MyEye is an AI eye colour identifier for iPhone and Android. Point the camera at an eye and it analyses the iris, then reports what it finds: the dominant and secondary colour across brown, blue, green, hazel, amber and grey, an estimate of how rare that colour is, where in the world it is most common, and an enhanced portrait of the iris. Free to download on the App Store and Google Play. The rarity figure and the geographic map are there for interest, not as a medical assessment.
AI iris analysis that identifies dominant and secondary eye colour across brown, blue, green, hazel, amber and grey
Rarity estimate showing how uncommon your eye colour is
Geographic distribution map of where that colour is most common
AI iris photo enhancement for a clean close-up portrait
Free on iOS and Android, no signup to try
Curiosity: finding out what your own eye colour actually is and how common it is
Getting a clean, enhanced close-up photo of an iris without editing it by hand
Settling family debates about whether eyes are hazel, green or amber
Comparing eye colours between photos taken in different lighting

We built MyEye after one too many arguments about whether someone's eyes are hazel or green. Point the camera at an iris and it gives you the dominant and secondary colour, an estimate of how rare that combination is, and a cleaned-up close-up photo. The rarity figure is there for curiosity, not as any kind of medical reading. Free on iOS and Android - genuinely keen to hear what you'd want it to do next.
Fun idea, and the hazel-vs-green argument is very real. Since one of your use cases is comparing photos taken in different lighting: do you correct white balance before classifying, for example by using the white of the eye as a reference? Warm indoor light can push grey or blue toward hazel. We run a photo-based palm reader, and one thing that helped us was declining unclear photos with a 'retake in better light' hint instead of guessing. Showing a confidence level next to the colour (or 'between hazel and green') might also settle more family debates than a single answer.

We built MyEye after one too many arguments about whether someone's eyes are hazel or green. Point the camera at an iris and it gives you the dominant and secondary colour, an estimate of how rare that combination is, and a cleaned-up close-up photo. The rarity figure is there for curiosity, not as any kind of medical reading. Free on iOS and Android - genuinely keen to hear what you'd want it to do next.
Fun idea, and the hazel-vs-green argument is very real. Since one of your use cases is comparing photos taken in different lighting: do you correct white balance before classifying, for example by using the white of the eye as a reference? Warm indoor light can push grey or blue toward hazel. We run a photo-based palm reader, and one thing that helped us was declining unclear photos with a 'retake in better light' hint instead of guessing. Showing a confidence level next to the colour (or 'between hazel and green') might also settle more family debates than a single answer.
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