textinator VS normcap

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.

The workflow feels a bit more polished (Though also not perfect) and the repo is still active.

[1] https://github.com/dynobo/normcap

https://github.com/dynobo/normcap#similar-open-source-tools

Some sort of OCR — NormCap bound to a hotkey for general OCR and obisidian-ocr-plugin for Obsidian. Vital for tracking down screenshots of stuff.

Just for completeness: There's normcap, an OCR tool to copy text from the screen. It works right out of the box from what I tested, both from Flatpak and the AUR.

but i just found this https://github.com/dynobo/normcap from their readme, using tesseract as its backend, looks like nice replacement for text extractor.