Agalaz vs Auglio: Which Virtual Try-On Should Your Store Pick in 2026?

Auglio is one of the most established virtual try-on apps in the Shopify ecosystem, with a strong base in eyewear and beauty. Agalaz is the newer generative-AI alternative covering a wider range of categories. They use different generations of technology and the right pick depends on what you sell. This guide is a fair, side-by-side comparison.

TL;DR

• Pick Auglio if: your store is mostly eyewear, sunglasses, or makeup, and you want sub-second AR overlays on the live camera feed. • Pick Agalaz if: your catalogue includes clothing, swimwear, wedding dresses, suits, jewellery, hats, shoes, bags, tattoos or nail art — anywhere fabric drape, material realism, or multi-category coverage matters.

The two products do not compete head-on; they cover overlapping but distinct slices of the try-on problem.

The fundamental difference

Auglio uses traditional AR overlays: computer vision tracks face landmarks (eyes, nose bridge, cheekbones), and a 3D model of the product is rendered on top of the camera feed in real time. Renders in <1 second, looks great for eyewear and lipstick, gets visibly worse the further you move from the face.

Agalaz uses generative AI rendering: an AI model produces a photorealistic image of the customer wearing the actual product. Each render takes ~10 seconds, but the result is a real photograph-style result that respects fabric drape, material, lighting, and the customer's actual body shape.

If your customer is choosing eyewear, the question is "do these glasses fit my face" — AR overlay is the right tool. If your customer is choosing a wedding dress, the question is "will this drape on my actual body" — generative AI is the right tool.

Side-by-side