AI Apps / AI Agents & Infrastructure AI apps / Genlook
Genlook
Add AI virtual try-ons to your online store. Let customers see how products look on them before buying.
genlook.app
Is Genlook yours?
$5 on the board also lists you here, with our write-up. The link starts nofollow. Claim to edit it and get a followed backlink.
Dofollow backlink
Keep forever
Featured placement
Quick answer: Genlook is add AI virtual try-ons to your online store. Let customers see how products look on them before buying. Proven to increase conversion by 35% and reduce returns.
Listed 2026-08-28 · Request removal
Definition: Genlook is an AI-powered virtual try-on tool for fashion e-commerce. It lets shoppers upload a photo and view generated images intended to show how clothing products may look on them before they purchase. Genlook is designed for online stores, with options for Shopify, WooCommerce, PrestaShop, a web app, and custom API-based implementations.
What does Genlook do for an online fashion store?
Genlook adds a virtual try-on experience to fashion product discovery and product pages. A shopper provides a photo, selects an item, and receives a generated try-on image. The intended purpose is to give customers more visual context than a standard product photograph, especially when deciding whether a garment matches their style or appearance.
For merchants, the product is focused on reducing uncertainty that can occur when customers cannot physically try on clothing. Genlook positions this workflow as a way to support purchase decisions, improve conversion activity, and help reduce returns related to style or fit expectations. Results can vary based on a store's catalog, implementation, customer behavior, and the quality of uploaded shopper photos.
The platform is primarily relevant to apparel and fashion retail rather than a general-purpose image generation workflow. It can be used on individual clothing product pages, in storefront experiences, and in custom flows such as digital kiosks or brand-specific shopping applications.
- Shoppers can create virtual try-on images from their own photos.
- Merchants can place a try-on action on a product page.
- Fashion teams can use generated imagery in merchandising or marketing workflows.
- Store operators can connect try-on activity with order attribution analytics.
- Developers can build custom try-on journeys through an API and webhooks.
How can Genlook be installed and connected?
Genlook offers a no-code setup path for supported commerce platforms, particularly Shopify. Shopify merchants can install the Genlook app and add the virtual try-on experience to their store without building a fully custom integration. This approach is suited to store owners and merchandising teams that want to test or deploy virtual try-on functionality with less technical work.
Beyond Shopify, Genlook lists support for WooCommerce and PrestaShop. These options may suit retailers using platforms other than Shopify while retaining the same basic goal: presenting a virtual try-on action near a fashion product. The available setup steps and storefront configuration can differ between platforms, so merchants should confirm the current integration requirements before launching.
For businesses with a custom storefront, mobile experience, or kiosk, Genlook also provides a REST API. The API route is intended for developers who need more control over the customer journey, interface, and placement of generated results. Webhook and asynchronous generation support can help a custom application track try-on jobs and respond when output is available.
| Connection option | Best suited to |
|---|---|
| Shopify app | Shopify fashion stores seeking an app-based setup |
| WooCommerce plugin | WooCommerce merchants adding try-on to clothing listings |
| PrestaShop support | PrestaShop retailers offering apparel products |
| Web app | Teams using Genlook through a browser-based workflow |
| REST API and webhooks | Developers creating custom storefront, kiosk, or branded flows |
Which teams and use cases fit Genlook?
Genlook is aimed at fashion brands, e-commerce stores, Shopify merchants, merchandising teams, and developers building custom apparel shopping experiences. Its core use case is an online clothing store where customers would benefit from previewing an item on an image of themselves before they decide to buy.
On a product page, the tool can serve as an additional product exploration feature alongside photos, descriptions, sizing information, and variant selections. Rather than replacing these elements, virtual try-on can give shoppers another way to assess a garment. It is particularly relevant when a store wants to address style uncertainty, such as whether a color, cut, or overall look feels appropriate to the individual shopper.
Merchandising and marketing teams may also use Genlook for product imagery workflows. Developers can use the API for a more tailored implementation, including experiences outside a standard e-commerce product page. For example, a brand with a custom store interface or in-person digital display could evaluate an API-based try-on flow.
