ZONN.ai Forensic Report
Case · 5EA45AB0 · IMAGE
Very likely AI-generated
Most signals point to AI generation. Detection tools are not perfect — treat this as a strong indication, not a verdict.
Analysed Specimen
Heads up — 3 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.
ML detectors disagree with each other
Note3 models confidently say "AI" (Ml Python Siglip, Itsnotai V2, Xrayon Convnext) while 2 confidently say "real" (Ml Commfor, Bombek1). This image sits at the edge of what ML can decide — manual review is recommended.
Upsampling artifacts in the frequency domain
AI evidenceFFT analysis found strong upsampling patterns — a fingerprint of diffusion-model VAE decoders (latent → pixel-space upscale).
ML detectors see this image differently
NoteML scores span a wide range (0–97). Different architectures read different feature spaces; the majority vote strengthens the consensus, but no single model is fully reliable here.
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
- CommFor (4803 Generators)read real · 0/100
CommFor detector trained across 4,803 generator variants for broad coverage.
- xRayon ConvNeXtV2flagged AI · 97/100
ConvNeXtV2 detector trained on FLUX, DALL-E 3, SDXL, SD3.5, and Midjourney v6.
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 57▸ expand▾ collapse
Pixel & Frequency Forensics7 detectors · mean 46▸ expand▾ collapse
Provenance & Metadata3 detectors · mean 45▸ expand▾ collapse
Image Quality
- Dimensions
- 687 × 687 px
- Aspect
- 1.000
- File size
- 64.1 KB
- Bytes / pixel
- 0.139
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: 2.1760 – 21.7599
Noise Fingerprint
- Variance
- 55.00
- Std deviation
- 7.42
- Mean
- -0.0
- Spatial corr.
- 2.189
- Mean Δ
- 1.31
- σ
- 1.56
- CV
- 1.192
- Uniformity
- -0.192