AI Text Detector

Estimate the probability of AI-generated text. 3-layer ensemble: 18 heuristic metrics, 35 statistical features, and an MLP neural model.

100+ words recommended for the most accurate result.

Enter a page URL — text will be automatically extracted for analysis

AI text detector — 3-level ensemble

Free AI detector with 3-level ensemble: 18 heuristic metrics (entropy, burstiness, stylometry), 35-feature logistic regression, and MLP neural network. Determines AI-generated content probability.

18 heuristic metrics: entropy, burstiness, stylometry, perplexity
35-feature statistical detector (logistic regression)
MLP neural detector (pure Python, 54 KB weights)
Sentence-by-sentence and mixed content analysis
25 language support
100% offline — text never leaves the server

How to Use

  1. Paste text to check or enter a page URL
  2. Click "Check" and wait for the analysis
  3. Review overall AI percentage and paragraph breakdown

FAQ

The tool uses 13 metrics: text entropy, vocabulary uniqueness, punctuation patterns, sentence length, n-gram repetitions and more. The ensemble approach provides more accurate results than single methods.

No detector provides 100% accuracy. The result is a probability. Texts heavily edited by humans after generation may be classified as human-written.

Google fights mass low-quality AI content. Unique, useful content is not penalized, but automatically generated spam may lead to ranking demotion.
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How does the AI detector work?

The AI detector analyzes text using 13 independent statistical metrics: AI text patterns, burstiness (sentence length diversity), word entropy, stylometry, coherence, Zipf's law and others. An ensemble classifier combines results for maximum accuracy.

Analysis is fully local — your text is not sent to external servers. No neural networks, only algorithmic analysis.