AI watermarks,
without the guesswork.
Direct answers about signals hidden in text, images, and video, the detectors they require, and the conclusions you can—and cannot—draw from a scan.
The four layers people call watermarks—and why each needs a different detector.
→02 · Run a text checkWhat can an AI text watermark checker detect?A direct map of C2PA text, hidden Unicode, Claude, SynthID, and what a zero result proves.
→03 · Run an image checkWhat can an AI image watermark checker detect?A direct map of C2PA, metadata, SynthID pixels, visible marks, and what a negative result proves.
→04 · Clean safelyHow to remove an AI text watermarkWhich literal signals can be removed without rewriting and which statistical marks cannot.
→05 · ClaudeCan Claude's watermark be detected?Anthropic's announced model-level mark, C2PA file provenance, and the detector details still forthcoming.
→06 · GeminiHow SynthID Text detection worksWhy configured keys and token analysis—not a hidden-character scan—are required.
→07 · TerminologyWhat is an AI signature?Separate statistical fingerprints, cryptographic signatures, provenance, and literal file data.
→08 · Image provenanceHow C2PA validation worksWhat a valid Content Credential proves, what trust means, and what absence does not prove.
→09 · Copied textHow C2PA text watermarks workThe exact hidden variation-selector wrapper defined in C2PA 2.4, including detection, removal, and validation limits.
→10 · Markdown and codeHow C2PA works in structured textManifest references in comments or front matter, local Base64 decoding, and conservative whole-block removal.
→11 · Audit the checkerDetection methodologyExact coverage, cleanup safeguards, scanner versions, evidence reports, and known limits.
→12 · WebP imagesCheck WebP metadata and C2PAHow WebP stores Exif, XMP, and Content Credentials—and how safe removal is verified.
→13 · Original test10,000 AI responses scannedOur method, results, and the evidence that hidden characters do not reveal SynthID Text.
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