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Author SHA1 Message Date
Abimael MartellandClaude Opus 4.6 20f24d1f8d extractPagesMarkdown: return classification metadata (0.7.0) (#32)
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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)
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* 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
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
4 changed files with 419 additions and 31 deletions
+1 -1
View File
@@ -1,6 +1,6 @@
{
"name": "firecrawl-pdf-inspector",
"version": "0.4.3",
"version": "0.7.0",
"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",
+114 -27
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@@ -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())
})
@@ -289,6 +317,65 @@ pub fn extract_tables_in_regions(
})
}
/// 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,
}
/// 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>,
/// True if any page has tables or columns.
pub is_complex: bool,
}
/// Extract formatted markdown for specific 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.
#[napi]
pub fn extract_pages_markdown(
buffer: Buffer,
pages: 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)
.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,
})
.collect(),
pages_with_tables: result.pages_with_tables,
pages_with_columns: result.pages_with_columns,
pages_needing_ocr: result.pages_needing_ocr,
is_complex: result.is_complex,
})
})
}
fn parse_page_regions(page_regions: &[PageRegions]) -> Vec<(u32, Vec<[f32; 4]>)> {
page_regions
.iter()
+143
View File
@@ -299,6 +299,149 @@ pub fn classify_pdf_mem(buffer: &[u8]) -> Result<PdfClassification, PdfError> {
})
}
// =========================================================================
// Per-page markdown extraction
// =========================================================================
/// Per-page markdown extraction result.
#[derive(Debug)]
pub struct PageMarkdown {
/// 0-indexed page number.
pub page: u32,
/// Formatted markdown for this page.
pub markdown: String,
/// `true` when text on this page is unreliable (GID-encoded fonts,
/// encoding issues, garbage text, or empty extraction).
pub needs_ocr: bool,
}
/// Combined per-page markdown extraction and layout classification result.
#[derive(Debug)]
pub struct PagesExtractionResult {
/// Per-page markdown results.
pub pages: Vec<PageMarkdown>,
/// 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>,
/// True if any page has tables or columns.
pub is_complex: bool,
}
/// Extract formatted markdown for specific pages of a PDF, with layout
/// classification metadata.
///
/// Unlike [`process_pdf_mem`] which returns one concatenated markdown string,
/// this returns per-page markdown so callers can mix direct extraction
/// (for simple text pages) with GPU OCR (for complex/scanned pages).
///
/// Font statistics are computed from the full document so header
/// detection thresholds are consistent regardless of which pages are
/// requested. Per-page `needs_ocr` is set when the page has GID-encoded
/// fonts, encoding issues, or garbage text.
///
/// Layout complexity (tables, columns) is computed from the full document
/// at near-zero cost since the items/rects/lines are already in memory.
pub fn extract_pages_markdown_mem(
buffer: &[u8],
pages: &[u32],
) -> Result<PagesExtractionResult, PdfError> {
validate_pdf_bytes(buffer)?;
let (doc, page_count) = load_document_from_mem(buffer)?;
let font_cmaps = FontCMaps::from_doc(&doc);
// Extract ALL pages to get accurate, document-wide font stats.
let ((all_items, all_rects, all_lines), page_thresholds, gid_pages) =
extractor::extract_positioned_text_from_doc(&doc, &font_cmaps, None)?;
// Compute layout complexity from full document (near-zero cost).
let complexity = compute_layout_complexity(&all_items, &all_rects, &all_lines);
// Compute font stats from full document (cross-page consistency).
