Local Watermark CleanupRuns locally

TEXT CLEANUP — LOCAL MODE

ChatGPT Watermark Remover

Paste text, review selected invisible Unicode characters, then clean, copy, or download the result. No account. No upload.

Your text stays in your browser.It is not uploaded to this website or a processing server.
1 Paste text2 Scan3 Clean4 Copy or download

This cleaner targets only U+200B, U+200C, U+200D, U+2060, and U+FEFF. Some can be meaningful in particular writing systems, so review the detected codes before you clean.

Invisible text characters

Current search results for this phrase are mostly text tools that look for hidden Unicode characters in pasted writing. That is the job this page performs locally. It reports and removes only these selected code points: U+200B ZERO WIDTH SPACE, U+200C ZERO WIDTH NON-JOINER, U+200D ZERO WIDTH JOINER, U+2060 WORD JOINER, and U+FEFF ZERO WIDTH NO-BREAK SPACE/BOM.

These code points are not evidence that a text came from ChatGPT. They can have legitimate uses, so the tool shows the codes it found before removal. It does not rewrite language, judge authorship, detect every possible invisible character, or process Word/PDF files directly.

Visible image watermarks

A logo, label, or overlay that you can see in an image is a different type of problem. This text tool does not touch image pixels. For an image you have permission to edit, use the local image cleanup tool: mark the visible area yourself, repair it locally, and export a PNG.

C2PA Content Credentials and SynthID

OpenAI says supported images generated with ChatGPT include C2PA metadata and an invisible SynthID watermark. This page cannot detect, verify, remove, or alter either provenance signal. For supported files, OpenAI provides its own verification route at OpenAI Verify.

How to clean pasted text

  1. Paste the text into the first field.
  2. Select Scan text to see which supported code points were found.
  3. Select Clean selected characters and review the result.
  4. Copy it, or download a .txt file named cleaned-text.txt.

Code point names follow the Unicode Standard. Use the cleaner only when removing those characters is appropriate for your text.