Tryonic AI
Powering the Next Generation of Virtual Try-On.
All-in-one Al solution for the fashion industry, integrating virtual try-on and design simulation technologies to streamline the creative process and deliver an exceptional shopping experience.
Features
- Tryonic Al Studio - Virtual Model Generation: Create lifelike virtual models from photos or design sketches to streamline the design process, reduce sample production costs, and accelerate collection launches.
+ Ready Design to Virtual Model
+ Sketch to Virtual Model
- Tryonic Al Fitsize - Size Prediction: Automatically analyzes body measurements from photos to suggest the most accurate size. It helps reduce sizing errors, save consultation time, and minimize returns for online purchases.
- Tryonic AI SDK - Easy Integration: Seamlessly integrates virtual try-on capabilities into existing websites or mobile apps to boost conversion rates and deliver a realistic shopping experience.
- Tryonic Al Mirror - In-Store Virtual Try-On: Installed directly in traditional retail stores and product showrooms, it lets customers instantly try on outfits virtually, creating an engaging experience while reducing fitting room congestion and saving time.
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Comments
Virtual try-on is the "holy grail" for reducing return rates in e-commerce, but the tech is usually clunky. I’m impressed by the design simulation angle. Does the AI account for different fabric weights and how they drape on a 3D model, or is it primarily focused on static fit? That would be a massive differentiator for the creative side of the industry.
Hi everyone We’re the team behind Tryonic AI. We started this project after seeing how hard it still is for customers to imagine how clothes will look and fit online. Size charts and flat photos don’t build enough confidence, leading to hesitation and returns. At the same time, Photoshoots move slowly, models are costly, and updating visuals across channels is a constant struggle—especially for smaller and growing teams. So we built Tryonic AI to enable virtual try-on using AI or real models, helping brands move faster, reduce costs, and show products more realistically. We’d love to hear your thoughts: - Would you use something like this? - Where do you see AI try-on being most useful? Thanks for checking it out, and happy to chat in the comments!
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Comments
Virtual try-on is the "holy grail" for reducing return rates in e-commerce, but the tech is usually clunky. I’m impressed by the design simulation angle. Does the AI account for different fabric weights and how they drape on a 3D model, or is it primarily focused on static fit? That would be a massive differentiator for the creative side of the industry.
Hi everyone We’re the team behind Tryonic AI. We started this project after seeing how hard it still is for customers to imagine how clothes will look and fit online. Size charts and flat photos don’t build enough confidence, leading to hesitation and returns. At the same time, Photoshoots move slowly, models are costly, and updating visuals across channels is a constant struggle—especially for smaller and growing teams. So we built Tryonic AI to enable virtual try-on using AI or real models, helping brands move faster, reduce costs, and show products more realistically. We’d love to hear your thoughts: - Would you use something like this? - Where do you see AI try-on being most useful? Thanks for checking it out, and happy to chat in the comments!
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