DavarOCR: A Toolbox for OCR and Multi-Modal Document Understanding

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Abstract

This paper presents DavarOCR, an open-source toolbox for OCR and document understanding tasks. DavarOCR currently implements 19 advanced algorithms, covering 9 different task forms. DavarOCR provides detailed usage instructions and the trained models for each algorithm. Compared with the previous opensource OCR toolbox, DavarOCR has relatively more complete support for the sub-tasks of the cutting-edge technology of document understanding. In order to promote the development and application of OCR technology in academia and industry, we pay more attention to the use of modules that different sub-domains of technology can share. DavarOCR is publicly released at https://github.com/hikopensource/Davar-Lab-OCR. [Paper]

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The work has obtained the Best Open Source Award in ACM MM 2022

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If you find our work is helpful to your research, please feel free to cite us:

@inproceedings{DBLP:conf/mm/QiaoJCLLLZGXXCN22,
  author    = {Liang Qiao and
               Hui Jiang and
               Ying Chen and
               Can Li and
               Pengfei Li and
               Zaisheng Li and
               Baorui Zou and
               Dashan Guo and
               Yingda Xu and
               Yunlu Xu and
               Zhanzhan Cheng and
               Yi Niu},
  title     = {DavarOCR: {A} Toolbox for {OCR} and Multi-Modal Document Understanding},
  booktitle = {ACM MM},
  pages     = {7355--7358},
  year      = {2022},
}