AI Text Humanizer

AI Text Humanizer

Strips stock phrases from English and Chinese text in your browser, leaving code, paths, numbers and quoted text alone. For writers who want a cleaner draft with nothing uploaded.

Made by fendouai on Hugging Face. These notes are Mindket's, written from its Space page and README; the app's own files and license are on Hugging Face.

About

What it is: AI Text Humanizer is a small rule editor that strips stock phrases from English and Chinese text. Fendouai made it as a personal project. It runs entirely in your browser, with no backend and no upload.

It leaves code, web addresses, file paths, numbers with units and quoted text untouched. The list of edits is short on purpose. It removes known template phrases instead of rewriting sentences, and it reports which phrases it changed.

Who it suits: It suits writers and editors who want stock phrases out of a draft without handing the text to a service. It works on English and Chinese, and it keeps code and quoted lines intact, so it also fits technical writing.

Industry | Who uses it | How they use it | Example
Content and marketing | Writers and editors | Clean stock phrases out of a draft before it goes out | Paste a paragraph, pick Natural and read the list of changed phrases
Technical writing | Documentation writers | Tidy prose that mixes in commands, paths and numbers with units | A paragraph holding a command keeps the command exactly as written
Bilingual teams | English and Chinese writers | Clean drafts in either language in one place | Pick Concise to drop intensifiers in Chinese text too
Business writing | Anyone writing formal text | Move casual wording toward a formal tone | Pick Professional to turn "a lot of" into "many"

You can skip it if you want a full rewrite or a language model. It is neither.

Where to use it:

• A browser: this Lite build runs in the page, with its fixed rule list
• A separate Pro build on the Lynote site, with longer input, more languages and tuned T5 checkpoints
• The open humanize-text project: where the rules were ported from

Use case | Who | What they get back
Clean a draft | Writers | The text with template phrases removed, and a list of the changes
Tighten wording | Editors | Concise voice also drops intensifiers such as highly and extremely
Formal tone | Business writers | Professional voice replaces "a lot of" with "many" and exchanges casual Chinese phrasing for formal phrasing

How to use it: Paste text of up to 2,000 characters, pick a voice and read the edit list. Each voice adds one rule on top of the basic cleanup.

Tool | What it does
Natural | Removes clichés and tidies whitespace, nothing more
Concise | Does the Natural cleanup and also drops intensifiers such as highly and extremely, plus their Chinese equivalents
Professional | Also replaces "a lot of" with "many" and exchanges casual Chinese phrasing for formal phrasing

Example: Paste a paragraph that opens with a stock phrase and pick Concise. The result drops the template phrase and any intensifiers, leaves code and quoted text exactly as they were, and lists each phrase it changed.

For newcomers and experts: Start with Natural on a short paragraph you wrote yourself. Compare the result with your draft and read the edit list to see what the rules caught.

Underneath, it is a fixed list of rules that were moved into the browser and live in app.js. Protected spans such as code, web addresses, paths, numbers with units and quoted text are never edited. Because it matches known template phrases only, it leaves other wording alone. The T5 checkpoints are a heavier, separate piece that this page does not load.

Paste text, up to 2,000 characters
Protect code, paths, numbers and quotes
Apply the fixed rules for the chosen voice
Show the cleaned text and the changed phrases

Good to know:

• Input is limited to 2,000 characters.
• It is not a rewrite. It adds no style the draft does not already have.
• It is not a bypass. Detectors give probabilities, so no rule set can promise how a text will be classified.
• It is a writing-quality aid. The author asks you not to use it to present generated text as your own work in school, legal or disciplinary settings.
• License: MIT.

On Hugging Face, 6 November 2026

• Likes: 213
• Built with: static
• License: mit

Links

• Space: https://huggingface.co/spaces/fendouai/free-ai-humanizer
• Files: https://huggingface.co/spaces/fendouai/free-ai-humanizer/tree/main

Try it

Open the Space in your browser, or copy it to your own Hugging Face account from its page. Nothing in this kit runs by itself.