

OutfitScore Pro
OutfitScore is an AI-powered fashion platform that uses advanced computer vision technology to analyze outfit photos, providing users with personalized style insights and recommendations. The platform's core functionality includes color and fit analysis, style consistency...
Cost / License
- Freemium (Subscription)
- Proprietary
Platforms
- Online
- Self-Hosted
- Software as a Service (SaaS)
Features
- Personalized Recommendations
- AI-Powered
- Image recognition
Tags
- outfits
- fashion
- healthy-lifestyle
- Web Application
- Software as a Service
- photography
- lifestyle-app
- beauty
- analytics
OutfitScore Pro News & Activities
Recent activities
tryonwise added OutfitScore Pro as alternative to TryOnWise- ssdevproject added OutfitScore Pro
- Maoholguin updated OutfitScore Pro
ssdevproject added OutfitScore Pro as alternative to Outfit Anyone, OutfitAI, GlamAR and SnapLook
OutfitScore Pro information
What is OutfitScore Pro?
OutfitScore is an AI-powered fashion platform that uses advanced computer vision technology to analyze outfit photos, providing users with personalized style insights and recommendations. The platform's core functionality includes color and fit analysis, style consistency, aesthetic appeal, and occasion appropriateness, with each outfit receiving a comprehensive score. Users can choose from three service tiers: Free, Premium, and Professional, with varying levels of detailed analysis and recommendations.
The platform utilizes Google AI computer vision models, custom fashion algorithms, and supports multiple image formats. It is designed to appeal to fashion-conscious individuals seeking to build confidence, understand fashion principles, improve personal style, and make informed clothing purchases.
OutfitScore's value proposition is to eliminate outfit uncertainty, provide instant professional feedback, build style knowledge, and offer actionable improvements. It positions itself as a "personal AI stylist," making professional styling services accessible to everyone.







