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What kind of watermark are you checking?
“AI watermark” can mean several different things, and they do not fail in the same way.
| Type | Where it is | What it can tell you | Important limitation |
|---|---|---|---|
| Visible watermark | Text, logo, or label overlaid on the image | That a visible mark was added to the image | It can often be cropped or edited out; removing it does not establish the image’s origin. |
| C2PA Content Credentials | Signed provenance metadata attached to a file | Information about supported origin and editing history | Credentials can be lost during screenshots or file conversion, and provenance does not prove depicted events are factual. |
| Embedded watermark, such as SynthID | A signal encoded in the image pixels | Whether a compatible detector finds a supported signal | It is designed to withstand some transformations, but extreme manipulation may make it undetectable. |
C2PA is a provenance record, not a pixel-level mark. Its signed information can help establish where content came from and how it was handled, but the C2PA explainer cautions that “provenance information alone cannot tell you whether the digital content is true, accurate or factual.”
Google describes SynthID as an imperceptible signal in image pixels. It says the mark can remain detectable after filters, color or brightness changes, and common lossy compression, while also warning that “SynthID isn’t foolproof against extreme image manipulations.” See Google DeepMind’s SynthID overview.
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How can a watermark be removed or lost?
Metadata can disappear in routine handling
A screenshot creates a new image rather than preserving the original file’s metadata. Conversion or other file handling can also strip C2PA credentials. That can happen without anyone carrying out a targeted attack on the provenance record. OpenAI recommends using the original exported file when checking supported signals and avoiding cropping or conversion beforehand; its verification guidance explains the limits of the check.
Pixel signals can survive ordinary changes, not every attack
Embedded watermarks are intended to remain detectable after some common transformations, but “designed to persist” does not mean permanent. A 2026 arXiv preprint, MarkNull, reports an experimental attack on SynthID-Image that reduced watermark bit accuracy toward random-guessing levels while retaining high visual quality. This is a preliminary research result, not evidence that every image can be reliably stripped or a dependable consumer method for removing a mark.
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Removing a visible label is not the same as removing provenance
Cropping or editing a visible logo removes only that overlay. It does not establish whether the image was AI-generated, preserve a signed credential, or tell you whether the scene is genuine.
What does a watermark check actually prove?
A positive result is evidence of a supported signal
A detector can report only signals it is built to recognize. OpenAI’s verifier checks supported OpenAI signals, such as a SynthID watermark or trusted C2PA manifest; it is not a universal detector for every image-generation system. A positive result is evidence that the file contains a supported provenance signal associated with OpenAI, not a verdict about the image itself.
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A negative result is inconclusive
If a checker finds no supported signal, it means only that it did not find one. The file may still have been generated by OpenAI or another AI provider, or its credential or embedded signal may have been lost or become undetectable. A negative check is especially limited when the tool recognizes only particular providers or signal types.
How to check an image without overreading the result
- Start with the original file. If available, use the exported image rather than a screenshot or a copy that has been cropped or converted.
- Choose a checker that supports the source you are investigating. OpenAI’s verifier is for supported OpenAI signals, not all AI images.
- Read the result narrowly. A positive result identifies a supported signal; a negative result does not certify human origin.
- Check context separately. Compare the image with independent reporting or other evidence about the depicted event. A provenance mark cannot establish whether the scene is true.
Google announced SynthID Detector on May 20, 2025, initially rolling it out to early testers. The company said its portal scans supported Google AI content for SynthID and can highlight portions likely to be watermarked. Because that announcement described an initial rollout, check Google DeepMind’s official SynthID page for current access.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.What the deployment numbers do—and do not—mean
Google reported in 2025 that SynthID had watermarked more than 10 billion pieces of content. The SynthID-Image paper authors separately reported more than ten billion images and video frames across Google services in 2025. These are reported deployment totals, not independent measurements of detection accuracy or proof that a given image can be authenticated.
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