Paste the Grok draft into the box above and press humanize. The rewriter goes through every sentence in one pass, so the pivots, three-item lists and stock vocabulary that chat output produces come out together. One run takes 12,000 characters, about 2,000 words, with a 25-word minimum, and costs 1 credit per 50 words. The free tier is 10 credits a day per network, with no account, no card and no email address to verify. Run the checker on what comes back for a 0-100 score and one of three verdicts. The rest of this page covers the habits that show up in Grok output specifically, and how to rewrite each one by hand, because a casual voice hides these constructions from the writer without removing them.
The humanizer takes 12,000 characters per run, roughly 2,000 words. A blog post or a standard essay clears in one pass. A 5,000-word paper takes three runs, so split it at section breaks rather than mid-argument, and humanize 5,000 words walks through that split. The minimum is 25 words and the cost is 1 credit per 50 words.
The checker is separate and costs 1 credit per run whatever the length. It needs 65 words and returns a 0-100 score plus one of three verdicts: reads as AI-generated, borderline, or reads as human-written. Run it before and after a rewrite to see which paragraph was carrying the score.
Several tools alongside it are free and unlimited and spend no credits. There is a proofreader, a word counter, a readability checker, an AI vocabulary checker, a plagiarism and originality check, and a signed drafting record. They all run in your browser. The AI vocabulary checker marks the stock words in your own text and gives the reason each one fired. The full registry, including the structural and rhythm entries, is written out at AI writing tells.
A Grok draft rarely gets caught on one exotic word. It gets caught on a cluster of ordinary constructions arriving together in a short span, and the conversational packaging does not hide them. The registry sorts its entries into six groups: structure, openers, transitions, lexicon, hedges and cadence. Each item below is fixable in a single edit.
These are the ones you will hit first in chat output written in a casual voice:
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. Grok output is an interesting case here. It mixes a four-word punch with a long winding sentence, which answers one rhythm entry and leaves two untouched.
The first is sentence-length variation. The registry flags a passage when lengths vary by less than 0.32 as a coefficient of variation. Human drafts usually land above 0.45. Alternating short and long often clears that threshold on its own, so on a draft in this register the rhythm work is mostly in the other two entries.
Those two are opener repetition and punctuation density. Three or more sentences in a row opening on the same word gets flagged, and conversational output starts sentence after sentence on "And," "But" and "So." The em dash entry fires when a passage carries three or more of them and at least 1.6 per 100 words, and a voice built on asides reaches that quickly. Fix both by starting one sentence on its object and promoting two asides into sentences of their own.
Every fix below follows one of four rules. Keep the positive half of a pivot. Cut the opener and check whether the paragraph still stands, because it almost always does. Replace a rating adjective with the thing at stake. Put a specific where a quantity word sat.
Check first, so you have a baseline number to beat. Then read your draft against the registry at AI writing tells, and run the AI vocabulary checker, which marks each stock word in place with the reason it fired. Some flagged phrases are right in your context, and you should keep those. Then humanize, re-check, and read the result aloud once.
Register is the second pass and the one people skip. A draft written to sound good in a feed and a draft written for an assignment are different documents. Chat output in this style leans on second-person address, jokes that carry a paragraph and asides to the reader. Read the result once as the person who will receive it: an editor, a grader, a hiring manager. Anything that only worked as a post comes out.
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 add yours while you are in there.
On academic use the site takes one line. Rewriting a draft you were permitted 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 itself. Careful formal human writing collects the same tells, and so does anything edited toward a house style.
That matters most for writers who get flagged without ever opening a chat window. Liang et al. at Stanford HAI in 2023 ran TOEFL essays by non-native English speakers through seven detectors, and 61% were falsely flagged as AI. A formal register and a narrow idiom range look, to a classifier, like generated text.
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. It exports a signed file, ECDSA P-256, that anyone can check at verify a report without contacting us.
We make no claim about what any other detector will output. What the humanizer does is rewrite every sentence and take out the constructions in our tell registry. Run our checker on the result and read the score yourself.
Because a detector reads structure, not tone. The jokes sit on top of the same negation pivots, three-item lists, rhetorical question pivots and consultant vocabulary that formal chat output produces. A conversational draft also runs into the opener repetition and em dash density entries, because sentences starting on And, But and So, and asides set off with dashes, are part of that voice.
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.
Yes. The registry matches on phrasing rather than on the source, so the same entries fire on output from ChatGPT, Claude, Gemini, Copilot or anything else. Chat models share most of these habits.
The humanizer needs 25 words and the checker needs 65. Below that there is not enough text to read.