Deepseek OCR

Extracting accurate information from complex documents — PDFs with dense layouts, tables, chemical formulas, or diagrams — is a problem that most OCR tools handle poorly. DeepSeek OCR is a two-stage transformer-based document AI system that uses context optical compression to deliver state-of-the-art document intelligence. It compresses high-resolution documents into lean vision tokens, then decodes them with a 3B-parameter mixture-of-experts model to achieve near-lossless understanding of text, layout, and diagrams across 100+ languages. GPU-efficient, trained on 30 million real PDF pages plus synthetic data, it preserves layout structure, tables, chemistry (SMILES strings), and handles complex geometry tasks with precision.