Apps Like Stashed - Wardrobe for iPhone and iPad
Ranked alternatives
Showing 381–400 of 1,000 ranked alternatives.


StyleHack
Christine Nicole Simmons
Upload photos, get outfit analysis
Analyze uploaded outfit photos for style insights and professional feedback. Receive instant fashion reviews with trend alignment suggestions. Highlight fashion strengths to boost confidence. Offer personalized style tips and hacks for improvement.



Associate Fine Drycleaners
Vodjo Teknologi Indonesia, PT
Clean garments with precision and care
Schedule dry cleaning pickups and drop-offs. Track order status and payment history. View care instructions for specific fabrics. Receive notifications for completed services. Access a guide on proper garment storage and maintenance.

AFD - Driver
Vodjo Teknologi Indonesia, PT
Clean garments with precision and care
Clean and preserve garments with specialized dry cleaning and laundry services. Schedule pickups and drop-offs, track order status, and receive care instructions. View garment details and maintenance tips for different fabrics.


Try On AI - Try Clothes Via AI
NANBIS SOFTWARE TEKNOLOJI SEYAHAT VE TURIZM HIZMETLERI ANONIM SIRKETI





AI Clothes Changer - Hairstyle
Kerem Demir
Try on outfits with AI
Upload a full-body photo to try on clothing virtually. Use AI to apply outfits to the image. Adjust fit and style options. Share results directly from the .


CAPSULE - Wardrobe
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.


Style My Look - AI Try On
dor avidan
Try on outfits with AI camera
Upload a photo and any clothing item to visualize how it looks on you. AI drapes garments realistically, adjusting for fit, lighting, and texture. Try outfits from anywhere using store images or screenshots.



How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.