# Virtual try-on: 6 solutions for ecommerce > Compare Provei, Genlook, Sizebay, Virtusize, Fit Analytics and Kiwi by images, sizing, catalog and implementation. Build a shortlist that fits your store. Canonical: https://provei.ai/en/blog/best-virtual-try-on-solutions-ecommerce Ecommerce decision guide Compare Provei, Genlook, Sizebay, Virtusize, Fit Analytics and Kiwi by images, sizing, catalog and implementation. Build a shortlist that fits your store. By Provei.AI · AI-assisted research and synthesisPublished: 2026-11-11 In brief The best virtual try-on solution for an ecommerce store depends on the question it needs to answer: seeing a garment in the shopper's own photo, choosing a size, or understanding measurements and alternatives. Provei, Genlook and Sizebay document visual experiences; Virtusize, Fit Analytics and Kiwi offer different approaches to size guidance. Compare the output, catalog data and available package before choosing. Not all these solutions generate a photo of the shopper. Provei.AI is responsible for this guide and also supplies one of the solutions discussed. This is documentary research, not an independent performance test. One store may need to show how a jacket looks on a shopper; another may need to explain why one brand's M is not equivalent to another's. Buying both solutions under the same label of **virtual try-on** is the first mistake to avoid. An appealing image does not, on its own, tell someone which variant to add to the cart. A size recommendation does not necessarily show the garment in their own photo. This guide brings together six vendors to help you build a needs-based shortlist, not a performance ranking. Provei.AI is responsible for the content and is one of the options, so it has a commercial interest in the comparison. This is a documentary analysis, using official sources consulted on **10/11/2026**, with no independent hands-on testing. The matrix suggests where to start; the profiles show when another approach may make more sense. ## Where to start, based on your priority ### In-store visualization combined with sizing features Investigate Provei and Sizebay. Both document images and size guidance; compare modules, categories and responsibilities rather than a false choice between photos and charts. [Explore this criterion](https://provei.ai/en/blog/best-virtual-try-on-solutions-ecommerce#matriz-fornecedores) ### Try-on for Shopify, WooCommerce or PrestaShop Include Genlook in your shortlist: it documents an app, plugin or module. The size assistant is listed as a beta on Growth; confirm access and scope before relying on it. [Explore this criterion](https://provei.ai/en/blog/best-virtual-try-on-solutions-ecommerce#perfil-genlook) ### Explaining fit through measurements and familiar references Consider Virtusize for recommendations and measurement visualization, including comparisons with familiar garments. Check the category-specific flow and the scope of the Shopify or Core plan. [Explore this criterion](https://provei.ai/en/blog/best-virtual-try-on-solutions-ecommerce#perfil-virtusize) ### Sizing connected to purchases and returns Evaluate Fit Finder by Fit Analytics if your team can integrate product data, orders and feeds. Its recommendations use preferences and shopper data; that is not evidence of photo-based try-on. [Explore this criterion](https://provei.ai/en/blog/best-virtual-try-on-solutions-ecommerce#perfil-fit-analytics) ### Organizing size charts and recommenders on Shopify Start with Kiwi when your priority is maintaining guides by product or collection. Check which plan unlocks the recommenders and how order-based billing works, rather than buying image generation you do not need. [Explore this criterion](https://provei.ai/en/blog/best-virtual-try-on-solutions-ecommerce#perfil-kiwi) ## Which decision do you want to improve on the product page? Start with the problem you have observed, not the name of the technology. If your support team receives requests for waist measurements, installing only an image-based experience may leave that question unanswered. If the chart is already clear but shoppers want to imagine a print on themselves, more measurement fields will not provide that visualization. These are diagnostic examples, not measured results from the tools. Separate five functions. A **size chart** presents the size range and its measurements. A **recommendation** turns data into a suggestion. A **comparison** helps shoppers assess an alternative or a familiar reference. **Visual try-on** creates a representation of the garment on the person. **Image production** prepares content for the store to publish. These functions can work together, but one does not prove another. For a closer look at the mechanisms, see the [guide to size charts, recommendations and size comparison](https://provei.ai/en/blog/size-chart-size-recommendation-or-size-comparison-which-to-use). The shortlist below focuses on the first four functions, which support purchase decisions. A studio that generates campaign images does not automatically qualify as an in-store virtual try-on tool. Nor have we included a personal wardrobe app simply because it lets people try outfits: the buyer here is an ecommerce business that needs to manage a catalog, integrations and customer support. Explanatory diagram · not a product screen or measured result ## Four different outputs that need different acceptance criteria Read these blocks as complementary paths, not mandatory steps. The question determines which output the demonstration needs to show. ### How does this garment look on me? - Input / starting point A photo of the person and a visual reference for the product. - Output / decision A personalized visualization to assess appearance and outfit combinations. - Limit / check Does not establish measurements, fabric behavior or which size to buy. ### Which size should I order? - Input / starting point Information requested from the shopper and the catalog's size or fit data. - Output / decision A suggestion linked to the product and its available size range. - Limit / check Depends on the underlying data and method; it is not a fit guarantee. ### How do I compare the alternatives? - Input / starting point Measurements, a recommended size or a familiar garment as a reference, depending on the tool. - Output / decision Differences shown between sizes, measurements or references. - Limit / check A measurement comparison is not the same as an AI-generated photo. ### What are the measurements for each size? - Input / starting point The product's size chart, with units, measurement basis and measurement points identified. - Output / decision A reference chart: the person reads and compares the values without receiving an automatic suggestion. - Limit / check Providing measurements is not recommending a size. Body measurements, flat garment widths and garment circumferences are not interchangeable. Original explanatory diagram distinguishing tasks and evaluation criteria. It does not reproduce any vendor's interface, generated images or results. ## Six solutions compared using the same questions Documentary basis as of 10/11/2026: Provei's Fashion Virtual Try-On and Sizing pages; Genlook's product and plans; Sizebay's Virtual Fitting Room and Try-On; Virtusize's product and plans; Fit Finder and Fit Analytics documentation; and Kiwi's product and official listing. Links and the limitations of each statement appear in the profiles and sources. A documented feature is not necessarily included in every contract. | Criterion | Provei.AI | Genlook | Sizebay | Virtusize | Fit Analytics / Fit Finder | Kiwi | | ------------------------------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------- | --------------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------- | --------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------- | --------------------------------------------------------------------------------------------------------- | | Which task is worth investigating? | Fashion visualization and dedicated sizing features. | Visual try-on on the product page; sizing beta to be confirmed. | Size recommendations with an additional visual Try-On module. | Recommendations and visualization of fit and measurements. | Size recommendations based on profiles, preferences and purchases/returns. | Size charts and recommenders on Shopify. | | Is visualization in the shopper's own photo documented? | Yes, in Fashion Virtual Try-On. | Yes, using photos of the person and the product. | Yes, in the integrated Try-On add-on. | The sources show measurements and fit; they do not establish photo-based try-on. | The sources consulted demonstrate sizing, not AI-generated photos. | The sources consulted demonstrate guides and sizing, not AI-generated photos. | | How does it guide size selection? | A size chart, recommendations linked to garment fit specifications, and comparisons between alternatives. | Growth lists an AI size assistant beta. The dedicated AI size chart page describes batch access/a waiting list. | Height, weight, age and body profile matched to the product's fit specifications. | Shopper data, measurements and familiar references; the flow varies by category. | Size and fit questions compared with profiles and purchase/return outcomes. | A measurement guide, apparel recommender and custom recommender; access depends on the plan. | | What data should the store prepare? | Visual references, garment fit specifications, and links between charts, products and applicable sizes. | Product photos; for sizing, confirm which charts and data the beta accepts. | Catalog and size charts/fit specifications; the vendor documents creation and management by specialists. | Size data in files or a feed; scope and workflow depend on the offering. | Consistent identifiers and size values across products, orders and feeds. | Measurements and rules that assign each guide to products or collections. | | Which implementation path is documented? | Theme code and a code-presence check; each type of try-on tool has its own code. An active catalog and the relevant links must also be ready. | A Shopify app, WooCommerce plugin, PrestaShop module and API for other projects. | Integration through JavaScript, GTM or API; named platforms include Nuvemshop, VTEX and Shopify. | Script tags; Shopify and Core offerings with different scopes. | Widget or API; the store must implement data objects and order tracking. | A Shopify app with product- or collection-specific guides and assignment rules. | | What changes the cost and scope? | Selected products, try-on allowance and contract; the public page lets merchants configure a plan. | Monthly allowance, overages and plan; do not assume the sizing beta is available to every account. | A quote based on traffic and categories; confirm the separate Try-On add-on. | Shopify and Core have different models; do not assume the entry-level plan includes the entire portfolio. | Request a quote and data requirements; the product sources consulted do not give a numerical rate. | The plan limits charts and recommenders; Plus and Ultimate list additional charges based on order volume. | | What must be confirmed before sign-off? | The full category-specific flow, size-chart maintenance and included modules. | Actual availability of the sizing beta, eligible images and billing rules. | Package coverage, the catalog update routine and the behavior of the contracted Try-On module. | The reference the shopper must provide and the functions included in the chosen offering. | Catalog