ZONN.ai Forensic Report
Case · 65CD8507 · 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 — 4 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.
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 1.55 — different regions show noticeably different compression levels. Common with composites, edits, or AI generations.
Weak overall confidence
NoteAggregate verdict confidence is 30/100. Several detectors returned uncertain answers or were offline. Read the verdict as a guideline, not as a final answer.
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.
- Noise Patternflagged AI · 95/100
Sensor-noise (PRNU) fingerprint check. Real cameras leave camera-unique noise.
Model Agreement
Variance across 2 ML detectors. Higher agreement means the models converged on the same reading; lower agreement means treat the verdict with care.
Evidence — 12 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 Models2 detectors · mean 50▸ expand▾ collapse
Pixel & Frequency Forensics7 detectors · mean 44▸ expand▾ collapse
Provenance & Metadata3 detectors · mean 54▸ expand▾ collapse
Image Quality
- Dimensions
- 800 × 600 px
- Aspect
- 1.333
- File size
- 21.1 KB
- Bytes / pixel
- 0.045
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: 0.6306 – 5.6960
Noise Fingerprint
- Variance
- 9.62
- Std deviation
- 3.10
- Mean
- 0.0
- Spatial corr.
- 0.535
- Mean Δ
- 0.61
- σ
- 0.94
- CV
- 1.547
- Uniformity
- -0.547