Claude and Gemini now embed an invisible watermark in everything they write. The Watermark Remover strips it out at the sentence level. This isn't just a typical synonym swap. The words stay yours and the mark doesn't survive the rewrite. Paste in a draft, get back the same meaning, and publish without a signal you never agreed to attach.
Everything you need to catch, strip, and verify a Claude or Gemini watermark, whether it's one page or your whole publishing queue.
One document at a time. Paste in text from Claude or Gemini, get back a structural rewrite with the invisible signal gone and the meaning intact. No account setup required to try it, and no limit on how many times you run a piece through before you're happy with it.
No guessing whether a piece is actually clean. Every rewrite comes back with a detection score attached, checked against the same tools that would flag it downstream, so you know before you hit publish instead of finding out after.
Route content through the Watermark Remover API before it hits your CMS or publish button. Built for teams generating faster than a human editor can rewrite by hand, with no manual review pass required per document and turnaround fast enough to sit inside a real production pipeline.
Wait, what's this?
A text watermark isn't a logo stamped across the page. It's a statistical pattern baked into the model's word choices as it writes, invisible to a reader, embedded before you ever see the draft. Claude's version is confirmed to travel with the text when it's copied and pasted, and it can survive light editing. Gemini marks its output the same way through its own system, so the problem isn't unique to one model or one platform.
The companies building these systems have also published where the signal breaks: heavy edits, paraphrasing at the sentence level, translation, and short passages that don't carry enough of the pattern to detect. The Watermark Remover is built around exactly that mechanism. It doesn't swap synonyms and hope. It rewrites sentence structure the way a real edit would, which is the specific category of change the mark isn't built to survive.
Rewrite depth
Detection score
Volume
Update cadence
Output readability
Still have more questions?
Learn more in our support page.
No. Gemini embeds a mark of its own through SynthID. ChatGPT has reportedly tested the approach but hasn't shipped one as of now, and most smaller or open-source models don't mark their output at all yet. The Watermark Remover works on Claude and Gemini output today and is built to extend as more models add one.
Check the terms of whichever platform you're using before publishing anything you're unsure about. The Watermark Remover rewrites text you already own the rights to, the same category of edit as a human copyeditor passing over a draft.
That's the actual test of whether the tool works. A real rewrite changes sentence structure while keeping your meaning, and should read as naturally as your original draft, not worse. If the output reads clunky, that's a sign of shallow word-swapping, not a real rewrite.
Every rewrite returns a detection score instead of a promise. Check it before you publish rather than finding out from someone else's detector later.
One person with one document, or a pipeline shipping thousands a day. Volume pricing and enterprise SLAs are available for production teams that need this running quietly in the background, not as a one-off fix.
