# AI Wardrobe — Full context for AI crawlers > AI-powered personal stylist and virtual wardrobe app. This file provides extended, machine-friendly context for language models and AI search engines. For the concise index, see /llms.txt. ## About AI Wardrobe (aiwardrobe.co) is a web-based AI stylist and virtual wardrobe app. Users upload photos of clothing they own, and the app organizes them into a digital wardrobe, then generates complete outfits based on real-time weather, occasion, and personal style. Available globally in English and Arabic (with full RTL layout support). Installable as a PWA. - Company: AI Wardrobe (Wardrobe.ai) - Website: https://aiwardrobe.co - Contact: support@aiwardrobe.co - Founded: 2024 - Languages: English (default at `/`), Arabic (at `/ar`) - Regional currency: USD, SAR, EUR, GBP ## What problem it solves Most people wear ~20% of what they own. AI Wardrobe helps users: - See everything they actually own in one place (digital closet). - Get daily outfit suggestions from their existing clothes — no shopping required. - Plan a full week of outfits accounting for local weather and calendar. - Preview looks with photorealistic virtual try-on before committing. - Identify wardrobe gaps and versatile capsule combinations. ## Core features (detailed) ### Digital wardrobe Upload photos of individual clothing items. AI (Gemini 2.5 Flash) auto-detects category, color, pattern, fabric, and season. Manual tagging supported for occasion, favorites, and custom notes. Items live in private, access-controlled storage with 1-hour signed URLs. ### AI outfit generation Complete outfits (top + bottom + shoes + optional layer/accessory) built exclusively from the user's real closet. Filtered by: - Live weather forecast (Open-Meteo API: temperature, precipitation, humidity, UV, wind) - Occasion (work, casual, formal, date, gym, travel, etc.) - Personal style profile (aesthetic preferences, favored colors, body proportions) - User gender preferences for styling constraints ### Virtual try-on Pro-only. Generates a photorealistic image of the user wearing a selected outfit using their personalized AI avatar (built from user photos and physical traits). Quick and Quality modes available. ### Weekly outfit planner Generates a 7-day outfit plan considering the local weather forecast and scheduled occasions. Prevents item repetition where possible. ### AI stylist chat Conversational assistant that respects the user's actual wardrobe, style, and constraints. Powered by Gemini 2.5 Pro for complex styling reasoning. ### Capsule builder Identifies wardrobe gaps and highlights the most versatile item combinations for a minimal, high-utilization closet. ### Color season analysis Personal color theory mapping (spring/summer/autumn/winter) based on user attributes (skin tone, hair, eyes). ### Style journal & analytics Calendar of worn outfits, per-item usage frequency, category distribution, and donation recommendations for unworn pieces. ### Brand wardrobes Optional integration with partner brand catalogs. Users can generate outfits mixing their real items with shoppable brand products (affiliate links). ## Pricing (verified from live database) All prices in USD. Regional pricing shown in-app in local currency. | Tier | Price | Billing | Wardrobe items | Outfits/day | History | Weekly plan | Virtual try-on | Priority AI | | --- | --- | --- | --- | --- | --- | --- | --- | --- | | Free | $0 | Forever | 20 | 1 | 7 days | No | No | No | | Pro | $9.99 | Monthly | 500 | 20 | 365 days | Yes | 30/month | Yes | | Pro Annual | $89.99 | Yearly (~$7.50/mo) | 500 | 20 | 365 days | Yes | 30/month | Yes | - Free tier acts as the trial: 1 outfit/day for 7 days after signup. - 14-day no-questions-asked refund policy on all Pro plans. - Payment methods: Stripe (cards, Apple Pay, Google Pay). - Cancel anytime; no long-term contract. ## Technology - Frontend: React, Vite, TypeScript, Tailwind CSS - Backend: Supabase (Postgres, Auth, Storage, Edge Functions) - AI models: Google Gemini 2.5 Flash (tagging), Gemini 2.5 Pro (styling, chat), Gemini image generation (virtual try-on) - Weather: Open-Meteo API - Localization: react-i18next (EN/AR with RTL) - Deployed on Lovable Cloud, primary domain aiwardrobe.co ## FAQ **What is AI Wardrobe?** AI Wardrobe is an AI-powered personal stylist app that creates outfits from clothes you already own, factoring in weather, occasion, and personal style. **How does AI outfit recommendation work?** Users upload item photos. AI auto-tags each garment, learns style preferences, and combines items into complete outfits using weather and context. **Is it free?** Yes — the Free plan is permanent (20 items, 1 outfit/day, 7-day history, AI auto-tagging). Pro unlocks larger closets, more daily outfits, planning, and virtual try-on. **Does it work in Arabic?** Yes — full Arabic localization with RTL layout at /ar. **How does virtual try-on work?** Pro users get a photorealistic image of themselves wearing a chosen outfit, generated from their own garment photos and a personalized avatar. **Is my data private?** Wardrobe photos live in private storage buckets. Access requires 1-hour signed URLs. Hardened row-level security policies scope every query to the owning user. **What weather data is used?** Real-time forecast from Open-Meteo based on user-configured or detected location. **Can I use it for a capsule wardrobe?** Yes — the Capsule Builder identifies versatile combinations and highlights gaps. **Does it support men and women?** Yes — outfit generation respects user gender preferences and styling constraints. ## Legal - Privacy Policy: https://aiwardrobe.co/privacy - Terms of Service: https://aiwardrobe.co/terms - Refund Policy: https://aiwardrobe.co/refund (14 days, no questions) - GDPR-compliant cookie consent (essential/functional/analytics) ## Key pages - Home: https://aiwardrobe.co/ - Home (Arabic): https://aiwardrobe.co/ar - How it works: https://aiwardrobe.co/how-it-works - About: https://aiwardrobe.co/about - Pricing / Pro: https://aiwardrobe.co/pro - Contact: https://aiwardrobe.co/contact - Sitemap: https://aiwardrobe.co/sitemap.xml