I just tried this and the results look very off. I put in the MiniSat[1] Paper, and the result appears catastrophically wrong: https://imgur.com/a/i3RHwcQ
Do you know if this one can also crop the PDF to a region of interest before converting to markdown?
JaumeGar 2 hours ago [-]
Really nice work, thanks for sharing. The table and formula extraction look great.
archeantus 3 hours ago [-]
Great work, thanks for sharing.
beatrizalmeidaf 4 hours ago [-]
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.
thatcherc 3 hours ago [-]
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.
Rendered at 20:32:56 GMT+0000 (Coordinated Universal Time) with Vercel.
[1]: http://minisat.se/downloads/MiniSat.pdf
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.