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Spotting AI-Generated Images and Videos: A Practical Checklist

1Why Detection Is a Judgment, Not a Test2Visual Clues in AI-Generated Images3Visual Clues in AI-Generated Video4Context and Content Clues5Metadata and Provenance Signals6A Practical Checklist and Common Traps
Metadata and Provenance Signals

Watermarks: Visible and Invisible

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Watermarks split into two kinds, and the difference matters for how much weight you give them. Visible watermarks are the overlays you can see: a corner logo, a repeated pattern, a text credit. They are easy to spot and just as easy to crop out, so seeing one tells you something, but not seeing one tells you almost nothing. Invisible watermarks are embedded in the pixel data and are not meant to be seen. SynthID is a well-known example: it alters pixel values in a way designed to survive cropping, compression, and resizing, and you need the matching verification tool to detect it. The limits are the same as for metadata. Heavy re-encoding, aggressive cropping, or deliberate removal tools can degrade an invisible mark. And a surviving watermark proves only that a particular tool touched the file, not that the content is true. A missing watermark proves nothing, because most media never had one.
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Two kinds of watermark

Visible

  • Overlay logo, repeated pattern, or text credit
  • Spotted by eye, no tool needed
  • Removed by cropping or painting over
  • Presence is informative; absence means little

Invisible

  • Embedded in pixel or signal data, e.g. SynthID
  • Designed to survive cropping, compression, resizing
  • Requires the matching verification tool to detect
  • Degraded by heavy re-encoding or removal tools

What a watermark does and does not prove

A surviving watermark proves that a particular tool or pipeline touched the file. It does not prove the content is true or accurate. A missing watermark proves nothing at all, because most media never carried one.

References

  1. [1]SynthID: Identifying AI-generated content with SynthIDdeepmind.google
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