Marker
PDF/image to clean Markdown converter using deep-learning models — strong on tables, equations, and complex academic layouts.
document-parsing-frameworksNew to PyRadar
52
Hero Score
Popularity
52
Performance
30
Ecosystem
50
Maturity
61
Dev Experience
68
⭐ 35,616 stars⬇ 146.9K downloads/wkFirst release: Dec 2023Last release: Jan 2026
Async Support: NoPlugin Extensions: MediumSpeed: MediumDoc Quality: HighLearning Curve: Medium
Pros
- • Excellent accuracy on tables, equations, and complex academic PDF layouts
- • GPU-accelerated deep-learning pipeline produces clean, LLM-ready Markdown output
- • Handles multi-column layouts, footnotes, and references better than rule-based parsers
Cons
- • GPL-3 license imposes commercial use restrictions for proprietary applications
- • Large model downloads required on first run, increasing setup footprint
- • Significantly slower on CPU; practical use generally requires a GPU