OpenDataLoader PDF: #1 Trending on GitHub — AI-Ready PDF Parser with No GPU Required

OpenDataLoader PDF is trending #1 on GitHub today with 1,394 stars gained in a single day. It's the only open-source PDF parser that combines rule-based deterministic extraction (no GPU needed), bounding boxes for every element, XY-Cut++ reading order, built-in AI safety filters, and native Tagged PDF support.

The tool ranks #1 in overall accuracy (0.90) and table accuracy (0.93) across 200 real-world PDFs including multi-column and scientific papers, while running locally on CPU. It outputs Markdown, JSON (with bounding boxes), and HTML, and supports OCR in 80+ languages via hybrid mode.

Version 2.0, released under Apache 2.0 license by Hancom, includes four free AI add-ons for OCR, tables, formulas, and charts. A LangChain integration is also available (langchain-opendataloader-pdf) for direct use in agent RAG pipelines.

For the agentic ecosystem, this tool solves a critical data ingestion problem: agents need structured, accurate data from PDFs — one of the most common document formats — without expensive GPU infrastructure.

Install: pip install opendataloader-pdf
GitHub: https://github.com/opendataloader-project/opendataloader-pdf