AI virtual try-on vs AR try-on: what’s the difference?
"Virtual try-on" covers two quite different technologies. They feel similar but work in opposite ways, and each is better at different jobs.
AR try-on
Augmented reality try-on overlays a 3D model of an item onto a live camera feed in real time - think trying on sunglasses, lipstick, or a watch and seeing it move with you. It's interactive and immediate, but it needs a pre-built 3D asset for every item, so it works best for a small, well-modelled catalogue (eyewear, jewellery, makeup) and tends to struggle with soft, draping fabrics that move unpredictably.
AI (generative) try-on
Generative AI try-on, which SnapCloth uses, takes a still photo of you and re-renders it with the garment applied. There's no 3D model to build: it works from a single image of the garment - a fabric photo or a product link - so it handles practically any clothing, including flowing dresses, kurtas and sarees. The trade-off is that it produces a photorealistic still rather than a live, moving overlay.
Side by side
- Coverage: AR needs pre-modelled items; AI works with any garment image.
- Realism on clothing: AI handles fabric drape better; AR excels at rigid accessories.
- Interactivity: AR is live and moving; AI is a saveable, shareable still.
- Setup: AR requires per-item 3D work; AI needs only a photo or link.
Which should you use?
For glasses, watches and makeup, AR is a natural fit. For actually shopping clothes - seeing whether a dress, shirt or outfit suits your body and skin tone, from any store - generative AI try-on is the practical choice because it works with the items you already want to buy.