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Cross · Single image · 5 credits

Try on glasses, jewelry, and watches — no AR SDK

User photo plus your accessory image. Realistic fit physics, opt-in consent, and no engineering team to integrate AR.

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Virtual Try-On (Eyewear & Accessories) sample output

Your accessory, worn — on a model

Input Sample input image
Pixfino output Sample output image
Input Sample input image
Pixfino output Sample output image
Input Sample input image
Pixfino output Sample output image
Input Sample input image
Pixfino output Sample output image

Returns drop on personal accessories

Try-on confidence cuts the 'doesn't suit me' return reason for accessory categories.

No AR SDK integration

Web-only; works as a server-side render. No mobile-app build, no engineering sprint.

Consent-first

User photos are opt-in, owned by the user, and used only for the try-on output.

Who this is for

Eyewear brands

Job

Reduce returns on prescription and lifestyle eyewear

Friction

Try-on rooms don't exist online; AR SDKs are heavy to integrate.

Jewelry e-commerce

Job

Show the chain, ring, or earring on the customer's body

Friction

Customers can't picture small jewelry from product shots.

Watch retailers

Job

Show wrist proportion before purchase

Friction

Watches over-size for the wrist drive returns.

How it works

  1. 1

    Customer uploads opt-in photo

    Selfie or mirror photo. Consent-aware — the user provides their own image.

    Replaces: Sending the customer to a physical store.

  2. 2

    Pick the accessory

    From your catalog. Accessory_type (glasses, earrings, necklace, watch, ring) parameters fit physics.

    Replaces: Multi-style inventory at home for try-on.

  3. 3

    Generate

    Around 30 seconds. Output renders the accessory at correct scale on the user's face or body.

    Replaces: AR-SDK integration sprint.

  4. 4

    Show on PDP

    Embed the try-on output on the PDP gallery; show the user wearing the product.

    Replaces: Generic product-only PDP gallery.

Pixfino vs traditional production

Traditional studio Stock + retouch Pixfino
Lead time Customer travels to store N/A Under 1 minute
Per-fitting cost Lost margin from returns N/A 5 credits
Engineering effort AR SDK integration N/A REST endpoint
Returns reduction Baseline (high) N/A Measurable lift
Scale ceiling Per-store throughput N/A Real-time per-shopper
Customer effort Visit store N/A One photo

Questions and answers

How accurate is the fit?
The renderer estimates face/wrist scale from the user's photo and renders the accessory at correct proportion.
What accessory types are supported?
Glasses, earrings, necklaces, watches, rings.
What about consent?
User photo is opt-in; the integration surfaces consent language at upload.
Is the user's photo stored?
Inputs retained 30 days for reproducibility, then purged. Never used to train upstream models.
Will the accessory's color match my catalog?
Yes — accessory image's exact color is preserved in the try-on render.
Can I batch try-on for the full catalog?
Yes — POST a list of accessory images and one user photo; outputs land per accessory.

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