eligibility, feed access and continuity after site changes. | The available recommender, experience language and exact basis of order-related billing. | ## What the matrix can tell you—and what it cannot There are at least two possible shortlists within this list. For **seeing a garment in the shopper's own photo**, Provei, Genlook and Sizebay document that output. For **size guidance**, the shortlist is broader: it includes Provei and Sizebay features, Virtusize, Fit Finder, Kiwi and Genlook's beta offering, whose availability must be confirmed. Neither observation ranks the quality of the results. Virtusize deserves attention because it does not fit the simplification that it only overlays two garments: its current page also describes recommendations using shopper data and measurements displayed on the item. Do not buy Fit Finder expecting the same output as a photo generator. Kiwi may meet a need for guides and rules on Shopify without adding personalized visualization. Buying fewer functions can be the right decision when they are a better match for the problem. The reverse is also true: a solution with several modules is only a good candidate if the modules you need are available for your category and included in the proposed offering. **A portfolio is not a contracted package.** In the following profiles, “avoid” explains when not to start with that approach; it is neither a quality rating nor an unsupported claim that a capability is absent. ## Profiles: when to consider each solution and what to check ### Provei.AI—visualization and sizing as complementary functions Fashion Virtual Try-On combines the person's photo with a garment reference on the product page. The Sizing product line brings together size charts, recommendations and visual comparisons of alternatives. The useful decision is to define which functions need to work together, not to assume every image includes a size assessment. - Required input The visual experience uses the person's photo and the listed product. Recommendations use the data defined for the brand/category and the garment's fit specifications. Official help pages detail import review and the assignment of charts, applicable sizes and garment types to products. Without the right underlying data, the presence of code does not make a catalog ready for sizing. - What it provides A personalized visualization of the garment; sizing features provide measurements, a suggestion linked to the size range, and comparison with an alternative. Provei itself states that a recommendation does not guarantee fit and that manufacturing, fabric and personal preferences remain relevant. - When to consider it Consider it when the business wants to address appearance and size selection within the shopping experience and is willing to organize visual references and fit specifications. It is a candidate for evaluating a combination of apparel modules, with the flow demonstrated on your catalog. - When not to start here Do not start with a visualization package if your only need is organizing size charts on Shopify. If the store cannot identify each product's fit specifications, resolve that foundation first or agree on the work required: an image does not correct the link between a garment and its size range. - What to confirm Ask for a demonstration from photo upload through to the selected variant, a list of included modules, and clarity on who maintains charts and product links. Check installation in your theme and category, the try-on allowance, behavior when credits run out, and support terms. The installation guide distinguishes the codes for different try-on tools; do not assume one activation enables every experience. Sources checked on November 10, 2026: [Provei.AI—Fashion Virtual Try-On](https://provei.ai/en/blog/best-virtual-try-on-solutions-ecommerce#fonte-provei-fashion) · [Provei.AI—Sizing](https://provei.ai/en/blog/best-virtual-try-on-solutions-ecommerce#fonte-provei-tamanhos) · [Provei.AI—Size Recommendation](https://provei.ai/en/blog/best-virtual-try-on-solutions-ecommerce#fonte-provei-recomendacao) · [Provei.AI—How to install virtual try-on](https://provei.ai/en/blog/best-virtual-try-on-solutions-ecommerce#fonte-provei-instalacao) · [Provei.AI—Assigning size charts to products](https://provei.ai/en/blog/best-virtual-try-on-solutions-ecommerce#fonte-provei-vinculos) · [Provei.AI—Importing size charts](https://provei.ai/en/blog/best-virtual-try-on-solutions-ecommerce#fonte-provei-importacao) · [Provei.AI—Plans and pricing](https://provei.ai/en/blog/best-virtual-try-on-solutions-ecommerce#fonte-provei-planos) ### Genlook—try-on with platform-specific installation paths Genlook documents generating an image of the person wearing the product using the store's photos. Its offering describes a Shopify app, WooCommerce plugin, PrestaShop module and API. This makes it a candidate when the first decision is to add visual try-on to an existing catalog. - Required input The person uploads a photo or uses the camera; processing uses the product images. The page states that the merchant can choose which photo to use when several references are available. For sizing, confirm the chart and data required by the offering actually enabled for your account. - What it provides A try-on image on the product page. Growth lists an AI size assistant as a beta, so it is incorrect to say that Genlook does not offer size guidance. However, the dedicated AI size chart page describes a waiting list and batch rollout, starting with Shopify: do not treat that version as guaranteed general availability. - When to consider it Consider it when investigating a visual flow on the documented platforms and when your team can review photos by product or collection. If sizing is desirable but not an immediate