nodejs-vision VS tesseract-ocr

Google also used all of this to improve their OCR algorithms, almost certainly used in Google Cloud Vision[0], but I doubt this was a consideration when deciding if it was transformative/fair use.

0: https://cloud.google.com/vision

You are looking for a computer vision object recognition api, and there are several, all of which cost money. Here are a couple Google’s Microsoft’s

For an example, Google Cloud API which can read images even facial expression and much more and also can differentiate which Image is violating google terms and condition like - pronographic image

tool/software = https://cloud.google.com/vision

I think you’re underestimating how good OCR tech is. Yeah, shitty penmanship will be harder for software to interpret just as it is for the human eye, but legible ink isn’t much of a problem. I just tried scanning my number off my discs and my iPhone digitized it without issue. This technology is essentially made for digitizing handwritten text. Try it yourself if you’d like: https://cloud.google.com/vision

you guys can use this website to extract the japanese texts from the manga pages : https://cloud.google.com/vision/ , then you can google-translate the texts .

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).