Probably real
More signals lean toward real than AI, but some give weaker readings. Worth a second look on close inspection.
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.
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 1.58 — different regions show noticeably different compression levels. Common with composites, edits, or AI generations.
High pixel-level noise
NoteHeavy but spatially uncorrelated noise was detected. This can be camera sensor noise or synthetic dithering — by itself it is not a strong AI/real signal.
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
- INA v2 (FLUX/MJ)read real · 0/100
BEiT-Large dual-head classifier trained on FLUX, Midjourney, and real photo corpora.
- 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 37▸ expand▾ collapse
Pixel & Frequency Forensics7 detectors · mean 36▸ expand▾ collapse
Provenance & Metadata3 detectors · mean 54▸ expand▾ collapse
Image Quality
- Dimensions
- 1389 × 763 px
- Aspect
- 1.820
- File size
- 109.1 KB
- Bytes / pixel
- 0.105
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: 1.9943 – 13.6661
Noise Fingerprint
- Variance
- 6242.63
- Std deviation
- 79.01
- Mean
- 27.4
- Spatial corr.
- 2.008
- Mean Δ
- 1.37
- σ
- 2.18
- CV
- 1.585
- Uniformity
- -0.585