TryPoint ‑ AI Virtual Try On

We run a wholesale fashion site, so the people using it are buyers ordering for their own retail stores, not end shoppers. Putting TryPoint on the site changed how they work through the line. A buyer can see how a garment actually sits on a real body before committing to an order, either on themselves or on a model that fits the customers their store sells to. On a wholesale order, where you're buying in bulk off a flat product photo, that takes out a lot of the guesswork.

Most try-on tools assume a direct-to-consumer store. We're wholesale, and TryPoint still fit. Our buyers can see how each garment looks on a real body, on themselves or on a model close to their own store's customers, before they place a bulk order. Makes committing to a line far less of a gamble.

James Cunningham

We run LeBeautiful and sell sexy, open-style outfits, so virtual try-on has always been a struggle. Most try-on apps either refuse to generate anything (sensitivity filters) or they “solve” it by warping the body and skewing the garment, which makes everything look artificial, painted, and honestly kind of cringe.

TryPoint blew past our expectations. The try-ons actually look like real photos, not AI. The garments stay accurate, the output is clean, and it feels like something we can confidently put in front of customers.

Since adding TryPoint, we’ve been getting consistent positive feedback from shoppers, and it’s helped customers feel more confident in what they’re buying. That’s translated into better conversion and fewer returns for us.

If you sell anything remotely challenging for other virtual try-on apps, especially styles that tend to trigger filters or cause distortion, TryPoint is the first one we’ve used that genuinely works.

I tested a bunch of virtual try-on apps and most of them couldn’t handle my bikini styles. Between content restrictions and how open the garments are, the results were either blocked, distorted, or just looked awkward.

TryPoint was the exception. It handled even the challenging pieces and the output looked natural, not “AI-ish.” Even when customers upload a regular, casual photo, the try-on still comes out clean and believable, and the garment details stay accurate. That’s what impressed me most: it doesn’t ruin the product, and it doesn’t make the try-on experience look cringe.

TryPoint is the first one I’ve seen that feels genuinely usable for real commerce.

I’ve tried basically every virtual try-on app on the Shopify App Store, and TryPoint is the most accurate by far. The output looks the best out of every example I tested. The fit and drape feel more believable, the visuals are cleaner, and the results look premium instead of “AI-ish.”

I asked the team straight up: “Why is it so accurate? How are you achieving this?” It turns out they’re participants in the Google for Startups program, with access to the most up-to-date Google virtual try-on models. They’re using a specialized model and collaborating closely with Google to make it work as well as possible. The results are consistently sharp and polished.

For a swimwear wholesaler brand, realism matters. With TryPoint, the images came out far beyond expectations and genuinely miles ahead of anything else I found on the App Store.

TryPoint is the first virtual try-on experience I’ve tested that feels like it’s moving in the right direction fast. What sold me was the speed of execution and how responsive the team is to real merchant feedback.

I asked for back view try-on because, for apparel, front-only is not enough. They shipped the back virtual try-on in 2 days, and they’re using the latest Google virtual try-on AI model (it was released just days ago and it’s already integrated). That kind of shipping cadence is rare.

I also appreciate that the team actually thinks about the full conversion journey, not just the “cool AI demo.” They’ve been open to ideas like improving the customer-facing flow, making results more shareable, and building better ways to operationalize VTO outcomes. It feels like a product that’s being built with merchants, not just for merchants.

If you want try-on that’s improving quickly, with a founder-led team that listens and ships, this is a strong choice.