AI without redoing OCR in paperless with paperless-GPT or paperless-IQ ?
Hi,
I have been using Paperless-ngx for a long time, actually I started with paperless-ng before commiting to paperless-ngx.
I really love it, but wouldn't mind adding a little AI to auto-tags some of my documents, so it's easier for me. I want to stay local with Ollama.
I don't want/can't use my GPU for AI on this purpose, so I wanted to use my large CPU for this. The cpu can handle the text part with small models like qwen3 but even if capable of doing vision models, it struggle and can impact the server.
All (or 95%+) of my pdfs already have the OCR processed correctly and the content in Paperless-ngx is usually quite good for this. So I don't see a reason why I need to reprocess it in the LLM.
Is there a way to only process the auto-tags with the text from OCR pdf without the vision LLM in Paperless-GPT ?
Otherwise my solution is to wait or use the beta v3 ? Cause I also found a post from a month ago for : https://github.com/knows-cloud/paperless-iq
That's seems interresting but before going to start and test a new container, I wanted to know if there was a parameter or option I missed in paperless-gpt.
thank you !