AI content labels and C2PA: how generated content is marked
AI content labels are marks and hidden data showing that an image, video or sound was created or altered with AI. The best-known open standard is C2PA (Content Credentials): a file's "passport" with the history of how it was made.

In plain words
Imagine every photo came with a shop receipt: where it was "bought", who the "seller" was, whether it was "altered". Content Credentials are that receipt: they record the camera or program, the date and the changes, including AI. But a receipt can get lost - if you forward the photo as a screenshot, it disappears.
How it works
- A camera, smartphone or program writes signed metadata about the file's origin into it.
- When the file is edited or generated, new steps are added to that record.
- A digital signature lets you check that the record has not been forged.
- Some generators also embed invisible watermarks into the image itself.
- Websites and social networks can show a "made with AI" label if they detect this data.

Where you'll see it
Labels are used by big companies' image generators, some cameras and smartphones, editing programs and social networks that show tags like "Made with AI". You can check Content Credentials on dedicated verification websites.
Does it matter when buying
Good to know, but do not rely on it completely. A missing label does not mean a photo is real: it may have been stripped or never added. I treat a label as a bonus; the main thing is checking the source.
Myths
- Myth: No label means the photo is real. Reality: A label is easily lost through a screenshot or re-saving.
- Myth: Labels are visible text on the photo. Reality: Mostly they are hidden data in the file that only special tools can see.
FAQ
How do I check a photo for C2PA?
Upload it to a Content Credentials verification site - it will show the history if there is one.
Does my smartphone label AI edits?
Some manufacturers add labels or metadata to photos changed with generative AI.
What is an invisible watermark?
A pattern embedded in the pixels that the eye cannot see but special software can detect.