# ArtifexSoftware/mupdf

mupdf mirror

Repository: https://github.com/ArtifexSoftware/mupdf
Canonical: https://ross.abutalabs.com/products/mupdf
Homepage: http://www.mupdf.com/
Language: C
License: AGPL-3.0
License Family: copyleft
Last push: 2026-08-26T14:46:55+00:00

## Health v2 (maintenance only)
Score: 77/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 99, release rhythm 35, longevity 100
- inputs: {"age_days": 4088, "days_push": 7, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2930, forks 489 (observed 2026-08-28T04:07:30.638314+00:00)

## What it is
MuPDF is a lightweight open-source C library and toolkit for viewing, rendering, parsing, and converting PDF, XPS, and e-book documents. It ships with language bindings (PyMuPDF, MuPDF.js, MuPDF.NET) and command-line tools for rendering, text extraction, annotation, redaction, merging, splitting, and digital signing.

## Use cases
- render pdf pages to images
- extract text from pdf files
- merge and split pdf documents
- annotate and redact pdfs
- digitally sign pdf documents
- convert pdf to png or svg
- embed a pdf viewer in an app
- parse pdf objects and layout

## When to choose
- you need fast, lightweight PDF rendering in C or via Python/JS/C# bindings
- you need low-level PDF parsing and manipulation
- you can comply with AGPL or purchase a commercial license

## When to avoid
- you need a permissively licensed library and cannot use AGPL or pay for commercial licensing
- you only need simple PDF viewing in a browser without embedding a native engine

## Facets
- artifact type: library
- maturity: stable
- function: pdf, parser, image-processing, ocr
- domain: pdf, files, developer-tools, cross-platform
- platform: cross-platform, c, python, dotnet, cli
- tags: pdf-rendering, pdf-viewer, document-conversion, pdf-annotation, digital-signatures, xps, ebook, nodejs

## Member repositories
- ArtifexSoftware/mupdf (main) score 77

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:30.638314+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T07:33:25.514610+00:00, confidence not recorded.
  - readme: https://github.com/ArtifexSoftware/mupdf (fetched 2026-08-28T04:07:30.638314+00:00, sha f90e04c2dece)
  - homepage: http://www.mupdf.com/ (fetched 2026-08-29T09:48:39.090104+00:00, sha 1331a05eea34)
  - site_page: https://mupdf.com/releases (fetched 2026-08-29T09:48:39.099289+00:00, sha d8211c3fa73d)
- Data as of 2026-08-30T08:39:29.467469+00:00.