DeepSeek-OCR: Contexts Optical Compression
Update: 2025-10-21
Description
In this episode, we discuss DeepSeek-OCR: Contexts Optical Compression by The authors of the paper are:
**Haoran Wei, Yaofeng Sun, Yukun Li**. DeepSeek-OCR introduces a method to compress long text contexts into compact 2D vision tokens using a DeepEncoder and a decoder model, achieving high OCR accuracy even at significant compression ratios. It outperforms existing OCR benchmarks on OmniDocBench while using fewer vision tokens, demonstrating efficiency and scalability. The system is practical for large-scale training data generation and its code and models are publicly available.
**Haoran Wei, Yaofeng Sun, Yukun Li**. DeepSeek-OCR introduces a method to compress long text contexts into compact 2D vision tokens using a DeepEncoder and a decoder model, achieving high OCR accuracy even at significant compression ratios. It outperforms existing OCR benchmarks on OmniDocBench while using fewer vision tokens, demonstrating efficiency and scalability. The system is practical for large-scale training data generation and its code and models are publicly available.
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