Unified Layout Module for PaddleOCR-VL 1.5/1.6 & GLM-OCR.
[](https://github.com/PaddlePaddle/PaddleOCR)
[](https://huggingface.co/PaddlePaddle/PP-DocLayoutV3)
[](https://modelscope.cn/models/PaddlePaddle/PP-DocLayoutV3)
[](https://huggingface.co/spaces/PaddlePaddle/PaddleOCR-VL-1.5_Online_Demo)
[](https://modelscope.cn/studios/PaddlePaddle/PaddleOCR-VL-1.5_Online_Demo/summary)
[](https://discord.gg/JPmZXDsEEK)
[](https://x.com/PaddlePaddle)
[](./LICENSE)
** [Official Website](https://www.paddleocr.com)** |
** [Technical Report](https://arxiv.org/abs/2606.23344)**
Introduction
This is the PP-Doclayoutv3 model weights for the PaddlePaddle framework. Get safetensors weights at PP-DocLayoutV3_safetensors
PP-DocLayoutV3 is specifically engineered to handle non-planar document images. It can directly predict multi-point bounding boxes for layout elements—as opposed to standard two-point boxes—and determine logical reading orders for skewed and curved surfaces within a single forward pass, significantly reducing cascading errors. This model is an essential component of PaddleOCR-VL-1.5, providing crucial layout analysis for the high-precision parsing of various real-world documents in PaddleOCR-VL.
This work has been accepted to ECCV 2026!
Model Architecture
Visualization
Light Variation
Skewing
Screen-photo
Curving
Citation
If you find PP-DocLayoutV3 helpful, feel free to give us a star and citation.
@misc{cui2026rtdoclayoutrealtimeendtoenddocument,
title={RT-DocLayout: Real-Time End-to-End Document Layout Analysis with Reading Order in the Wild},
author={Cheng Cui and Tingquan Gao and Xueqing Wang and Changda Zhou and Hongen Liu and Ting Sun and Yubo Zhang and Zelun Zhang and Jiaxuan Liu and Manhui Lin and Yue Zhang and Suyin Liang and Yiqing Xiang and Yi Liu},
year={2026},
eprint={2606.23344},
archivePrefix={arXiv},
primaryClass={cs.CV},
url={https://arxiv.org/abs/2606.23344},
}
