scribd-downloader VS tesseract-ocr

I suggest manually creating a dataset using scribd.com. It offers a free trial period of 30 days, but I am uncertain whether it covers unlimited documents or not. Nevertheless, there are over one million statements of purpose (SOPs) available on the site. You could also use the Scribd downloader. Some documents may be composed of a bunch of images, so you will have to use something like Tesseract OCR.

You must be referring to this repo. It's not working anymore because the login portion was changed. And the author hasn't updated it. This still works for books and you can use an emulator if you didn't want to use your own device. Here's the cookie cutter method for audiobooks, the only downside is that you have to download the files chapter by chapter.

pip install git+https://github.com/Phoenix124/scribd-downloader

You could try this scribd downloader if it works for you.

i’m trying to download this command line tool off of github, i’ll definitely report back if i have any success lol

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