The short answer
You cannot prove an image is AI-generated from its pixels. What you can find are provenance signals: generator strings embedded by some AI tools, C2PA Content Credentials from adopters, IPTC digital-source declarations, and metadata patterns that support or undercut a file's claimed story.
Signal 1: Generator markers
Several generators embed text markers — tool names, prompts, generation parameters — in the file. PictureMatters recognizes strings associated with major tools (OpenAI / DALL·E, Midjourney, Stable Diffusion, Adobe Firefly, FLUX and more). A marker is a genuine clue about the file's software origin — and it can be stripped like any metadata.
Signal 2: C2PA / Content Credentials
The strongest available signal. C2PA is the signed provenance standard adopted by Adobe, camera makers and several AI companies — credentials record creation and edits with tamper-evident signatures. If a file carries intact Content Credentials, they substantially constrain its history (assuming you trust the signer). Absence, again, proves nothing — most of the internet still strips it. See What Is C2PA?
Signal 3: IPTC digital-source-type
News-industry metadata increasingly labels media as "trained algorithmic media" (AI), a "composite", or a "digital capture". When present, this is a formal declaration — valuable because it is a claim by the publisher, distinct from anonymous strings.
Signal 4: The claim-conflict check
Some combinations are self-undermining: a "camera original" shot with rich EXIF and a generator string; GPS coordinates on an image whose tool marker says it was generated last week. The PictureMatters report lays all findings side by side so conflicts are visible.
Signal 5: Metadata survival
Context first: where did the file come from? Straight from a generator's download button, it may carry rich provenance. After WhatsApp or Instagram, assume everything was stripped — absence of markers there is meaningless. The report's metadata-survival meter grades exactly this.
What doesn't work
- Vibes — "it looks too smooth" was weak in 2023; it is useless now.
- Online "AI detectors" — published evaluations show high error rates in both directions; treat percentage claims skeptically.
- Single-signal certainty — a marker without context, or absence without journey knowledge, is not a verdict.
A practical workflow
- Ask for (or find) the highest-quality original — provenance rarely survives re-sharing.
- Run it through the AI provenance checker and read generator, C2PA and survival findings together.
- Reverse-image search to find first publication.
- Check the poster's source and history.
- Conclude with calibrated language: "carries markers consistent with…" — not "is AI."