Product Positioning & Context
Paste any text and see every trace a chat interface left in it: hidden HTML class names, zero-width characters, exotic spaces, typography. Each finding has a count and a position, because these are facts about the bytes, not a probability score. Clean it in one click. Free, unlimited, no account, runs in your browser so nothing is uploaded. It does not claim to detect Anthropic's statistical watermark, because nobody outside Anthropic can. The engine is MIT open source.
Related Ecosystem & Alternatives
Discover adjacent products, open-source repositories, and developer tools sharing similar technical architecture.
Deep-Dive FAQs
What is Claude Watermark?
Claude Watermark is a digital product or tool described as: Find and remove every trace AI leaves in your text
Where did Claude Watermark originate?
Data for Claude Watermark was aggregated directly from the Product Hunt community ecosystem, representing raw developer and early-adopter sentiment.
When was Claude Watermark publicly launched?
The initial public indexing or launch date for Claude Watermark within our tracked developer communities was recorded on August 19, 2026.
How popular is Claude Watermark?
Claude Watermark has achieved measurable traction, logging over 220 traction score and facilitating 15 recorded discussions or engagements.
Which technical categories define Claude Watermark?
Based on metadata extraction, Claude Watermark is categorized under topics such as: Writing, Privacy, Artificial Intelligence.
How does the creator describe Claude Watermark?
The original author or development team describes the product as follows: "Paste any text and see every trace a chat interface left in it: hidden HTML class names, zero-width characters, exotic spaces, typography. Each finding has a count and a position, because these are..."
Community Voice & Feedback
You can't use "Claude" in the name, ban incoming.
This is such a great response to their updates :D
You ran ten pre-computer novels through the checker to test the em dash theory. Moby Dick hits twenty-six per thousand words, Austen none. Congrats on shipping something that leads with what it can't do.
I don't see any issue with cloud watermarking, but anyway, good niche findings! Good luck!
Cool approach, and agreed that you can't detect Anthropic's watermark without their keys. But on removal I wouldn't fully agree: you don't need to detect a watermark to remove it. There's research showing these watermarks mostly don't survive paraphrasing or translating back and forth.
Hey Product Hunt 👋 I built this after the Claude watermark news in August, when the internet filled up with tools promising to remove a watermark nobody outside Anthropic can actually detect. This does the part that is real. Copying out of a chat interface carries things with it: HTML class names, zero-width characters, exotic spaces, typography. Paste anything and you get every one of them with a count and a position, because those are facts about the bytes rather than a probability score. One click strips them. Two things I would rather say up front than bury. First, it does NOT detect Anthropic's statistical watermark. Nobody outside Anthropic can, because verification needs a key that has not been released. Any tool claiming otherwise is guessing. Second, the em dash is not the tell people think it is. I ran ten pre-computer novels through the checker: Melville uses 26 per thousand words in Moby Dick, while Austen and Stoker use none at all. A signal that swings from 0 to 26 across human authors cannot accuse anyone of anything. The detection engine is MIT open source, so you can check both of those claims instead of trusting me. Free and unlimited to check, runs in your browser, nothing uploaded. I would genuinely like to hear where it gets things wrong.
Discovery Source
Product Hunt Aggregated via automated community intelligence tracking.
Tech Stack Dependencies
No direct open-source NPM package mentions detected in the product documentation.
Media Tractions & Mentions
No mainstream media stories specifically mentioning this product name have been intercepted yet.
Deep Research & Science
No direct peer-reviewed scientific literature matched with this product's architecture.
SaaS Metrics