Rewrite AI drafts so they read like a person wrote them. Detectors also flag plenty of human writing as machine-made. We fix that, too.
When people say they want to humanize AI text, they mean one of two things: a draft a model wrote that now has to sound like a person, or their own writing, which a detector has already called machine-made. Humanize AI does both jobs.
A registry of 44 tell patterns runs inside your browser, marks every phrase that reads as machine-made, explains each one in a sentence you can argue with, and leaves the rewrite to you. You see the reasoning, not just a number.
What a detector reacts to is not vocabulary. It is rhythm: sentences of near-identical length, three openers in a row built the same way, hedges stacked two deep, transitions that connect nothing. Trading utilize for use moves none of that. Cutting the sentence that was never yours moves all of it.
Two jobs, both done here: make a permitted AI draft read like you wrote it, and show a falsely flagged writer which sentences are doing the damage.
Statistical detectors flag whatever deviates from their training data. The writers they flag most deviate for good reasons.
Second-language writers learn the textbook constructions detectors score as machine-made. Correct grammar reads as low perplexity.
For second-language writers →Formal register and precise, structured phrasing are common autistic writing styles. To a classifier they look like a language model.
Dictation, word prediction and grammar tools smooth text into even patterns. That evenness is exactly what a detector scores as machine-made.
Writers rebuilding language after TBI or stroke tend toward shorter, evenly paced sentences. Low burstiness, high false-positive risk.
The same admissions paragraph, before and after. Same story, same writer, zero tells.
A 44-pattern registry runs in this tab and scores how detectable your text reads. No upload, no account, no queue.
Every trigger is highlighted inline and explained in plain language: tricolons, hedge stacks, dead transitions, uniform rhythm.
Suggestions stay inside your measured style. The point is writing that sounds like you, because it is you.
Export a signed evidence report with local edit history and drafting cadence, for when a percentage gets used against you.
Plenty of employers permit AI drafting. Readers still bounce off machine cadence. Marketers, translators and support teams use Humanize AI to make permitted AI drafts read like a person wrote them.
Flagged humans and flat machine drafts fail the same way: language with nobody home.
The registry ships 41 surface patterns plus 3 whole-document cadence detectors. Every one runs in your browser.
A continuous public audit of commercial AI detectors, run against cohort-labeled human corpora. Reproducible methodology, downloadable data, citable results. Free for accredited researchers and newsrooms. The write-up of who gets flagged, and how often, lives on AI detector false positives.
Detection services keep what you submit to them. The checker here runs in your browser tab instead, and your text is never sent to a detector.
Everything on the site is free right now and needs no account: the score, the tell explanations, the rewrites and the signed evidence export. Nothing is metered. Paid tiers are planned, not live — the pricing page says so and carries a hardship address.
No. The checker is JavaScript running in this browser tab, on your machine. There is no upload step, no draft sitting in a queue. Open your network tab, paste a paragraph, and watch nothing leave. Whatever you paste is also never submitted to a detector — not GPTZero, not Turnitin, not any of them.
Detectors are retrained without notice and disagree with each other on the same paragraph, so nobody can guarantee an outcome on a named one. What this tool gives you is specific: the sentences that read as machine-made, the pattern behind each one, and the reason it triggers. Fix those and the text reads like a person wrote it.
A tell is a specific, nameable pattern that shows up far more often in generated text than in human drafts: the "not X, but Y" pivot, three-item lists in every paragraph, "delve into", "it is worth noting that", hedges stacked two deep. The registry ships 41 surface patterns plus 3 whole-document cadence detectors, 44 in total. Each one is highlighted where it occurs and explained in a sentence you can argue with.
The checker does. Once the page has loaded, scoring, highlighting and the signed export all run without a network connection. Turn on airplane mode mid-session and they keep working.
Policies differ, so read yours and follow it. Humanize AI is built for two situations: drafts where AI assistance is permitted and the writing needs to read like a person, and human writing that a detector has flagged and that now needs defending. For the second case, export a signed evidence report of your own drafting history.
Free checker. No account. Never sent to a detector.