requirement, the beta can be assessed separately while keeping a measurement-based alternative available during the evaluation. - When not to start here Do not make a purchase that requires size recommendations based only on the beta's name in the plan table. If the assistant is a prerequisite, wait for written confirmation of access, category coverage and functionality. Nor should a public promise of no-code installation be treated as proof of compatibility with every custom theme. - What to confirm Have the vendor demonstrate your images and variants, eligible products and where the selected size goes next. Confirm the allowance, overages and charges for failures or retries. Ask exactly which assistant is available: the plan's beta, the waitlisted version or another feature, without assuming they are equivalent. Sources checked on November 10, 2026: [Genlook—Product and installation questions](https://provei.ai/en/blog/best-virtual-try-on-solutions-ecommerce#fonte-genlook-produto) · [Genlook—Monthly plans with try-ons included](https://provei.ai/en/blog/best-virtual-try-on-solutions-ecommerce#fonte-genlook-planos) · [Genlook—AI size chart](https://provei.ai/en/blog/best-virtual-try-on-solutions-ecommerce#fonte-genlook-sizing) ### Sizebay—recommendations with fit-data management and a Try-On add-on Sizebay's Virtual Fitting Room provides product-specific size guidance and documents specialist involvement in creating and managing size charts. Its current offering also includes integrated visual Try-On as an add-on. Comparisons with Provei or Genlook should acknowledge that module rather than reduce Sizebay to a static chart. - Required input The published flow asks for height, weight and age, with confirmation or adjustment of body shape. The catalog, fit specifications and charts support the product-specific decision. Photos belong to the additional visual flow; this does not mean every size recommendation depends on an image. - What it provides A recommendation for the product and the option to check other sizes. In Try-On, the person sees the garment in their own photo; the dedicated landing page describes an experience on the product page without registration. Category coverage and available modes need to be specified in the package. - When to consider it Consider it when your priority is size guidance with vendor support for fit specifications and size-chart maintenance. If your team has a concrete need for that service, the proposal is worth investigating even if the store does not want to start with images. - When not to start here Do not dismiss the solution on the assumption that it lacks try-on, or buy it assuming the add-on is included in every plan. If your goal is simply a size-chart editor for a Shopify business, check whether the proposed service and package match the work required rather than buying breadth for its own sake. - What to confirm Ask for a breakdown of sizing and Try-On, covered categories, catalog deliverables and the update routine. The FAQ describes quotes based on traffic and categories and states that implementation is included; translate that into scope and named responsibilities for your store. Listed platforms and a published average timeframe do not replace theme validation or an agreed schedule. Sources checked on November 10, 2026: [Sizebay—Virtual Fitting Room](https://provei.ai/en/blog/best-virtual-try-on-solutions-ecommerce#fonte-sizebay-provador) · [Sizebay—Integrated Try-On](https://provei.ai/en/blog/best-virtual-try-on-solutions-ecommerce#fonte-sizebay-tryon) ### Virtusize—recommendations and visual explanations of measurements and fit Virtusize combines size guidance with visual measurement information and fit comparison. Its apparel page describes gender, age, height and weight; other flows use measurements or a familiar garment. It is not merely a garment comparator, and “fit visualization” should not automatically be interpreted as an AI-generated photo of the shopper. - Required input Shopper data and references that vary by category. The commercial documentation accepts size data in CSV, Excel, PDF or a feed. For the store, the decisive question is which measurements and references your flow requires and how products with different fit specifications are assigned to the right underlying data. - What it provides A suggested size and measurements displayed on the item, with examples such as shoulders, bust, cuffs and hips. Core also describes comparisons of fit on the body and against items the person owns. The sources do not establish that these outputs include an AI-generated photographic image of the shopper wearing the SKU. - When to consider it Consider it when explaining measurement differences and using familiar references are central to the desired experience. It may make more sense than starting with try-on when the question your team wants to answer concerns dimensions and fit, not the visual composition of an outfit. - When not to start here Do not select it expecting a photographic result without requesting a demonstration of that specific feature. Do not assume the entry-level Shopify offering includes the portfolio's full coverage: the pricing page separates the apparel offering with manual uploads from the broader Core product. - What to confirm Ask to see the same product in adjacent sizes and what reference the shopper must provide. Specify Shopify or Core, input formats, categories, maintenance and billing. Core pricing is linked to assisted conversions; request a definition of the billable event, not just a monthly amount. Sources checked on November 10, 2026: [Virtusize—Virtual Fitting Room & Size Recommendations](https://provei.ai/en/blog/best-virtual-try-on-solutions-ecommerce#fonte-virtusize-produto) · [Virtusize—Pricing](https://provei.ai/en/blog/best-virtual-try-on-solutions-ecommerce#fonte-virtusize-planos) ### Fit