Unlimited-OCR

Unlimited OCR Works Welcome the Era of One-shot Long-horizon Parsing. Release [2026/07/21] 🤝 Thanks to the ms-swift community for their support, our model now supports training with ms-swift. [2026/07/03] 🤝 Thanks to the Baidu Cloud team for their support. Our model is now available on Baidu Cloud. [2026/06/28] 🤝 Thanks to the vLLM community and Tianyu Guo for their support, our model now supports vLLM inference. [2026/06/24] 🤝 Thanks to AK for creating a demo for us. It is now available at Hugging Face Spaces. [2026/06/23] 📄 Our paper is now available on arXiv. [2026/06/23] 🤝 Thanks to the ModelScope community for their support. Our model is now available at ModelScope. [2026/06/22] 🚀 We present Unlimited-OCR, aiming to push Deepseek-OCR one step further. Inference Transformers Inference using Huggingface transformers on NVIDIA GPUs. Requirements tested on python 3.12.3 + CUDA12.9： vLLM Please refer to the official vLLM recipe for deployment details: Recipe:** https://recipes.vllm.ai/baidu/Unlimited-OCR Docker Images Use the following Docker images depending on your GPU platform: Default (CUDA 13.0):** For Hopper GPUs (CUDA 12.9)** SGLang Set up the environment (uv-managed virtualenv). Install the local SGLang wheel first, then pin `kernels==0.9.0` and install PyMuPDF for PDF-to-image conversion: Start the SGLang server: Send streaming requests to the OpenAI-compatible API: Visualization Acknowledgement We would like to thank Deepseek-OCR, Deepseek-OCR-2, PaddleOCR for their valuable models and ideas. Citation ```bibtex @misc{yin2026unlimitedocrworks, title={Unlimited OCR Works}, author={Youyang Yin and Huanhuan Liu and YY and Qunyi Xie and Chaorun Liu and Shiqi Yang and Shaohua Wang and Zhanlong Liu and Hao Zou and Jinyue Chen and Shu Wei and Jingjing Wu and Mingxin Huang and Zhen Wu and Guibin Wang and Tengyu Du and Lei Jia}, year={2026}, eprint={2606.23050}, archivePrefix={arXiv}, primaryClass={cs.CV}, url={https://arxiv.org/abs/2606.23050}, }