Perfect Corp. AI Makeup Virtual Try-On API

Perfect Corp. AI Makeup Virtual Try-On API adds customizable makeup effects to user-provided selfie photos. Its rendering combines 3D face analysis and facial tracking that adapts to lighting, with matching for real-world product colors, textures, and finishes. Requests can specify makeup categories, patterns, colors, intensity, and textures such as matte, shimmer, and metallic. Supported product types include foundation, blush, concealer, bronzer, contour, eyeshadow, eyeliner, eyebrow and lash products, lip color and liner, highlight, and skin smoother.

The API uses an asynchronous REST workflow: submit an image and effects, receive a task ID, then poll for a result or error. Input can be a publicly accessible image URL or an uploaded JPG, JPEG, or PNG file under 10 MB, with a long side below 1,920 pixels and detected face width of at least 100 pixels. Each V1.0 task uses one unit. Developers can register for a free YouCam API account, then purchase or subscribe for units; pricing is on request. Integration options include websites, e-commerce platforms, iOS and Android apps, applets, and mini-programs.

The API provides a configurable virtual makeup workflow with several integration options and documented image requirements. Its unit-based access and key and biometric responsibilities are important considerations for implementation.

It suits beauty and fashion brands, retailers, and developers building photo-based makeup try-on into apps or websites. Teams should be prepared to manage API keys, image requirements, and unit usage.

Perfect Corp. AI Makeup Virtual Try-On API adds configurable virtual makeup to selfie photos, making it a fit for beauty brands and retailers building try-on into a shopping or mobile experience. Its broad makeup controls and asynchronous REST workflow suit teams with API development capacity; per-task units and biometric data responsibilities deserve careful consideration.

Overview

The API applies makeup effects to user-provided photos, including blush, foundation, concealer, eye makeup, lip color, contour, bronzer, highlight, and skin smoothing. Requests can control effect categories, colors, patterns, intensity, and supported finishes such as matte, shimmer, and metallic.

Perfect Corp. describes 3D face AI rendering and facial tracking that adapts to lighting, with product colors, textures, and finishes matched to real-world products. That combination is useful for retailers who want customers to preview specific beauty products rather than apply a generic look.

Key features

Configurable photo workflow

Developers submit an image and effects, receive a task ID, then poll for status and the result or an error. This asynchronous design fits applications that can manage background processing; it requires handling task status rather than returning a finished image in the initial request. Images can come from a public URL or an uploaded file. Files obtained through the File API must first be uploaded to the returned URL.

Input must be JPG, JPEG, or PNG under 10 MB, with a longest side under 1,920 pixels and a detected face at least 100 pixels wide. These checks make image preparation and validation part of a reliable integration.

Rendering and defaults

The API documents facial tracking that adjusts to lighting and rendering intended to reflect product colors and finishes. If a request leaves out the skin_smooth effect, the engine applies a default value of 50; applications that should preserve the original skin appearance need to set the documented parameter to zero.

AI Makeup Virtual Try-On V1.0 consumes one unit per task. Failed query or engine tasks do not consume units, which limits charges for those failure cases. An official playground lets developers explore the API interactively, and the documentation provides an email contact for issues.

Privacy and security

Photos uploaded for cloud try-on and AI processing are permanently deleted from Perfect Corp.'s server after the service is completed. Brand clients using the API may receive and store generated outputs that contain personal information, so the receiving application must account for that handling. API users are responsible for securing their keys, and the terms include consent to collection and use of biometric information as described in the privacy policy.

Perfect Corp. describes a GDPR commitment and ISO/IEC 27001:2022 compliance. Its HIPAA statement concerns AI Skin Analyzer, so it should not be treated as a HIPAA claim for this makeup API.

Pricing

The API is paid, with custom pricing. Developers can register a YouCam API account for free, then purchase or subscribe to obtain units. Each V1.0 makeup task uses one unit, so the relevant cost depends on the unit arrangement and expected task volume. Failed query or engine tasks do not use units.

A free trial is available, but no trial duration or unit allowance is given. This is a reasonable way for a development team to explore the workflow before committing, though it does not establish the cost of a production rollout.

Platforms

The API is listed for Android, iOS, and web, alongside API access. Perfect Corp. says its RESTful AI APIs can also be integrated into e-commerce platforms, applets, and mini-programs, giving retailers several ways to place try-on within a customer journey.

Who it's for

This is best suited to beauty and fashion brands, retailers, and developers who want photo-based makeup try-on embedded in a website, commerce platform, or mobile app. It is a stronger fit for teams able to implement an API workflow and manage image requirements, task polling, unit usage, API keys, and biometric consent. A consumer looking for a standalone makeup app should look for a product designed for direct personal use.

Pros and cons

• Pros: Fine-grained control over makeup categories, colors, patterns, intensity, and finishes supports tailored product previews.
• Pros: REST integration spans web, commerce, iOS, Android, applets, and mini-programs, which suits brands serving customers across multiple channels.
• Pros: Failed query or engine tasks do not consume units, and uploaded processing photos are deleted after service completion.
• Cons: One unit is consumed per task, while pricing is custom, making budget planning dependent on a quote and expected volume.
• Cons: Strict image dimensions, file types, size, and face-width thresholds can rule out or require preparation of some customer photos.
• Cons: The asynchronous task-and-poll flow and responsibility for API keys and biometric consent add implementation and privacy work.

Alternatives

For a different virtual try-on product, browse Virtual Try-On Software. Choose TryItOn if a freemium option with a free plan across platforms including desktop systems better suits the project. WeShopAI Virtual Try-On may suit teams that want a free trial with 200 registration points and selected models. PICTOFiT is another paid option for Android, iOS, and web.

Tryonixs may fit a Shopify store seeking product try-on and basic analytics, with its Starter plan priced at $19 a month. AI Clothes Changer API is a paid alternative with a free trial for teams considering a clothes-changing API. makeup|SDK is another paid makeup integration option, with a license whose SKU count is not limited. Style.me Virtual Fitting offers custom monthly subscriptions based on digitized items and traffic volume. Banuba TINT may suit teams seeking a paid try-on platform with a 14-day trial and a Basic plan priced at $49 a month.

Verdict

Perfect Corp. AI Makeup Virtual Try-On API is a strong fit for beauty brands and retailers that want configurable, product-oriented makeup previews integrated into their own digital channels. Its rendering controls and broad integration options are the main reasons to choose it; custom unit pricing, image constraints, and biometric responsibilities are the main reasons to compare alternatives before committing.