Probably AI-generated
More signals lean toward AI generation than real, but some give weaker readings. Treat with caution.
Analysed Specimen


Heads up — 5 things to know
Why this analysis might be off
We highlight every disagreement and unusual signal we found so you can judge for yourself. Stronger warnings come first; informational notes are at the bottom.
Multiple detectors unreachable
Note2 ML detectors did not respond (Ml Python Siglip, Ml Commfor). The verdict was computed with reduced evidence; reliability is lower than usual.
No metadata at all
AI evidenceThe file has no EXIF, XMP, IPTC, or ICC metadata. This is common for social-media re-uploads and for many generator outputs — real camera files almost always carry an ICC profile.
Upsampling artifacts in the frequency domain
AI evidenceFFT analysis found strong upsampling patterns — a fingerprint of diffusion-model VAE decoders (latent → pixel-space upscale).
Weak overall confidence
NoteAggregate verdict confidence is 31/100. Several detectors returned uncertain answers or were offline. Read the verdict as a guideline, not as a final answer.
No ICC color profile
AI evidenceThe image does not embed an ICC color profile. Real camera files almost always carry sRGB or Adobe RGB profiles — a missing profile is often a sign of generator output or re-encoded media.
Origin Check
Trace this image elsewhere
Cross-reference the source against major reverse-image services. Each link opens in a new tab with the image URL preloaded — ZONN.ai does not re-upload the image.
Why this verdict
- xRayon ConvNeXtV2flagged AI · 97/100
ConvNeXtV2 detector trained on FLUX, DALL-E 3, SDXL, SD3.5, and Midjourney v6.
- Color Distributionread real · 8/100
Global color distribution shape vs natural-photo baselines.
Model Agreement
Variance across 6 ML detectors. Higher agreement means the models converged on the same reading; lower agreement means treat the verdict with care.
Evidence — 16 detectors reviewed
What each detector saw
Each detector independently gave this imagea score from 0 (definitely real) to 100 (definitely AI). The score above is their weighted consensus — detectors with higher confidence count more. No single detector decides; you read the spread.
ML Models6 detectors · mean 54▸ expand▾ collapse
Pixel & Frequency Forensics7 detectors · mean 44▸ expand▾ collapse
Provenance & Metadata3 detectors · mean 54▸ expand▾ collapse
Image Quality
- Dimensions
- 1920 × 1072 px
- Aspect
- 1.791
- File size
- 4.72 MB
- Bytes / pixel
- 2.403
Frequency Analysis
Edge Consistency
Per-region edge density (4 × 4 grid). Uneven distribution may indicate localized editing or splicing; uniform fields are typical of fully synthetic outputs.
Range: 10.0784 – 37.0345
Noise Fingerprint
- Variance
- 160.87
- Std deviation
- 12.68
- Mean
- -0.0
- Spatial corr.
- 4.736
- Mean Δ
- 2.89
- σ
- 3.20
- CV
- 1.109
- Uniformity
- -0.109