dressup.ai
Alexey Mamonov Shopping iPhoneiPadiPod touch
dressup.ai is a free Shopping app for iPhone and iPad by Alexey Mamonov. Rated 5.0/5 from 2 ratings. Requires iOS 16.0. Updated July 20, 2026.
- Rating
- 5.0
- 2 ratings
- Price
- Free
- on the App Store
- Size
- 147 MB
- Age 4+
- Updated
- Jul 20
- 2026 · v1.0.16
Screenshots
About dressup.ai
No more “I have nothing to wear” panic or endless scrolling while shopping. DressUp helps you transform your wardrobe into stylish outfits in minutes. DressUp is your free personal AI stylist that creates a clean digital wardrobe, builds outfit ideas from clothes you already own, and helps you shop smarter by recommending matching pieces from brands you love. No stylist fees. No “what to wear today?”. No endless browsing. No risky purchases. Just upload a few items and get outfit ideas in minutes. Why You’ll Love DressUp Free AI stylist A real stylist can charge hundreds of dollars to review your wardrobe, create outfits, and help you shop. DressUp does similar work in minutes — for free. Clean digital wardrobe Take photos of your clothes lying flat, on hangers, or upload a selfie. DressUp creates studio-quality item images, organises them by category, season, and style, and helps you see everything you own. Outfits from your clothes Get AI outfit ideas built from your real wardrobe. Not random combinations. Not generic inspiration. Stylish looks matched by style, colour, season, occasion, weather, body shape, and your preferences. Any time you need to dress up, just open the app and choose an outfit from your favourites. No more “I don’t know what to wear today.” Wardrobe analysis See what you wear often, what you ignore, what feels outdated, and what your wardrobe is missing. Bring forgotten clothes back into rotation. Smart shopping matches When you want something new, DressUp recommends clothes, shoes, bags, and accessories that match your wardrobe, budget, body shape, and favourite brands. No more endless scrolling while shopping. No more buying items that don’t go with anything. See possible outfits with recommended items and your own clothes before you buy, so you can shop smarter and return less. How It Works - Upload 5–10 clothing items to get started. - DressUp creates clean item images and builds your digital wardrobe. - Set your brands, budget, body shape, and style preferences. - Get stylish outfit ideas from the clothes you own. - Get shopping recommendations for matching items from brands you love. Start small and build your wardrobe over time. Upload 5 items to try DressUp, or 10+ for better outfit results. Just take quick photos of clothes lying flat, on hangers, or use pictures already on your phone. From scratch, 10 items usually take less than 5 minutes; saved photos take less than a minute. For the best results, start with items you wear often or pieces you want to bring back to life. Do it once, then DressUp helps maintain and improve your wardrobe automatically. You don’t need a bigger closet. You need a smarter way to use it. Download DressUp today. It is Free. Your free AI stylist is waiting.
What’s new
Version 1.0.16 · Updated July 20, 2026
Your wardrobe just got smarter! You can now upload items from your own wardrobe. Our AI Styling Machine will combine them with pieces from your favorite brands to create stylish outfits just for you. Discover new looks that blend what you already own with items you can shop right away.
App privacy
The developer, Alexey Mamonov, reported these privacy practices to Apple.
Data Used to Track You
The following data may be used to track you across apps and websites owned by other companies:
- Identifiers: Device ID
- Usage Data: Advertising Data
Data Linked to You
The following data, which may be collected and linked to your identity, may be used for the following purposes:
- Identifiers: Device ID
- Usage Data: Advertising Data
Used for: Developer’s Advertising or Marketing, Analytics
Data Not Linked to You
The following data, which may be collected but is not linked to your identity, may be used for the following purposes:
- Usage Data: Product Interaction
- Contact Info: Email Address
- Identifiers: User ID
- Diagnostics: Crash Data
Used for: Product Personalization, App Functionality