Product snapshot

Generating Text From Colored Images (GT Text) is an open-source utility from SoftOCR. It combines free OCR capabilities with tools for creating ground-truthed datasets from color images, making it easy to capture and reuse text that appears on graphical content.

Capabilities and how it works

  • Uses image-processing algorithms to build ground-truth datasets from colored pictures.
  • Performs optical character recognition to convert detected glyphs into editable text.
  • Carries out pixel-level analysis so users can select or group regions for assembling characters or apply manual edits.
  • Lets you import screenshots, ordinary image files, or scanned pages for processing.
  • Exports files that record the coordinates of each text element and can copy recognized text directly to the system clipboard.
  • Streamlines the workflow so copying colored text becomes faster and less error-prone.

Supported input types

GT Text accepts:

  • Screen captures from any application or window.
  • Standard image formats (JPEG, PNG, BMP, etc.).
  • Scanned documents produced by a flatbed or sheet-fed scanner.

Output, formats and editing options

The app produces a collection of output files that describe where each piece of text sits in the image (useful for annotation and training). Recognized text can also be sent to the clipboard for quick pasting. Pixel-detection tools give you fine-grained control over regions if you want to correct or refine character groupings before exporting.

Benefits

  • Faster capture of text embedded in colored graphics compared with manual transcription.
  • Flexible input and output options suitable for OCR, annotation, and dataset creation.
  • Direct editing of image regions helps improve accuracy when automatic recognition struggles.

Suggested alternative

MeOCR — Image To Text Converter (Free) is a recommended alternative if you want a different free option for converting images to text.

Technical

Title
GT Text
Requirements
  • Windows
Language
English
Available languages
  • English
  • Spanish
  • French
  • Japanese
License
  • Free
Latest update
2018-09-25
Author
SoftOCR
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