But did it sell anything?

Photo Upload vs. Real Try-On: What's Actually Happening in the Photo

Here's how an actual Antla merchant describes what the app does:

"Matching the person in the uploaded image to the select outfit." — Sepastone (Antla App Store review)

That's a merchant, not a marketer, describing the mechanic in plain language. And they're not wrong.

Antla's approach: a shopper uploads a photo of themselves. The AI matches the outfit to that uploaded image. The result looks like that shopper wearing the garment — rendered. An AI-generated model, wearing your product.

Looksy's approach: your shopper sees the garment on their actual self, in real context. No uploaded photo. No AI-generated composite. The try-on happens dynamically, not retrospectively.

This isn't a "features" difference. It's a philosophy difference.

One tool asks shoppers to imagine themselves in the result.
One tool removes imagination from the equation entirely.

Both are called virtual try-on. Only one of them shows your actual shopper.

One Row We Couldn't Fill In

2 reviews. 2 mention business outcomes. 29 reviews. 0 mention business outcomes.

100% of Looksy merchants who reviewed the app mentioned results — conversions, returns, or shopper behaviour. Not one of Antla's 29 reviewers did. The count difference doesn't matter. The quality difference is structural.

Looksy merchant outcomes (verbatim):

"In the month of using the app, our store has experienced higher conversions and we are seeing users actively trying stuff on. Head and shoulders above other apps that provide a try on." — Maison Beast, Estonia (★★★★★, January 2026 — also reviewed alternatives before switching to Looksy)

"Customers feel more confident before buying, which helped increase conversions and reduce returns." — Bambi, Children's Clothing, Morocco (★★★★★, January 2026)

Antla has 29 reviews. Every single one mentions: easy setup, responsive support, a good result. Fila South Africa has been using it for five months. Their review says engagement and conversion were "enhanced." No number. Not a percentage. Not a before-and-after.

We're not calling that out as a failure. We're calling it out as a category problem. The entire virtual try-on industry has been avoiding this question. Looksy is the first VTO app asking it directly. Not "does it look good?" — but "did it sell?"

Antla has since added an ROI Calculator to their homepage — a way for merchants to project potential returns from VTO before installing. That's a useful tool. But there's a meaningful difference between what Antla's calculator offers and what Looksy's merchants report.

Antla ROI: Estimated. What your store might achieve — projected, pre-install.
Looksy ROI: Verified. What merchants actually reported — in writing, post-install.

The row under Antla's name isn't blank because we forgot to fill it. It's blank because there's no verified merchant number to put there. Projections don't go in that cell. Results do.

The Social Sharing Question

Antla has a genuinely valued social sharing feature. Two of their merchants said it best:

"The share capabilities increase site visits... the sharing makes them feel like brand ambassadors." — PLAINS (South Africa)

"Gave us a new way to go viral on social media." — TEKES Fragrances IL

That's real. Antla's sharing mechanic works. Merchants love it. We're not going to pretend otherwise.

Here's the difference worth understanding:

When a shopper shares an Antla try-on, they're sharing a rendered image. An AI-composite of themselves wearing the outfit. It's a brand asset — the brand's garment, on a fabricated version of the shopper.

When a shopper shares a Looksy try-on, they're sharing themselves. Real person, real context, real result. That's a shopper endorsement — something that carries social weight in a way a rendered image doesn't.

One is content for the brand. The other is content from the customer.
Both drive clicks. One drives trust.

Support That Scales

14 of 29 Antla reviewers mention their support contact by name. That name is Aaron.

Aaron is clearly exceptional. Reviewers describe personal onboarding, same-day custom development, and direct support from the founder himself. At 47 stores, that's possible. At 470, it's not.

Looksy is built to not require that. Our onboarding takes 15 minutes without anyone's help. Our support documentation handles the common cases. When you need a person, you get one — but you don't need a person to get started. This isn't a criticism of how Antla runs. It's a statement about what scales.

Body Type Accuracy: The Methodology Difference

Antla says "any body shape." We agree the claim matters. Here's the methodology difference.

When a plus-size shopper uploads a photo to Antla, the AI generates a model, then adjusts that model's proportions to match their measurements. The result is a rendered version of someone wearing the garment — but the underlying figure is AI-fabricated. The fit, the drape, the silhouette: calculated, not shown.

Looksy works differently. The shopper's actual body appears in the try-on. Not a model adjusted to their proportions. Them.

For shoppers whose bodies differ from idealised model proportions — plus-size, curvy, athletic, petite — these two approaches produce meaningfully different experiences. The question isn't "does this VTO claim body inclusivity?" The question is: does this VTO show me, or a version of me?

Why this matters for merchants:

Purchase confidence depends on recognition. When a shopper sees themselves — not an AI-adjusted approximation — wearing a garment, the conversion moment is different. This is especially true for diverse-body shoppers who have learned not to trust standard sizing.

Maison Beast documented it directly: "customers felt more confident before buying." That confidence is harder to manufacture when the person in the try-on is AI-fabricated.

Antla's "any body shape" claim is made in good faith. The mechanism behind it is different from Looksy's. For merchants whose customers skew plus-size, curvy, or athletic — that difference is worth understanding before you install.