Apps Like DressedUp for iPhone and iPad
Ranked alternatives
Showing 81–100 of 1,000 ranked alternatives.
Dripmax
Drip Max, Inc.
Snap, rate, refine your outfit
Take a photo of your outfit to receive a score out of 10 and analysis of fit and color. Get actionable tips for improvement and suggested items to add. Subscribe for ongoing feedback and style guidance.
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.
COLORS.ai
Jerry Zhao
Discover your seasonal color palette
Personalize your style with AI-driven color analysis. Discover seasonal palettes and receive outfit and makeup recommendations. Get tailored insights to choose hues that complement your features.
Rate My Outfit
Burak Akin
Outfits and get feedback
Allows users to upload full-length images for detailed ratings and evaluations. It provides expert feedback and suggestions for improving each clothing item. Users can receive personalized recommendations based on their style and occasion.
Strand - AI Hair snap Analysis
abbott jones
Upload photos, get hairstyle suggestions
Upload a photo for AI-generated hairstyle recommendations. View personalized styling tips and explore trending cuts tailored to your features. Get step-by-step guidance for styling techniques.
Dvibe - Join & Video
文龙 陈
Match dresses to your occasion and style
Create and share dress outfits based on occasion, body type, and style preferences. Get AI-generated outfit suggestions. Explore niche dress brands and exchange fashion tips with a community of dress enthusiasts.
Warmspring - AI Color Analysis
Spencer Yen
Find your season and outfit style
Take a selfie or upload a photo for . Identify colors and learn which outfits complement your style. Subscribe for full and unlimited outfit suggestions.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.