Torziva vs Antla: Which Shopify Virtual Try-On App Wins?

Quick answer: Torziva and Antla are both AI-powered virtual try-on apps for Shopify fashion stores, but they solve the problem differently. Antla focuses on single-photo try-ons paired with size charts, automatic discounts, and social sharing. Torziva focuses on higher-fidelity AI try-on generation with a broader plan structure (Free through Enterprise), a public API/account layer for larger merchants, and try-on-specific conversion and return-rate tracking. If you're a small store testing the waters, Antla's low entry price is appealing. If you want a try-on app that scales with a growing catalog and gives you room to grow into automation and analytics, Torziva is built for that path.

Last updated: July 2026. Pricing and features change frequently — always confirm current numbers on each app's Shopify listing before you buy.

Why This Comparison Matters Right Now

Virtual try-on stopped being a "nice to have" for fashion ecommerce a while back. Return rates on apparel bought online routinely run higher than in-store purchases, largely because shoppers can't tell how a garment will actually look on their body — not just whether the size fits. That gap between "the size chart says it fits" and "I don't know if it'll look right on me" is exactly what AI try-on tools are built to close.

Both Torziva and Antla sit in this category, and both show up when Shopify merchants search for virtual try-on solutions. Antla has been building an audience through its App Store listing and blog content around token-based AI pricing. Torziva has taken a different route — building out account management APIs, security hardening, and a public developer-facing docs page alongside the core try-on experience. That's a meaningful signal about who each app is really built for.

Torziva vs Antla: Side-by-Side

Pricing: What You're Actually Paying For

Antla's pricing is built around a token/credit system layered on top of subscription tiers. The entry "Trend" tier lands around $19.99/month for a limited number of try-ons, and usage-heavy stores can climb toward $299.99/month as generation volume grows. Antla has been public about this philosophy — the company frames token-based pricing as fairer long-term, since AI generation costs tend to fall over time and that savings is meant to pass through to merchants. That's a reasonable pitch, but it also means your monthly cost is directly tied to how many shoppers use the try-on feature — success can get expensive fast if a store goes viral.

Torziva takes the more traditional SaaS route: a Free plan for stores testing the concept, then Starter ($19/month), Pro ($49/month), and an Agency/Enterprise tier ($299/month) with predictable feature gates rather than pure usage-based billing. For a store owner budgeting marketing spend, that predictability matters — you know your try-on line item won't spike because a product went viral on TikTok.

The practical difference: if your traffic is steady and predictable, either model works fine. If you expect seasonal spikes — a product drop, an influencer mention, a holiday sale — a flat-tier model like Torziva's is easier to forecast than a credit-metered one like Antla's.

Feature Depth: Where Each App Focuses Its Engineering

Antla's product decisions point toward stores that want try-on plus a conversion nudge, wrapped in one app. The automatic discount trigger — offering a small incentive right after a shopper tries something on — is a genuinely smart conversion mechanic, and the social sharing integration (across WhatsApp, Telegram, Discord, and Facebook) plays into organic, word-of-mouth growth for fashion brands with an active community.

Torziva's engineering has gone in a different direction. Recent build-outs include a full Account Management API gated to paid plans, Postgres-based rate limiting, mandatory email verification, and a public developer docs page. None of that is visible to a shopper trying on a shirt — but it matters enormously if you're a larger merchant, an agency managing try-on across multiple client stores, or a brand that wants to eventually pull try-on data into your own BI stack instead of living inside someone else's dashboard.

Neither approach is objectively "more advanced." They're built for different buyers:

• Choose Antla if: you run a single storefront, want try-on live in minutes, and care most about the discount-after-try-on conversion mechanic.

• Choose Torziva if: you're scaling past one store, want a pricing model that doesn't move when traffic spikes, or want API-level access to your try-on data down the line.

Setup and Time-to-Value

Both apps are built to install in minutes rather than hours, which is standard for the category now — a Shopify merchant shouldn't need a developer to get basic try-on working. Antla's listing emphasizes that most merchants are live within minutes of install, and its founder has a reputation (visible across its App Store reviews) for hands-on, fast support for setup questions like placement on the product page.

