Love it, simple to use
The AI try on feature is intuitive to use. I can view it before putting on
Free
In-App Purchases
About
Digitize your wardrobe, curate outfits with AI, and virtually try on clothes. Organize items, track sizes, and discover new looks from your existing closet. Perfect for fashion enthusiasts and busy individuals seeking efficient styling.
✓AI-generated outfits from your wardrobe
✓Comprehensive wardrobe catalog with size tracking
✓Advanced filtering and search
✓Outfit planning and management
✓AI-assisted styling templates
✓Multi-language support
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What's New in AI E
1.0.9
August 7, 2026
Minor fixes
3
In-App Purchases
$0.99
Starter Pack
Try out AI Try-On feature
User reviews
FAQ
What is AI E-Closet?
AI E-Closet helps you digitize your wardrobe, create outfits using AI, and virtually try on clothes. It organizes your items and helps you rediscover what you already own.
How does AI E-Closet generate outfits?
The app uses AI to create smart looks from the clothes you've added to your digital wardrobe. It can also merge existing items to suggest new outfit combinations.
Can I organize my clothes by size in AI E-Closet?
Yes, AI E-Closet allows you to add, edit, and categorize items with subcategories and precise size information for detailed organization.
Is AI E-Closet available on Android?
Based on the provided information, AI E-Closet is supported on iPhone and iPad. Android compatibility is not specified.
How often is AI E-Closet updated?
The app was last updated on August 7, 2026, with version 1.0.9. Dynamic remote configuration allows for feature updates without requiring new app releases.
What languages does AI E-Closet support?
AI E-Closet offers multi-language support, with built-in localization for English and Chinese.
Does AI E-Closet have ads?
The app description mentions "optional ads" as part of a free, connected experience. Users can unlock premium features via in-app purchases.
What is the user sentiment for AI E-Closet?
AI E-Closet has a high rating of 5.0 stars from 1 rating, suggesting positive initial user sentiment.