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Simple Unmark

Text only · free to try

AI Watermark Remover for Text

Paste your text to remove deterministic hidden characters exactly, then rewrite the phrasing to reduce the statistical token patterns that current text watermarks rely on. Both steps run on every clean.

Original

Local scan runs as you type.

Hidden-character cleanup + wording rewrite

How this works

Deterministic marks can be removed exactly. Probabilistic patterns can only be reduced. Simple Unmark keeps the two separate and does not promise detector outcomes.

  • The first step is deterministic: hidden Unicode controls, zero-width artifacts, tag characters and unusual spaces are removed or normalised, and the count of each is reported back to you.
  • The second step rewrites sentence structure, clause order, transitions and vocabulary while preserving facts, names, numbers, tone and meaning.
  • The two steps solve unrelated problems. Deleting invisible characters cannot affect a token-choice watermark, and rewriting alone leaves copy-paste artifacts in place.

Three steps

  1. 1

    Paste the text you want to clean. A local scan runs in your browser as you type and shows which categories of hidden character it found, before anything is sent anywhere.

  2. 2

    Run the clean. Hidden characters are removed first, then the wording is rewritten with the meaning held steady.

  3. 3

    Compare the result against your original, then copy it. Check numbers, names and quotations before publishing anything that matters.

Worked example

Before

The report[U+200B] shows a 12% rise[U+00A0]in weekly signups.

After

The report shows a 12% rise in weekly signups.

One zero-width space (U+200B) removed and one non-breaking space (U+00A0) normalised to a plain space. The visible wording is untouched by this step; only the invisible layer changed. The rewrite step then changes the wording itself.

Scope

What this page can and cannot do

Can

  • Remove the invisible code points it covers, exactly, and tell you how many of each it found
  • Normalise non-breaking and typographic spaces that break search, validation and formatting
  • Rewrite the passage so its token-choice pattern is no longer the model's original one
  • Show you the before and after so you can judge the result yourself

Cannot

  • Guarantee any particular detector's verdict, now or after that detector changes
  • Prove that a piece of text was or was not written by a person
  • Remove watermarks from images, video, audio or PDFs — this is a text-only tool
  • Preserve wording, because reducing a statistical watermark requires the wording to change

Submitted text and cleaned output are not stored in our application database, and no text is ever sent to analytics. Deterministic inspection on the invisible character remover runs entirely in your browser. See the privacy policy and methodology.

Questions

About ai watermark remover for text

Sources

Can an AI watermark really be removed from text?
It depends on the mechanism. Hidden characters can be removed exactly, because they are literal code points. A statistical watermark is spread across the wording itself, so it can only be reduced by rewriting — and providers describe thorough rewriting as the thing that actually degrades detection. No tool can promise a specific detector outcome.
Does this remove watermarks from images or PDFs?
No. Simple Unmark processes plain text only. Visible logos, image watermarks and document metadata are different problems that need different tools.
Is the first clean free?
Yes. Guests get three free cleans of up to 100 words each with no account. An account adds 10 starter credits and raises the limit to 5,000 words per clean.
Will the meaning change?
The wording changes by design; the meaning is instructed not to. Facts, numbers, proper nouns, tone and intent are preserved, but you should still read the result before using it.

Other cleaners

Need more than three cleans?

Credits cost 0.1 per started 100 words, never expire, and there is no subscription. An account raises the limit to 5,000 words per clean.

See pricing