Analytics / Fit Finder—sizing using purchase-behavior data Fit Finder is Fit Analytics' size advisor for apparel and footwear. According to its official guide, it compares data from people with similar characteristics and looks at sizes kept rather than returned because of fit problems. A useful evaluation includes the integration supporting that method, not just the questionnaire shoppers see. - Required input Information such as height, weight, age and fit preferences, alongside data connected to products, orders and feeds. The documentation requires matching identifiers and size values and assigns implementation of the data objects to the store's technical team. - What it provides Size and fit recommendations; Fit Cues provides a tip on eligible products. The sources consulted do not demonstrate AI-generated photos of the shopper. The guide excludes accessories and lists specific apparel and footwear categories: validate coverage for your catalog, especially beyond adult apparel. - When to consider it Consider it when your priority is sizing supported by purchase and return data and there are people responsible for the catalog, integrations and data quality. Public technical documentation lets you prepare concrete questions before requesting a proposal and discuss how recommendations connect to orders. - When not to start here It is not a documented starting point for merchants who require photo-based try-on as the main output. If the business cannot provide the data or implement the required objects, resolve that prerequisite before assuming the widget alone will deliver the full project. - What to confirm Define required feeds, widget or API implementation, changes to order confirmation and who reviews site changes. Ask how new products, insufficient data and unavailable sizes are handled. Request a quote: the product pages consulted do not give a numerical rate for a like-for-like cost comparison. Sources checked on November 10, 2026: [Fit Analytics—Fit Finder](https://provei.ai/en/blog/best-virtual-try-on-solutions-ecommerce#fonte-fitfinder-produto) · [Fit Analytics—How to Use Fit Finder](https://provei.ai/en/blog/best-virtual-try-on-solutions-ecommerce#fonte-fitfinder-guia) · [Fit Analytics—How to Integrate](https://provei.ai/en/blog/best-virtual-try-on-solutions-ecommerce#fonte-fitfinder-integracao) · [Fit Analytics—About Fit Finder: integration documentation](https://provei.ai/en/blog/best-virtual-try-on-solutions-ecommerce#fonte-fitfinder-documentacao) ### Kiwi—guides and recommenders for a Shopify business Kiwi Size Chart & Recommender brings together customizable charts, unit conversions and size recommendation features. Its documented focus is Shopify. It is a relevant alternative when the initial decision is to structure and distribute measurement guides without making photo generation an artificial requirement. - Required input Charts and rules assigning them to products or collections. The official listing describes imports from images, descriptions and CSV files, and guides that apply to new products according to configured rules. The shopper data and logic required depend on the chosen recommender; ask to see the flow rather than assume there is a single form. - What it provides A measurement guide and size suggestions, depending on the enabled features. The site distinguishes apparel and custom recommenders. The documentation consulted does not demonstrate photo-based try-on: images within a guide do not, in themselves, mean it generates a photo of the shopper. - When to consider it Consider it if your store uses Shopify, your team can maintain measurements, and the priority is organizing guides by product or collection. It may be a better fit than a broad visual experience when the gap lies in publishing size charts and setting assignment rules. - When not to start here Do not select it expecting installation on another platform without specific documentation. Nor should you assume the free chart plan provides the recommender you need. If the real difficulty is obtaining reliable measurements from suppliers, a guide editor does not solve that upstream problem on its own. - What to confirm Check the number of publishable charts, enabled recommenders, language and translation included in the plan. The listing states additional order-volume charges on Plus and Ultimate and optional import credits: request the calculation basis and a projection using your order volume, not just the starting price. Sources checked on November 10, 2026: [Kiwi Sizing—Charts and recommenders for Shopify](https://provei.ai/en/blog/best-virtual-try-on-solutions-ecommerce#fonte-kiwi-produto) · [Kiwi Size Chart & Recommender—Official Shopify listing](https://provei.ai/en/blog/best-virtual-try-on-solutions-ecommerce#fonte-kiwi-shopify) ## How the shortlist changes across three fashion businesses ### A private-label brand with a reliable chart and questions about outfit styling If your measurement data is already maintained, start with a visual shortlist of Provei, Genlook and Sizebay with Try-On. Bring garment photos that represent your business, not just the simplest item in the catalog. Ask to see how the flow preserves product identity and returns shoppers to the purchase. If sizing is also needed, request that module within the same scope: the image is not evidence that the recommendation works. ### A multibrand store receiving size charts in different formats The first question is not which photo looks most convincing, but who turns supplier data into a usable foundation and who maintains it. Sizebay documents specialists who create and manage charts; Provei details import review and product-level assignment; Virtusize describes