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🔬 100% In-RAM Lexical Forensics • Burstiness & Entropy Engine • Zero Cloud Logs

AI Generated vs Organic Text Auditor

Audit articles, essays, and reviews for synthetic uniformity. Calculate sentence burstiness variance, lexical entropy, and identify hallmark LLM clichés.

Text / Document to Audit
Presets: | |
0 words • 0 sentences
Statistical Text Pattern Verdict
Awaiting Document Input
Synthetic Uniformity: N/A

Paste text above to evaluate sentence length burstiness, vocabulary entropy, and scan for known LLM transition clichés.

📊 Burstiness (Variance) 0.0
🔠 Lexical Diversity (TTR) 0%
🤖 LLM Clichés 0
📏 Avg Sentence Length 0 words
Detected LLM Clichés & Hedging 0 Clichés Found
No synthetic clichés detected yet.
Sentence Length Rhythm (Burstiness) Rhythm Spectrum
Sentence rhythm metrics will display here.
Metric: Type-Token Ratio & Gaussian Variance 100% In-RAM

Statistical Fingerprints: Organic Human vs. LLM Writing

How statistical variance differentiates human prose from machine generation.

Forensic Metric Organic Human Prose Synthetic / AI Generation
Burstiness Variance High standard deviation. Mix of 3-word fragments and 35-word thoughts. Low standard deviation. Uniform sentences averaging 15–22 words.
Transition Vocabulary Contextual, informal, and varied transitions. Overuse of "Furthermore", "Delve", "Tapestry", "Crucial role".
Hedging & Neutrality Direct assertions with personal voice and idiosyncratic style. Repetitive disclaimers ("It is important to remember that...").

The Mathematical Reality of AI Writing Detection

Large Language Models (LLMs) generate text by predicting the next most statistically probable token given the preceding context. Because they prioritize mathematical optimality, AI prose inherently favors moderate sentence lengths, standard syntax structures, and predictable transition markers.

1. Understanding Burstiness and Lexical Entropy

Human writers naturally communicate with high burstiness. We write in bursts: a short punchy statement followed by an elaborate descriptive observation. In contrast, machine learning models exhibit synthetic uniformity, producing sentences with low variance in length and high structural repetition.

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Frequently Asked Questions

Can AI text detectors be 100% definitive?

No automated tool can provide 100% certainty. This utility provides deterministic statistical analysis (burstiness standard deviation and lexical diversity) to assist human judgment.

Is my submitted essay or draft sent to external servers?

Never. All tokenization, standard deviation calculations, and n-gram evaluations execute 100% locally in your device's browser memory (RAM).