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axm997 1 days ago [-]
https://github.com/amitxm/AIDocPrep is the one I built that is true local OCR. I made sure there is NO internet use, even accidentally. Also, added redaction.
kennywinker 1 days ago [-]
Seems like it sends your documents to the LLM of your choice. In what world is that “locally”??
MrDrMcCoy 1 days ago [-]
LLMs have been self-hostable for a while now.
kennywinker 1 days ago [-]
I am aware, but unless it includes a model and model runner, it’s not offering local it’s allowing local.
theybash 1 days ago [-]
Why would I just not route my docs to my local vlm/llm directly? which I already currently do.
MrDrMcCoy 1 days ago [-]
That is an entirely different question. If you like your current solution, there's no reason to switch.
fishisnow 1 days ago [-]
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.
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.
mrkn1 1 days ago [-]
Worth noting there’s also textsnap if you want something that’s actually local end-to-end via ONNX on CPU, no GPU, no API key, nothing leaves your machine. https://github.com/kouhxp/textsnap
bbor 2 days ago [-]
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
cyrillsemah 2 days ago [-]
[flagged]
darccio 23 hours ago [-]
Docling is also a tool to consider, purely local, even though it's now AI-friendly too: https://docling.ai/
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.