issue-collab VS Ambar

Code: https://github.com/trybick/issue-collab

If you have read my previous posts, I am celebrating Hacktoberfest which is about to end in a couple of days. This post is about my third PR. In which, I helped translate README.md into my first language. You can check out my PR.

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.