Claude watermark remover
Paste a text written or touched by Claude and remove the Claude watermark from it, meaning intact: a Claude text watermark remover that shows the score before and after, not a green tick.
Founder pricing for the first 500. No spam, one email at launch.
- Since August 11, 2026 (announcement) Claude output carries a statistical watermark: biased word choices, no hidden characters.
- Applies worldwide to Claude models launched on or after August 2, 2026 (app, Claude Code, Cowork, API); older models being added.
- Survives copy-paste and light edits; deep paraphrase, translation and very short texts weaken it.
- The tool rewrites with an unmarked model, checks meaning sentence by sentence, shows the score before and after.
- Planned prices: Free 3 texts/day, Pro $9/month ($5 founder), API $0.50 per 10k words. Pre-launch, waitlist open.
Paste, rewrite, verify.
Paste
Drop in the text, Markdown or HTML. You get a before score: how likely the text is to carry Claude's statistical watermark, and how strongly.
Rewrite
The engine re-samples the wording with a model that carries no watermark, then checks every sentence against the original for meaning, entities, numbers and quotes.
Verify
You see the after score, a diff of every change and your formatting intact. Copy, download or call the same engine through the API.
What the Claude watermark remover removes
Since August 2026, every text produced by a Claude model released on or after August 2, 2026 carries a statistical watermark. Anthropic announced it on August 11, 2026 and framed it as a transparency measure driven by article 50 of the EU AI Act. The mark is not a hidden character, a Unicode trick or a piece of metadata. It is a bias in the way words are chosen: at many points in the text, Claude picks among near-equivalent words according to a secret key, so that a detector holding the same key can compute a score and say "this text was probably written, or touched, by Claude".
The Claude Watermark Remover is the Unmarker engine tuned for that exact mark. You paste a text, the tool estimates how strongly it is marked, rewrites it with a model that carries no watermark, and shows the after score next to the before score. The output keeps your meaning, your entities, your numbers, your quotes and your Markdown or HTML formatting. It does not shorten, summarise or "improve" your text unless you ask for the optional humanize mode.
Why deleting characters or editing a few words does nothing
Most "watermark remover" tools you will find were built for images or for invisible Unicode characters. Neither approach touches Claude's mark, for a simple reason: the mark lives in the words themselves. Anthropic states that the watermark travels with copy-paste and can survive light editing. Fixing a typo, swapping a synonym here and there or changing the paragraph order leaves most of the marked word choices in place, so the score barely moves.
What actually lowers the score is re-sampling the wording, sentence by sentence, with a model that was never marked. That is what a deep paraphrase does, and it is exactly the operation Unmarker automates while checking that nothing you meant got lost on the way. Our guide on removing the Claude watermark compares manual rewriting, generic paraphrasers and translation round-trips in detail.
How the tool works, step by step
- Before score. The input is analysed for the statistical signature of a watermark. You get a probability band (unlikely, possible, likely, very likely) and a short explanation. On very short texts the band is wide, because a few hundred words is not enough for any detector, including Anthropic's, to be confident.
- Meaning map. The engine extracts what must not change: named entities, figures, dates, quotations, URLs, code blocks, headings and list structure. These are pinned.
- Rewrite. Each sentence is re-generated with an unmarked model, constrained by the meaning map and by your tone setting (neutral, formal, conversational, or "keep mine").
- Verification. Every rewritten sentence is compared to the original for semantic equivalence. Sentences that drift are re-generated. You see a diff, so you can accept or reject any change.
- After score. The output is analysed again. Most texts land in the "unlikely" band. When they do not, the tool tells you why (usually: too short, or too constrained by pinned content) instead of pretending.
Example, before and after
The same paragraph, once as a current Claude model wrote it and once after the tool's rewrite. Both say the same thing; the words are chosen differently. The pair below was written for this page to show the scale of the rewrite and the shape of the report; the scores are the format the tool shows, the product is pre-launch.
Documenting decisions matters because it creates a shared record that outlives any single conversation. When a team writes down not only what was decided but why, newcomers can understand the reasoning without interrupting anyone, and the group avoids relitigating settled questions. The habit also surfaces assumptions early: putting a rationale into words often reveals gaps that a verbal agreement would have hidden. Over time, the archive becomes a map of how the team thinks, which is useful whenever priorities shift.
Watermark score: 0.91 (very likely)
Writing decisions down gives a team a record that lasts longer than the meeting where they were made. Note the reasoning as well as the outcome: new colleagues can then follow the logic without asking around, and settled questions stay settled. Spelling out a rationale also exposes assumptions early, since a gap that survives a spoken agreement rarely survives a written one. Kept up over months, those notes become a map of how the team reasons, handy each time priorities move.
Watermark score: 0.08 (unlikely)
Same length within a few words, same four ideas in the same order, no fact added or dropped. That is the target of every rewrite: remove the Claude watermark, keep the meaning.
What stays exactly the same
- Facts, figures, currencies, dates and proper nouns.
- Quotations, which are never rewritten. A quote is a quote.
- Markdown, HTML, tables, code blocks and links.
- Your language: the tool works in English, French, Spanish, German, Italian and Portuguese, and answers in the language of the input.
- Length, within a few percent. If you want it shorter, that is a separate, explicit option.
Who asks for this
If your text came out of ChatGPT rather than Claude, the ChatGPT watermark remover is the right page: there is no statistical mark to remove there, only invisible characters and habits. For Claude text: Content and SEO teams that draft with Claude and publish under their own name. Freelance writers whose clients run detection tools before paying. Translators and proofreaders, because Anthropic itself notes that asking Claude to proofread or translate a human text can be enough to trigger detection. Developers who need the same result at scale through the API. In every case the goal is the same: a text that reads as yours and passes as yours, not a text that pretends to be something it is not.
What we will not promise
No tool can promise a zero score on every text. Detection is probabilistic, and Anthropic can update its detector. What Unmarker promises is a measured before and after, a rewrite that keeps your meaning, and a clear "not enough" message when a text is too short or too constrained to be cleaned. We also do not position the tool for academic dishonesty: if your institution asks you to disclose AI assistance, disclose it. Read our note on whether you should remove it before you decide.
Planned pricing
Free: three texts a day, up to 1,500 words each, with the before and after score. Pro: 9 dollars a month, or 5 dollars locked for life for early-access members. API: pay as you go from 0.50 dollars per 10,000 words. Everything above is a planned launch price, and the waitlist gets it first.
Questions people ask
Does the Claude watermark remover work on text from Claude Code or the API?
Yes. The mark is added at generation time by the model, so it is the same whether the text came from the Claude app, Claude Code, Cowork or the API. Unmarker treats them identically.
Does it work on older Claude models?
Anthropic applies the mark to models released on or after August 2, 2026 and says older models are being added. If a text is not marked, the before score will say so and you can still use the rewrite for style.
Will the meaning change?
The engine pins entities, numbers, quotes and structure, then checks every rewritten sentence against the original. You see a diff and can reject any change.
How long does it take?
The target is a few seconds for a 1,000-word text. Bulk jobs run in the background and notify you.
Is my text stored?
Texts are processed and deleted within 24 hours. Nothing is used to train anything.