Outfit.ly - AI Cloth Try On
Outfit.ly - AI Cloth Try On has 172,486 installs (+0.4% this week), #4,936 of 151,777 in Lifestyle.
Unusual numbers: 172,486 installs and no ratings shown on the US store - too few to cross-check an install count this size. It is left out of StoreTally's risers, breakouts and new listings.
Description
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✨ Try On Fashion Instantly with AI! ✨
Step into the future of fashion with Outfit.ly, the ultimate AI-powered virtual try-on app that lets you see yourself in stunning outfits without ever changing your clothes! Just upload your photo, choose your favorite style, and let our advanced AI dress you up in seconds!
🎯 Why Outfit.ly?
Whether you're exploring new fashion styles, planning your next outfit, or just having fun with friends, Outfit.ly brings your wardrobe dreams to life with just a tap.
👗 Explore Diverse Fashion Categories
Choose from a wide range of styles tailored for both Women and Men:
💃 Female Styles:
- Indian Traditional
- Thai Traditional
- Girly Girl
- Minimalist
- Evening Dress
- Fashionista
- Artsy Style
- Winter
- Summer
- Costume
- Wedding
- Warrior
- Christmas
🕺 Male Styles:
- Indian Traditional
- Thai Traditional
- Elegant
- Sporty
- Fashion
- Casual
- Costume
- Top
- Jacket
- Warrior
- Christmas
📸 How It Works
- Upload your photo
- Pick your favorite outfit style
- Watch as AI dresses you up instantly
- Save & share your new look on social media!
🔥 Key Features
- Realistic AI Outfit Try-On
- Multiple fashion styles across cultures and seasons
- Easy photo upload
- One-tap sharing & saving
Perfect for fun, planning outfits, or fashion inspiration.
Reviews The reviews Google Play shows first (its most relevant), from the US store, in any language.
Search Android reviews - every stored review from the store, not only this listing's.
Growth change in installs
| Per | Growth | Growth % | Actual change | Measured over |
|---|---|---|---|---|
| day | Not enough history yet | |||
| week | +750 | +0.4% | +781 | 7.3 days |
| month | Not enough history yet | |||
| year | Not enough history yet | |||
How these figures are measured
Change in installs, scaled to each window from the real gap between crawls. A window needs a full period of history before it reports anything.
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