Files
pdf-inspector/docs/python.md
T
Sunil a410d5aa08 fix: sync Python type stubs (.pyi) with actual bindings and fix doc bugs (#250)
## Bug 1: Python type stubs missing 5 fields/classes

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

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

## Bug 2: PdfResult.pages_needing_ocr indexing undocumented

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

## Bug 3: README.md duplicate bullet character

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

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

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

## Evidence

Cross-referenced every #[pyo3(get)] attribute in src/python.rs
against the .pyi declarations and docs/python.md type reference.
2026-08-04 12:36:30 -07:00

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# pdf-inspector
Fast PDF classification and text extraction. Detects whether a PDF is text-based or scanned, extracts text with position awareness, and converts to clean Markdown — all without OCR. Python bindings via [PyO3](https://pyo3.rs) for the [pdf-inspector](https://github.com/firecrawl/pdf-inspector) Rust library.
Built by [Firecrawl](https://firecrawl.dev) to handle text-based PDFs locally in under 200ms, skipping expensive OCR services for the ~54% of PDFs that don't need them.
## Features
- **Smart classification** — `text_based` / `scanned` / `image_based` / `mixed` in ~1050ms, with a confidence score and per-page OCR routing.
- **Markdown conversion** — headings, lists, code blocks, bold/italic, URL linking, and dual-mode table detection (PDF drawing ops + text-alignment heuristics).
- **Layout-aware extraction** — multi-column reading order, position and font info per text item, RTL support.
- **Robust text decoding** — CID/Type0 fonts via ToUnicode CMaps, plus automatic flagging of broken encodings so callers can fall back to OCR.
- **Lightweight** — native Rust core, no ML models, no external services; ships type stubs.
## Benchmark
[opendataloader-bench](https://github.com/opendataloader-project/opendataloader-bench) corpus (200 PDFs), local engines without model-based PDF parsing; OCR disabled. Scores 01, higher is better:
| Engine | Overall | Reading order | Tables (TEDS) | Headings | Speed |
|---|---|---|---|---|---|
| **pdf-inspector** | **0.875** | **0.915** | **0.814** | 0.788 | **0.470s** |
| liteparse | 0.873 | 0.913 | 0.693 | **0.811** | 0.750s |
| opendataloader | 0.831 | 0.902 | 0.489 | 0.739 | 2.569s |
| pymupdf4llm | 0.735 | 0.886 | 0.401 | 0.424 | 17.117s |
| markitdown | 0.589 | 0.844 | 0.273 | 0.000 | 16.165s |
Refreshed July 31, 2026, on Apple M4 Pro; speed is the median of five complete corpus runs after an excluded warm-up. Full methodology and versions are in the [repo README](https://github.com/firecrawl/pdf-inspector#benchmark), with raw timings and artifacts in the [results branch](https://github.com/firecrawl/opendataloader-bench/tree/abi/pdf-parser-benchmark-results).
## Install
```bash
pip install pdf-inspector
```
Prebuilt wheels cover CPython ≥3.8 on Linux (x86_64, aarch64), macOS (Intel, Apple Silicon), and Windows (x64). Other platforms build from source, which requires a Rust toolchain. For local development in a repo checkout:
```bash
pip install maturin
maturin develop --release
```
## Usage
```python
import pdf_inspector
# Full processing: detect + extract + convert to Markdown
result = pdf_inspector.process_pdf("document.pdf")
print(result.pdf_type) # "text_based", "scanned", "image_based", "mixed"
print(result.confidence) # 0.0 - 1.0
print(result.page_count) # number of pages
print(result.markdown) # Markdown string or None
# Process specific pages only
result = pdf_inspector.process_pdf("document.pdf", pages=[1, 3, 5])
# Process from bytes (no filesystem needed)
with open("document.pdf", "rb") as f:
result = pdf_inspector.process_pdf_bytes(f.read())
# Fast detection only (no text extraction)
result = pdf_inspector.detect_pdf("document.pdf")
if result.pdf_type == "text_based":
print("Can extract locally!")
else:
print(f"Pages needing OCR: {result.pages_needing_ocr}")
# Plain text extraction
text = pdf_inspector.extract_text("document.pdf")
# Positioned text items with font info
items = pdf_inspector.extract_text_with_positions("document.pdf")
for item in items[:5]:
print(f"'{item.text}' at ({item.x:.0f}, {item.y:.0f}) size={item.font_size}")
# Per-page markdown (one Markdown string per page, plus layout metadata)
result = pdf_inspector.extract_pages_markdown("document.pdf")
for page in result.pages:
print(f"Page {page.page}: {len(page.markdown)} chars, needs_ocr={page.needs_ocr}")
# Restrict to specific 0-indexed pages (preserves caller order)
result = pdf_inspector.extract_pages_markdown("document.pdf", pages=[0, 2])
```
## API reference
| Function | Description |
|---|---|
| `process_pdf(path, pages=None)` | Full processing (detect + extract + markdown) |
| `process_pdf_bytes(data, pages=None)` | Full processing 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) |
| `classify_pdf_bytes(data)` | Lightweight classification from bytes |
| `extract_text(path)` | Plain text extraction |
| `extract_text_bytes(data)` | Plain text extraction from bytes |
| `extract_text_with_positions(path, pages=None)` | Text with X/Y coords and font info |
| `extract_text_with_positions_bytes(data, pages=None)` | Text with positions from bytes |
| `extract_text_in_regions(path, page_regions)` | Extract text in bounding-box regions |
| `extract_text_in_regions_bytes(data, page_regions)` | Region extraction from bytes |
| `extract_pages_markdown(path, pages=None)` | Per-page Markdown + layout metadata (all pages by default) |
| `extract_pages_markdown_bytes(data, pages=None)` | Per-page Markdown from bytes |
## Types
Type stubs (`pdf_inspector.pyi`) ship with the package. Result types at a glance:
```python
class PdfResult: # process_pdf / detect_pdf
pdf_type: str # "text_based" | "scanned" | "image_based" | "mixed"
markdown: str | None # extracted Markdown (None for detect_pdf)
page_count: int
processing_time_ms: int
pages_needing_ocr: list[int] # 1-indexed
ocr_reasons_by_page: list[PageOcrReasons]
title: str | None
confidence: float # 0.0 - 1.0
is_complex_layout: bool
pages_with_tables: list[int]
pages_with_columns: list[int]
has_encoding_issues: bool # broken font encodings — consider OCR fallback
class PageOcrReasons: # per-page OCR diagnostics
page: int # 1-indexed
reasons: list[str] # machine-readable reason identifiers
class PdfClassification: # classify_pdf
pdf_type: str
page_count: int
pages_needing_ocr: list[int] # 0-indexed
confidence: float
class TextItem: # extract_text_with_positions
text: str
x: float
y: float
width: float
height: float
font: str
font_size: float
page: int
is_bold: bool
is_italic: bool
is_underline: bool
is_strikeout: bool
item_type: str
class RegionText: # extract_text_in_regions
text: str
needs_ocr: bool
ocr_reason: str | None # machine-readable OCR reason
class PageRegionTexts: # extract_text_in_regions
page: int # 0-indexed
regions: list[RegionText]
class PagesExtractionResult: # extract_pages_markdown
pages: list[PageMarkdown] # PageMarkdown: page (0-indexed), markdown, needs_ocr, ocr_reason
pages_with_tables: list[int] # 1-indexed
pages_with_columns: list[int] # 1-indexed
pages_needing_ocr: list[int] # 1-indexed
ocr_reasons_by_page: list[PageOcrReasons]
is_complex: bool # any page has tables or multi-column layout
```