Hi HN,
I’ve been working on an OCR pipeline specifically optimized for machine learning dataset preparation. It’s designed to process complex academic materials — including math formulas, tables, figures, and multilingual text — and output clean, structured formats like JSON and Markdown.
Some features: • Multi-stage OCR combining DocLayout-YOLO, Google Vision, MathPix, and Gemini Pro Vision • Extracts and understands diagrams, tables, LaTeX-style math, and multilingual text (Japanese/Korean/English) • Highly tuned for ML training pipelines, including dataset generation and preprocessing for RAG or fine-tuning tasks
Sample outputs and real exam-based examples are included (EJU Biology, UTokyo Math, etc.) Would love to hear any feedback or ideas for improvement.
GitHub: https://github.com/ses4255/Versatile-OCR-Program
Comments URL: https://news.ycombinator.com/item?id=43590998
Points: 16
# Comments: 1
Jelentkezéshez jelentkezzen be
EGYÉB POSTS Ebben a csoportban

Article URL: http://gus-massa.blogspot.com/2025/04/decomposing-factorial-of-300k-as.html
Comments U


Article URL: https://yuxi-liu-wired.github.io/essays/posts/cyc/