let font_stats = markdown::analysis::calculate_font_stats_from_items(&all_items);
let mut results = Vec::with_capacity(pages.len());
let mut pages_needing_ocr = Vec::new();
for &page_0idx in pages {
// Out-of-range pages → empty + needs_ocr
if page_0idx >= page_count {
pages_needing_ocr.push(page_0idx + 1);
results.push(PageMarkdown {
page: page_0idx,
markdown: String::new(),
needs_ocr: true,
});
continue;
}
let page_1idx = page_0idx + 1;
// Filter items/rects for this page only
let page_items: Vec<TextItem> = all_items
.iter()
.filter(|i| i.page == page_1idx)
.cloned()
.collect();
let page_rects: Vec<PdfRect> = all_rects
.iter()
.filter(|r| r.page == page_1idx)
.cloned()
.collect();
let has_gid = gid_pages.contains(&page_1idx);
// Build markdown with document-wide font stats
let options = MarkdownOptions {
base_font_size: Some(font_stats.most_common_size),
include_page_numbers: false,
strip_headers_footers: false,
..MarkdownOptions::default()
};
let md = markdown::to_markdown_from_items_with_rects_and_lines(
page_items,
options,
&page_rects,
&[],
&page_thresholds,
None,
&[],
);
let needs_ocr = md.trim().is_empty()
|| has_gid
|| is_garbage_text(&md)
|| is_cid_garbage(&md)
|| detect_encoding_issues(&md);
if needs_ocr {
pages_needing_ocr.push(page_1idx);
}
results.push(PageMarkdown {
page: page_0idx,
markdown: if needs_ocr { String::new() } else { md },
needs_ocr,
});
}
Ok(PagesExtractionResult {
pages: results,
pages_with_tables: complexity.pages_with_tables,
pages_with_columns: complexity.pages_with_columns,
pages_needing_ocr,
is_complex: complexity.is_complex,
})
}
// =========================================================================
// Region-based text extraction (for hybrid OCR pipelines)
// =========================================================================
/// Result for a single region's text extraction.
#[derive(Debug)]
pub struct RegionText {
+161 -3
View File
@@ -4,9 +4,10 @@ use pdf_inspector::detector::{DetectionConfig, ScanStrategy};
use pdf_inspector::extractor::group_into_lines;
use pdf_inspector::types::TextLine;
use pdf_inspector::{
detect_pdf_type, extract_tables_in_regions_mem, extract_text, extract_text_in_regions_mem,
extract_text_with_positions, process_pdf_mem, process_pdf_with_options, to_markdown,
MarkdownOptions, PdfError, PdfOptions, PdfType, TextItem,
detect_pdf_type, extract_pages_markdown_mem, extract_tables_in_regions_mem, extract_text,
extract_text_in_regions_mem, extract_text_with_positions, process_pdf_mem,
process_pdf_with_options, to_markdown, MarkdownOptions, PdfError, PdfOptions, PdfType,
TextItem,
};
use std::collections::HashSet;
@@ -1436,3 +1437,160 @@ fn test_extract_tables_in_regions_nonexistent_page() {
assert!(region.needs_ocr);
assert!(region.text.is_empty());
}
// =========================================================================
// extract_pages_markdown_mem tests
// =========================================================================
#[test]
fn test_extract_pages_markdown_basic() {
let buf = std::fs::read("tests/fixtures/nexo-price-en.pdf").unwrap();
let result = extract_pages_markdown_mem(&buf, &[0, 1]).unwrap();
assert_eq!(result.pages.len(), 2);
assert_eq!(result.pages[0].page, 0);
assert_eq!(result.pages[1].page, 1);
// Text-based PDF should produce non-empty markdown
assert!(!result.pages[0].markdown.is_empty());
assert!(!result.pages[0].needs_ocr);
}
#[test]
fn test_extract_pages_markdown_page_ordering() {
let buf = std::fs::read("tests/fixtures/nexo-price-en.pdf").unwrap();
// Request pages in non-sequential order
let result = extract_pages_markdown_mem(&buf, &[1, 0]).unwrap();
assert_eq!(result.pages.len(), 2);
// Results should match input order, not document order
assert_eq!(result.pages[0].page, 1);
assert_eq!(result.pages[1].page, 0);
}
#[test]
fn test_extract_pages_markdown_out_of_range() {
let buf = std::fs::read("tests/fixtures/nexo-price-en.pdf").unwrap();
let result = extract_pages_markdown_mem(&buf, &[9999]).unwrap();
