Humanize AI text

Make Claude
output read like you.

Claude produces some of the most natural-sounding AI prose available — which is exactly why people are surprised when it still gets flagged. Here's the honest version of why that happens and how to make Claude text read like you, not a model.

Why Claude text gets flagged

Claude's writing is fluent and well-structured, but fluency isn't the same as human variability. Detectors don't grade quality — they measure predictability and rhythm. Claude tends toward balanced, coherent paragraphs with consistent register and tidy transitions, and that consistency is what a detector reads as machine-generated. A passage can be genuinely good and still score high simply because it's too even.

How to humanize Claude text

Humanizer rewrites Claude output to introduce the uneven cadence real writing has — varied sentence lengths, the occasional fragment, concrete specifics in place of smooth generalities. Its "Sound like me" personas match the result to how you write from a few samples. It's a native Mac and iPhone app that works from the Share Sheet, Services menu, Spotlight, and Siri, and it shows a Sapling-based AI-detector score on every rewrite so the effect is visible rather than assumed.

Where we stand We won't pretend Humanizer makes Claude text "undetectable." Detection is probabilistic, detector models shift week to week, and no tool can guarantee passing one. What it does is rework the rhythm and phrasing detectors key on while keeping your meaning, and let you steer toward your own voice. If AI use is restricted where you're submitting, that rule still applies to you.

What a rewrite actually looks like

Here's the same Claude paragraph before and after Humanizer — the rhythm, structure, and word choice change, not just a few swapped synonyms. The percentage is Sapling's AI-likelihood estimate, shown on every rewrite. It's a signal, not a guarantee against any detector.

Before/after on a sample paragraph. Scores are Sapling estimates and will vary by text — Humanizer never promises a clean pass on any detector.
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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.

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FAQ

Claude questions, answered.

They can flag it. Detectors score predictability and rhythm rather than identifying a specific model, and Claude's even, fluent style often lands in the flagged range. Accuracy varies and false positives occur, so read any score as a signal.