feat: add Python bindings via PyO3

Expose the pdf-inspector Rust library as a Python package using PyO3 + maturin.
Python users can now `pip install` and use `import pdf_inspector` for PDF
classification, text extraction, and markdown conversion with native Rust speed.

Adds:
- src/python.rs: PyO3 bindings (process_pdf, detect_pdf, extract_text, etc.)
- pyproject.toml: maturin build configuration
- pdf_inspector.pyi: type stubs for IDE support
- tests/test_python.py: 21 pytest tests covering all Python API functions
- examples/basic_usage.py: example script demonstrating all features
- Updated README with Python quick start and API reference

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
Jacques Dumora
2026-03-12 17:38:53 +01:00
co-authored by Claude Opus 4.6
parent 7a0e074fa2
commit 0bf5463a1e
8 changed files with 684 additions and 2 deletions
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"""Type stubs for pdf_inspector."""
from typing import Optional
class PdfResult:
"""Result of processing a PDF file."""
pdf_type: str
"""'text_based', 'scanned', 'image_based', or 'mixed'."""
markdown: Optional[str]
page_count: int
processing_time_ms: int
pages_needing_ocr: list[int]
title: Optional[str]
confidence: float
is_complex_layout: bool
pages_with_tables: list[int]
pages_with_columns: list[int]
has_encoding_issues: bool
class TextItem:
"""A positioned text item extracted from a PDF."""
text: str
x: float
y: float
width: float
height: float
font: str
font_size: float
page: int
is_bold: bool
is_italic: bool
item_type: str
def process_pdf(path: str, pages: Optional[list[int]] = None) -> PdfResult:
"""Process a PDF: detect type, extract text, convert to Markdown."""
...
def process_pdf_bytes(data: bytes, pages: Optional[list[int]] = None) -> PdfResult:
"""Process a PDF from bytes in memory."""
...
def detect_pdf(path: str) -> PdfResult:
"""Fast detection only — no text extraction."""
...
def detect_pdf_bytes(data: bytes) -> PdfResult:
"""Fast detection from bytes."""
...
def extract_text(path: str) -> str:
"""Extract plain text from a PDF."""
...
def extract_text_with_positions(path: str, pages: Optional[list[int]] = None) -> list[TextItem]:
"""Extract text with position information."""
...