assert_eq!(result.pages.len(), 1);
assert_eq!(result.pages[0].page, 9999);
assert!(result.pages[0].markdown.is_empty());
assert!(result.pages[0].needs_ocr);
assert!(result.pages_needing_ocr.contains(&10000)); // 1-indexed
}
#[test]
fn test_extract_pages_markdown_empty_pages_list() {
let buf = std::fs::read("tests/fixtures/nexo-price-en.pdf").unwrap();
let result = extract_pages_markdown_mem(&buf, &[]).unwrap();
assert!(result.pages.is_empty());
}
#[test]
fn test_extract_pages_markdown_single_page() {
let buf = std::fs::read("tests/fixtures/nexo-price-en.pdf").unwrap();
let result = extract_pages_markdown_mem(&buf, &[0]).unwrap();
assert_eq!(result.pages.len(), 1);
assert_eq!(result.pages[0].page, 0);
assert!(!result.pages[0].markdown.is_empty());
assert!(!result.pages[0].needs_ocr);
}
#[test]
fn test_extract_pages_markdown_invalid_buffer() {
let result = extract_pages_markdown_mem(b"not a pdf", &[0]);
assert!(result.is_err());
}
#[test]
fn test_extract_pages_markdown_gid_pages_need_ocr() {
// shinagawa_identity_h.pdf has GID-encoded fonts
let buf = std::fs::read("tests/fixtures/shinagawa_identity_h.pdf").unwrap();
let result = extract_pages_markdown_mem(&buf, &[0]).unwrap();
assert_eq!(result.pages.len(), 1);
assert!(result.pages[0].needs_ocr);
assert!(result.pages_needing_ocr.contains(&1)); // 1-indexed
}
#[test]
fn test_extract_pages_markdown_classification_with_tables() {
// nexo-price-en.pdf is known to have tables
let buf = std::fs::read("tests/fixtures/nexo-price-en.pdf").unwrap();
let page_count = process_pdf_mem(&buf).unwrap().page_count;
let page_indices: Vec<u32> = (0..page_count).collect();
let result = extract_pages_markdown_mem(&buf, &page_indices).unwrap();
assert!(
!result.pages_with_tables.is_empty(),
"nexo-price-en.pdf should have pages with tables"
);
assert!(result.is_complex);
}
#[test]
fn test_extract_pages_markdown_simple_pdf_no_complexity() {
// bare_name_struct.pdf is a simple document with a heading and code block
let buf = std::fs::read("tests/fixtures/bare_name_struct.pdf").unwrap();
let result = extract_pages_markdown_mem(&buf, &[0]).unwrap();
assert!(result.pages_with_tables.is_empty());
assert!(result.pages_with_columns.is_empty());
assert!(!result.is_complex);
}
#[test]
fn test_extract_pages_markdown_classification_matches_process_pdf() {
let buf = std::fs::read("tests/fixtures/nexo-price-en.pdf").unwrap();
let full = process_pdf_mem(&buf).unwrap();
let page_count = full.page_count;
let page_indices: Vec<u32> = (0..page_count).collect();
let result = extract_pages_markdown_mem(&buf, &page_indices).unwrap();
assert_eq!(
result.pages_with_tables, full.layout.pages_with_tables,
"pages_with_tables should match process_pdf"
);
assert_eq!(
result.pages_with_columns, full.layout.pages_with_columns,
"pages_with_columns should match process_pdf"
);
}
#[test]
fn test_extract_pages_markdown_consistency_with_process_pdf() {
let buf = std::fs::read("tests/fixtures/nexo-price-en.pdf").unwrap();
// Get full process_pdf output
let full = process_pdf_mem(&buf).unwrap();
let full_md = full.markdown.unwrap_or_default();
// Get per-page output for all pages
let page_count = full.page_count;
let page_indices: Vec<u32> = (0..page_count).collect();
let result = extract_pages_markdown_mem(&buf, &page_indices).unwrap();
// Concatenated per-page markdown should contain substantial overlap with
// the full output (exact match not expected due to header/footer stripping
// and cross-page paragraph merging differences)
let concat: String = result
.pages
.iter()
.map(|p| p.markdown.as_str())
.collect::<Vec<_>>()
.join("\n");
// Both should be non-empty for a text-based PDF
assert!(!full_md.is_empty());
assert!(!concat.is_empty());
// The per-page version should contain at least 50% of the full content's
// length (accounting for header/footer stripping differences)
assert!(
concat.len() * 2 >= full_md.len(),
"per-page concat ({} chars) is too short vs full ({} chars)",
concat.len(),
full_md.len()
);
}