ZONN.ai Forensic Report
Case · 42FCCE31 · IMAGE
Very likely real
Most signals point to a real, human-captured source. Detection tools are not perfect — treat this as a strong indication, not a verdict.
Analysed Specimen
Heads up — 2 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.
Upsampling artifacts in the frequency domain
AI evidenceFFT analysis found strong upsampling patterns — a fingerprint of diffusion-model VAE decoders (latent → pixel-space upscale).
Uneven compression (ELA)
AI evidenceELA coefficient of variation is 2.49 — different regions show noticeably different compression levels. Common with composites, edits, or AI generations.
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
- Error Level Analysisread real · 0/100
Error Level Analysis. Re-saves and diffs to expose uneven compression regions.
- SigLIP AI Detectorread real · 1/100
SigLIP visual-language model probing semantic vs perceptual coherence.
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 33▸ expand▾ collapse
Pixel & Frequency Forensics7 detectors · mean 43▸ expand▾ collapse
Provenance & Metadata3 detectors · mean 45▸ expand▾ collapse
Image Quality
- Dimensions
- 336 × 336 px
- Aspect
- 1.000
- File size
- 6.9 KB
- Bytes / pixel
- 0.063
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: 0.0000 – 7.6402
Noise Fingerprint
- Variance
- 41.44
- Std deviation
- 6.44
- Mean
- 0.0
- Spatial corr.
- 0.728
- Mean Δ
- 0.49
- σ
- 1.21
- CV
- 2.489
- Uniformity
- -1.489