AlgoStyle: AI Virtual Try‑On vs Vue ‑ Virtual Try On
Two Shopify apps, side by side: detected stores, momentum, reviews, plans, listed features and who runs each. Store counts as of Oct 13, 2026.
The short answer
- Only AlgoStyle lists a free plan. Paid plans start at $19.99/month for AlgoStyle and $20/month for Vue.
Head to head
Free Trial
- · 10 virtual try-ons included
Basic
- · 200 virtual try-ons / month
- · Remarketing to engaged shoppers
- · Top-up packs: $9.99 / 100 try-ons
- · Try-on widget
Plus
- · 500 virtual try-ons / month
- · Remarketing to engaged shoppers
- · Top-up packs: $5.99 / 100 try-ons
- · Try-on widget
Premium
- · 1000 virtual try-ons / month
- · Remarketing to engaged shoppers
- · Top-up packs: $4.99 / 100 try-ons
- · Try-on widget
Starter
- · $0.18 per additional try-on
- · 200 try-ons included
- · Basic Dashboard
- · Customizable widget
- · Email support
Professional
- · $0.15 per additional try-on
- · 500 try-ons included
- · Advanced analytics
- · Customizable widget
- · Priority support
Business
- · $0.12 per additional try-on
- · 1,500 try-ons included
- · Dedicated support
- · Everything in Professional
Coverage counts what each App Store listing names. Every feature, checked off app by app, is in Shoplist.
See every featureAlgoStyle helps merchants drive apparel sales and reduce returns by providing an interactive virtual try-on experience. Customers upload a photo to see themselves in your clothing, giving them the confidence to buy. The app also acts as a conversion tool.
Vue uses AI to deliver a virtual try-on experience, allowing customers to see how products fit before buying. Our model, trained on diverse datasets, produces accurate results and adapts over time, helping merchants reduce returns and increase conversion. Seamlessly integrates with your Shopify catalog, enabling personalized trials that enhance customer engagement and conversions.
- Enable customers to see themselves wearing your clothing before purchasing.
- Track interested shoppers who save, share, or download their try-on photos.
- Send one-click remarketing emails with personalized offers to close the sale.
- Users create personalized profiles to try multiple garments.
- Stores select specific collections or products for trials
- Records all trials and products used, offering insights to adjust inventory
- Adaptive AI models that improve with interactions
All the numbers
Every figure, side by side
A green dot marks the app ahead on a measured figure. Estimates, gaps and apps that leave no storefront trace never take the lead.
Adoption
| Measure |  AlgoStyle |  Vue |
|---|---|---|
| Detected stores | Not published | Not published |
| Net store change, 28 days | 0 | 0 |
| Stores added, 28 days | Not enough data | Not enough data |
| Big-brand share | Not enough data | Not enough data |
| Top store categories | Not published | Not published |
| Top store countries | Not published | Not published |
Reviews
| Measure | AlgoStyle | Vue |
|---|---|---|
| App Store rating | Not published | 5.0 ★ |
| App Store reviews | Not published | 2 |
| New reviews, 28 days | Not enough data | Not enough data |
| Reviewers a year or more in | Not enough data | Not enough data |
FAQ
AlgoStyle and Vue: common questions
- Is AlgoStyle or Vue cheaper?
- Only AlgoStyle lists a free plan. Paid plans start at $19.99/month for AlgoStyle and $20/month for Vue. Shoplist compares base prices only between monthly plans in the same currency; usage charges and annual plans vary, so check each plan’s limits.
- Where does this comparison’s data come from?
- Shoplist crawls Shopify storefronts to detect which apps each store runs, and reads each app’s Shopify App Store listing for reviews, pricing, features and integrations. Store counts are as of Oct 13, 2026; estimated figures are labeled.
How Shoplist compares apps
Store counts come from Shoplist’s crawl of Shopify storefronts, which detects the apps each store runs; they are as of Oct 13, 2026. Reviews, ratings, plans, features and integrations come from each app’s Shopify App Store listing. 28-day figures are labeled when estimated, and a figure that is missing or estimated never decides who leads. Read the methodology.