What does the AI image checker detect?
The checker reads four families of AI fingerprints from the metadata layer:
- C2PA / Content Credentials:the provenance standard used by DALL·E, Adobe Firefly and a growing list of cameras and editors, embedded as a JUMBF block in the file.
- Generation parameters:the prompt, negative prompt, model, seed and sampler that Stable Diffusion (AUTOMATIC1111) and ComfyUI write into PNG files. The checker decodes them for you.
- IPTC digitalSourceType:the standard field declaring an image as “created by generative AI”.
- Software tags:the declared creator tool, which often names the generator outright.
Can it detect Midjourney, DALL·E or SynthID images?
This checker works on the metadata layer only. It cannot see invisible pixel watermarks such as Google's SynthID, and it cannot prove anything about an image whose metadata has been stripped: a screenshot of an AI image will show no evidence at all. Where other tools return a confident-sounding percentage, we show you the actual signals found, or tell you plainly that there are none.
Why does metadata beat pixel-based detection?
Pixel-based detectors estimate probabilities and can be wrong in both directions. Metadata fingerprints are different: when an image carries C2PA credentials or a Stable Diffusion parameter block, that is direct, inspectable evidence of its origin, and you can read every field yourself in the report. Found fingerprints you want gone from your own work? Use the remove EXIF tool, or inspect the full file first with the EXIF viewer.