accepting data in different formats. Compare these proposals on the concrete service provided and the work left to the store. Fit Finder adds another sizing approach, also based on purchases and returns, that requires a discussion of feeds and integration. Do not assume any tool can do without all the information from a new catalog. ### A Shopify store that needs to publish consistent guides If the need is to associate the right measurements with collections and offer a suggestion without a personal photo, start by evaluating Kiwi and Virtusize's Shopify offering. Provei also documents dedicated sizing features, but it does not have to be your first option simply because it authored this guide. Compare the flow you will actually use, maintenance and plan limits. A collection with a clearly defined size chart and a business with many different fits do not require the same setup effort. These are editorial scenarios for narrowing a shortlist, not customer cases or completed evaluations. The conclusion should change when your requirements change. If your current tool addresses the problem and the new project merely adds functions with no planned use, keeping the existing setup may be better than migrating. Explanatory diagram · not a product screen or measured result ## Where a good demonstration meets the real catalog Once you have chosen the output you need, follow the same product reference through to purchase. The goal is to establish who is responsible for each transition before opening up the entire catalog. ### Product reference - Input / starting point The product, variant, photos and size chart used by the store. - Output / decision An identifiable SKU and recognizable image or sizing sources. - Limit / check A photo of a different color or a chart for a different fit invalidates the evaluation of that product reference. ### Preparation and assignment - Input / starting point Files, a feed or manual entry, depending on the offering. - Output / decision A product assigned to the correct image and size data, with a named person responsible. - Limit / check Importing data does not demonstrate that it has been interpreted or assigned correctly. ### The response shown to the shopper - Input / starting point The photo, answers or familiar reference required by the selected flow. - Output / decision An image, recommendation or comparison clearly identified as such. - Limit / check A plausible output does not establish that the package's other functions work. ### Continuing the purchase - Input / starting point The product and variant selected after the experience. - Output / decision A return to variant selection or the cart without losing the product reference. - Limit / check A visible button is not proof of current stock information or the correct variant in the cart. Original explanatory diagram for guiding a demonstration. It is neither a technical architecture attributed to a vendor nor a record of a completed test. ## Compare operating costs, not just the starting monthly fee The billing unit changes the comparison. [Genlook](https://genlook.app/#pricing) presents try-on allowances and overages; [Sizebay](https://sizebay.com/pt/provador-virtual/) describes quotes based on traffic and categories; [Virtusize Core](https://virtusize.com/pricing) links its model to assisted conversions; and the [Kiwi listing](https://apps.shopify.com/kiwi-sizing) describes additional order-based charges on certain plans. These are not four versions of the same monthly fee. For Fit Finder, request a quote; the product pages consulted did not establish a rate. On [Provei's pricing page](https://provei.ai/en/pricing), products can be combined and there is a virtual try-on allowance. Visual credits and sizing features follow different rules: the page states that Size Chart and Find Your Size keep working without a try-on credit balance. This is a public condition to confirm for the chosen offering, not a reason to assume any package includes every comparison tool or service in the portfolio. Ask for two views of cost: the recurring contract at your intended volume and the work required to maintain the project. Who corrects an imported chart? Who replaces a variant's photo? Who reviews a new theme? Who adds a collection and checks its coverage? An offering with catalog services may transfer some of that work; a more self-service tool may leave control with the team. Neither model is better without knowing the store's existing capabilities. Also separate the unit used for budgeting from the one shown in reports. A visit is not the same as a generated try-on; an order is not the same as a conversion attributed to the try-on tool; a published chart is not the same as a covered product. Request a commercial projection using your own data, without mixing these quantities to produce an apparently lower price. ## What to gather before narrowing the list to finalists Use this checklist to eliminate genuine incompatibilities. Missing information becomes a question for the vendor; only rule an option out when a mandatory requirement cannot be met or confirmed within your decision timeframe. - **One priority question identified** Record a real support example or customer-journey finding and state which output would help: an image, measurements, a recommendation or a comparison. Do not send shoppers' personal data to illustrate the problem. - **A sample representing different garment fits** Set aside products with different size charts and visual references, including a relevant exception. Identify the source of each measurement and which images belong to the variant. The goal is to assess coverage, not select only favorable examples. - **A defined platform and installation context** Specify the platform, theme, customizations and