For financial reports, academic papers and other documents containing complex tables and formulas, dots.ocr offers a professional-grade solution:
- Form Extraction: Automatically detects table bounding boxes and outputs them in HTML format, preserving the complete table structure and content.
- formula recognition: Output math formulas in LaTeX format to ensure accuracy of scientific notation and formula structure
- Batch Processing Optimization: When parsing multi-page PDF, it is recommended to set the -num_threads parameter (e.g. 64 threads) to improve processing speed.
- visualization and verification: Generate visualized images with bounding boxes to facilitate manual checking of the extraction results
The python3 dots_ocr/parser.py command with the -prompt parameter is especially recommended for targeted extraction.
This answer comes from the articledots.ocr: a unified visual-linguistic model for multilingual document layout parsingThe
May not be reproduced without permission:AI productivity tools " Solve the problem of accurately extracting tables and formulas from complex PDF documents.
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