paperless-ngx VS tesseract-ocr

I steered a friend towards Paperless (and away from an LLM solution) as a way of searching/accessing GBs of architectural PDFs recently - so far, it’s apparently working well for them.

https://github.com/paperless-ngx/paperless-ngx

Paperless-ngx is a document management system that transforms your physical documents into a searchable online archive so you can find your physical documents easier. With features such as tags, full text search, multi-user permissions system, this is a dream for those who like to keep an organized folder of files and documents.

Since last year I’ve been configuring and maintaining my homelab setup and it is just amazing.

I’ve learned so much about containers, virtual machines and networking. Some of the self hosted applications like paperless-ngx [1] and immich [2] are much superior in terms of features than the proprietary cloud solutions.

With the addition of VPN services like tailscale [3] now I can access my homelab from anywhere in the world.

The only thing missing is to setup a low powered machine like NUC or any mini PC so I can offload the services I need 24/7 and save electricity costs.

If you can maintain it and have enough energy on weekends to perform routine maintenance and upgrades. I would 100% recommend setting up your own homelab.

[1] https://docs.paperless-ngx.com/

This has been posted a few times already, but I cannot tell you how life changing Paperless NGX is for organizing PDFs. As someone who wrangles all of the insurance and bills for my house, this open source software is so damn good.

https://docs.paperless-ngx.com/

I maintain Bash script to quickly set it up locally on Linux with Podman. Give it a spin if you want to kick the tires.

https://github.com/jdoss/ppngx

Personally, I use https://github.com/joeyates/imap-backup to archive all my emails and then only keep them on the remote server for as long as I need to (basically until I read them and respond or download an attachment into https://docs.paperless-ngx.com )

You will also need to install the Tesseract OCR engine, which can be downloaded and installed from the following link: https://github.com/tesseract-ocr/tesseract

PyTesseract Module [ Github ] EasyOCR Module [ Github ] PaddlePaddle OCR [ Github ]

It uses teseract for the OCR https://github.com/tesseract-ocr/tesseract

Last update was pretty recent, and the git mentions tesseract 5 as a dep. so it's likely moved on a bit from when you last tried it:

https://github.com/tesseract-ocr/tesseract/releases

I suppose it depends on your use-case. For personal tasks like this it should be more than sufficient, and won't need user details/cc or whatever to use it.

Tesseract is an open-source OCR engine developed by Google. It is highly accurate and supports multiple languages. This library will do all the heavy lifting for us. We'll use it in this tutorial to quickly read the text in some images.

> Does android even have native OCR?

Tesseract? https://github.com/tesseract-ocr/tesseract

Install Google Tesseract OCR (additional info how to install the engine on Linux, Mac OSX and Windows). You must be able to invoke the tesseract command as tesseract. If this isn’t the case, for example because tesseract isn’t in your PATH, you will have to change the “tesseract_cmd” variable pytesseract.pytesseract.tesseract_cmd. Under Debian/Ubuntu you can use the package tesseract-ocr. For Mac OS users. please install homebrew package tesseract.

OCR detection will be done with Tesseract.

I’ve used Tesseract for this. It seems to work well with tabular data. https://github.com/tesseract-ocr/tesseract

If you go this route, then using an app that can convert your handwritten notes to a digital format (indexed text), will give you a good balance between cognitive processing and efficient data storage/management; you can likely find many such apps on the App Store or Google Play. If you're interested in something more hands-on, on Arch you can probably experiment with Tesseract OCR in an interesting way (Example).