Short answer: AR virtual try-on overlays a product on a live camera feed. AI virtual try-on generates an image of the shopper wearing it from one uploaded photo. A Shopify store selling clothing plus bags, hats or shoes can usually run one AI photo app for all of them. A dedicated AR app earns its place for glasses, watches and fine jewelry.
Picture a store owner whose catalog is linen dresses, canvas totes and a small line of sunglasses. In one week, three apps are pitched to them: a clothing try-on app, a bag visualiser and an AR mirror for eyewear. Each demo looks good. Installed together, they would mean three widgets on the product page, three bills and three dashboards that never agree with each other.
The better question is not which technology is more impressive. It is which products need which kind of preview, and how few tools can cover them.
AR vs AI virtual try-on: the difference that matters to a merchant
AR (augmented reality) try-on opens the phone camera and places a digital version of the product on the shopper in real time. It tracks a face, a wrist or a foot, so when the shopper turns their head the glasses turn with them. That live tracking is the whole point. It also means the product usually needs a 3D model or a carefully prepared 2D asset. Shopify notes that creating AR assets means photographing a product from every angle and then building a 3D model that balances detail against file size.
AI photo try-on works from a still image. The shopper uploads or takes a photo, and a generative model produces a new picture of them wearing the product. Nothing tracks in real time, but nothing needs to: a dress or a coat is judged on drape, length and silhouette, and a generated image shows those well. It also works from the product photos already in your store.
| AR try-on | AI photo try-on | |
|---|---|---|
| What the shopper does | Points the camera at themselves and moves | Uploads or takes one photo |
| What they see | A live overlay that follows their movement | A generated image of them wearing the item |
| Product assets | Often 3D models or prepared 2D assets per product | Existing product photos |
| Strongest for | Items in a fixed spot: glasses, watches, earrings, rings | Full garments and larger accessories |
| Weak spot | Camera access, lighting, tracking on older phones | No movement, and results depend on photo quality |
Virtual try-on for clothing and accessories, category by category
"Accessories" covers very different products. A tote bag hangs from a shoulder much as a jacket does. A pair of earrings sits on a few millimetres of earlobe. They don't need the same technology.
| Category | What the shopper wants to see | Better fit |
|---|---|---|
| Dresses, tops, trousers, outerwear | Drape, length, overall silhouette | AI photo |
| Bags | Size against the body, how it sits on a shoulder | AI photo |
| Hats | Shape and proportion against the face | AI photo works, AR is also common |
| Shoes | Style with an outfit | AI photo for styling, AR for close-up foot views |
| Eyewear | Frame width and position on the face | AR |
| Watches and bracelets | Size on the wrist, dial position | AR |
| Earrings, necklaces, rings | Placement and movement | AR |
When one AI photo app covers both
If your accessories sit in the top half of that table, one photo-based app can carry the whole catalog. Traion AI Virtual Try-On is built this way: it works with clothing, footwear, hats and bags, adds a Try Me button to the product page, and returns a result in about 5 seconds on average. For a store whose accessories are bags, hats and shoes, that means:
- One widget on the product page, styled once to match the theme
- One bill, which for Traion is a pay-as-you-go package (10 free try-ons, then $19 for 100, $69 for 500 or $109 for 1,000) rather than a monthly subscription per tool
- One dashboard, so try-on activity on a dress and on the bag that goes with it sits in the same place
The last point is easy to overlook. With two tools, comparing how clothing and accessories perform means exporting from two dashboards that count things differently. With one, it's the same report.
If you want to understand what happens inside the generation step, our guide on how AI try-on works covers it. If you're comparing photo-based apps against each other, see the Shopify try-on comparison.
When a dedicated AR app is the better buy
AR is the right tool when the product's value depends on exact placement on a small, moving part of the body. Glasses are the clearest example: a shopper wants to see whether the frame is wider than their face and where the bridge sits. Watches are similar. DeepAR, an AR toolkit vendor, describes its watch and wrist-jewelry try-on as mapping wrist size automatically. A generated still image can't do that.
Jewelry sits on the line. Some AI photo tools render necklaces and earrings, but earrings are judged partly on how they hang and move, which live AR shows and a still image can't. Traion doesn't support jewelry, eyewear or watches, so for a store selling those, a specialist is the honest answer.
AR specialists are usually priced differently. Camweara's listing on the Shopify App Store, for example, starts at $39 a month for its Lite plan covering 70 products, and lists support for jewelry, eyewear, watches, hats and shoes. That's reasonable for a store whose catalog is mostly jewelry. For a clothing store with twelve pairs of sunglasses, it's a monthly fee for a small slice of products.
If you do run two apps
Running two apps can work if you keep the split clean:
- Give each app its own categories and don't double up. Two try-on buttons on one product page confuse shoppers.
- Check how each app is turned on. Traion's button appears on every product page once its app embed is on, with no per-product or per-collection targeting, so plan the second app around that rather than assuming you can switch Traion off for one collection.
- Track each tool's try-on to add-to-cart rate separately, so you know whether the second app is paying its way.
The limits of a single app
One app for everything is simpler, but it isn't free of trade-offs.
Coverage is only as good as the supported list. If an app isn't confirmed for a category, the result on those pages may disappoint. With Traion, the button showing on every product page means an unsupported item, like a ring, would still display it. For a store with a large jewelry range, that's a real reason to choose differently.
A preview is not a size recommendation. Photo try-on shows style, colour and silhouette. It doesn't measure anyone. Keep your size chart and fit notes doing their job.
Product photos matter. Photo-based try-on works best when the product is fully visible in a clean image. A bag photographed half-hidden behind a model's arm gives the model less to work with than a clear front-on shot.
A quick decision checklist
Before installing anything, write down your catalog by category and answer three questions:
- Which categories sell the most? Try-on on a category that sells 5% of your orders is a low-priority project.
- Is the shopper's doubt about the whole look or about precise placement? Whole look points to AI photo try-on. Placement on the face or wrist points to AR.
- Can one tool cover your top categories? If yes, start there and measure for a few weeks. Add a specialist only for what's left.
For most clothing-led stores with bags, hats or shoes on the side, the answer to the third question is yes. If shoes are a large part of your range, our shoe try-on guide goes deeper on AR, AI images and sizing. Setup is short either way: here's how to add try-on to a Shopify store step by step.
If a single photo-based app fits your catalog, you can install free and test it with 10 free try-ons on your clothing and accessory pages, or see how Traion works first.