Apps Like Tanning app & uv index - Rays for iPhone and iPad
Ranked alternatives
Showing 21–40 of 1,000 ranked alternatives.


SunSafe: Beam Tanning & UV
HARSHVA TECHNOLOGIES PRIVATE LIMITED
Track UV levels and manage SPF use
Track UV index in real time and set alerts for high exposure. Monitor skin type and tan progress. Adjust SPF recommendations based on location and time of day. Share UV data with others. Sync with wearable devices for continuous monitoring.




TanTime-Tanning & UV tracker
Sorrohemid Digital LLC
Tan safely with AI guidance
Customize tanning routines based on skin type and goals. Select preferred skin tones and monitor progress over time. Receive expert recommendations for safe tanning practices. Track session duration and intensity. Adjust settings for optimal results.



Sunkissed – SPF Tanning App
Lunar Apps LLC
Track UV exposure and build schedules
Create a personalized schedule and track UV exposure in real-time. Set goals for daily Vitamin D intake. Receive alerts based on skin tone. Access UV forecasts and widgets for quick reference. Monitor burn risks with real-time updates.


TanLines - Tanning Assistant
Giig ApS
Track UV levels and create routines
Track UV index and skin type to create personalized routines. Set goals and receive notifications based on real-time UV data. Adjust routines according to weather conditions and skin sensitivity. Monitor progress over time.





Tanning App: Beamy
DANIEL PETRISOR ATITIENEI
Plan tans based on UV index
Track UV index based on location. Create personalized plans using skin type and goals. Receive real-time UV updates and sun safety advice. Set reminders for sunscreen application and sessions. Monitor progress toward objectives.

Skin Tanning, Rayz Fasting
Ghenadie Spilinicenco
Track UV levels and tan safely
Track UV exposure and tone to determine optimal tanning times. Set reminders for reapplying SPF and taking breaks. Monitor tanning progress and receive alerts based on real-time environmental data.



How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.