Try-On Accuracy and Quality

TryPoint uses Google's latest virtual try-on models, which are widely recognized as the most advanced available for fashion. Here is what to expect in terms of accuracy and quality.

What the AI gets right

Fabric behavior. The AI accurately renders how different fabrics fold, drape, stretch, and wrinkle on the shopper's body. A flowing silk dress looks different from a structured blazer, and the try-on reflects that.

Garment details. Prints, patterns, logos, stitching, buttons, and texture from your product photos are preserved in the try-on output.

Body adaptation. Results are personalized to each shopper's body shape and pose. The AI does not apply a generic overlay. It adapts the garment to how it would actually look on that specific person.

Natural appearance. Reviewers consistently describe TryPoint results as "premium instead of AI-ish." The output looks like the shopper is actually wearing the garment, not like a digital cutout placed on top of a photo.

What affects quality

Photo quality. The shopper's uploaded photo is the biggest factor. Clear, well-lit photos against a plain background produce the best results. See Photo Requirements for Shoppers for details.

Product photo quality. Clear product images on a white or plain background help the AI extract garment details accurately.

Garment type. TryPoint is optimized for upper-body garments. Tops, dresses, swimwear, and outerwear produce the best results.

Continuous improvement

TryPoint updates its AI models as Google releases new versions. Quality improves over time without any action needed from you. When a new model is available, TryPoint integrates it automatically.

Testing before launch

The free plan includes 20 try-ons so you can test the quality with your own products and photos before committing to a paid plan. This is a good way to verify that the results meet your standards.