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Meta's New AI Stylist App Builds a Closet from Your Photos. It's Only in Three Countries for Now
Meta has quietly launched Style Sketch, a free app that builds a virtual closet from your photos and suggests outfits. It is live only in Indonesia, Singapore and Thailand, and Meta has not said when it will reach other countries.
Published Nov. 2, 2026, 06:33 GMT
Last updated: 2 Nov 2026References
What it does
Style Sketch, first spotted by social media consultant Matt Navarra around 29-30 October, is on iOS and Android in three countries. According to Engadget and The Mobile Indian, it can:
- Build a virtual closet from your Facebook and Instagram photos, or from your camera roll, new snaps or short videos.
- Suggest outfit combinations, or build a look around one item you want to wear.
- Show outfits on a virtual model matched to your body shape and skin tone.
- Plan a daily outfit using the weather, and a day-by-day plan for a trip.
- Let you send two outfits to a friend to vote on.
It is free, according to The Mobile Indian. Meta declined to comment on a wider rollout, TechJuice reported.
The questions to ask before you upload
A closet built from your photos means an app analysing pictures of you, and possibly other people in them. Before using any wardrobe app:
- Read which photos it can access. On iPhone and Android you can allow only selected photos rather than your whole library.
- Check whether body-shape and skin-tone details are stored and whether you can delete them.
- Remember that photos of friends are their data too.
The competition
Meta is late to this idea. Google Photos has a Wardrobe feature, Google Search has offered AI try-on since 2025, ChatGPT can do try-on, and start-ups such as Alta are built around it. Meta's possible edge is the years of outfit photos many people have already posted to Instagram.
Can you get it outside those countries?
Not officially. We do not recommend side-loading apps from unofficial download sites to get around regional limits, because modified app files are a common way to spread malware.
How we wrote this: our staff read the reporting listed below, checked the facts against more than one source where possible, and wrote this piece in our own words. Anything not confirmed is labelled. Spotted a mistake? Tell us.
