DavarOCR: A Toolbox for OCR and Multi-Modal Document Understanding
Liang Qiao
Hui Jiang
Ying Chen
Can Li
Pengfei Li
Zaisheng Li
Baorui Zou
Dashan Guo
Yi Xu
Yunlu Xu
Zhanzhan Cheng
Yi Niu

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.
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