Probably AI-generated
More signals lean toward AI generation than real, but some give weaker readings. Treat with caution.
Analysed Specimen
Heads up — 1 thing 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.
Upsampling artifacts in the frequency domain
AI evidenceFFT analysis found strong upsampling patterns — a fingerprint of diffusion-model VAE decoders (latent → pixel-space upscale).
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.
Google Lens
Yandex
TinEye
Bing VisualWhy this verdict
- xRayon ConvNeXtV2flagged AI · 97/100
ConvNeXtV2 detector trained on FLUX, DALL-E 3, SDXL, SD3.5, and Midjourney v6.
- Noise Patternflagged AI · 87/100
Sensor-noise (PRNU) fingerprint check. Real cameras leave camera-unique noise.
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 43▸ expand▾ collapse
Pixel & Frequency Forensics7 detectors · mean 51▸ expand▾ collapse
Provenance & Metadata3 detectors · mean 39▸ expand▾ collapse
Image Quality
- Dimensions
- 1334 × 1780 px
- Aspect
- 0.749
- File size
- 214.3 KB
- Bytes / pixel
- 0.092
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: 2.2197 – 10.7060
Noise Fingerprint
- Variance
- 31.55
- Std deviation
- 5.62
- Mean
- 0.0
- Spatial corr.
- 1.326
- Mean Δ
- 1.04
- σ
- 1.09
- CV
- 1.056
- Uniformity
- -0.056