DavarOCR: A Toolbox for OCR and Multi-Modal Document Understanding
This toolbox addresses the need for accessible and comprehensive OCR tools in academia and industry, though it is incremental as it builds on existing open-source efforts.
The authors introduced DavarOCR, an open-source toolbox for OCR and document understanding, which implements 19 algorithms across 9 tasks and provides trained models, offering more complete support for cutting-edge document understanding sub-tasks compared to previous toolboxes.
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.