Paste the ChatGPT draft into the box below and press humanize, and every sentence comes back rewritten in a single pass. The rewriter takes up to 12,000 characters, roughly 2,000 words, per run, and it costs one credit for every fifty words. The checker is a separate tool: it needs at least 65 words, costs one credit whatever the length, and returns a score from 0 to 100 with one of three verdicts, reads as AI-generated, borderline, or reads as human-written, in a few seconds. The free allowance is ten credits a day per network, with no account, no card and no email address to verify. If you want to see what is wrong before you change anything, run the check first, then read the sentences the registry highlights, then rewrite. The rest of this page covers the habits that show up in ChatGPT output specifically: the register built on words like "delve" and "leverage", the sentences that open on "Moreover", and the pivot constructions that announce an idea instead of making it. Each one is named here, and each one takes a single edit to fix. No honest tool can promise what some other service will say about the result, but you will be able to read the change yourself: a score before, a score after, and the exact phrases that moved between them.
The humanizer accepts 12,000 characters per run, roughly 2,000 words, with a minimum of 25 words. A blog post or a standard essay clears in a single pass. A 5,000-word paper takes three runs, so split it at section breaks rather than mid-argument, and the humanize 5,000 words page walks through that split in detail. A 1,000-word draft fits in one run with room to spare, which is the arithmetic behind the 1,000 words page.
The checker is separate and costs one credit per run whatever the length. It needs 65 words and returns in seconds with a 0 to 100 score and one of three verdicts: reads as AI-generated, borderline, or reads as human-written. Run it before and after a rewrite so you can see which paragraph was carrying the score.
Several tools sit alongside these and are free and unlimited, and none of them spends a credit. There is a proofreader, a word counter, a readability checker, an AI vocabulary checker, a plagiarism and originality check, and a signed drafting record. The registry of 44 named AI writing tells lists the full set of entries, sorted into six groups: structure, openers, transitions, lexicon, hedges and cadence.
A ChatGPT draft rarely gets caught on one exotic word. It gets caught on a cluster of ordinary constructions that arrive together in a short span, and the register is consistent enough that a reader starts to hear it. ChatGPT output reaches for words like "delve" and "leverage" where a plainer verb would do, and it opens sentences on "Moreover" when the previous sentence already made the connection. Everything below is a real entry in the registry, and each one is fixable in a single edit.
These are the groups you will hit first in chat output:
Swap every flagged word and a draft can still read as machine-made, because part of the giveaway is the shape of the sentences rather than the vocabulary. Chat output tends to hold one sentence length for a whole paragraph, and a flat length distribution is what the cadence entries in the registry measure.
The fix is mechanical. Cut one sentence into two, then let the next run long. A four-word sentence in the middle of a paragraph does more for the reading than any synonym swap, because it breaks the pattern that a score responds to.
Two other rhythm tells are worth a pass. Em dashes are flagged when a passage carries three or more of them, and commas and full stops do the same work. Three sentences in a row opening on the same word is the other, and the repair is to start one of them on the object.
Every fix below follows one of four rules. Keep the positive half of a pivot. Cut a connective and check whether the paragraph still holds, because it almost always does. Replace a rating adjective with the thing at stake. Put a specific where a quantity word sat. The before versions are written in the house register, and the after versions are the kind of sentence a person actually writes.
Read them as pairs. The after version keeps the claim and drops the furniture around it. If your own rewrite still sounds like the before version, the registry entry it matches is probably still sitting in the text, so run the highlight again.
Check first, so you have a baseline number to beat. Then paste the same text into the tell registry, which highlights each phrase in place with the reason it was flagged. Some flagged phrases are right in your context, and you should keep those. Then humanize, re-check, and read the result aloud once. Anything you stumble over is a sentence you would not have written.
A rewrite does not check facts. Any name, date, number or citation that came out of the chat window still needs checking against a source, and models produce citations that look right and do not exist. One specific that only you know also does more for a paragraph than any amount of rephrasing, so put yours in while you are there. For the record of the work, write in the editor rather than pasting a finished draft, and the session gets logged as you go.
On academic use the site takes one line. Rewriting a draft you were allowed to generate is ordinary editing. Where AI is not permitted, that rule covers the draft however it is edited afterwards. Read the policy that applies to you.
A detection score measures how machine-made a piece of text reads. It does not measure who wrote it, because the only evidence in the file is the prose. Careful formal human writing collects the same tells, and so does anything edited toward a house style. The score page walks through the number in detail, and the difference between detection and plagiarism is covered at AI detection versus plagiarism.
That matters most for writers who get flagged without touching a chat window. Liang and colleagues at Stanford HAI found in 2023 that 61% of TOEFL essays written by non-native English speakers were falsely flagged as AI across seven detectors. Formal register and a narrow idiom range look, to a classifier, like generated text, and the ESL writers page covers that situation directly.
If you wrote the piece yourself and expect to be questioned, the signed drafting record is free and unlimited. It records the session as you write, including timestamps, how much you cut and whether anything large arrived in a single paste, and it exports a file signed with ECDSA P-256 that anyone can check without an account and without contacting us. If an accusation has already landed, the falsely accused page covers what to do next.
We make no claim about what any other detector will output, because no test we have run would support one. What the humanizer does is rewrite every sentence and remove the constructions in our registry of 44 tells. Run our checker on the result and read the score yourself, before and after.
12,000 characters per run, about 2,000 words. For anything longer, split at a section break and run the parts separately so each run works on one argument instead of a whole paper.
No. The free tier is 10 credits a day per network with no login, no card and no email address to verify. The humanizer costs 1 credit per 50 words, and the checker costs 1 credit per run at any length. The full price list is on the pricing page.
Yes. The registry matches on phrasing rather than on the source, so the same entries fire on output from Claude, Gemini, Grok, DeepSeek or anything else. Chat models share most of these habits, which is why the sibling pages for Claude, Gemini, Grok and DeepSeek describe the same fixes from the other side.
That happens, and it is not evidence that you did anything. These tells are common in careful formal writing and in anything edited toward a house style. Use the tell registry to see which phrases drive the score, and read the wrongly accused page if somebody has already drawn a conclusion.