23 Daily — Meta quietly launched Style Sketch, an AI-powered fashion app, on October 29, 2026, that helps users create outfit ideas from clothes they own. The app connects to users’ Instagram accounts to build a virtual closet from posted photos or allows manual addition by snapping photos, recording videos, or uploading images from the camera roll. The app is available on iOS and Android in Indonesia, Singapore, and Thailand, according to techcrunch.com.

AI integration with Instagram enables personalized virtual wardrobe

Style Sketch automatically gathers clothing images from users’ Instagram posts or lets them add items manually. The AI then suggests outfit combinations based on the wardrobe and allows users to try virtual outfits on models tailored to their body shape and skin tone. This realistic visualization helps users explore styles more intuitively and efficiently.

Additionally, the app assists with travel outfit planning by incorporating destination, trip duration, and activities alongside weather forecasts and itinerary to generate day-by-day outfit recommendations.

Competing through integration and personalization amid existing solutions

Several startups and major players like Google have launched apps to digitize wardrobes and visualize outfits. Meta’s approach emphasizes tight Instagram integration to leverage users’ existing style records and visual content, offering more personalized experiences.

Users can select specific garments in their wardrobe to receive tailored outfit ideas, avoiding random suggestions and enhancing relevance. This feature encourages ongoing engagement.

Editor's take: Leveraging social data and AI to differentiate fashion tech and inspire startups

Style Sketch demonstrates how combining social media data with AI enables creation of personalized virtual closets adapted to users’ body and skin. For entrepreneurs, it underscores the value of cross-platform data integration and AI-driven personalization, highlighting business potential in fashion tech innovation.

Verifying such products’ impact involves measuring user engagement and acceptance of outfit recommendations, then refining algorithms accordingly. Startups aiming to digitize fashion should focus on familiar social platforms, seamless item addition, and personalized suggestions as key areas to test and optimize.