AI Content Detector

Page details

Paste any text for paragraph-level AI detection with probability scores.

AI writing isn't random. A language model picks the most probable next word, which leaves statistical fingerprints — and people don't write that way. One of the clearest tells is burstiness: humans mix short and long sentences, while AI keeps a steadier rhythm.

Illustrative — sentence-length variation is one of several signals, not a measurement of your specific text.

Six signals that tend to separate machine-written from human-written text. None is conclusive on its own — the model weighs them together.

Every scan runs the same four-stage pipeline, powered by GPT-5-mini reading your text sentence by sentence — not a black box, and never a single magic number.

Pasted or typed — analyzed for the scan, not saved to an account.

Every sentence gets an AI-likelihood score from 0 to 100.

Scores roll up to an overall % with a calibrated confidence.

We're honest about what AI detection can and can't do. No detector is perfect — here's the evidence, so you can use results responsibly.

of non-native-English (TOEFL) essays were wrongly flagged as AI by seven popular detectors in a Stanford study — a stark false-positive bias.

of AI text was correctly caught by OpenAI's own classifier — it also false-flagged 9% of human writing, and was retired for its 'low rate of accuracy'.

No detector — including this one — can prove who wrote a text. We show a probability and a confidence level, never a definitive verdict.

Treat the score and confidence as a prompt to look closer — ask the writer, check sources, or request a draft history. Never use any detector as the sole basis for an academic, hiring, or disciplinary decision.

Detection is strongest on longer, standard prose — and weakest on edge cases. Knowing the difference is how you read results responsibly.