How is this different from the AR try-on filters some sunglasses websites already use?

AR filters track facial landmarks in real time and overlay a 3D frame model — fine for a quick look, but they often misjudge frame width, skip lens tint entirely, and render mirrored coatings as a flat gray. Makeover generates a photorealistic image from the customer's actual photo, so reflections, lens color depth, and frame shadow on the face look like a real photograph, not a live filter.

Does it show what a mirrored or polarized lens tint actually looks like on someone's face?

Yes. The AI renders the specific tint and coating — G15 green, brown gradient, blue mirror, rose flash — the way it actually reads against skin tone and lighting, not a generic dark overlay. The same frame in two tints can look completely different on the same face, and that's often what settles the decision.

Are customer photos stored or retained?

That's your call, not ours — it's your software. We build the storage and retention policy around what your business needs and make sure it meets GDPR, CCPA, biometric privacy laws like BIPA, or any other regulation that applies. No training on your data, ever.

There's no off-the-shelf plan, so there's no published price list. Share your details and we'll discuss project scope and pricing on a free consultation call — see /pricing for details.

Can it preview prescription sunglasses, including how thick the lenses will look?

The preview shows frame style and lens tint accurately. Lens thickness from a strong prescription is a lab and index decision your optician makes during the fitting, not something the visual preview simulates — pair it with your standard prescription consult for that part of the conversation.

Does it account for different face shapes, or just show the frame floating on a generic face?

It works from the customer's own photo, so the frame sits against their actual face width, brow height, and cheekbone structure — not a round/oval/square face-shape chart applied to a stock model. That's the main reason it holds up better than a chart-based recommendation when you're talking someone into, or out of, a frame.

Can customers use this on their own phone before they visit the store, or only at the counter?

Both. Most retailers run it as a kiosk or tablet tool at the counter, and embed the same tool on the online store's product pages so shoppers preview a frame before ordering instead of buying two or three colorways to compare at home.

Will this actually reduce returns on online sunglasses orders?

It won't eliminate returns, but it removes the single biggest driver of them: ordering a frame based on how it looks on a model instead of on your own face. Retailers deploy it specifically on the frames and colorways with the highest historical return rates.

Eyewear

Show customers how a frame looks on their own face before they touch a single pair

Snap one photo at the counter or kiosk. Makeover generates a photorealistic preview of the customer wearing any frame style and lens tint in seconds — so they compare ten looks without smudging ten pairs of demo sunglasses.

Custom-built for your industry · No commitment

What is a sunglasses style preview preview?

A sunglasses style preview tool uses AI to generate a photorealistic image of a customer wearing a specific frame — in the actual shape, color, and lens tint they're considering — based on a single photo of their own face. Instead of physically trying on one demo pair at a time, the customer sees themselves wearing the frame instantly on a screen, with the lens color and coating (polarized, mirrored, gradient) rendered accurately. Optical retailers and sunglass boutiques use it at the counter to narrow hundreds of styles down to a short list worth trying on, and on product pages to let online shoppers preview fit and tint before ordering.

Why it matters

Sunglasses are an impulse-adjacent purchase with an outsized return problem: shoppers buy based on how a frame looks on someone else — a model, an influencer, a mannequin — and plenty of that guesswork ships back as a return once the frame arrives and doesn't suit their face. In-store, the friction runs the other way: a wall of 200-plus styles overwhelms a browsing customer, and physically trying on more than five or six pairs kills the momentum of the visit before staff can close a $150–$500 sale. A preview that shows the customer their own face in the frame, not a model's, turns "let me think about it" into a decision made at the counter or the checkout page.

Who uses this

Independent optical boutiques and sunglass specialty retailers use it at the sales counter to narrow a full wall of inventory down to a handful of finalists before anyone touches a demo pair. Dispensing opticians selling prescription sunglasses use it to sell the frame and lens-tint upgrade in the same visit as the eye exam. Online eyewear retailers embed it on the product page so shoppers commit to one frame instead of ordering three to compare at home. Department-store optical counters and multi-brand boutiques use it to move higher-margin designer frames ($200–$600) that customers are otherwise reluctant to commit to sight-unseen.

Heard this from a customer?

A customer tries on twelve pairs before lunch, and by pair five every demo frame has a smear of foundation or fingerprints on the lens — you're wiping frames instead of selling.

They hold up aviators and ask, "Does this actually work with my face shape, or am I just used to seeing them on other people?" You give an opinion; they don't trust it enough to commit to the $280 frame on your word alone.

An online shopper orders three colorways of the same frame to "see which one looks right," keeps one, and ships two back — you eat the return shipping and the open-box markdown on whichever tint didn't suit her.

How sunglasses style preview previews work

Three steps. Under 10 seconds. No design skills needed.

Capture the customer's face

One photo at the counter, kiosk, or from their own phone for online shoppers. No special lighting rig — the AI works from a standard headshot.

AI generates the frame and lens preview

The model renders the exact frame shape, color, and lens tint — polarized gray, mirrored blue, gradient brown — on the customer's own face and skin tone, not a stock model's.

Present side by side on a tablet or screen

Compare five or six styles in the time it used to take to physically try on two. The customer narrows the wall of frames themselves, then tries on the finalists in person.

Common questions about sunglasses style preview

Straight answers. No jargon.

Let's build the version made for your business

Every preview on this site is a variation of the same engine, tuned to one industry. Tell us about yours, and we'll show you exactly what we'd build for it.

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