Showing 61–80 of 1,000 ranked alternatives.
Twelve70 Inc.
Build outfits, track your wardrobe, set
Create outfits by selecting a clothing item and letting the generate coordinated looks. Set weather and formality preferences for tailored recommendations. Build a digital wardrobe to organize and plan outfits based on available items.
Kitme, Inc.
Sync purchases, plan outfits, get dressed
Organizes and tracks clothing items from email receipts. Synchronizes past and future purchases into a digital closet. Helps plan outfits and rediscover forgotten items. Allows users to build outfits for specific occasions. Syncs with Apple Health.
Himanshu Sethi
Snap, style, and organize your clothes
Organize clothing with AI tagging and auto-sorting by type, color, and season. Upload photos or batch import for quick setup. Recreate outfits from screenshots of Instagram or Pinterest. Generate style suggestions and track usage.
CAPSULE ApS
Digitize your closet and organize outfits
Digitize your closet to organize clothing items. Swipe through interactive styling to create new outfit combinations. Save and organize moodboards using items from your . Track clothing usage and receive style suggestions based on current trends.
Aliaksei Karatkou
Analyze outfits, get ratings, and receive style
Take a photo of your outfit in the mirror. Choose the purpose of your outfit. Receive ratings and fashion tips to improve your look. Get suggestions for small changes to enhance your style.
应芳 卢
Organize clothes and track outfits
Organize and track clothing items with detailed tags and categories. Create outfits and save favorites. Set reminders for cleaning and rotating items. Analyze usage patterns to identify unused pieces. Suggest purchases based on existing needs.
GIN STUDIO COMPANY LIMITED
Organize clothes, create outfits, plan trips
AI-powered suggests outfits based on style, body type, and clothing items. Organize digital closet with drag-and-drop sorting. Create outfits by selecting items and receiving styling tips. Save and share outfit combinations.
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.