Media Authenticity & Provenance Analysis

Sample output

Google Gemini AI watermark sample report

Inspect a FauxScan sample report for an AI-generated image with valid Google C2PA credentials, a Gemini watermark, missing EXIF metadata, and forensic review notes.

Google Gemini AI watermark sample report

FauxScan classified this beach-working image as AI-generated because the file contains valid Content Credentials signed by Google and a visible Google Gemini AI watermark.

What FauxScan found
The scan found embedded valid C2PA credentials, a Google signer, a composite-with-trained-algorithmic-media source type, no EXIF metadata, visible AI watermark evidence, residual texture signals, and frequency artifacts.
C2PA and provenance
C2PA was present, embedded, and valid. The manifest identifies Google C2PA Core Generator Library metadata and Google Media Processing Services as the signer.
Metadata
The image did not include camera EXIF metadata or GPS context. Because the source is PNG, FauxScan uses native pixel residual analysis instead of JPEG ELA.
Why it matters
This sample demonstrates a high-confidence provenance case: the watermark, C2PA record, and forensic signals all point toward AI generation even when a detector result alone is not reliable.
Limitations
The report verifies strong AI-origin indicators, but it does not identify the uploader, original prompt, publication path, or user intent behind the image.

Open interactive sample report