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DeepSeek OCR Is Insane
DeepSeek AI recently revealed DeepSeek-OCR, it is a groundbreaking approach to compress long contexts via optical 2D mapping. It has been a long time goal to ingest documents in LLMs, and this is quite a big leap in that direction.
This innovative system demonstrated that vision-based compression can achieve remarkable efficiency in handling text-heavy documents, completely revolutionizing how large language models (LLMs) process extensive textual information without relying on OCRs.
What Makes DeepSeek-OCR Revolutionary?
Exceptional Compression Ratios with High Accuracy
The DeepSeek-OCR system consists of two primary components: DeepEncoder and DeepSeek3B-MoE-A570M as the decoder. Together, they achieve an impressive 97% OCR precision when compressing text at a ratio of less than 10× (meaning 10 text tokens compressed into 1 vision token).
The core innovation of DeepSeek-OCR lies in its ability to compress textual information dramatically while maintaining high accuracy:
- 96%+ OCR precision at 9–10× compression ratio
- ~90% accuracy at 10–12× compression ratio
- ~60% accuracy at 20× compression ratio
