Gltr

Gltr

Identify machine-generated text with visual probability analysis.

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GLTR is a program that analyzes text to determine if it was written by a human or generated by a machine. It evaluates the likelihood of word choices in any given text.

By color-coding the results, GLTR provides a clear visual representation of how probable each word is based on its context. Users can paste any text to see how it ranks against language model predictions. Words that are likely to follow are highlighted in green, while less likely words appear in yellow, red, or purple.

This makes it easier to spot potentially misleading content.

GLTR serves various users, including educators and journalists, who want to verify the authenticity of written material.



  • Detect fake news articles
  • Analyze academic writing authenticity
  • Verify user-generated content
  • Evaluate machine-written reports
  • Spot plagiarism in submissions
  • Assess marketing copy originality
  • Inspect social media posts for authenticity
  • Analyze customer reviews for legitimacy
  • Validate content in educational materials
  • Check for AI-generated essays
  • User-friendly interface for text analysis
  • Visual representation of word probabilities
  • Helps identify fake or generated text
  • Works with any textual input
  • Open-source and publicly accessible


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