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AI image detector

Drop in a JPEG, PNG, WebP or AVIF and this tool works out whether it was generated by a model or produced with a camera. It starts with the evidence that is actually conclusive — the provenance data embedded in the file — and only falls back to statistical detection when that data is missing.

Most detectors skip straight to the classifier and report its output as a percentage. That is misleading: those classifiers are trained on specific generators and lose accuracy quickly on newer ones. Here you see which layer produced the answer, so you can judge how much weight it deserves.

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What this checks

  • C2PA Content Credentials, the signed manifest that OpenAI, Adobe Firefly and several camera makers attach to their output
  • EXIF Software and Creator tags naming a generator
  • The IPTC DigitalSourceType field, the standards-body marker for synthetic media
  • PNG text chunks, where Stable Diffusion and ComfyUI write the full prompt and sampler settings
  • Camera fingerprints — make, model, aperture, shutter speed and GPS
  • Two independent image classifiers, run only when the metadata is silent

Frequently asked questions

Can an AI image detector be fooled?

Easily. Screenshotting an AI image, re-saving it, or running it through a social network strips the metadata that carries real evidence, leaving only the classifier. Conversely, metadata can be added by hand to make a real photo look generated. This is why the result shows a range and names its sources.

Does it work on AI images that have been edited?

Partially. Light edits usually preserve the provenance manifest, so the answer stays reliable. Heavy edits, crops and re-compression tend to destroy it, at which point the tool falls back to the models and the confidence drops accordingly.

Which image formats are supported?

JPEG, PNG, WebP, AVIF, GIF and TIFF, up to 10 MB. SVG is deliberately rejected because it can carry executable script.

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