Wardrobe Max

Transform your wardrobe with on-device Apple Vision AI cutout, infinite collage outfit planning, smart calendar wear tracking, and real cost-per-wear analytics.

Curate your personal style, optimize your wardrobe, and build stunning outfit collages with Wardrobe Max — your private, intelligent digital closet.

Powered by Apple's native on-device Vision AI, Wardrobe Max instantly isolates your clothing items with transparent backgrounds without uploading photos to the cloud. Organize every piece you own, create limitless lookbook collages, plan your daily outfits with the visual calendar, and discover intelligent cost-per-wear (CPW) insights.

KEY FEATURES:

• ON-DEVICE APPLE VISION AI CUTOUT Snap a photo or choose from your library — our native Apple Vision integration automatically extracts clothing items with transparent backgrounds for clean collage building. Zero cloud delay, 100% private.

• COLLAGE OUTFIT BUILDER Drag, pinch to zoom, rotate, and layer your clothing items on a freeform digital canvas. Create magazine-quality mood boards and lookbooks for any occasion.

• SMART CLOSET CATALOG Organize tops, bottoms, dresses, outerwear, shoes, bags, and accessories. Filter effortlessly by category, season, color, and brand with instant search.

• CALENDAR OUTFIT LOGGING Track what you wear each day on an interactive calendar. Add wear notes and look back at your style history with weekly timeline previews.

• IN-DEPTH STYLE & CPW STATS Unlock smart analytics on your closet:

• Total wardrobe valuation
• Average Cost Per Wear (CPW)
• Most worn vs. unworn clothing leaderboard
• Wardrobe color distribution charts

• 100% PRIVATE & ON-DEVICE Your clothing photos and style data stay strictly on your device. No account sign-up required, no ads, and full JSON data export anytime.

Download Wardrobe Max today and discover the smarter, more stylish way to manage your closet! Privacy Policy: https://www.2best2.com/privacy/SavingDiary-en.html Terms of Use (EULA): https://www.apple.com/legal/internet-services/itunes/dev/stdeula/