TextSnatcher: Copy text from images, for the Linux Desktop

This page summarizes the projects mentioned and recommended in the original post on news.ycombinator.com

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  • TextSnatcher

    How to Copy Text from Images ? Answer is TextSnatcher !. Perform OCR operations in seconds on Linux Desktop.

  • Frog

    Extract text from any image, video, QR Code and etc. (by TenderOwl)

  • The similar app I am using is Frog (https://getfrog.app) with great sucesss.

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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  • OCRmyPDF

    OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched

  • Try https://github.com/ocrmypdf/OCRmyPDF - it uses Tesseract behind the scenes and it absolutely brilliant.

  • normcap

    OCR powered screen-capture tool to capture information instead of images

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

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

  • TRex

    Copy any text on your screen, stop retyping.

  • Just three hours ago I switched back to Linux after a few years on MacOS. The only thing missing was the amazing text copy tool I was using, "Rex" [1]. What a coincidence to see this post on the front page a few hours later!

    Side note, what a breath of fresh air Gnome on Fedora is!

    [1] https://github.com/amebalabs/TRex

  • textinator

    Simple MacOS StatusBar / Menu Bar app to automatically detect text in screenshots

  • 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

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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