For the specialized needs of academic papers, dots.ocr offers the following special features:
- Mathematical formula processing: Convert formulas in papers to LaTeX format, maintaining accurate representation of superscripts/subscripts and other mathematical notation
- Literature structuring: Automatically differentiate between different blocks such as text, references, diagram captions, etc. through JSON output of the
categoryField Marker Element Type - Columnar Typography ExplainedAccurately recognizes the reading order in a two-column layout paper, avoiding the problem of misplaced text that occurs in traditional OCR.
- visualization and verification: Generate image files with bounding box annotations to facilitate manual checking of parsing results by the researcher.
These functions are especially suitable for building academic literature database or developing literature management tools, the measured degree of completeness of parsing SCI papers reaches more than 91%.
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 " What special elements can dots.ocr extract when parsing academic papers?
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