For structured documents such as financial reports, dots.ocr offers the following specialized capabilities:
- High-precision table extraction: Convert complex tables in financial statements to HTML format, preserving row and column structure and data relationships for direct import into data analysis tools.
- multielement synergistic parsing: Simultaneously recognizes text descriptions, numeric content and associated graphical elements, maintaining the semantic relevance of the original document through JSON output.
- Reading order optimization: Automatically corrects the order of elements in cross-page tables or columnar layouts to ensure that the output conforms to human reading logic.
In practice, the user can use the--prompt prompt_ocrparameter to exclude header and footer interference, or use the--bboxParameters are precisely parsed for specific regions.
This answer comes from the articledots.ocr: a unified visual-linguistic model for multilingual document layout parsingThe
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