations.
let md = "|Country|Capital|Notes|\n\
|---|---|---|\n\
|United States|Washington DC|Federal capital|\n\
|United Kingdom|London|City of London is a separate|\n\
|France|Paris|Île-de-France region|\n\
|Germany|Berlin|Reunified 1990|\n\
|Spain|Madrid|Largest city in Spain|";
assert!(!looks_like_partial_table(md));
}
// --- layout_assisted relaxation tests ---
#[test]
fn numeric_header_accepted_when_layout_assisted() {
// Year as first header cell is valid when layout model gave us the bbox.
let md = "|2024|Revenue|Growth|\n|---|---|---|\n|Q1|1.2M|5%|\n|Q2|1.4M|8%|";
assert!(
looks_like_partial_table(md),
"strict mode rejects numeric header"
);
assert!(
!looks_like_partial_table_ex(md, true),
"layout-assisted should accept"
);
}
#[test]
fn one_empty_header_accepted_when_layout_assisted() {
// Common in merged-header tables: one spanning cell leaves a gap.
let md = "|Position||Senate|House|\n|---|---|---|---|\n|Chair|1|2|3|\n|Vice|4|5|6|";
assert!(
looks_like_partial_table(md),
"strict rejects 1 empty header"
);
assert!(
!looks_like_partial_table_ex(md, true),
"layout-assisted allows 1 empty"
);
}
#[test]
fn two_empty_headers_still_rejected_when_layout_assisted() {
// 2+ empty headers is still bad even with layout assistance.
let md = "|A|||D|\n|---|---|---|---|\n|x|y|z|w|";
assert!(
looks_like_partial_table_ex(md, true),
"2 empty headers rejected even layout-assisted"
);
}
#[test]
fn sparse_first_row_relaxed_when_layout_assisted() {
// 1/4 empty = 25%, below strict 33% threshold but accepted by layout-assisted 50%.
let md = "|A|B|C|D|\n|---|---|---|---|\n|x||y|z|\n|p|q|r|s|";
assert!(!looks_like_partial_table(md), "strict: 25% empty is OK");
// 2/4 = 50%, strict would flag (2*3>=4), relaxed threshold (2*2>=4) would also flag.
let md2 = "|A|B|C|D|\n|---|---|---|---|\n|||y|z|\n|p|q|r|s|";
assert!(looks_like_partial_table(md2), "strict: 50% empty flagged");
assert!(
looks_like_partial_table_ex(md2, true),
"layout-assisted: 50% also flagged"
);
// 2/6 = 33%, strict flags (2*3>=6), relaxed does not (2*2<6)
let md3 = "|A|B|C|D|E|F|\n|---|---|---|---|---|---|\n|x|||y|z|w|\n|a|b|c|d|e|f|";
assert!(looks_like_partial_table(md3), "strict: 33% flagged");
assert!(
!looks_like_partial_table_ex(md3, true),
"layout-assisted: 33% accepted"
);
}
#[test]
fn paragraph_still_rejected_when_layout_assisted() {
// Paragraph detection is not relaxed — it's a genuine extraction issue.
let md = "|Approval is needed from the|Acquisitions of|\n\
|---|---|\n\
|Treasurer if the acquisition|residential and|\n\
|constitutes a \"significant|agricultural|\n\
|action,\" including acquiring an|land by foreign|\n\
|interest in different types of|persons must be|\n\
|land where the monetary|reported to the|";
assert!(
looks_like_partial_table_ex(md, true),
"paragraph rejection stays strict"
);
}
#[test]
fn duplicate_headers_still_rejected_when_layout_assisted() {
let md =
"|Position|Administration|Administration|Notes|\n|---|---|---|---|\n|Senate|24|16|x|";
assert!(
looks_like_partial_table_ex(md, true),
"duplicate headers rejected even layout-assisted"
);
}
}
/// Analyse extracted items and rects for layout complexity.