Deepseek OCR

Paid

What it does

DeepSeek OCR is a two-stage transformer-based document AI system that utilizes 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 text, layout, and diagram understanding across 100+ languages. It supports GPU-efficient throughput for complex layouts and is trained on 30 million real PDF pages plus synthetic data, preserving layout structure, tables, chemistry (SMILES strings), and geometry tasks.

Core features

✦Context Optical Compression Engine
✦Multilingual Support (100+ languages)
✦Structured Output (HTML, Markdown, SMILES, JSON)
✦GPU-efficient throughput (200k pages/day on A100)
✦High precision (97% exact-match accuracy)
✦MIT-licensed weights for on-premises deployment

Use cases

→Compressing scanned books and reports for downstream search, summarization, and knowledge graphs.
→Extracting geometry reasoning, engineering annotations, and chemical SMILES from technical diagrams and formulas.
→Building global corpora across 100+ languages for multilingual dataset creation.
→Embedding into invoice, contract, or form-processing platforms for layout-aware JSON and HTML output.