pymupdf-layout

PyMuPDF Layout turns PDFs into structured data 10× faster than vision-based tools using AI trained on PDF internals, not images. CPU-only. No GPU required.

pymupdf-layout AGPL license Dual Licensed - GNU AFFERO GPL 3.0 or Artifex Commercial License Active ★ 0 v1.28.2 released 2026-08-06

Install

pymupdf-layout on PyPI

pip

pip install pymupdf-layout

uv

uv add pymupdf-layout

poetry

poetry add pymupdf-layout

Package facts

License	Dual Licensed - GNU AFFERO GPL 3.0 or Artifex Commercial License (agpl)
Python support	supports the current Python release (>=3.10)
Install friction	medium — platform-specific wheel
Runtime dependencies	5 — PyMuPDF, pyyaml, numpy, onnxruntime, networkx
Maintenance	actively maintained — 7 days since the last release
Last repo commit	2026-08-06
First released	2025-11-05
Popularity	one of the top 1,000 most-downloaded packages on PyPI (30-day window, as of 2026-08-13)
Known vulnerabilities	none known (OSV.dev, checked 2026-08-13)

Evidence: pymupdf_layout-1.28.2-cp310-abi3-macosx_10_9_x86_64.whl; pymupdf_layout-1.28.2-cp310-abi3-macosx_11_0_arm64.whl; pymupdf_layout-1.28.2-cp310-abi3-manylinux_2_28_aarch64.whl; pymupdf_layout-1.28.2-cp310-abi3-manylinux_2_28_x86_64.whl; pymupdf_layout-1.28.2-cp310-abi3-win_amd64.whl

Development Status :: 5 - Production/StableIntended Audience :: DevelopersIntended Audience :: Information TechnologyLicense :: Other/Proprietary LicenseOperating System :: MacOSOperating System :: Microsoft :: WindowsOperating System :: POSIX :: LinuxProgramming Language :: CProgramming Language :: C++Programming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: Implementation :: CPythonTopic :: Multimedia :: GraphicsTopic :: Software Development :: LibrariesTopic :: Utilities

About pymupdf-layout

from the package's own PyPI description — quoted content, verbatim

PyMuPDF Layout

Docs (image) PyPI Version (image) PyPI - Python Version (image) License AGPL (image) [![PyPI...

Read as markdown · JSON record · Source repository · Docs

AI interpretation — verify before relying

AI-generated interpretation of the package facts above; every digit, version, license, or vulnerability id it cites is grounded in the facts already shown on this page

PyMuPDF Layout analyzes PDF structure using Graph Neural Networks trained on PDF internals to extract clean, semantically-marked data (Markdown, JSON, TXT) without requiring GPUs or vision models.

Medium install friction due to compiled wheels (C/C++ components) across multiple platforms; however, active maintenance (7 days since last release) and production-stable status indicate solid upkeep. Requires Python ≥3.10.

Dual-licensed under AGPL 3.0 or Artifex Commercial License. AGPL use requires source disclosure of derivative works; commercial licensing available from Artifex for proprietary deployments.

Usage

pip install pymupdf-layout

from pymupdf_layout import analyze_pdf
result = analyze_pdf('document.pdf')

Requires Python ≥3.10 and compiled dependencies (C/C++); prebuilt wheels available for macOS (x86_64, arm64), Linux (x86_64, aarch64), and Windows (x64).

Verdict: Production-ready layout analysis tool with strong maintenance signals and no known vulnerabilities. AGPL licensing requires careful evaluation for commercial or closed-source projects. Medium install friction is manageable given broad platform coverage via prebuilt wheels.

Needs verification

Whether onnxruntime and networkx are required at runtime or only for specific features
Performance benchmarks substantiating the claimed 10× speedup versus vision-based alternatives
Minimum PDF complexity or size where layout analysis becomes meaningful

pdf layout analysisstructured pdf extractionpdf to markdown conversiondocument semantic markuppdf table detectionheader footer isolationcpu-only pdf parsing