Apps Like iWardrobes for iPhone and iPad
Ranked alternatives
Showing 61–80 of 1,000 ranked alternatives.



StyleBox
StyleBox Inc.
Shop personalized outfits and share looks
Browse curated shoppable outfits designed by stylists. Match with a personal stylist based on preferences and trends. Save and share outfits. Track style preferences and receive personalized recommendations. Buy items directly from the .


Furlenco
Kieraya Furnishing Solutions Private Limited
Rent, buy, or return furniture anytime
Browse and rent or buy bedroom, living room, and other home furniture. Filter options by style, size, and price. Schedule free delivery and installation within 72 hours. Make payments via no-cost EMI or upfront.






Whering: Your Digital Closet
Whering Ltd
Style and share outfits
Organize and manage clothing items with visual views. Track what is worn and how often. Receive style recommendations and inspiration based on personal wardrobe. Create outfits and save styling ideas for future reference.




The Clothing App Style Planner
MY STATIC SELF Ltd.
Plan outfits, track what you wore, share
Organize clothing items into categories and tags. Create and save outfits for events or daily use. Sync with a calendar to track what was worn and when. Generate packing lists for trips. Share outfits with friends to avoid duplicate purchases.

Stradivarius - Clothing Store
Industria de Diseno Textil, S.A.
Shop garments, add to favorites, checkout instantly
Browse seasonal collections, filter items by category and style. Add preferred garments to a favorites list. View product details and prices. Make purchases with one click. Receive notifications about new arrivals and promotions.




Dressly: AI Outfit Maker
TIKVEX LIMITED
Design outfits and style your look
Create a personalized style profile using a selfie. Analyze color type, body shape, and preferences. Suggest clothing combinations and styling tips. Generate designs based on preferences. Share style recommendations with friends.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.