Analysis by Is It AI?
Why this verdict can be trusted
What we analyzed
We classified this image as likely human-made with 90% confidence.
How Is It AI? classifies images
Is It AI? uses deep-learning models trained on millions of labeled images, spanning both camera-captured photographs and outputs from contemporary generators like Midjourney, DALL-E, Stable Diffusion, Nano Banana, Flux, and others. The models analyze each image for pixel-level artifacts, frequency-domain noise patterns, and generator-specific signatures that the human eye typically misses.
The result is a probabilistic detection signal, not absolute proof. For high-stakes decisions like newsroom verification, fraud investigation, or evidence review, combine it with source verification, metadata review, reverse image search, and human judgement.
Common signs of human-made images
Camera-captured photographs tend to carry physical fingerprints that AI models still struggle to reproduce. Common cues:
- Natural skin texture with visible pores, fine asymmetry, and stray hairs
- Consistent lighting, shadows, and reflections that match a single light source
- Lens-specific artifacts: chromatic aberration, vignetting, sensor noise
- Sharpness that falls off with depth-of-field, not uniformly across the frame
- EXIF metadata that survived (when available) showing camera, lens, and capture date
These are heuristics, not guarantees. A skilled retoucher or a newer generator can defeat any single cue. Always cross-check.
About public detection results
A user chose to publish it. Detection results on IsItAi.com are private by default; only user-published results have a public page.
No. The result is a detection signal based on visual patterns, not absolute proof. For high-impact decisions, combine it with source verification, metadata review, reverse image search, and human review.
No. A public result page is created only when a user explicitly chooses to publish their result.
Is It AI? achieves 95%+ accuracy across 10+ major AI image generators in independent third-party benchmarks. Accuracy varies by generator and image content, so we recommend testing with your own images and using the result as one signal alongside source verification.
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