AI Detector — Instant Heuristic Read on Any Text

A heuristic read, honestly labeled

This is a statistical reading, not a verdict. It measures the signals that AI detection research has focused on: burstiness (how much sentence length varies — humans vary a lot), repetition of stock phrases and transitions, uniformity of sentence openings, and vocabulary predictability. You get a score plus the specific signals found, so you can judge the text yourself.

Because it runs entirely in your browser — the analysis is plain math on the text you paste — nothing leaves your device, and results appear instantly with no usage cap.

No detector, including paid ones, reliably identifies AI text. False positives against wholly human writing are documented, and skilled human writers who write in steady, uniform rhythm can score as machine-like. Treat this tool as one input among several, never as proof.

Common uses

• Check whether your edited draft still reads machine-like·
• Compare two versions of the same passage before publishing·
• Sanity-check a guest post or freelancer submission·
• See which specific patterns push text toward the machine pole·
• Test whether your humanize passes actually changed the statistics·

The signals behind the score

Burstiness: human writing mixes 4-word sentences with 30-word sentences; machine text drifts toward the middle. Stock phrases: certain transitions and openers appear far more often in AI drafts (the tool checks a curated list and its frequency). Opening uniformity: sentences that start the same way, paragraph after paragraph, push the score toward machine. Lexical predictability: common-word ratios that flatten out in generated text.

What a high machine score does and does not mean

It means the statistical patterns resemble machine-generated text. It does not mean the text was generated by a machine — heavily edited AI text, non-native English writing with formal training, and bureaucratic prose can all score high while being legitimate. Use the score to decide where to revise, not to accuse.

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