Use the free Yi humanizer to break up 01.AI's Yi dictionary-style definitions and over-categorised taxonomies. 5 free runs every 24 hours, no account.
Yi humanizer
Drop in a Yi answer and the app rewrites it so dictionary-style definitions and over-categorised taxonomies loosen into plain explanation, the kind a person gives rather than the kind a reference entry gives. Facts and meaning are meant to survive.
It's a server tool, your text is sent to our AI server to be rewritten rather than processed on your device. You get 5 free runs every rolling 24 hours, no account needed to use any of them.
The tells
These are about definitional habit and structure more than word choice, distinct from the exam-essay scaffolding other models default to.
How it works
Three steps, nothing to configure first.
Scope
The rewrite turns dictionary-style openers into a natural first sentence, collapses an over-categorised taxonomy back to the distinction it needed, and cuts nested sub-definitions and exhaustive lists down to the direct answer.
It doesn't add or remove facts, and it doesn't reorder your points. Names, numbers and quotes stay put. Check the result against your draft before you ship it anywhere that matters.
Why it happens
Yi trains on a large bilingual mix of English and Chinese material with a strong emphasis on formal reference and educational content. That background rewards precision through categorisation, thorough in a reference work and over-engineered in a quick answer.
None of this makes the underlying explanation wrong. It's a structural habit, defining before explaining, categorising before answering, that suits a formal reference audience more than a casual reader.
Straight answer
No, and we're not going to pretend otherwise. We don't test this app against AI detectors and we don't tune the rewrite to beat any of them, so there's no basis to promise what a detector will say afterward.
What it does reliably do is loosen dictionary-style structure into natural explanation. That's worth having on its own, whether or not a detector ever enters the picture.
In practice
Writers and technical teams use it on Yi's longer explanatory answers so a report or a doc gives a direct answer instead of a formal taxonomy of every related concept.
Agencies run client copy through it before nested definitions ship where a quick answer would have worked. Students use it to bring an AI-assisted draft back toward their own voice, governed entirely by whatever their school allows, which is theirs to check, not this app's.
Paste it into the box and press Humanize. The rewrite breaks up dictionary-style definitions and over-categorised structure while keeping your meaning.
Yes, within the allowance: 5 free runs every rolling 24 hours, no account needed and nothing to sign up for.
That's not something we claim. We don't test against detectors or tune output to beat one, so there's no honest basis for that promise.
It's not supposed to. Facts, names and the order of your points survive the rewrite; only structure and openers change.
It's a dictionary-entry convention common in the formal reference material shaping the model's tuning. The humanizer replaces it with a natural opening sentence.
It trains on a lot of formal, well-structured reference content, which rewards precision through categorisation even for simple ideas. The humanizer collapses that back to the actual distinction.
That nesting comes from a reference-entry habit of defining thoroughly rather than explaining directly. The humanizer flattens it into one clear explanation.
It's reaching for exhaustive enumeration as a default, inherited from formal educational and reference material. The humanizer cuts that down to the direct answer.
5, on a rolling 24-hour basis. Each one refills 24 hours after that specific run, not at a fixed time of day.
It's sent to our AI server to be rewritten and returned, and it isn't used to train models. Treat it like any text sent over a network.
Only under your school's own policy on AI-assisted writing tools, which this app doesn't set and can't speak for. Check with them first.
Yes, though longer input takes longer to return. Splitting a long document into sections makes each result easier to check.
The rewrite removes the obvious tells but can't invent your personal voice from nothing. A short manual pass afterward closes that last gap.
The cleaner runs locally and only touches hidden characters and spacing. This tool sends text to our server and rewrites the wording itself.
It can, as part of a full rewrite. For punctuation only, use the dedicated em dash tool instead.
Not reliably, a second pass over already-rewritten text can start reading strangely. One run plus your own edit works better.
It's built and tested mainly for English. Other languages may come out usable, but quality isn't guaranteed to the same standard.
Not yet. Each piece of text runs individually, inside your daily allowance.
You'll see when the next one becomes available. The allowance resets 24 hours after the run that used it up.
Related but distinct: Qwen defaults to a numbered essay structure, while Yi leans toward dictionary-style definitions and categorisation. The humanizer handles each pattern on its own terms.
Yes, the app works fully in any modern mobile browser.