AI Text Detector
Paste any text to analyze it for AI-generated patterns
How AI Text Detection Works
AI text detection analyzes statistical patterns in writing to determine whether content was generated by AI models like ChatGPT, Claude, or Gemini. Our detector examines perplexity (how predictable the text is), burstiness (variation in sentence length), vocabulary richness, and repetition patterns. AI-generated text tends to be more uniform and predictable than human writing.
Understanding the Results
The AI probability score represents how likely the text is to be AI-generated. Scores above 70% suggest AI authorship, while scores below 45% suggest human writing. Scores between 45-70% indicate mixed or uncertain content, which could be AI-edited human text or vice versa.
- Perplexity: Lower values suggest more predictable (AI-like) text
- Burstiness: Human text typically has higher burstiness with varied sentence lengths
- Vocabulary Richness: Ratio of unique words to total words
- Repetition Score: Higher values indicate more repetitive patterns
Tips for Best Results
- Provide at least 100 words for more accurate analysis
- Longer texts produce higher confidence scores
- Results work best with English prose text
- Code, lists, and technical content may produce less reliable results
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Frequently Asked Questions
How accurate is the AI text detector?
Our detector analyzes statistical patterns like perplexity, burstiness, and vocabulary richness to estimate AI probability. Accuracy improves with longer text samples (200+ words). No AI detector is 100% accurate — results should be treated as one data point rather than definitive proof. Heavily edited AI text or highly formulaic human writing can produce misleading scores.
Can this detect text from ChatGPT, Claude, and Gemini?
Yes, the detector analyzes patterns common to all major large language models including ChatGPT (GPT-4), Claude, Gemini, Copilot, and DeepSeek. Each model produces text with characteristic statistical fingerprints such as uniform sentence length, predictable word choices, and lower burstiness compared to human writing.
What does the perplexity score mean?
Perplexity measures how predictable or surprising the text is. AI-generated text tends to have low perplexity because language models choose statistically likely word sequences. Human writing typically has higher perplexity due to creative word choices, idioms, and unexpected sentence structures. A low perplexity score alone does not confirm AI authorship — technical or formulaic writing can also score low.
Why does my human-written text show as "AI generated"?
False positives can occur with highly formal, academic, or technical writing that naturally resembles AI output patterns. Texts with uniform sentence length, limited vocabulary, or heavy use of passive voice may trigger higher AI probability scores. Try analyzing a longer sample for more reliable results, and remember that the score represents probability, not certainty.
Does the detector work with non-English text?
The current analysis algorithms are optimized for English prose. While you can paste text in other languages, the perplexity, vocabulary richness, and burstiness metrics are calibrated against English writing patterns. Results for non-English text may be less reliable. We recommend using at least 100 words of English text for the most accurate analysis.
Is my text stored or shared when I use this tool?
No. All text analysis is performed entirely in your browser using client-side JavaScript. Your text is never sent to any server, stored in any database, or shared with third parties. You can verify this by using the tool offline after the page has loaded.