Authenticate · /analyzeLimits & caveats
Run a photo or video through the lab.
Phenomainon runs a battery of independent pipelines on your upload: AI object detection, a custom aircraft classifier trained on our own datasets, mundane-object findings, scene context, a computed sky report (planets, bright stars, satellite passes at the capture place and time), cloud identification, a lens-artifact check, motion-event tracking, and forensic authenticity checks against metadata, frame duplication, scene cuts, and audio splices — plus an optional AI second opinion. Nothing is stored — the file is deleted as soon as we read it, unless you choose to save it with an identification suggestion on an Unknown result.
Heuristic provenance check · not deepfake / GAN detection
Upload
Drag a photo or video here, or pick one from your device. Up to 500 MB.
- Up to 500 MB. Files under 4 MB stream straight to the proxy. Larger files upload to blob storage and run through an async job queue with progress polling — same result, just longer wait.
- Videos take time. Inference runs on CPU. A 30–90 second video can take tens of seconds.
- Authenticity is not deepfake detection. It flags editing and handling artifacts — signs of cuts, re-encoding, missing provenance — not AI-generated content.
- “Unknown” means unknown to this model. The classifier knows a fixed set of aircraft types. When margin, spread, and frame agreement don’t support a match it reports Unknown and shows the closest shape as context only — that is a statement about the model’s limits, not a claim about what the object is.
- Similar airframes can read alike. Measured on held-out training images, lookalike types still get confused — a Rafale can read as a JAS-39, a B-21 as a B-2. Corroborate anything that matters.