The system accurately recognizes six categories of content elements in a document: regular text areas, data tables, mathematical formulas, image illustrations, headers and footers, and special symbols. Each element is not only categorized and tagged, but also outputs pixel-level precision bounding box coordinates (bbox), whose detection accuracy exceeds 90% on complex documents such as academic papers. for table content, the system generates W3C-compliant HTML code; mathematical formulas are converted to LaTeX syntax to maintain the integrity of the formula structure and editability. This fine-grained parsing capability makes it particularly suitable for processing scientific research literature and technical documents.
This answer comes from the articledots.ocr: a unified visual-linguistic model for multilingual document layout parsingThe
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