I built this because extracting PDFs into Markdown/JSON often loses
reading order, tables, formulas, figures, and their original locations.
The goal is a lightweight document extraction pipeline that preserves
document structure and bounding boxes while exporting to Markdown, JSON,
Excel and Word.
I'm also working on structure-aware semantic chunking for RAG, so retrieved
chunks can retain their section, page and exact visual location in the PDF.
The project is open source and I'd love feedback on the architecture,
extraction quality, and useful use cases.
This looks fantastic! The table and formula extraction features are especially interesting. My immediate question is: can this be integrated into Zotero? Most of the PDFs I read are research papers and extracting tables and formulas directly from my zotero collection would be super handy.
I currently use https://github.com/firecrawl/anydoc in my PDF pipelines. In most cases it performs well. I'll test your lib to compare.
Great work, thanks for sharing.
I built this because extracting PDFs into Markdown/JSON often loses reading order, tables, formulas, figures, and their original locations.
The goal is a lightweight document extraction pipeline that preserves document structure and bounding boxes while exporting to Markdown, JSON, Excel and Word.
I'm also working on structure-aware semantic chunking for RAG, so retrieved chunks can retain their section, page and exact visual location in the PDF.
The project is open source and I'd love feedback on the architecture, extraction quality, and useful use cases.
This looks fantastic! The table and formula extraction features are especially interesting. My immediate question is: can this be integrated into Zotero? Most of the PDFs I read are research papers and extracting tables and formulas directly from my zotero collection would be super handy.