PyMuPDF

A fast Python library for extracting data from and modifying PDF documents

Also known as: pymupdf

What is PyMuPDF?

A Python library providing efficient, precise control over PDF documents for reading, editing, and converting their contents. Built on a lightweight C engine with both low-level control and high-level convenience functions.

Independently observed

PyMuPDF pricing

We don't have PyMuPDF's full plan breakdown yet (its pricing page resisted automated reading). Here's what we could confirm. Always check live pricing for exact numbers.

What PyMuPDF does

The capabilities that matter for pdf editors, normalised so it lines up with every alternative. “-” means we haven't confirmed it, not that it's missing.

Capabilities

Deployment model: Native desktop
Base text and image editing within PDF: ✓
Page merging extraction and splitting: ✓
OCR optical character recognition scanning: ✓
Permanent blackout redaction engine: ✓
Password protection and encryption: ✓
Interactive form field creation: ✓
Digital signature certification enforcement: -
Microsoft office docx xlsx conversion: ✓
File size compression engine: ✓
SOC2 type ii: -
ISO 27001: -
Pricing model: Freemium

Independently observed

Platform & deployment

Independently observed

Platforms

macOS
Linux
Windows

Deployment

Self-hosted

Integrations (1)

Independently observed

ocr

Tesseract•

Security & compliance

Known vulnerabilities: 1 (1 in the last 12 months), max severity MODERATE sourcea count reflects scale & disclosure, not quality

PyMuPDF FAQ

Common questions about PyMuPDF, answered from independent, dated evidence.

What is PyMuPDF?

A Python library built on the MuPDF engine for reading, manipulating, converting, and annotating PDF and document files with integrated OCR support. Designed for local processing in air-gapped and regulated environments. It is indexed under PDF Editors.

Source: https://pymupdf.readthedocs.io/

Is PyMuPDF free?

PyMuPDF offers a free tier, so you can start without paying. Pricing changes often, so verify at source before relying on it.

Source: https://pymupdf.readthedocs.io/

What platforms does PyMuPDF support?

PyMuPDF supports Windows, macOS and Linux. Platforms we have not confirmed are simply not listed here rather than ruled out.

Source: https://pymupdf.readthedocs.io/

Can PyMuPDF be self-hosted?

Yes. PyMuPDF can be deployed on-premise, air-gapped and self-hosted, so it does not have to run on the vendor's infrastructure.

Source: https://pymupdf.readthedocs.io/

Is PyMuPDF open source?

Yes. PyMuPDF is published under the AGPL-3.0 licence, a copyleft licence, so check its terms before embedding it in a closed-source product. Licence terms can change between releases, so verify against the repository for the version you intend to use.

Source: https://github.com/pymupdf/PyMuPDF

PyMuPDF alternatives

Other pdf editors we track, ranked by the same independent score.

All PyMuPDF alternatives, ranked →

Compare PyMuPDF

Side by side against other pdf editors, attribute by attribute, with a source on every value.

Independent · unbought · dated

The vioscaleAI score: one lens on the evidence

Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for PyMuPDF, not the verdict.

Balanced composite 57 / 100

medium · 63%

Signal contributions to the composite score
Signal	Score	Weight	Contribution	Evidence
Capabilities	92	0.07	6.4	✓
Development activity	63	0.09	5.9	✓
Release cadence	81	0.05	4.2	✓
Dependent projects	54	0.06	3.4	✓
Security score	52	0.04	2.2	✓
Stars	76	0.03	2.0	✓
Integrations	9	0.08	0.7	✓
Security posture	0	0.06	0.0	-
Package downloads	0	0.14	0.0	-
Developer Q&A activity	0	0.06	0.0	-

Computed 2026-10-15. Re-weight it by intent, or see the full method.

All data & sourcesshow ↓

Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.

Activity

Attribute	Value	Evidence
Commits last 30dactivity.commits_last_30d	100	mediumsource · 2026-10-15 · 65%

Adoption

Attribute	Value	Evidence
Github starsadoption.github_stars	10,910	highsource · 2026-10-15 · 90%
Dependent reposadoption.dependent_repos	1,798	highsource · 2026-10-15 · 85%

Content

Attribute	Value	Evidence
Faqcontent.faq	5 items	mediumsource · 2026-09-10 · 67%

Features

Attribute	Value	Evidence
Capabilitiesfeatures.capabilities	Pricing model: freemium · Deployment model: native_desktop · File size compression engine: Yes · Interactive form field creation: Yes · Password protection and encryption: Yes · Permanent blackout redaction engine: Yes	mediumsource · 2026-10-15 · 60%

Integrations

Attribute	Value	Evidence
Countintegrations.count	1	mediumsource · 2026-09-13 · 60%

Language

Attribute	Value	Evidence
Primarylanguage.primary	Python	highsource · 2026-10-15 · 90%

License

Attribute	Value	Evidence
Spdxlicense.spdx	AGPL-3.0	highsource · 2026-10-15 · 95%

Pricing

Attribute	Value	Evidence
Free tierpricing.free_tier	Yes	mediumsource · 2026-09-13 · 60%
Modelpricing.model	open_source	mediumsource · 2026-09-13 · 60%
Price levelpricing.price_level	free	mediumsource · 2026-09-13 · 60%
Transparentpricing.transparent	No	mediumsource · 2026-08-20 · 60%

Release

Attribute	Value	Evidence
Cadence daysrelease.cadence_days	35	mediumsource · 2026-10-15 · 70%
Historyrelease.history	20 items	mediumsource · 2026-10-15 · 70%

Security

Attribute	Value	Evidence
Scorecardsecurity.scorecard	5.2	highsource · 2026-10-15 · 90%
Vulnerabilitiessecurity.vulnerabilities	Count: 1 · Source: https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=pymupdf&per_page=100 · Last 12m: 1 · Max severity: MODERATE	highsource · 2026-10-15 · 90%

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