Ambar VS Parsr

AnyTXT.net for PC. https://github.com/RD17/ambar and https://docfetcher.sourceforge.net/en/index.html for Linux

One product could be "Ambar: Document Search Engine"

https://github.com/RD17/ambar

> Ambar is an open-source document search engine with automated crawling, OCR, tagging and instant full-text search

> *Easily deploy Ambar with a single docker-compose file; *Perform Google-like search through your documents and contents of your images; *Tag your documents; *Use a simple REST API to integrate Ambar into your workflow

There was an open-source program called Ambar that was pretty chill. It let you full-text search documents, perform OCR on these documents, and tag. There surely exist apps that do each, but the nice thing about Ambar was it incorporated all of the above into one nice GUI.

I don't need any other features (other than batch uploading). The best ones I've found so far are Ambar, I, librarian, and Lodestone with their multiple 'snippet' search functionality, however for various reasons they won't work with my use case.[1]

Ambar - Document Search Engine · An open-source document search engine with automated crawling, OCR, tagging and instant full-text search

Amber Main Page and GitHub

There is also stuff like Mayan EDMS which is much more enterprise-oriented or Ambar which targeted more for individual users.

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

Link to the Github Repository and pre defined Docker Compose Build file for Parsr

I would check out https://github.com/Unstructured-IO/unstructured (what lang chain uses) or https://github.com/axa-group/Parsr (probably what unstructured copied to get their startup off the ground lol)

Things I still want to try: - Parsr

I personally haven't used it yet, but I heard some good things about Parsr: https://github.com/axa-group/Parsr

Parsing PDFs is very non-trivial process. Google and Amazon parses are largely based on OCRing. There are some advanced state-of-the-art NN-based OCR approaches but they are not very stable, but a stable industry standard is Tesseract, and nice all-in-one open source tools that brings a ton of tools together is https://github.com/axa-group/Parsr . hope this helps