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AI Text Cleaner

Instantly Clean & Standardize Your AI Text

Remove invisible characters, weird spacing, and formatting quirks from ChatGPT or LLM outputs.

Cleaning Options

Why Use AI Text Cleaner?

AI-generated text from ChatGPT, Claude, and Gemini routinely contains invisible characters and formatting quirks that cause real problems once you paste them somewhere. Zero-width spaces and word-joiners silently break on-site search and regex. Non-breaking spaces look fine but stop lines wrapping where you expect. Em-dashes and smart quotes signal AI authorship to detectors and break code samples and JSON. Markdown leftovers from a chat window clutter content management systems that don't render them.

These artifacts are everywhere in modern AI output, but they are invisible to your eye and to most editors. AI Text Cleaner spots and strips them in one paste, so the text you ship looks the way you wrote it.

What Makes This Different

Most "AI text cleaner" tools are server-side: you paste, they POST your text somewhere, they email-gate the result. That model is the wrong fit for content you haven't published yet.

  • Runs entirely in your browser. The transforms happen in JavaScript on your device. Nothing is uploaded, logged, or stored. The page works offline once it has loaded.
  • No sign-up, no limits. No account, no email gate, no usage cap, no paid tier. Paste as much text as you want, as often as you want.
  • Every rule is a toggle. See exactly what the tool changed via a side-by-side diff before you copy. Want to keep markdown headings but strip the rest? One click. Settings persist locally so the cleaner remembers your preferences next time.
  • Built and maintained in public. By Gary Meehan, a working developer and the author of the next-seo library. Bug reports and feature requests are read by a human.

How It Works

Each transform is an independent toggle. Run them all, or pick only the ones you need for a specific paste. The defaults are tuned for the most common ChatGPT, Claude, and Gemini pastes, but every artifact has its own checkbox so you can tighten or loosen the cleanup per job.

Remove hidden characters: Eliminates invisible characters like zero-width spaces that can break code and cause formatting issues.

Convert non-breaking spaces: Replaces non-breaking spaces with regular spaces.

Normalize dashes: Converts em-dashes and en-dashes to standard hyphens.

Normalize quotes: Converts curly/smart quotes to straight quotes, which is essential for code compatibility.

Convert ellipsis: Replaces ellipsis character with three dots.

Remove trailing whitespace: Eliminates whitespace at the end of lines.

Remove asterisks (*): Removes all asterisk characters from the text.

Remove markdown headings: Strips markdown heading syntax (# to ######) from the beginning of lines.

Who Is This For?

  • Developers: Clean code snippets from AI assistants before using them in your projects.
  • Writers & Editors: Ensure text is free from hidden formatting before pasting into documents or CMSs.
  • Content Creators: Avoid formatting issues when moving text between different platforms.
  • Anyone using AI tools: Get cleaner, more reliable text from ChatGPT, Claude, or other LLMs.

If you spend any time at all pasting AI output into something — a CMS, a code editor, a doc, a database — the cleanup step here is the difference between text that displays correctly and text that quietly breaks something downstream.

Real Usage, Counted

The counters below are real. Every time someone runs the cleaner in their browser, the page sends an anonymous tally of how many of each character type were removed — no text, no IP, no identifying data — to a counter on the server. The total is what you see here.

It is a rough gauge of how prevalent each artifact actually is in everyday AI output. Hidden Unicode characters and non-breaking spaces dominate, which lines up with what visitors paste in. The em-dash count climbs noticeably faster than other formatting changes, which matches the well-documented ChatGPT em-dash habit.

Global Cleaning Statistics

Last reviewed: June 2026