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.
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.
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
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.
Seems like it sends your documents to the LLM of your choice. In what world is that “locally”??
LLMs have been self-hostable for a while now.
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.
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
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
I am also building an app that converts web pages to Markdown. How do you handle messy scans and tables?
As a service: https://into.md/