GitKraken Glo Boards
Commit Together by Github
Refined GitHub
GitHub Marketplace
Sublime Text
Board for Github
Spaceship ZSH
Git and GitHub integration right inside Atom

Capture2text
KanjiTomo
TextSniper
Textify
Q-Dir
ABBYY Screenshot Reader
Easy Screen OCR
Program to recognize text on screen

Which is more popular?
Based on our record, dpScreenOCR seems to be more popular. It has been mentioned 4 times since March 2021.
Website, pricing, platforms and company facts side by side.
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GHA
GitHub for Atom
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|---|---|---|
| Website | github.atom.io | danpla.github.io |
| Pricing | — | |
| Listed in |
What each product offers, as listed by its team.

Possible disadvantages
Possible disadvantages
How often each product is chosen within a category, 0–100% relative to the other.

Share your experience with using GitHub for Atom and dpScreenOCR. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.

Tracking GitHub for Atom since Mar 2021.
Use this: https://danpla.github.io/dpscreenocr/ I set it on Ctrl+Q shortcut. It takes screenshot and transcribe text from the image. The text is automatically copied to clipboard for you. Its English OCR is top-notched. Its other... Source: about 3 years ago
I use dpScreenOCR but I replace the included Tesseract trained data by the tessdata_best repo. Source: over 3 years ago
You may want to start more simply by helping dpscreenocr work on Wayland: https://danpla.github.io/dpscreenocr/ ,. Source: about 4 years ago
When comparing GitHub for Atom and dpScreenOCR, you can also consider the following products.

Easily track tasks and issues from inside popular dev tools
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Capture2Text enables users to quickly OCR a portion of the screen using a keyboard shortcut.
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Now add co-authors to your commits
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KanjiTomo is a OCR program for identifying Japanese text from images.
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Browser extension that makes GitHub cleaner & more powerful
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Instantly extract any text from your Mac's screen
Compare TextSniper to GitHub for Atom or dpScreenOCR: