AI Content Detector & Linguistic Analyzer

Evaluate linguistic burstiness, sentence length variance, vocabulary entropy, and transition markers to calculate an estimated AI content likelihood score.

⚠️ Statistical Heuristic Disclaimer: This is a statistical heuristic analysis, not a definitive AI detector. AI detection results can be inaccurate, especially after editing, paraphrasing, translation, or mixed human/AI writing. All calculations run 100% locally in your browser memory without external APIs.
Words: 0 Characters: 0 Sentences: 0 Paragraphs: 0

How Heuristic AI Linguistic Detection Works

1. Sentence Burstiness & Variance

Human writing exhibits natural rhythm: very short punchy sentences interspersed with complex compound clauses. AI models tend to produce uniform sentence lengths (averaging 15–20 words).

2. Lexical Diversity (TTR)

Type-Token Ratio measures how many distinct unique words appear relative to total text length. Highly repetitive phrasing flags formulaic synthesis.

3. AI Discourse Markers

Unassisted LLMs frequently rely on characteristic transitional clichés such as "Moreover", "Furthermore", "In conclusion", "A testament to", and "Delve into".

Frequently Asked Questions

No. No AI detector in the world can definitively guarantee whether text was authored by AI or a human. Professional human authors writing technical manuals often write with high formality, while edited AI text can mimic human variance. This tool provides mathematical heuristic estimates only.

No. All tokenization, standard deviation calculations, and heuristic evaluations run 100% client-side in your local browser memory. Your drafts are never uploaded or stored remotely.

We recommend submitting at least 50 to 150 words (2–3 full paragraphs). Very short snippets lack enough sentence samples to compute reliable standard deviation and lexical diversity statistics.

Incorporate varied sentence lengths (blend 5-word statements with longer explanatory sentences), utilize natural conversational contractions (such as it's, don't), and reduce repetitive formal connectors (like Furthermore and Moreover).

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