How accurate is the AI for clothing fit?

Photta's AI predicts how a garment will look on the shopper's body shape and proportions. It's not a tape-measure-accurate sizing tool, but it removes the silhouette and styling guesswork that drives ~70% of size-related returns. Shoppers know if a dress will look good on them before they buy.

Does Photta work for all garment types?

Photta is optimized for apparel: tops, bottoms, dresses, outerwear, and intimates. It also handles jewelry and eyewear well. Shoes are coming in late 2026. Specialty items like swimwear and lingerie work — see our dedicated industry pages.

How private are the shopper photos?

Shopper photos delete within one hour of upload. Generated try-on images delete within 24 hours. We never share, sell, or train models on shopper data. The widget is GDPR + CCPA compliant by default.

Will my conversion rate actually go up?

Yes. Photta cohort data shows clothing brands lift conversion 15–22% on product pages with the widget enabled. The gain is largest on higher-AOV items where return risk weighs heaviest on the buying decision.

What if a shopper uses a low-quality photo?

Photta's AI is robust to low-light, off-angle, and average phone-camera photos — most shoppers' selfies. We provide a one-tap retake if the result isn't great, and a photo-quality guide on first use.

How is Photta different from AR try-on apps?

AR try-on requires the shopper to point their phone at themselves and uses 3D models that often look uncanny. Photta uses photo-based AI: it generates a photorealistic image of the shopper in your product. Shoppers consistently rate the photo approach as more confidence-inspiring.

Does it slow down my site?

No. The Photta SDK is under 5 KB and loads with the defer attribute. The heavy try-on UI loads only when a shopper clicks the widget. Lighthouse scores are unchanged.

For clothing brands

The virtual try-on widget for clothing brands

Photta is an AI virtual try-on widget built for apparel e-commerce. Shoppers see themselves in your clothes before they buy — return rates drop 25–30% on day one.

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Apparel returns are killing your margin

Clothing return rates average 24% in the US and over 30% in Germany (NRF, 2024). The leading cause is fit and size uncertainty — exactly what a virtual try-on solves before the order is placed. For DTC clothing brands running on tight 60–70% gross margins, every 1% return-rate reduction is real money back to the P&L.

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25–30% lower return rate
Photta cohort data shows quarterly apparel return rates drop from 28% to roughly 20% within the first three months of shipping a virtual try-on. The biggest gains are on dresses, jeans, and outerwear.
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Direct margin recovery
An average $80 AOV clothing brand recovers ~$5–7 per order in avoided return shipping, restocking, and damaged-item write-offs. At 10K orders/month that's $50K+ in recovered margin.
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Built for mobile fashion shoppers
70%+ of fashion traffic is on mobile. Photta's mobile flow is three taps from upload to add-to-cart, optimized for shoppers who scroll Instagram and check out in 60 seconds.
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Multi-region ready
29 supported languages out of the box. Whether you sell on shopify.com domains or run multi-region storefronts, the same widget works for every shopper.

Backed by apparel-industry numbers

24%: Avg US apparel return rate(NRF, 2024)
30%+: EU apparel return rate(Statista)
−27%: Photta cohort return reduction
+18%: Avg conversion lift

How shoppers experience Photta

1
Tap 'Try on'
Photta sits on your product page as a tap-friendly button. The shopper opens it, snaps a photo (or uploads one), and chooses the size and color they're considering.
2
AI generates the try-on
In about 10 seconds, our AI renders the shopper wearing your product in their photo. Pose, lighting, and fabric drape look photorealistic — not a cartoon.
3
Add to cart with confidence
From the try-on result, the shopper adds the matching variant to cart in one tap. The cart already has the size and color they previewed.

Clothing brand use cases

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DTC clothing labels

Single-brand DTC stores use Photta to close the size-anxiety conversion gap. Highest ROI on jeans, dresses, and outerwear where size matters most.

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Multi-brand boutiques

Multi-brand fashion boutiques add Photta to standardize the try-on experience across hundreds of SKUs from different brands. One widget, every product.

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Wholesale-direct apparel

B2B wholesale clothing catalogs let buyers try samples on internal model photos, cutting sample-shipping costs by 60% per buyer.

Designed for clothing brand needs

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Apparel-tuned AI

Photta's AI model is fine-tuned on apparel: knit drape, denim weight, lace transparency, leather sheen all render correctly.

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Variant-aware

Shoppers preview the exact size and color they'll buy. The add-to-cart matches their try-on choice.

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Brand-customizable

Match your brand colors, fonts, and tone of voice. Hide Photta branding on Growth and Enterprise plans.

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Privacy by design

Shopper photos delete in under one hour. Generated try-ons delete in 24. GDPR + CCPA compliant by default.

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Conversion analytics

Per-product try-on counts, conversion deltas, and ROI dollars in your dashboard. Export to your BI tool.

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Fast install

Works on Shopify, WooCommerce, BigCommerce, Magento, Wix, Squarespace, and any custom storefront. 30 seconds to ship.

Clothing brand FAQ

: Photta's AI predicts how a garment will look on the shopper's body shape and proportions. It's not a tape-measure-accurate sizing tool, but it removes the silhouette and styling guesswork that drives ~70% of size-related returns. Shoppers know if a dress will look good on them before they buy.

Pricing built for clothing brands

Three tiers from $49/mo, all with a 14-day free trial and no credit card required.

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Cut clothing returns starting this week

30 seconds to install. 14 days free. No credit card required to start.

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