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Paste Your Text

Submit up to 50,000 characters. an essay, article, report, or any written content. No account needed.

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Multi-Signal Analysis

Our models evaluate perplexity, burstiness, vocabulary patterns, and structural markers across your entire text.

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Detailed Results

Get an AI probability score, confidence level, and signal-by-signal breakdown. all within seconds.

Methodology

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.

Transparency

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

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