Apps Like Red Leopard: Color Match for iPhone and iPad
Ranked alternatives
Showing 61–80 of 1,000 ranked alternatives.
Velluna: Color analysis
Shan Shan Huang
Find your season instantly
Analyzes skin tone, undertone, hair, and eye to determine your season. Provides personalized clothing recommendations and makeup shades that flatter your natural coloring. Displays results in the 12-season system.
Color Collect - Palette Studio
WXColor Tech Co., Ltd.
Capture colors from photos
Select colors from real-world photos using a picker. Adjust circles to refine shades manually. Generate random combinations for creative exploration. Save and share favorite palettes.
Fytted: Fashion AI Stylist
All Athlete Inc.
Measure body dimensions and try on clothes
Take body measurements with precision using advanced technology. Try on virtual outfits from multiple brands. Mix and match items to create custom looks. Get personalized clothing recommendations based on body type.
Tint: Color Analysis & Palette
Alina Karpenko
Find your colors and style
Upload a selfie for instant personal based on 12-season theory. View recommended colors for clothing, makeup, and hair. Get style suggestions tailored to your skin tone and features.
Pocket Palette
Penpyre, LLC
Create color palettes and edit schemes
Create color palettes from scratch or based on a sample. Add or remove colors to refine the scheme. Organize palettes into collections for different projects. Adjust individual colors for precise customization.
What Color Is This?
Nicholas Troia
Identify any color instantly with camera.
The app identifies colors using the device camera, providing names, HEX, RGB, and HSL values. It offers color matching across over 25 libraries and simulates color vision deficiencies.
Wellness Aesthetic Watch Face
vellum studio LLC
Customize faces in one tap
Customize Apple with 1,000+ original faces, including animated and seasonal designs. Add complications and widgets. Create custom emojis. Install faces with a single tap.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.