This tool detects whether text may have been generated by AI using statistical analysis methods. It analyzes multiple statistical features of the text, including vocabulary diversity, sentence length distribution, word frequency patterns, and more. All analysis is done locally in your browser โ your text is never uploaded to any server.
โข Multi-metric Analysis: Vocabulary diversity (TTR), sentence length variance, high-frequency word ratio, text perplexity estimation, and more
โข Visual Scoring: Intuitive AI probability score with visual metric displays
โข Bilingual Support: Works with both English and Chinese text
โข Real-time Analysis: Instant results, no server response needed
โข Privacy Protection: Pure frontend processing, no data uploads ever
Step 1: Enter text โ Paste or type the text you want to analyze. We recommend at least 100 words (English) or 100 characters (Chinese) for more reliable results. Longer texts yield more accurate analysis.
Step 2: Click detect โ Click the 'Detect' button. The tool will automatically calculate statistical metrics. Analysis runs locally and typically takes 1-2 seconds.
Step 3: Review results โ Check the AI probability score and detailed metric analysis. Higher scores indicate greater likelihood of AI generation. Note: Results are for reference only โ any statistical method can produce false positives.
Education: Teachers can screen student submissions for potential AI-generated content as a supplementary assessment tool. However, detection results should not be the sole basis for judgment โ they should be combined with other evidence.
Content Moderation: Content platforms can batch-detect submissions to identify potentially AI-generated low-quality content, supporting human review workflows.
Academic Research: Researchers can analyze statistical differences between AI-generated and human-written text, studying characteristic patterns of AI text to advance detection technology.
AI Text Detection Principles: Large language models (like GPT, Claude) generate text with certain statistical characteristics: word choices tend toward high-frequency common words, sentence lengths are more uniform, text perplexity is lower, and paragraph structures are more regular. This tool calculates a composite score of these metrics to determine text origin. However, carefully edited AI text or highly structured human writing may lead to misclassification.
Detection Limitations: Statistical methods cannot 100% accurately distinguish AI from human text. Human-edited AI text, highly structured academic writing, and human writing that mimics AI style can all cause false positives. We recommend using detection results as a reference, combined with context and other evidence for comprehensive judgment.
This tool uses statistical text analysis and has good recognition ability for typical AI-generated text. However, any statistical method can produce false positives. Results are for reference only.
It can detect text generated by GPT-4, GPT-3.5, Claude, Gemini, Llama, and other major language models. Detection is based on text statistical features, not specific model signatures.
No. All analysis is done locally in your browser. Your text is never sent to any server.
AI-generated text typically has lower vocabulary diversity, more uniform sentence lengths, tends toward common words, and has lower perplexity. This tool calculates a composite score of these indicators.
Structured, formal writing styles (like academic papers, news reports) may share statistical characteristics with AI-generated text. We recommend combining other factors for comprehensive judgment.