Does Snapchat Have Virtual Try-On for Clothes?

Snap has been building shopping features into its camera for years, and clothing try-on shows up across several of them. None of these are one single, branded "Snapchat Virtual Try-On" product. They are separate partnerships and tools Snap has rolled out at its own Partner Summit each year, aimed at specific brands rather than every merchant on the platform.

Does Snapchat have virtual try-on for clothes?

Snap's first real clothing try-on push came in May 2021, when it partnered with luxury platform Farfetch at that year's Partner Summit. The lens used 3D Body Mesh tracking so a shopper could try on full pieces, including an Off-White jacket, and switch between items using voice commands rather than tapping through menus. That partnership showed Snap's AR could handle a full garment, not just an accessory sitting in one spot on the body.

• May 2021: Snap and Farfetch launch an AR try-on lens with 3D Body Mesh, covering full outfits like an Off-White jacket, controlled by voice.
• April 2022: Snap releases Camera Kit for AR Shopping, an SDK that brings Snap's camera and AR lenses into a brand's own app instead of requiring Snapchat itself. Puma is the first global brand partner, for sneaker try-on.
• April 2023: Snap introduces the ARES Shopping Suite, including physical AR Mirrors for in-store use. Men's Wearhouse installs them in select locations ahead of the 2023 prom season, for suit and tuxedo try-on in front of the mirror.

What is Snap's Camera Kit for AR Shopping?

Camera Kit solves a specific problem for brands: a shopper does not always want to leave a retailer's own app just to try something on. Instead of routing shoppers into Snapchat, Camera Kit lets a brand embed Snap's camera and AR lens technology directly into its own product pages or app screens, running on both Android and iOS.

Puma launched first, letting a shopper point a phone camera at their own feet to see a pair of sneakers rendered on in real time, then buy without leaving Puma's app. Reporting from around the same launch also names smaller brands such as Goodr and Gobi Cashmere using the same kit for eyewear and accessory try-on. Every public example centers on shoes or accessories, items that sit in one fixed, predictable spot on the body, which is exactly the case AR camera tracking is built for.

What are Snap's in-store AR Mirrors?

AR Mirrors move the same underlying technology off a shopper's phone and onto hardware inside a physical store. Snap introduced them in 2023 as part of its ARES Shopping Suite, aimed at retailers who want a try-on moment as part of the in-store visit itself rather than something a shopper does at home.

Men's Wearhouse is the clearest named example: it installed AR Mirrors in select stores ahead of the 2023 prom season, letting a shopper stand in front of a mirror and see a suit or tuxedo rendered onto themselves before ever putting one on. Reporting on the rollout framed it as a way to speed up a season where store traffic spikes and fitting rooms get crowded, not as a permanent, storewide replacement for trying clothes on by hand.

Is Snapchat's try-on AI or AR, and why does that matter for clothing?

Every one of Snap's tools, Farfetch's lens, Camera Kit, and the AR Mirrors, works the same way underneath: a live camera feed with a digital object tracked and redrawn on top of it many times a second. That is augmented reality. AI virtual try-on vs AR filters covers the mechanical difference in full, but the short version applies directly here: AR is well suited to something that sits in one place on the body, like a shoe or a pair of glasses, and has a much harder time with fabric that drapes and moves differently across a person's whole frame.

That is a reasonable explanation for why Snap's own named case studies lean so heavily toward shoes and accessories, with full-outfit examples like Farfetch's jacket lens and Men's Wearhouse's suits standing out as the exceptions rather than the norm. AI virtual try-on takes a different path: a shopper uploads one photo, and an image generation model produces a new picture of them wearing a specific garment, following their actual shoulders, arms, and waist rather than tracking a camera feed in real time.

What does this mean for a store that is not a Snap partner?

Every example in this post is a named partnership Snap built with one specific brand: Farfetch, Puma, Men's Wearhouse. None of these are a self-serve feature a smaller retailer can switch on from a settings page, and each one depends on Snap's own roadmap and continued interest in retail AR, the same platform-dependency risk covered in TikTok Shop and Instagram's own social commerce try-on features.

Corlen takes a different route to the same goal: a shopper uploads a photo once, and Corlen generates an AI try-on result directly on a store's own Shopify product pages, in an in-store kiosk, or through a developer API, in about 10 to 15 seconds, with no Snap partnership, no in-store hardware, and no dependency on which brand a platform happens to be featuring that year. Try it on your own photo to see the difference directly.