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AI content detector

Analyze text for AI-generated patterns with confidence scoring, sentence-level highlighting, and humanization tips.

Free & unlimitedWorks offline
0 / 50 words minimum
All processing happens in your browser. No data is sent to any server.

About this tool

  1. 1

    Paste the text to analyze

    Enter the content you want to check - at least 50 words produces the most reliable results.

  2. 2

    Run the detection

    Click Analyze and the tool will score the text on a human-to-AI spectrum.

  3. 3

    Review the results

    See an overall probability score plus sentence-level highlighting showing which passages appear AI-generated.

  4. 4

    Interpret carefully

    Use the score as one data point - no detector is 100% accurate, especially on edited or mixed content.

  • Longer text samples (200+ words) produce significantly more reliable scores.
  • Heavily edited AI text will score closer to human - the detector works best on unedited output.
  • Non-English text may produce less accurate results depending on language.
  • Use this as a screening tool, not a definitive verdict - false positives do occur.
  • Overall human vs. AI probability score
  • Sentence-level highlighting of likely AI-generated passages
  • Confidence indicator showing detection reliability
  • Works on essays, articles, emails, and any prose text
  • No account or sign-up required
  • Screen student submissions for potential AI-generated content
  • Verify that freelance writers are submitting original work
  • Check your own AI-assisted drafts before publishing to gauge detectability
  • Audit marketing copy to ensure a human voice comes through
No detector is perfectly accurate. Expect 85-95% accuracy on unedited AI text and lower accuracy on text that has been manually revised. Always use results as guidance, not proof.
The detector identifies statistical patterns common to most large language models. It does not identify which specific model was used.
Occasionally. Formulaic or highly structured writing (legal boilerplate, technical manuals) can trigger false positives. Review flagged passages in context.

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