Apps Like Cinched for iPhone and iPad
Ranked alternatives
Showing 121–140 of 1,000 ranked alternatives.
shoppin: AI discovery & try-on
USAR COMMERCE TECHNOLOGIES PRIVATE LIMITED
Shop fashion instantly, browse endlessly, buy
Shop by browsing an endless feed of fashion items tailored to your style. Use AI to find products matching your preferences. Paste links, upload screenshots, or describe items to search across brands. Add products to cart and checkout directly.
Ai Stylist App
Digital Dynasty Group LLC
Style with AI-curated outfits
Create personalized style photos based on body measurements and preferred colors. Suggest flattering outfits using AI analysis. Recommend real shopping options tailored to user preferences.
Virtual Try On: Outfit Planner
Codabrasoft LLC
Try on clothes virtually
Plan outfits using AI to suggest style combinations based on preferences and occasion. Virtually try on clothes, dresses, and accessories using augmented reality. Organize wardrobe items and create mood boards for different outfits.
Aiuta – AI Stylist
Aiuta USA, Inc.
Try on outfits, get style feedback, discover
Create and manage an outfit gallery with drag-and-drop styling. Virtually try on clothing items using AI-powered fitting. Receive style suggestions and feedback from AI stylists. Save and share outfit ideas with customizable tags and descriptions.
Garde-Robe: Shop with Friends
Garde-Robe Inc.
, track receipts, resell items
Browse products while shopping on Safari or retailer apps and share them to the . View what are buying and liking. Import email receipts to create a digital wardrobe. Resell items directly from the . Organize purchases and track resale options.
EasyCloset: Personal Stylist
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.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.