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DeepSeek-OCR: Optical Character Recognition for Visual-Text Compression

By

pierre

7mo ago· 3 min readenCode

Summary

DeepSeek-OCR is a GitHub repository for optical character recognition (OCR) technology focused on visual-text compression. The project provides installation instructions for CUDA 11.8 and PyTorch 2.6.0 environments, including setup for vLLM inference and transformer compatibility. The repository contains model downloads, paper links, and implementation details for exploring visual-text compression boundaries.

Key quotes

· 5 pulled
Explore the boundaries of visual-text compression.
Our environment is cuda11.8+torch2.6.0.
Clone this repository and navigate to the DeepSeek-OCR folder
Note: if you want vLLM and transformers codes to run in the same environment, you don't need to worry about this installation error
Note: change the INPUT_PATH/OUTPUT_PATH and other settings in th
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Contexts Optical Compression. Contribute to deepseek-ai/DeepSeek-OCR development by creating an account on GitHub.

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