pymupdf4llm

PyMuPDF Utilities for LLM/RAG

pymupdf4llm AGPL license Dual Licensed - GNU AFFERO GPL 3.0 or Artifex Commercial License Active ★ 2,094 v1.28.2 released 2026-08-06

Install

pymupdf4llm on PyPI

pip

pip install pymupdf4llm

uv

uv add pymupdf4llm

poetry

poetry add pymupdf4llm

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	low — pure-Python wheel
Runtime dependencies	4 — pymupdf, pymupdf_layout, tabulate, psutil
Maintenance	actively maintained — 7 days since the last release
Last repo commit	2026-08-12
First released	2024-04-24
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: pymupdf4llm-1.28.2-py3-none-any.whl

Development Status :: 5 - Production/StableEnvironment :: ConsoleIntended Audience :: DevelopersProgramming Language :: Python :: 3Topic :: Utilities

About pymupdf4llm

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

PyMuPDF4LLM

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

Converts PDFs and documents into structured Markdown, JSON, and plain text optimized for LLM ingestion and RAG pipelines, with automatic layout analysis, table detection, and selective OCR.

Low friction: pure-Python wheel with four straightforward runtime dependencies (pymupdf, pymupdf_layout, tabulate, psutil). Active maintenance—released 7 days ago with strong community engagement.

Dual-licensed under AGPL 3.0 or Artifex Commercial License. AGPL applies to open-source use; commercial projects require either compliance with AGPL's copyleft terms or a separate commercial license from Artifex.

Usage

pip install pymupdf4llm

import pymupdf4llm

md = pymupdf4llm.to_markdown("document.pdf")
print(md)

Requires Python ≥3.10.

Verdict: Production-ready tool for document-to-LLM pipelines with no GPU or cloud dependency. Active maintenance, low install friction, and zero known vulnerabilities make it reliable for RAG workflows. AGPL licensing requires attention: open-source projects are compatible, but commercial deployments need explicit licensing review or a commercial license purchase.

Needs verification

Whether pymupdf_layout has compiled dependencies that might affect portability across platforms
Performance characteristics and memory footprint on large documents or batch processing
Scope and completeness of OCR coverage for non-Latin scripts and handwritten text

pdf to markdown for llmdocument extraction rag pipelinepdf layout analysisocr document processingllm ready document conversion