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.