Software Alternatives, Accelerators & Startups

Top 9 Image Recognition Products in Screenshot Annotation

The best Image Recognition Products within the Screenshot Annotation category - based on our collection of reviews & verified products.

Capture2text GImageReader Easy Screen OCR dpScreenOCR Screen OCR OpenScan NormCap CaptureText CleanShot

Summary

The top products on this list are Capture2text, GImageReader, and Easy Screen OCR. All products here are categorized as: Software for analyzing and recognizing images and patterns. Tools for capturing and annotating screenshots for communication and documentation purposes. One of the criteria for ordering this list is the number of mentions that products have on reliable external sources. You can suggest additional sources through the form here.
  1. Capture2Text enables users to quickly OCR a portion of the screen using a keyboard shortcut.

    #OCR #Image Recognition #Tool 4 social mentions

  2. gImageReader is a simple Gtk/Qt front-end to the Tesseract OCR Engine.

    #OCR #PDF Tools #Image Recognition

  3. Easy Screen OCR helps users capture screenshot and grab text from images.

    #OCR #Image Recognition #Tool

  4. Program to recognize text on screen
    Pricing:
    • Open Source

    #OCR #Tool #Image Recognition 4 social mentions

  5. Screen OCR is a screen capture and character recognition tool.

    #OCR #Tool #Image Recognition

  6. FOSS Document Scanner

    #Document Scanning #Flutter #Opensource App

  7. NormCap is one of the smart programs that allows optical character recognition, enabling you to mark anything on the desktop to retrieve the text part of it and get it copied to the Windows clipboard.

    #Tool #Word #Screenshots

  8. NOTE: CaptureText has been discontinued.
    How often were you in the situation when you needed to save some data but wasnt able to do it...

    #OCR #Tool #Image Recognition

  9. NOTE: CleanShot has been discontinued.
    Discover a superior way to capture your Mac's screen 🚀

    #OCR #Image Recognition #Data Extraction

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