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It appears images and PDFs are the currently supported document types. If so, is there an opportunity to support web pages? We have quite a few verbose legal documents that consist of auto-geneated HTML that average 100 pages. A tool like this would be helpful in automatically dividing these into their respective section heading. It would also be beneficial to detect / remove extra info such as page numbers. Thanks for posting this!

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We plan to support HTML as an input (its in our backlog). If possible you can DM me one of your document and we can make sure it work.

Is the HTML processed using a DOM / visual parser? I’m looking for something like Readability or Diffbot that can extract rich text / markdown from web pages.

Is there some reason that pandoc[1] won't work for your use case?

[1]https://pandoc.org/

The visual parser is because I want to grab content from any web page and fit it approximately to a pre-defined scheme using the underlying dom and visual cues.

How complicated is the structure of these HTML pages? This sounds like something that could be accomplished with a limited amount of JavaScript.

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