Watermarking means adding a signal to AI-made images, audio, video or text that shows an AI model produced it. The signal can be visible, like a small label in the corner of a picture. It can also be hidden inside the file, where only a checking tool can find it. For example, an image tool might put an invisible mark into every picture it makes, so a detection tool can later flag that picture as AI-made.
A watermark is a signal, not proof. Cropping, compressing, rewording or re-recording content can strip or damage the mark. A missing watermark does not mean a person made something. Watermarking is closely tied to content credentials and to labeling rules for synthetic media.
Why it matters
Your organization may use AI tools to make images, audio or text for newsletters, appeals or social posts. Watermarks can help readers and partners see which pieces a machine made. They can also help you check a suspicious clip, such as a possible deepfake. Never treat a watermark check as the final word, though. Before you choose a tool, ask the vendor three questions: does it mark what it makes, is the mark visible or hidden, and how well does the mark survive editing?
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