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WeShopAI Virtual Try-On

Hong Kong

What it is

WeShopAI Virtual Try-On creates visuals of AI models wearing garments from uploaded images, flat-lays, or product shots. Users can select models with different body types, poses, and appearances, then change outfits while keeping the same model, pose, and scene. The generated images are intended for product pages, catalogs, ads, social media, and campaigns, without physical samples or a traditional photoshoot. The tool runs online and requires no downloads or advanced editing skills. It is listed for web, Android, iOS, and API use, with app downloads linked from WeShop AI’s pricing page. A free trial provides 200 points, selected models, one concurrent job, and a frequency limit. Paid plans begin at $7.99 per month, billed annually. Points expire within the subscription period and do not roll over; annual plan points are allocated once a year. API access varies by plan: Ultra excludes Virtual Try-On from its premium API skills, while Enterprise includes standard and premium API skills. The product page recommends clear garment images with even lighting to capture details.

For and against

For

  • Accepts garment images, flat-lays, and product shots.
  • Offers models with varied body types and appearances.
  • Can swap outfits while preserving model, pose, and scene.
  • Free trial includes 200 points.
  • Runs online without downloads or advanced editing skills.

Against

  • Trial has selected models and a frequency limit.
  • Trial allows one concurrent job.
  • Points expire and do not roll over.
  • Ultra API excludes Virtual Try-On.

The verdict

WeShopAI Virtual Try-On turns garment images into marketing visuals and supports outfit changes against a consistent model and scene. Review the trial limits, point expiration, annual billing, and API plan differences before choosing a plan.

Who it suits

It may suit apparel sellers and campaign creators who need model imagery from garment photos rather than physical samples or a traditional shoot. API use may suit teams whose selected plan includes the needed skills.

Plans and prices

Free Trial

Free

200 points · selected models · 1 concurrent job · frequency limit

Pro

$9.99a month, billed yearly

12,000 points/year · all models · 16 concurrent jobs · API access to standard and premium agents

Ultra

$45usage-based

72,000 points/year · all models · 48 concurrent jobs · high-priority queue

Enterprise

$457a month, billed yearly

180,000 points/year · all models · 48 concurrent jobs · high-priority queue

Every plan, in full

On the record

API
WeShop provides an OpenAPI for creating and managing agent tasks and uploading assets; API access depends on plan.open.weshop.ai · read 8 Oct 2026
API inputs
The documented create-task request accepts an original image and optional fashion-model and location images, with externally hosted images required to be publicly reachable.open.weshop.ai · read 15 Oct 2026
API key allowance
An API-plan user can generate up to five valid API keys from the My API area.open.weshop.ai · read 15 Oct 2026
API limitation
The pricing FAQ says Ultra API access excludes premium tools including Virtual Try-On, while Enterprise includes standard and premium API skills.weshop.ai · read 8 Oct 2026
API operations
The API documentation covers image upload, task creation, task execution, status queries, listing and deletion, with curl examples and response schemas.open.weshop.ai · read 15 Oct 2026
CLI and SDK extensibility
The maker publishes a public GitHub weshop-cli that runs virtual try-on and other agents from a terminal; no language-specific SDK is identified on that page.github.com · read 15 Oct 2026
Company and location
The terms identify WeShop.com Limited as registered in Hong Kong and give a Hong Kong registered address.weshop.ai · read 8 Oct 2026
Company headquarters and size
LinkedIn lists Hong Kong headquarters and a company size of 11–50 employees.hk.linkedin.com · read 15 Oct 2026
Company legal name
The terms identify the operating company as WeShop.com Limited (WESHOP.COM LIMITED), registered in Hong Kong.weshop.ai · read 15 Oct 2026
Data retention
The privacy policy says personal information may be retained for up to 72 months after account termination unless deletion or anonymization occurs sooner.weshop.ai · read 15 Oct 2026
Exports
Generated try-on visuals can be downloaded for websites, online stores, paid advertising, social media and campaign materials.weshop.ai · read 15 Oct 2026
Garment inputs
Users can upload a garment image, flat-lay, or product shot to generate try-on results.weshop.ai · read 8 Oct 2026
Input guidance
The product page recommends a clear garment image with even lighting for better fabric and garment detail capture.weshop.ai · read 8 Oct 2026
Input workflow
Users upload a garment, flat-lay or product image, choose a model or setting, and generate the result.weshop.ai · read 15 Oct 2026
Integration
WeShop has a Shopify App Store listing that installs through a Shopify store account and provides AI model, product, video, background-removal and upscaling functions.apps.shopify.com · read 15 Oct 2026
Licence
The website terms describe WeShop content and software as proprietary; the product is not presented as open source.weshop.ai · read 15 Oct 2026
Limit: cancellation support
Trustpilot and Google Play reviewers report difficulty cancelling subscriptions and describe unresponsive or rejecting support interactions.trustpilot.com · read 15 Oct 2026
Limit: failed generations
Google Play reviewers report that repeated attempts sometimes failed to create a usable image.play.google.com · read 15 Oct 2026

The review

WeShopAI Virtual Try-On creates images of AI models wearing uploaded garments, for apparel sellers and marketers making product or campaign visuals. It is strongest when a team needs varied imagery without a physical sample or photoshoot; point expiration and a meaningful gap between API tiers call for care before committing.

