raphael-seo/Versatile-OCR-Program
Multi-modal OCR pipeline for extracting text, figures, math, tables, and diagrams from documents, designed for ML training data preparation.
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This project provides an OCR system optimized for machine learning workflows, extracting structured content from documents including text, figures, math equations, tables, and diagrams. It uses a modular, config-driven architecture and can leverage OpenAI models as part of its pipeline. The system is designed to produce clean, ML-ready datasets from academic papers, exams, and educational materials.
Frequently asked
- What is raphael-seo/Versatile-OCR-Program?
- Multi-modal OCR pipeline for extracting text, figures, math, tables, and diagrams from documents, designed for ML training data preparation.
- Is Versatile-OCR-Program open source?
- Yes — raphael-seo/Versatile-OCR-Program is an open-source project tracked on heatdrop.
- What language is Versatile-OCR-Program written in?
- raphael-seo/Versatile-OCR-Program is primarily written in Python.
- How popular is Versatile-OCR-Program?
- raphael-seo/Versatile-OCR-Program has 677 stars on GitHub.
- Where can I find Versatile-OCR-Program?
- raphael-seo/Versatile-OCR-Program is on GitHub at https://github.com/raphael-seo/Versatile-OCR-Program.