Chart standing · US
Ratings breakdown · US
The star breakdown behind this app's rating in this storefront.
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About
Ever looked up, seen a plane leaving a long trail across the sky, and wondered: is that just exhaust… or something else? SkySniffer is an AI-powered sky camera that analyzes the trail behind any aircraft and tells you what you're actually looking at: Cloud seeding — deliberate weather modification using under-wing flares Normal aircraft output — contrails, engine exhaust, or airshow smoke Just point your camera at the plane and tap Scan. SkySniffer evaluates: Where the trail originates on the aircraft Trail density and how long it persists Altitude relative to surrounding clouds Number of separate release points You get a clear classification, a confidence score, and a plain-English explanation. Why People Use SkySniffer Weather modification is real. Cloud seeding and geoengineering programs are funded by water districts, ski resorts, and governments around the world — but most people can't tell a seeding aircraft from an ordinary jet. SkySniffer helps you decide for yourself instead of guessing. What You Get AI photo analysis powered by advanced vision models Three results: Cloud Seeding, Normal Smoke, or Unclear Confidence score with an explanation for every scan Pattern breakdown (e.g. "Under-wing flare plume", "Engine exhaust contrail") Local scan history stored on your device Privacy-First No account required No tracking Photos are sent once for analysis, nothing more Important SkySniffer is an educational tool, not a source of scientific proof. All classifications are AI-generated and meant for curiosity and learning. They should not be treated as evidence of weather modification activity. Always verify with official sources before drawing conclusions. Terms of Use (EULA): https://www.apple.com/legal/internet-services/itunes/dev/stdeula/
What's new · 1.1
SkySniffer now classifies aircraft trails as Cloud Seeding or Normal Smoke. We retrained the analysis around weather-modification flares vs. standard contrails and rewrote every screen to match. Scans from earlier versions are cleared so the new classifications stay accurate.
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