who can change them. Ask for the documented integration path and the tasks left to the store. Do not accept “integrates with the platform” as a complete project description. - **An itemized plan and availability** List modules, categories, limits, languages and beta features. For Genlook, confirm which assistant is actually enabled; for Sizebay, the Try-On add-on; for Virtusize, Shopify or Core; for Kiwi, the plan's recommender; and for Provei, the included sizing and image features. - **A named maintenance owner** Agree on who reviews data, assigns products, adds new releases and validates store changes. If neither side takes responsibility for a necessary task, keep the project pending: launching does not resolve an unowned responsibility. - **Data documentation requested** Ask for a description of the data collected, purposes, retention, deletion, subprocessors and consent requirements. Do not infer compliance from a lack of registration or a marketing badge; send the documentation to the responsible person in your business. - **A demonstration and cost comparison on the same basis** Request a demonstration within the intended scope and a proposal specifying volume, allowance, overages, service and contract exit terms. Leave detailed evaluation to the subsequent pilot; a vendor demo is not causal evidence of conversion or return outcomes. ## A worksheet for bringing a useful shortlist to the meeting A static version to print or copy and complete in your team's document. It does not collect data, save answers or calculate a recommendation. Complete one copy per vendor so the proposals answer the same questions. **Problem and evidence** Which purchase question do we want to answer? What aggregated record or example without personal data supports this priority? **Required and desirable outputs** Mark each output as required or desirable: a personal image, measurement guide, recommendation and comparison. What would make the proposal unsuitable? **Platform and owner** Which platform/theme does the store use, and who can review the installation? Are there customizations that need to be included in the demonstration? **Available catalog** Which categories, garment fits, photos and charts do we have? Which sample represents the whole catalog, and what is the source of each dataset? **Vendor, plan and module** Which offering are we evaluating? Is the module generally available, an add-on, a beta or subject to access approval? **Source and date** Paste the exact documentation link or identify the proposal and confirmation date. What has only been stated, and what has already been demonstrated? **Question and verbatim answer** What did we ask about the mandatory requirement? Record the answer without turning it into a broader guarantee. **Recurring cost and work** What is the billing basis, allowance and overage charge? Who maintains the catalog, experience and product links after implementation? **Open item and owner** What information or demonstration is missing, who will obtain it, and by when? Does its absence prevent selection or only expansion? **Next decision** Choose whether to proceed to a pilot, await confirmation or rule out the option because of a demonstrated incompatibility. Record the reason without adding up arbitrary scores. [Download the worksheet (.txt)](https://provei.ai/downloads/decision-guides/en/melhores-provadores-virtuais-ecommerce-ficha-da-lista-curta.txt) ## Leave with finalists, not an abstract winner A good shortlist ends with comparable proposals: the same category, required output, underlying data, responsibilities and billing unit. If the goal is visual, ask to see the visual output. If it is sizing, ask for a recommendation linked to your product. If you need both, verify both in the package and in the customer journey, including when one of the functions cannot be used. The next step is not to launch six tests without criteria. It is to take the worksheet to the vendors that meet the mandatory requirements and demonstrate the same catalog sample. For a closer look at procurement without repeating this list, read [how to choose a virtual try-on solution for your online store](https://provei.ai/en/blog/how-to-choose-a-virtual-try-on-for-your-online-store). The best choice for your business is the one that answers the right question with data and a routine your team can sustain. ## How this guide was prepared Content is the responsibility of [Provei.AI](https://provei.ai/en/company), with AI assistance in organizing the research and drafting. We compared official product, pricing, help and technical documentation pages consulted on **10/11/2026**. Provei supplies one of the solutions and has a commercial interest in the topic; this is not an independent ranking. We did not install the six solutions, conduct independent hands-on testing, or assess generated images or commercial effectiveness. The sources confirm what vendors publish, not accuracy, conversion or reductions in returns. The scenarios, diagrams and worksheet are editorial syntheses to support shortlisting. A feature not demonstrated in the consulted sources was not treated as nonexistent; plans, beta availability, integration and commercial terms require confirmation for the store. ## Sources and further reading - [Provei.AI—Fashion Virtual Try-On](https://provei.ai/produtos/provador-fashion) A photo of the person and a product reference; the product-page experience; visualization complements measurements and recommendations. Consulted on 10/11/2026. · Checked: November 10, 2026. - [Provei.AI—Sizing](https://provei.ai/produtos/tamanhos) Distinction between size charts, recommendations and comparison of alternatives. Consulted on 10/11/2026. · Checked: November 10, 2026. - [Provei.AI—Size