Torziva is built the same way for the core try-on widget — install, connect to your product catalog, go live — with the added option of deeper configuration (API keys, account-level controls) for merchants who need it. If you never touch those advanced settings, they simply sit unused; they don't add friction to the basic setup path.

Returns and Conversion: The Metric That Actually Matters

The entire category exists to solve one problem: shoppers hesitate to buy apparel online because they can't visualize fit and style on their own body, and that hesitation shows up two ways — abandoned carts and returns after purchase. Industry-wide, online apparel returns remain one of the largest margin drains in ecommerce, which is why every serious analysis of virtual try-on pricing frames the decision in ROI terms rather than feature checklists.

Torziva's own product data centers on two figures: a 32% lift in conversion and a 40% reduction in returns for stores using the try-on widget consistently across product pages. Antla's public positioning leans on a similar logic — pairing try-on with size charts specifically to reduce the "will this actually fit and look right" hesitation that drives both cart abandonment and post-purchase returns.

If returns reduction is your primary KPI, ask each vendor for a cohort comparison (return rate before and after install) rather than relying on headline stats alone — this is where the two apps should be evaluated on your own store's data, not marketing copy.

Reviews and Track Record

Antla currently carries a stronger public review footprint on the Shopify App Store — over 50 reviews at a 5.0 average, including feedback from larger apparel brands. That's a meaningful trust signal if you're risk-averse about installing a newer app on a live store.

Torziva's listing is newer, which means fewer reviews to date, but also a more recently engineered feature set — including security hardening (mandatory email verification, branded SMTP via Resend, Google OAuth consent screen branding) that reflects lessons learned from operating in production rather than launch-day assumptions.

Which One Should You Actually Install?

There's no universal winner here — the right call depends on where your store is today:

• A small or early-stage apparel store testing whether try-on moves the needle at all: Antla's low entry price and fast setup make it a low-risk way to test the concept.

• A growing store already past the "does this work" question, looking for predictable pricing as traffic scales: Torziva's flat-tier model avoids the surprise-bill risk of credit-based systems.

• An agency or multi-store operator who wants API access to try-on data and account-level controls: Torziva is the more natural fit, since that's an explicit part of its roadmap.

• A brand that wants try-on tied directly to a discount mechanic and built-in social sharing: Antla's feature set is purpose-built for that exact workflow.

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Frequently Asked Questions

Is Torziva cheaper than Antla?

Torziva offers a Free plan and starts paid tiers at $19/month, while Antla's entry tier starts around $19.99/month but scales up based on try-on volume through its token system. For predictable, low-volume use, the two start similarly. At higher volume, Torziva's flat tiers are typically more predictable than Antla's usage-based pricing.

Does Antla have a free plan?

Antla is not positioned as having a permanent free tier — it offers a free trial before billing begins, unlike Torziva, which has an ongoing Free plan alongside its paid tiers.

Which app reduces returns more, Torziva or Antla?

Both apps are built around the same core mechanic — helping shoppers visualize fit before buying to cut return-driven refunds. Torziva publishes a 40% returns-reduction figure from its own merchant data; Antla frames its size-chart-paired try-on the same way without a single public headline stat. Actual results depend heavily on your product category and how consistently try-on is surfaced across your catalog.

Can I switch from Antla to Torziva without losing data?

Yes — virtual try-on apps in this category don't lock in customer-facing data (try-on images aren't typically stored long-term by either vendor), so switching mainly involves reinstalling the app embed and reconfiguring which products show the try-on widget.

Which app is better for a multi-store or agency setup?

Torziva is the stronger fit here, given its Account Management API and API-key-based access model built specifically for Pro/Agency plan users — a layer Antla's current feature set doesn't offer.

This comparison is based on publicly available Shopify App Store listings, vendor documentation, and pricing pages as of July 2026. Pricing and feature sets for both apps change regularly — verify current details directly on apps.shopify.com before purchasing.