Inconclusive
Signals are mixed or weak. We can't tell with confidence — context, source, and your own judgement matter here.
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.
Just below the AI threshold
NoteThe score (58/100) is right at the boundary between inconclusive and AI (60). A single signal flip could swing the verdict — treat this as suggestive rather than definitive.
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 3.58 — different regions show noticeably different compression levels. Common with composites, edits, or AI generations.
ML detectors see this image differently
NoteML scores span a wide range (0–99). 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.
- Error Level Analysisread real · 0/100
Error Level Analysis. Re-saves and diffs to expose uneven compression regions.
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 38▸ expand▾ collapse
Provenance & Metadata3 detectors · mean 39▸ expand▾ collapse
Image Quality
- Dimensions
- 531 × 588 px
- Aspect
- 0.903
- File size
- 48.6 KB
- Bytes / pixel
- 0.160
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: 5.3438 – 27.2740
Noise Fingerprint
- Variance
- 236.35
- Std deviation
- 15.37
- Mean
- -0.0
- Spatial corr.
- 3.326
- Mean Δ
- 0.76
- σ
- 2.73
- CV
- 3.584
- Uniformity
- -2.584