Parsr

From the source, Documind appears to: 1) Install tools like Ghostscript, GraphicsMagick, and LibreOffice with a JS script. 2) Convert document pages to Base64 PNGs and send them to OpenAI for data extraction. 3) Use Supabase for unclear reasons. Some issues with this approach: * OpenAI may retain and use your data for training, raising privacy concerns [1]. * Dependencies should be managed with Docker or package managers like Nix or Pixi, which are more robust. Example: a tool like Parsr [2] provides a Dockerized pdf-to-json solution, complete with OCR support and an HTTP api. * GPT-4 vision seems like a costly, error-prone, and unreliable solution, not really suited for extracting data from sensitive docs like invoices, without review. * Traditional methods (PDF parsers with OCR support) are cheaper, more reliable, and avoid retention ri

I'm part of the team that build LlamaParse. It's net improvement compare to other PDF->Structured Text extractors (I build several in the past, includig https://github.com/axa-group/Parsr). For character extraction, LlamaParse use a mixture of OCR / character extraction from the PDF (it's the only parser I'm aware of that address some of the buggy PDF font issues, check the 'text' mode to see raw document before reconstruction), use a mixture of heuristic and Machine learning models to reconstruct the document. Once plug with a Recursive retrieval strategy, allow you to get Sota result on question answering over complexe text (see notebook: https://github.com/run-llama/llama_parse/blob/main/examples/...). AMA

Also in the extracting-structured-data-from-PDFs solution space, there is Parsr which was recently posted on HN: https://github.com/axa-group/Parsr see https://news.ycombinator.com/item?id=22035258 It's based on a pipeline of various js modules and pluggable backends (e.g. tesseract, GCP cloud vision, Abbyy API, etc.) For tables with numbers in them, it worked pretty well, but I'm yet to find a tool that can parse/understand documents where the entire page is a table layout with lots of merged cells. I think even for humans it's hard to understand the structure in those cases...

There is no inputs and outputs example in the repo to allow you to see rapidly what is possible. We should definitively add them. For a quick test you can either run the jupyter notebook https://github.com/axa-group/Parsr/tree/master/demo/jupyter-... or run the docker with the UI interface and just drag and drop documents / play with the configuration docker run -t -p 8080:80 axarev/parsr-ui-localhost:latest