OCRFlux is specifically designed to optimize the layout of complex documents, mainly in the following areas:
- Forms processing: Intelligently recognizes complex table structures containing rowspan/colspan and converts them to standard HTML table format for output, preserving the hierarchical relationship of the original table.
- multicolumn parsingAutomatically analyze the reading flow order of multi-column documents and reorganize the contents of each column in a logical order, avoiding the problem of text clutter generated by traditional OCR tools.
- cross-page merge: A unique cross-page detection algorithm automatically recognizes paginated tables and paragraphs and merges them into complete content units.
- Embedded elements: Can correctly handle non-text elements such as illustrations, formulas, etc. in a document, retaining their positional information with appropriate markup in Markdown.
When dealing with academic papers, which are typical multi-column documents, tests show that its layout reduction accuracy is more than 30% higher than traditional OCR tools. Users do not need additional configuration, the tool will automatically recognize and process these complex structures.
This answer comes from the articleOCRFlux: Lightweight tool for converting PDFs and images to MarkdownThe
May not be reproduced without permission:AI productivity tools " How does OCRFlux handle documents containing complex tables and multi-column layouts?
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