python-doxx 0.1.0

Python bindings for the Rust doxx document converter

python-doxx

Minimal Python bindings for the doxx Rust library. Exposes just the pieces needed for scripted document inspection:

• convert(path, export_format="markdown", page=None, images=False) — export .docx files as Markdown, plain text, JSON, CSV, or ANSI strings. Optional page isolates a single page (1-indexed); set images=True to retain image references when available.
• search(path, query, page=None) — return match locations for quick content checks, mirroring doxx --search.
• extract_images(path, output_dir) — dump embedded images, similar to --extract-images in the CLI.

Installation

Once the tagged v0.1.0 release has propagated to PyPI:

pip install python-doxx
# or
uv pip install python-doxx

To build from source locally:

maturin develop

Usage

import doxx

# Export to Markdown
markdown = doxx.convert("report.docx", export_format="markdown", images=True)

# Pull a single page as CSV
csv_page = doxx.convert("data.docx", export_format="csv", page=2)

# Locate text snippets
hits = doxx.search("contract.docx", "payment")
for hit in hits:
    print(hit.page, hit.text)

# Extract embedded images
saved = doxx.extract_images("slides.docx", "./images")

Supported export formats: markdown, text, json, csv, and ansi.

Images are optional; enable them when you need real file paths in the exported Markdown or ANSI render. CSV export raises ValueError if the document contains no tables.

Releasing

1. Make sure CHANGELOG.md (if present) and pyproject.toml share the new version.
2. Tag the release (git tag v0.1.0), then git push --tags.
3. The GitHub Actions workflow builds wheels for macOS, Linux, and Windows, uploads them as artifacts, and—when PYPI_API_TOKEN is configured in the repository secrets—publishes to PyPI automatically.