Korean Skincare & Makeup Tips app icon

Apps Like Korean Skincare & Makeup Tips for iPhone and iPad

Try routines and beauty

Plan and follow personalized routines with step-by-step guidance. Track product usage and skin improvements. Access tutorials on cleansing, hydrating, and nourishing techniques. Set reminders for daily tasks. Share progress with others.

by Riafy Technologies Private Limited★ 4.723 ratingsLifestyleFreeData updated 2026-09-06
App detailsView in App Store

Ranked alternatives

Showing 161–180 of 1,000 ranked alternatives.

  2. Trueskin: Skin Care Scanner app icon

    Trueskin: Skin Care Scanner

    Joshua Parker

    Scan , get analysis, track progress

    Scan with AI to assess acne, redness, oiliness, pores, and texture. Receive personalized skincare routines and product recommendations. Track progress over time with detailed analysis and routine tips.

    ★ 4.99 ratingsHealth & FitnessFreeData updated 2026-09-06
    App details
  5. Style AI -Face shape detector app icon

    Style AI -Face shape detector

    Mitul Golakiya

    Analyze faces and suggest styles

    Upload a selfie to analyze facial features like jawline, cheekbones, and forehead. Receive personalized suggestions for hairstyles and makeup. Explore tips for improving skin glow and facial contours. Try virtual outfits for guidance.

    ★ 4.216 ratingsLifestyleFreeData updated 2026-09-06
    App details
  14. Flossom app icon

    Flossom

    Guangdong Shiguang Yanjiusuo Beauty Technology Co., Ltd.

    ★ 0.00 ratingsUtilitiesFreeData updated 2026-09-06
    App details
  17. Sunny Pal app icon

    Sunny Pal

    With Bytes LLC

    Create tanning routines based on skin tone

    Track UV index and optimal tanning times based on location. Analyze skin tone via selfie for personalized routines. View progress over time. Set home screen widgets for quick weather updates. Follow step-by-step tanning guidance.

    ★ 4.9824 ratingsWeatherFreeData updated 2026-09-06
    App details

How we rank alternatives

Apps are ranked by functional similarity, category fit, rating confidence, and popularity.