xournalpp VS tesseract-ocr

I highly recommend Rnote to anyone on Linux that misses the "hodgepodge" notetaking of apps like OneNote. It works like a dream on touchscreens and drawing tablets, with a surprising amount of configuration under the hood.

Also worth noting is Xournal, an older but similar project: https://xournalpp.github.io/

I've been using Xournalpp[1] for many years, highlighting books as I read them, adding in text/hand drawn annotations in whitespaces if necessary. Unlike other PDF readers/annotators, it saves a separate file, so the original PDF is untouched. It can also export the annotated PDF as a new PDF with highlights and annotations.

Obsidian[2] also has PDF support, where you can open a markdown document side by side with the PDF to take notes as you read. I think it also lets you highlight the PDF itself.

Emacs I think has a similar feature, via plugins/org-mode(?) to the Obsidian setup.

And of course your typical PDF reader probably has support for highlighting PDFs too, but I find them clunky and they save by exporting a PDF, which can be a bit heavy-handed IMO compared to just saving the annotations/highlights as a separate file as Xournalpp does.

[1]: https://github.com/xournalpp/xournalpp/

Currently, I am trying to build a small open source NLP project for which I first find text on a page and then translate it; see the current project state here: https://github.com/PellelNitram/xournalpp_htr. The purpose of this project is to make handwritten text in Xournal++ searchable for all users.

[Xournal++](https://xournalpp.github.io/) is in my option the best handwritten note-taking software out there, because it has all the coolest features (like LaTeX snippets and shapes) and it's open source too, so make sure to check it out!

We are going to be using an OCR (Optical Character Recognition) engine called Tesseract for the image-to-text recognition part. It is free software, released under the Apache License. Install the engine for your desired OS from their official website. I'm using Windows for this. Add the installation path to your environment variables.

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