Paste your text below to check if AI detectors will flag it. If it is, humanize it instantly with ToHuman.
Paste at least 50 characters and 2 sentences for an accurate analysis. Longer text = more accurate score.
AI Detection Risk
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detection score
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ToHuman rewrites text at the sentence-structure level, eliminating the patterns AI detectors look for. Free during launch — no signup needed for the first 700 characters.
Real AI detectors score text on the same kinds of linguistic patterns this checker measures. Burstiness, vocabulary diversity, transition phrases, and passive-voice usage are the bread and butter of every commercial detector — including the ones used by universities. We don't send your text anywhere; the analysis runs as JavaScript on this page.
Sentence-length variance. Humans burst between short and long; AI is uniform.
Type-token ratio. Low diversity = AI; humans substitute words naturally.
Counts known LLM tells like 'leverage', 'delve', 'tapestry', 'pivotal'.
'Moreover', 'Furthermore', 'It is important to note' — classic AI starters.
'May', 'might', 'could' — AI hedges far more than human writers do.
AI defaults to passive constructions where humans use active verbs.
Humans use them, AI strips them. Low contraction count is a strong signal.
Repeated first words across sentences — formulaic, machine-like rhythm.
AI detectors are pattern-matchers, not lie detectors. They score text on the same linguistic signals this checker uses — and they get it wrong, often. Independent research published in 2026 found false-positive rates of up to 61% for non-native English speakers, and 15–26% for native speakers depending on the tool.
That's why over 25 universities — including MIT, Yale, NYU, UC Berkeley, and Johns Hopkins — have banned or restricted AI detection in undergraduate courses. UCLA refused to adopt Turnitin AI detection at all.
What this means for you: a HIGH score on this checker doesn't mean your text is AI-generated — it means a real detector will probably think it is. That's enough to get a student flagged or a piece of content rejected. The fix is the same either way: humanize the text so the patterns disappear.
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