Recommendation](https://provei.ai/produtos/recomendacao-de-tamanho) Data defined by brand/category, dependence on garment fit specifications and no fit guarantee. Consulted on 10/11/2026. · Checked: November 10, 2026. - [Provei.AI—How to install virtual try-on](https://provei.ai/ajuda/instalacao/) Theme code, account/catalog/domain prerequisites, separate codes for each try-on tool and the limits of the script-presence check. Consulted on 10/11/2026; stated update on 09/11/2026. · Checked: November 10, 2026. - [Provei.AI—Assigning size charts to products](https://provei.ai/ajuda/medidas-e-tamanhos/vincular-produtos/) Chart assignment, applicable sizes, garment type and the dependencies of sizing features. Consulted on 10/11/2026; stated update on 09/11/2026. · Checked: November 10, 2026. - [Provei.AI—Importing size charts](https://provei.ai/ajuda/medidas-e-tamanhos/importar-tabelas/) Importing charts in different formats, reviewing them and subsequently assigning them to products. Consulted on 10/11/2026; stated update on 06/11/2026. · Checked: November 10, 2026. - [Provei.AI—Plans and pricing](https://provei.ai/precos) Configuration by products and try-on volume; Size Chart and Find Your Size continue without visual credits; conditions subject to commercial confirmation. Commercial terms depend on the selected package. Consulted on 10/11/2026. · Checked: November 10, 2026. - [Genlook—Product and installation questions](https://genlook.app/) Generation using a personal photo and a product image; choice of reference; Shopify app, WooCommerce plugin, PrestaShop module and API. Consulted on 10/11/2026. · Checked: November 10, 2026. - [Genlook—Monthly plans with try-ons included](https://genlook.app/#pricing) Allowances, overages and the AI size assistant beta on Growth. The beta label does not establish availability to every account. Consulted on 10/11/2026. · Checked: November 10, 2026. - [Genlook—AI size chart](https://genlook.app/size-chart) An offering based on the store's chart; waiting list and batch rollout starting with Shopify, with no general-access date. Availability must be reconciled with the beta listed on Growth. Consulted on 10/11/2026. · Checked: November 10, 2026. - [Sizebay—Virtual Fitting Room](https://sizebay.com/pt/provador-virtual/) Shopper inputs, product-specific recommendations, charts managed by specialists, stated integrations, quotes based on traffic/categories and Try-On as an add-on. Consulted on 10/11/2026. · Checked: November 10, 2026. - [Sizebay—Integrated Try-On](https://conteudos.sizebay.com/try-on-sizebay-demo) Visualization in the shopper's own photo and recommendations, on the product page and without registration, according to the vendor's statement. Consulted on 10/11/2026. · Checked: November 10, 2026. - [Virtusize—Virtual Fitting Room & Size Recommendations](https://virtusize.com/virtusize) Category-specific inputs, recommendations, familiar references, measurement visualization on the item, and data acceptance through files/feeds. Does not establish photographic generation of the shopper. Consulted on 10/11/2026. · Checked: November 10, 2026. - [Virtusize—Pricing](https://virtusize.com/pricing) Difference between the Shopify apparel/manual-upload offering and Core; fit comparison and billing linked to assisted conversions in Core. Consulted on 10/11/2026. · Checked: November 10, 2026. - [Fit Analytics—Fit Finder](https://fitanalytics.com/fit-finder) Size and preference questions, recommendations and Fit Cues on eligible products. Does not demonstrate photo-based try-on in the sources consulted. Consulted on 10/11/2026. · Checked: November 10, 2026. - [Fit Analytics—How to Use Fit Finder](https://fitanalytics.com/resources/how-to-use-fit-finder) Data such as height/weight/age, comparison with shoppers and retained sizes, categories and the exclusion of accessories. Consulted on 10/11/2026. · Checked: November 10, 2026. - [Fit Analytics—How to Integrate](https://fitanalytics.com/how-to-integrate) Commercial integration paths using a widget or API. Consulted on 10/11/2026. · Checked: November 10, 2026. - [Fit Analytics—About Fit Finder: integration documentation](https://developers.fitanalytics.com/about-fit-finder/) Product/order objects, matching with feeds, the store's technical responsibility and dependencies related to site changes. Consulted on 10/11/2026. · Checked: November 10, 2026. - [Kiwi Sizing—Charts and recommenders for Shopify](https://kiwisizing.com/) Customizable charts, units, apparel and custom recommenders. The product page does not demonstrate personal photo generation. Consulted on 10/11/2026. · Checked: November 10, 2026. - [Kiwi Size Chart & Recommender—Official Shopify listing](https://apps.shopify.com/kiwi-sizing) Imports, product/collection guides and plan limits; additional order-based charges on Plus/Ultimate and optional import credits. Consulted on 10/11/2026. · Checked: November 10, 2026. ## Want to evaluate Provei with the right problem in mind? Bring your priority, platform and a catalog sample. In the conversation, check which image and sizing features match the project, what data will be needed and what will be included in the package before defining a pilot. [Discuss my store's shortlist](https://provei.ai/en/contact) ## Continue with the next decision - [How to choose a virtual try-on solution for your online store](https://provei.ai/en/blog/how-to-choose-a-virtual-try-on-for-your-online-store) - [Size chart, size recommendation or size comparison: which should you use?](https://provei.ai/en/blog/size-chart-size-recommendation-or-size-comparison-which-to-use) - [How to create a size guide for ecommerce](https://provei.ai/en/blog/how-to-create-an-ecommerce-size-guide) ## Related - [Português (Brasil)](https://provei.ai/blog/melhores-provadores-virtuais-ecommerce)