How AI Text Detection Works
AI Text Detector uses multi-signal analysis to estimate whether text was generated by a large language model. Here's a transparent look at our methodology.
Paste Your Text
Submit up to 50,000 characters. an essay, article, report, or any written content. No account needed.
Multi-Signal Analysis
Our models evaluate perplexity, burstiness, vocabulary patterns, and structural markers across your entire text.
Detailed Results
Get an AI probability score, confidence level, and signal-by-signal breakdown. all within seconds.
The signals we analyze
Our detection draws on peer-reviewed research in computational linguistics and natural language processing.
Perplexity Analysis
AI-generated text tends to be highly predictable. each word follows naturally from the last. We measure how "surprised" a language model would be by the text. Human writing is typically more surprising and varied.
Burstiness Detection
Humans write in bursts. mixing short, punchy sentences with long, complex ones. AI tends to produce uniformly structured sentences. We analyze sentence length variance and structural patterns.
Vocabulary Fingerprints
AI models favor certain transitional phrases ("Moreover", "It is important to note"), hedging language, and formal register. We detect these statistical fingerprints across your text.
Structural Patterns
AI-generated text often follows predictable organizational patterns. parallel structures, consistent paragraph lengths, and formulaic introductions and conclusions.
Coherence Mapping
We examine how ideas connect across paragraphs. AI text tends toward surface-level coherence, while human writing shows deeper thematic threading and unexpected connections.
Multi-Model Comparison
We compare text against output patterns from GPT-4, Claude, Gemini, LLaMA, and other major models. ensuring detection works across the AI landscape, not just one tool.
What we get right. and our limitations
Strengths
- ~98% accuracy on unedited AI-generated text
- Works across GPT-4, Claude, Gemini, LLaMA, and Mistral
- Sentence-level signal breakdown
- Best results with 250+ words
- Supports 150+ languages
Limitations
- Short texts (under 50 words) are less reliable
- Heavily paraphrased AI text may score lower
- Some non-native English text can trigger false positives
- No detector is 100% accurate. treat results as one data point
- Technical/formulaic writing may appear more AI-like
Try it yourself
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