DeepSeek just dropped OCR2 Instead of processin...
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DeepSeek just dropped OCR2 Instead of processing images the standard way they built something called Visual Causal Flow that mimics how humans read documents It handles dynamic resolution so it can chew through PDFs fasttheyre claiming parity with their first OCR model but with better accuracy Works with both vLLM for production speed and regular Transformers Supports everything from clean Markdown conversion to layoutfree OCR when documents are messy github opensource

0:26 Jan 28, 2026 51,200 2,253
@github.awesome
71 words 90% confidence
DeepSeq just dropped OCR too. Instead of processing images the standard way, they built something called Visual Causal Flow that mimics how humans read documents. It handles dynamic resolution so it can chew through PDFs fast. They're claiming parity with their first OCR model, but with better accuracy. Works with both VLLM for production speed and regular transformers. Supports everything from clean markdown conversion to layout-free OCR when documents are messy.

Summary

DeepSeek's OCR-2 utilizes Visual Causal Flow to enhance document processing accuracy and speed, supporting various formats.

Key Points

  1. DeepSeek launched OCR-2 using Visual Causal Flow technology.
  2. This method mimics human reading for better document processing.
  3. It handles dynamic resolution for fast PDF processing.
  4. Claims improved accuracy compared to the first OCR model.
  5. Compatible with vLLM for speed and regular Transformers.
  6. Supports clean Markdown conversion and messy document OCR.

Tags

ocr document-processing visual-causal-flow github opensource

Repurpose Ideas

  • Blog post: How Visual Causal Flow improves OCR accuracy.
  • Tweet: Key features of DeepSeek's OCR-2.
  • LinkedIn post: Benefits of using OCR-2 for document processing.

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