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AI Text Watermark Checker
Inspect hidden text artifacts without rewriting
Inspect copied text for hidden Unicode, zero-width characters, direction controls, special spaces, and related formatting artifacts. Scans run locally in your browser, report exact code points, and clean only supported literal artifacts without rewriting readable text or claiming AI authorship. Includes file and batch workflows, a Chrome extension, API hooks, public benchmarks, and an open-source package.
I built this because people were seeing broad claims about invisible AI watermarks without a clear way to inspect what was actually present. The product focuses on evidence: exact code points, local processing, lossless cleanup of supported artifacts, and honest limits around provider-level statistical watermarking. I would love feedback on the methodology, browser compatibility, and the workflows that would be most useful next.
About AI Text Watermark Checker on Product Hunt
“Inspect hidden text artifacts without rewriting”
AI Text Watermark Checker was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #159 on the daily leaderboard. Inspect copied text for hidden Unicode, zero-width characters, direction controls, special spaces, and related formatting artifacts. Scans run locally in your browser, report exact code points, and clean only supported literal artifacts without rewriting readable text or claiming AI authorship. Includes file and batch workflows, a Chrome extension, API hooks, public benchmarks, and an open-source package.
On the analytics side, AI Text Watermark Checker competes within Privacy — topics that collectively have 11.3k followers on Product Hunt. The dashboard above tracks how AI Text Watermark Checker performed against the three products that launched closest to it on the same day.
Who hunted AI Text Watermark Checker?
AI Text Watermark Checker was hunted by Nate Douglas. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of AI Text Watermark Checker including community comment highlights and product details, visit the product overview.
Nate Douglas