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How accurate is table detection/parsing in PDFs? I found this part the most challenging, and none of the open-source PDF parsers worked well.
by Oras 3y ago
How accurate is table detection/parsing in PDFs? I found this part the most challenging, and none of the open-source PDF parsers worked well.
- saliagato 3y agoworked 100% of the time for me
- filkin 3y agowhich software?
- passion__desire 3y agoHave you checked Surya ?
- Oras 3y agoI did and I had issues when tables had mixed text and numbers. Example: £243,234 would be £234, Or £243 234 Or £243,234 (correct). Some cells weren't even detected.
- passion__desire 3y agohttps://github.com/deepdoctection/deepdoctection https://github.com/deepdoctection/deepdoctection Have you tried this ?
- verdverm 3y agoI've been using camelot, which builds on the lower python pdf libraries, to extract tables from pdfs. Haven't tried anything exotic, but it seems to work. The tables I parse tend to be full page or the most dominant element https://camelot-py.readthedocs.io/en/master/ https://camelot-py.readthedocs.io/en/master/ I like Camelot because it gives me back pandas dataframes. I don't want markdown, I can make that from a dataframe if needed
- serjester 3y agoAuthor here. Optionally we implement unitable which represents the current state of the art in table detection. Camelot / Tabelot use much simpler, traditional extraction techniques. Unitable itself has shockingly good accuracy, although we’re still working on better table detection which sometimes negatively affects results.
- xyzjgf 3y agois this the unitable you mentioned https://github.com/poloclub/unitable https://github.com/poloclub/unitable