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.
AI generator fingerprints detected
AI evidenceFrequency analysis (FFT score 73/100) shows modern diffusion-style upsampling patterns, but the ML models say "real". This combination is a known blind spot for newer generators (SDXL, FLUX, Midjourney v6) — the verdict above may be misleading.
Image is very small
NoteDimensions 196×194 (under 256×256). Detection models cannot give a reliable answer on inputs this small.
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 (0–74). 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
- INA v2 (FLUX/MJ)read real · 0/100
BEiT-Large dual-head classifier trained on FLUX, Midjourney, and real photo corpora.
- xRayon ConvNeXtV2read real · 2/100
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 32▸ expand▾ collapse
Pixel & Frequency Forensics7 detectors · mean 54▸ expand▾ collapse
Provenance & Metadata3 detectors · mean 54▸ expand▾ collapse
Image Quality
- Dimensions
- 196 × 194 px
- Aspect
- 1.010
- File size
- 8.1 KB
- Bytes / pixel
- 0.218
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: 1.1067 – 4.6591
Noise Fingerprint
- Variance
- 5.63
- Std deviation
- 2.37
- Mean
- 0.0
- Spatial corr.
- 0.455
- Mean Δ
- 0.80
- σ
- 0.83
- CV
- 1.038
- Uniformity
- -0.038