Use case

Natural rewrites for
ESL & non-native writers.

If English isn't your first language, you may have had your own honest writing flagged as AI. You're not imagining it — research shows AI detectors disproportionately flag non-native English writers. This page explains why, and the honest version of what a humanizer can do about it.

The problem

  • AI detectors flag simpler, lower-perplexity constructions as AI
  • Stanford research found detectors flagged a majority of TOEFL essays by non-native writers as AI
  • Your own writing gets falsely flagged

How Humanizer helps

Humanizer rewrites your text for natural, native-sounding rhythm while preserving your meaning, so the simpler constructions detectors penalize read more naturally. Voice-matching lets you keep it sounding like you, and every rewrite shows a Sapling-based detector score for reassurance that the output reads less like AI.

Where we stand For ESL writers this is about reducing false positives on your own legitimate writing, not deception. You wrote the work; the detector misread it. We frame this honestly: we don't claim to pass any specific detector, their models change constantly, and the score we show is a signal, not a guarantee. The goal is for your genuine writing to be judged fairly.
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Humanize your text.
Right here, right now.

Paste up to 1,500 characters, pick a mode, and get a real rewrite with an AI-detector score. No account, no card.

Or try a sample:
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Humanized — Casual

Your rewrite will appear here.

Free tool runs Claude Haiku, one pass. Pro (app & web) uses the stronger model with a detector-guided retry loop, longer text, and unlimited rewrites.

Humanize free — then get the app

Try the rewriter right here, no signup. Get the native Mac & iPhone app for unlimited rewrites, longer text, and the stronger model.

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FAQ

Questions, answered.

Detectors score how predictable writing is, and non-native English often uses simpler, more common constructions that read as low-perplexity — the same signal models associate with AI. Stanford researchers found detectors flagged a majority of non-native TOEFL essays as AI.
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