Image-Text-to-Text
PaddleOCR
Safetensors
English
Chinese
multilingual
paddleocr_vl
ERNIE4.5
PaddlePaddle
image-to-text
ocr
document-parse
layout
table
formula
chart
seal
spotting
conversational
custom_code
Eval Results
Instructions to use PaddlePaddle/PaddleOCR-VL-1.6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PaddleOCR
How to use PaddlePaddle/PaddleOCR-VL-1.6 with PaddleOCR:
# See https://www.paddleocr.ai/latest/version3.x/pipeline_usage/PaddleOCR-VL.html to installation from paddleocr import PaddleOCRVL pipeline = PaddleOCRVL(pipeline_version="v1.6") output = pipeline.predict("path/to/document_image.png") for res in output: res.print() res.save_to_json(save_path="output") res.save_to_markdown(save_path="output") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
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@@ -40,7 +40,7 @@ PaddleOCR-VL-1.6: Expanding the Frontier of Document Parsing with Under-Optimize
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[](./LICENSE)
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**🔥 [Official Website](https://www.paddleocr.com)**
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</div>
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## News
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* ```2026.05.28``` 🚀 We release [PaddleOCR-VL-1.6](https://huggingface.co/PaddlePaddle/PaddleOCR-VL-1.6). PaddleOCR-VL-1.6 achieves a new state-of-the-art score of 96.33% on OmniDocBench v1.6, sets new records on OmniDocBench v1.5 and Real5-OmniDocBench as well, and demonstrates strong competitiveness against top-tier VLMs. The model architecture is fully compatible with PaddleOCR-VL-1.5, enabling zero-cost plug-and-play migration.
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### Install Dependencies
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If you find PaddleOCR-VL-1.6 helpful, feel free to give us a star and citation.
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```bibtex
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```
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[](./LICENSE)
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**🔥 [Official Website](https://www.paddleocr.com)**
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**📝 [Technical Report](https://arxiv.org/pdf/2606.03264)**
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</div>
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## News
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* ```2026.06.03``` 🚀 We release [PaddleOCR-VL-1.6 Technical Report](https://arxiv.org/pdf/2606.03264).
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* ```2026.05.28``` 🚀 We release [PaddleOCR-VL-1.6](https://huggingface.co/PaddlePaddle/PaddleOCR-VL-1.6). PaddleOCR-VL-1.6 achieves a new state-of-the-art score of 96.33% on OmniDocBench v1.6, sets new records on OmniDocBench v1.5 and Real5-OmniDocBench as well, and demonstrates strong competitiveness against top-tier VLMs. The model architecture is fully compatible with PaddleOCR-VL-1.5, enabling zero-cost plug-and-play migration.
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### Install Dependencies
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If you find PaddleOCR-VL-1.6 helpful, feel free to give us a star and citation.
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```bibtex
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@misc{zhang2026paddleocrvl16expandingfrontierdocument,
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title={PaddleOCR-VL-1.6: Expanding the Frontier of Document Parsing with Under-Optimized Region Refinement and Progressive Post-Training},
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author={Zelun Zhang and Hongen Liu and Suyin Liang and Yubo Zhang and Yiqing Xiang and Jiaxuan Liu and Ting Sun and Manhui Lin and Yue Zhang and Changda Zhou and Tingquan Gao and Cheng Cui and Yi Liu and Dianhai Yu and Yanjun Ma},
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year={2026},
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eprint={2606.03264},
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archivePrefix={arXiv},
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primaryClass={cs.CV},
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url={https://arxiv.org/abs/2606.03264},
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}
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```
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