Open source pdf-parser projects
Every project in the registry tagged pdf-parser, ranked by real GitHub adoption.
Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports
yft-design is a powerful, visually stunning online design tool built with Vue3, fabric.js, and Element Plus. 基于fabric.js的开源版【稿定设计】。一款美观且功能强大的在线设计工具，具备海报设计和图片编辑功
The fastest PDF library for Python and Rust. Text extraction, image extraction, markdown conversion, PDF creation & editing. 0.8ms mean, 5× faster than industry
A free-floating 2D Canvas for processing multiple PDF files simultaneously
Frequently asked questions
How many open source pdf-parser projects are there?
This registry tracks 4 projects tagged pdf-parser, with 96,058 GitHub stars between them. The most-adopted is PaddleOCR at 92,143 stars.
Are these pdf-parser projects free to use?
Yes — 4 of the 4 carry an explicit open-source licence across 2 distinct licences, so there is no licence fee. Where a project also sells a hosted or enterprise version, the self-hosted path remains free.
Which pdf-parser project should I choose?
The list above is ranked by GitHub stars, but stars measure attention rather than fit. Check three things on each card: the licence (permissive versus copyleft), the language it is written in, and the last-push date — a high-star project that has not been pushed in a year is a liability.
Are these pdf-parser projects still maintained?
4 of the 4 were pushed in the last 90 days, and every card shows its exact last-push date so you can see the rest. Sort your shortlist by that date before committing to a migration.