- Fashion product pages: Add an interactive try-on step close to product details.
- Shopify clothing stores: Use the app-based route for store integration.
- WooCommerce stores: Add virtual try-on to an apparel catalog on WooCommerce.
- Custom commerce experiences: Use the API for branded storefronts, applications, or kiosks.
- Marketing workflows: Explore generated product imagery for promotional or merchandising needs.
What analytics and developer capabilities does Genlook include?
Genlook includes analytics attribution for try-ons and orders. This is intended to help merchants examine the relationship between shopper try-on activity and purchasing outcomes. Attribution data can be useful when a store wants to understand whether people who engage with the try-on feature later place orders, although attribution should be interpreted alongside other store performance data.
For custom technical implementations, Genlook provides a REST API, asynchronous generation support, and webhooks. An asynchronous model is relevant because image generation may not be completed instantly. A custom interface can submit a request, manage the pending state for the shopper, and receive or retrieve the finished output when it becomes available.
Webhooks can be useful for applications that need to react to events without continually checking for updates. This may matter for custom storefronts or operational workflows that want to record generation status, present completed images, or connect results with internal analytics systems. Teams considering the API should review Genlook's current developer documentation for authentication, request formats, usage rules, and implementation details.
What are Genlook's plans and pricing options?
Genlook offers a free plan, making it possible for a merchant or team to explore the product without starting on a paid subscription. Publicly listed paid plans include Starter at $9 per month, Growth at $29 per month, and Pro at $99 per month.
Pricing details can vary across public Genlook pages, so businesses should verify the current plan terms, included usage, limits, and billing information directly with Genlook before selecting a tier. This is especially important for stores estimating virtual try-on volume, planning a campaign, or considering API-based usage that may have different requirements from an app installation.
| Plan | Listed monthly price |
|---|---|
| Free | Free plan available |
| Starter | $9/month |
| Growth | $29/month |
| Pro | $99/month |
What are the limitations of Genlook?
Genlook is mainly focused on fashion and clothing, so it may not be the right choice for stores selling unrelated categories. Its try-on flow also requires customers to upload a photo, which can create a privacy, consent, or participation consideration for merchants and shoppers. Stores should clearly communicate how images are handled and ensure their customer-facing policies align with the way the feature is deployed.
Virtual try-on imagery is intended to help customers visualize products, but it should not be treated as a precise guarantee of real-world fit, sizing, fabric behavior, or appearance. Product descriptions, size charts, and return policies remain important. Merchants should also account for the fact that generated output depends on the source photo and that user experience may differ across shoppers.
Finally, teams should validate current platform compatibility, pricing, integration details, and analytics capabilities before committing to a rollout. Genlook supports both app-based and API-based routes, but the appropriate path depends on a store's commerce platform, technical resources, catalog, and desired customer journey.
FAQ
What is Genlook?
Genlook is an AI virtual try-on product for fashion e-commerce that generates try-on images from a shopper photo. It is designed to help customers view clothing products before purchase.
Does Genlook work with Shopify?
Yes. Genlook offers a Shopify app installation path and is intended for Shopify clothing stores that want to add a product-page try-on experience.
Can Genlook be used in a custom storefront?
Yes. Genlook provides a REST API, asynchronous generation support, and webhooks for developers creating custom storefront, app, or kiosk experiences.
Does Genlook have a free plan?
Yes. Genlook lists a free plan, alongside Starter, Growth, and Pro paid plans; current limits and terms should be confirmed directly with Genlook.
What is AI virtual try-on for clothing?
AI virtual try-on is a category of technology that creates an image intended to show how an apparel product could look on a shopper. Genlook applies this approach to online fashion stores.
How do virtual try-on tools help e-commerce stores?
Virtual try-on tools can give shoppers more visual information while evaluating apparel online. Genlook is built to address style uncertainty and support fashion product-page decisions.
What should a store consider before adding virtual try-on?
A store should consider customer photo consent, privacy communication, catalog fit, integration needs, and whether generated images meet its customer experience expectations. Genlook also requires merchants to review current pricing and platform-specific setup details.