Overview

Upload a garment photo, flat-lay or product shot to create a try-on image. The online workflow needs no download or advanced editing skills, but source quality still matters: WeShop recommends a clear, evenly lit garment image to capture fabric and garment detail.

Images can be used for product pages, catalogs, ads, social media and campaigns. Model options vary in body type, pose and appearance, while outfit swaps can preserve the same model, pose and scene. That consistency is useful for presenting clothing variations within a coherent visual set.

Key features

  • Garment image generation: Use a garment image, flat-lay or product shot as the input. This avoids arranging a traditional shoot, although the recommended lighting and clarity mean a poor source image can limit the result.
  • Model selection and outfit changes: Choose among models with different body types, poses and appearances, then change clothing while holding the model and scene steady. This suits product variations and campaign sets that benefit from a consistent presentation.
  • Online access and mobile apps: The workflow runs online, and WeShop AI links to iOS and Android app downloads from its pricing page. The product is also available on web and offers API access, though API skills depend on the plan.
  • API tasks: WeShop's OpenAPI supports creating and managing agent tasks and uploading assets. It may suit teams building an integration, but Ultra API access excludes premium tools such as Virtual Try-On; Enterprise includes standard and premium API skills.

Pricing

WeShopAI has a free registration trial and paid plans with annual billing. The plans allocate points per year, and unused points expire within the subscription period rather than rolling over. Annual-plan points are allocated once per year, so teams should size their usage around an annual allocation instead of expecting a monthly refresh.

PlanPriceWhat it includesBest fit
Free Trialfree200 points on registration, selected models only, 1 concurrent job and a frequency limitInitial evaluation, not sustained production
Pro$7.99 a month (billed annually)12,000 points/year, 16 concurrent jobs and access to all modelsSmaller teams wanting all models at the lowest paid tier
Ultra$36 a month (billed annually)72,000 points/year, 48 concurrent jobs, high-priority queue and all modelsHigher-volume image work that benefits from priority processing
Enterprise$365.60 a month (billed annually)180,000 points/year, 48 concurrent jobs, high-priority queue and all modelsLarge workloads and access to premium API skills

Pro keeps the entry price low but has fewer annual points and concurrent jobs than the upper tiers, and does not include a high-priority queue. Ultra raises capacity and priority, but its API access still excludes Virtual Try-On. Enterprise is a substantial annual commitment; its distinguishing API advantage matters most to businesses that need premium skills, not simply more image capacity.

Platforms

WeShopAI is available on Android, iOS and web, with API access dependent on plan. Mobile apps are linked from the pricing page. The plan distinction is consequential for developers: Enterprise includes premium API skills, while Ultra excludes Virtual Try-On from API access.

Who it's for

This is a practical fit for apparel sellers and marketing teams that need clothing visuals for commerce or campaigns and want to vary models or outfits without physical samples and traditional shoots. It is less suitable for a user seeking an unrestricted free tool: the trial starts with 200 points, selected models, one concurrent job and a frequency limit. Developers who specifically need Virtual Try-On through the API should consider whether Enterprise's higher price is justified.

Pros and cons

  • Pros: Model and scene consistency. Outfit swaps can keep the same model, pose and scene, helping teams build a coordinated set of garment visuals.
  • Pros: Useful input flexibility. Garment images, flat-lays and product shots can all be used, supporting several common apparel image starting points.
  • Pros: Multiple production routes. Online, Android, iOS and API options give teams more than one way to access the service.
  • Cons: Trial restrictions. The 200-point registration allowance, selected models, single concurrent job and frequency limit make the free tier an evaluation option rather than a dependable ongoing workflow.
  • Cons: Points expire. Points do not roll over, and annual allocations arrive once per year, so irregular use can leave paid capacity unused.
  • Cons: API tier split. Ultra excludes Virtual Try-On from premium API tools, leaving Enterprise as the plan that includes premium API skills.

Alternatives

For a wider comparison, see Virtual Try-On Software.

  • TryItOn is worth considering for a freemium option with a free plan across Android, API, browser extension, iOS, macOS, web and Windows; its Starter tier includes three try-ons and a small wardrobe.
  • Perfect Corp. AI Makeup Virtual Try-On API is an alternative for readers looking specifically at an AI makeup virtual try-on API, with paid pricing and a free trial.
  • PICTOFiT is another paid option across Android, iOS and web.
  • Tryonixs may suit a Shopify seller seeking product-level integration and basic analytics; its Starter plan is $19 a month and covers up to 25 products.
  • AI Clothes Changer API is a paid API alternative with no free plan and a free trial.
  • makeup|SDK is a paid option for makeup SDK needs, with custom pricing.
  • Style.me Virtual Fitting uses custom monthly pricing based on digitized item quantity and traffic volume.
  • Banuba TINT is an alternative with a 14-day free trial and a Basic plan at $49 a month for 1,000 virtual try-ons per month and unlimited products.

Verdict

WeShopAI Virtual Try-On is best for apparel teams that need repeatable garment imagery and value model variety and consistent outfit swaps without staging traditional shoots. Its annual point allotments and broad output uses make it a credible production option, but point expiration and the Ultra API exclusion are real constraints. Choose it for visual content creation; look elsewhere if you need a generous free tier or Virtual Try-On through the API without moving to Enterprise.

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