Outfit.ly - Virtual Try On

100 installs
2.00 ratings
8.00 monthly active users
$<10K monthly revenue est.
IAP 100% · Ad 0%

Outfit.ly - Virtual Try On Summary

Outfit.ly - Virtual Try On is a ad-supported, with in-app purchases iOS app in Tools by Rahul Dhulia. Released in Jun 2025 (8 months ago). It has 2.00 ratings with a 4.50★ (excellent) average. Based on AppGoblin estimates, it reaches roughly 8.00 monthly active users and generates around $<10K monthly revenue (100% IAP / 0% ads). Store metadata: updated Feb 3, 2026.

Store info: Last updated on App Store on Feb 3, 2026 .


4.5★

Ratings: 2.00

5★
4★
3★
2★
1★

Screenshots

App Description

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.

Privacy: https://fantasybooth.ai/apps/ai-cloth/privacy_ios
Terms of use: https://fantasybooth.ai/apps/ai-cloth/terms