Sound like you wrote it.
Not like a chatbot did.
Most humanizers shuffle synonyms until a detector shrugs, and hand back worse English than you started with. ReadsHuman edits instead. It strikes the phrases that give AI away, names the pattern behind every cut, and keeps every fact you wrote.
500 words free with no account · 2,000 a month when you sign up
Let's dive into what makes a great onboarding flow. Onboarding is not just a series of screens — it's the moment a user decides whether to stay. In today's competitive landscape, the first five minutes serve as the strongest predictor of week-four retention. That's the real win.
A lower detector score is not better writing.
Detector-first tools work by making text statistically odd. They swap common words for rare ones and bend sentences until the score drops. It works on the classifier. It also produces the stilted, slightly-off prose that any human reader clocks in a sentence.
Here is a leading humanizer’s own before-and-after, taken from its homepage. This is the half it is proud of.
“Writing machines using large-scale language models have shown significant improvements and efficiency in generating texts within different fields…”
Rarer words, longer clauses, worse English.
“Large language models write faster than people, and in most fields the drafts are usable. They still read like drafts.”
Shorter, plainer, and it still says the same thing.
Don’t chase the detector. Fix the writing, and the detector stops mattering.
Every pattern ReadsHuman looks for is a form of the same habit: a model picks whatever fits the widest range of readers. A person picks for one reader. Remove the default choices and what is left reads like a person, because it is what a person would have written.
Three steps. One clean draft.
Paste the draft
Straight out of ChatGPT, Claude, Gemini, or your own half-finished document. Nothing to install.
ReadsHuman marks it
Every tell gets found and ranked, strongest first, against twenty-five documented patterns.
You see the reasons
The rewrite comes back with each cut listed and named, so you can overrule any of them.
Twenty-five patterns, ranked by how much they give you away.
The first five justify a cut on one sighting. The weaker ones only count when several show up together, because a careful writer might use any one on purpose. Read all twenty-five.
- #01
Not X but Y
“It's not just a tool, it's a statement.”
- #02
One-line closers
“That's the real win.”
- #03
Sayings that sound deep
“At its core, what matters is…”
- #04
Staged run-up
“Let's dive in.”
- #05
Arguing with no one
“Don't get me wrong…”
- #06
Forced triads
“innovation, inspiration, insight”
- #12
Overused AI words
“delve · testament · landscape”
- #13
Inflated significance
“marking a pivotal moment”
- #17
Borrowed authority
“Experts believe…”
- #19
Bold as decoration
“**Performance:** performance improved”
- #22
Chatbot residue
“Great question! I hope this helps.”
- #25
Writing about the last version
“This replaces the previous approach…”
Built fact-safe.
Never invents a fact. Ever.
No name, number, date, quote, or citation appears in the rewrite unless it was in your draft. If a sentence needs a detail that is missing, it writes a simpler sentence instead of filling the gap.
Your draft is not training data.
Drafts are stored against your account so you can reopen them, and deleted the moment you say so. Signed out, nothing is written down at all.
Code, links, and citations stay put.
Only prose is edited. Code blocks, commands, paths, link targets, and reference lists come back exactly as they went in.
Every cut is yours to overrule.
Nothing is hidden behind a score. You get the phrase that was removed, the pattern it matched, and the reason, in one sentence.
An essay and a LinkedIn post fail in different ways.
So they get edited differently. A mode changes the voice the rewrite aims for, never the facts it is allowed to keep.
Essay
Coursework, applications, research prose
LinkedIn post
Short posts, updates, announcements
Script
Video, podcast, voiceover
Article
Blog posts, newsletters, docs
Outreach, replies, internal notes
Paste two or three paragraphs of your own writing alongside the draft and the rewrite follows your rhythm, your punctuation, and your habits instead, including the dashes if you use them.
Priced per word, capped honestly.
No unlimited plan, because nobody can offer one at this quality and mean it. You get a number, and the number is real.
Free
no card, no expiry
2,000 words a month
- ·Every mode
- ·The full marks panel
- ·Ten drafts of history
- ·One voice profile
Writer
$90 billed yearly
30,000 words a month
- ·Everything in Free
- ·Five voice profiles
- ·3,000-word drafts
- ·Full draft history
Studio
$240 billed yearly
100,000 words a month
- ·Everything in Writer
- ·Twenty voice profiles
- ·6,000-word drafts
Prices include tax where it applies. Charged in US dollars; switch above if your card is in the other currency.
The things worth asking first.
What does an AI humanizer actually do?
Most of them paraphrase: they swap words for synonyms until the text no longer matches the original, which usually makes it read worse. ReadsHuman edits instead. It looks for the specific habits that make writing sound machine-generated — the not-X-but-Y sentence, the rule-of-three list, the hollow significance close — removes them, and shows you which one it found in each spot and why it cut it.
Will this make my text undetectable by AI detectors?
No tool can promise that, and any tool that does is lying to you. AI detectors are probabilistic and they disagree with each other constantly, including on writing that a person wrote unaided. What ReadsHuman does is remove the mechanical patterns that make a draft read as machine-written to a human being. Detector scores usually fall as a side effect, but the goal is prose a reader believes, not a number on a dashboard.
Which patterns does it look for?
Twenty-five of them, taken from Wikipedia's documented signs of AI writing — the catalogue its editors built while reviewing machine-generated submissions at scale. They cover sentence formulas, vocabulary tells, punctuation habits, section padding, and chatbot residue. Every one has its own page here with real before-and-after examples.
Does it change my facts, names, or numbers?
No. The editor is only allowed to change how something is said, never what is said. Names, figures, dates, citations, and quotes pass through untouched. This is the difference that matters for students and anyone writing about real events: a paraphraser that invents a plausible-sounding statistic has created a much bigger problem than the one it solved.
Is it free to try?
Yes, and without an account. You get 500 words a day anonymously, and the tell checker and em dash remover are free and unlimited because they run entirely in your browser — nothing you paste into them is ever uploaded. A free account raises the editor to 2,000 words a month.
Can it match how I write?
Paste two or three paragraphs of your own writing as a voice sample and the rewrite follows your rhythm, your sentence lengths, and your punctuation habits — including em dashes, if you actually use them. Without a sample it aims for clean, plain prose in whichever mode you pick.
Is it safe to use for university work?
That depends on your institution, and you should check its policy before using any writing tool. ReadsHuman edits prose you have already written rather than generating new content, which most academic-integrity policies treat differently from having a chatbot write an essay for you. It is your work and your call — we show you every change so you can judge each one.
Paste something you were about to publish.
You will see the marks before you decide anything.
Open the editor