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I built a free tool(https://mdpdf.net), based on the fast PDF conversion library (https://github.com/firecrawl/pdf-inspector). It runs entirely in the user’s browser. In my view, the biggest pain points when converting PDF to Markdown are whether it can properly handle content like tables and code blocks, as well as OCR. Current OCR approaches don’t seem very effective unless you use an LLM.
kennywinker17hon HN
Seems like it sends your documents to the LLM of your choice. In what world is that “locally”??
MrDrMcCoy17hon HN
LLMs have been self-hostable for a while now.
I am aware, but unless it includes a model and model runner, it’s not offering local it’s allowing local.
theybash10hon HN
Why would I just not route my docs to my local vlm/llm directly? which I already currently do.
That is an entirely different question. If you like your current solution, there's no reason to switch.
cameronbedard20hon HN
How does this differ from open source cli tools such as Marker (https://github.com/datalab-to/marker)?

Also, it seems disingenuous to have “locally” in the title when your default is cloud inference providers and I don't see you naming a recommended LLM that could be hosted locally and is proven to work well for this task. You list “Your files” under “Stays on your machine” and then require an API key for a cloud provider.

bbor20hon HN
Shoutout to marker-2. By far the best OCR system, IME. The amount of annoying little edge cases they know about and cover for you is dizzying
Have someone actually used it? Any feedback? There are a lot of alternatives at the moment, all of them break on complex excel documents
Benard-dev20hon HN
I am also building an app that converts web pages to Markdown. How do you handle messy scans and tables?
i really need this tool like these concepts