PyMuPDF
Fast, feature-rich PDF toolkit for text/HTML extraction, images, metadata, and page rendering with coordinates.
document-parsing-frameworksnpm: pdf-lib
64
Hero Score
Popularity
82
Performance
45
Ecosystem
50
Maturity
85
Dev Experience
57
⭐ 10,888 stars⬇ 22.7M downloads/wkFirst release: Apr 2016Last release: Aug 2026
Async Support: NoPlugin Extensions: MediumSpeed: FastDoc Quality: HighLearning Curve: Medium
Pros
- • Fastest PDF library in benchmarks with low memory usage
- • Precise text coordinates and excellent structure preservation for layout-aware parsing
- • Multi-format support (PDF, XPS, EPUB) with access to images, fonts, and annotations
Cons
- • AGPL license may require commercial license for proprietary applications
- • Table extraction requires custom implementation; no built-in table detection
- • External OCR tools (Tesseract) required for scanned/image-based PDFs