textinator VS DictGest

I'm the author of Textinator [1] a similar utility for macOS that uses Apple's Vision framework [2] for doing the OCR natively. Modern versions of macOS have a similar ability to copy text from images directly but Textinator works on macOS back to 10.15 and simplifies the "take screenshot, copy text to clipboard" workflow.

[1] https://github.com/RhetTbull/textinator

Textinator which I wrote and is free & open source. Detects text in screenshots and copies the text to the clipboard. Sort of like Live Text in Monterey/Ventura but works on older Macs (Catalina+) and runs automatically in the background.

On Python Bytes podcast #284 I heard about Text Sniper, a Mac app that allows you easily extract text from images and documents using screenshots (performs text recognition). It's a pretty slick app and I thought, "I can do that in Python" so I built Textinator, a Python clone of Text Sniper that does basically the same thing. MacOS only as it uses the Apple Vision framework to perform the text detection. Screencast demo here.

Hi, if one of your usecases is to map & convert json data to existing python structures also have a look at the DictGest module .

Enabled the discussion page on github: https://github.com/bmsan/DictGest/discussions

DictGest An easy way to remap dictionary data ( coming from multiple heterogenous APIs) to python classes without the need to rewrite boiler plate code everytime.