tesseract-ocr VS pytesseract

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).

If you don't have it already: https://github.com/madmaze/pytesseract

Yes, pytesseract is a wrapper script and all heavy lifting is done by Tesseract. See the README.

As far as working with reading text from a image there are lots of different libraries for doing this sort of thing, but one of the biggest is probably pytesseract. It is extremely powerful for image to text, and reliably beats alphabet soup captchas.

I'm going to use the Tesseract OCR engine and library, and its Python wrapper PyTesseract for text extraction. But there are numerous libraries out there to extract text from an image. In a real world application I would probably use cloud services from AWS, Google or Microsoft to handle this task.

There's Python Tesseract to do the OCR from python. I think this is not really a beginner's project. Not too much programming, but you need to be able to install the required libraries and glue everything together. If you don't know how to do that maybe start with something simpler.

From what I have heard, tesseract is the best python module for OCR

Yeah, I’m pretty sure the Remarkable OCR is not up to these kinds of tasks unfortunately. If you know some coding you could write something that’d likely work well in Python using for ex. this for receiving the mail attachment and this for converting the PDF to CSV. This is in case you’d write your data as a table on the Remarkable, which I guess is preferable to writing something like (0.5, 8.4, -0.3). If you’d rather do it that way, there are other more suitable OCR tools like this one. The checkbox use-case in the comment above would also be possible by modifying this approach. DM if you’d like to discuss further work.

pytesseract - Python-tesseract is an optical character recognition (OCR) tool for python. That is, it will recognize and "read" the text embedded in images. Python-tesseract is a wrapper for Google's Tesseract-OCR Engine. It is also useful as a stand-alone invocation script to tesseract, as it can read all image types supported by the Pillow and Leptonica imaging libraries, including jpeg, png, gif, bmp, tiff, and others. Additionally, if used as a script, Python-tesseract will print the recognized text instead of writing it to a file.

There are multiple open-source OCR tools like pytesseract or EasyOCR, which can be used to integrate OCR functionality into a program. However, these tools require significant configurations to get up and running to provide results with an acceptable accuracy level.