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A smooth demo proves that one setup worked once: one laptop, one browser, one camera, and a developer who already knows which button to press. A shopper arrives with a different browser version, a phone held in portrait, a camera another app is already using, and a site whose permissions settings nobody on your team has reviewed recently. Those conditions decide whether a virtual makeup or accessory try-on actually works.
This guide is a pre-release test plan for a web-based beauty AR experience. It covers the failure modes that vendor documentation describes, the configuration steps that differ between a local sample and a production deployment, and the places where public documentation stops short of giving you a pass or fail threshold. The vendor examples below come from Tencent’s Beauty AR Web SDK and WebAR.rocks.face documentation. Check the wording against the current documentation for whichever SDK you use, because release steps and labels change between versions.
What a smooth demo does and does not prove
A demo answers one question: did this combination of browser, device, camera, effect and network work in this moment? It does not answer whether the same experience will run for a shopper on a mid-range Android phone with battery saver on, a laptop with integrated graphics, or a browser that has been blocked from using the camera by a parent page.
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Treat the demo as a baseline and build the test plan around the differences between it and the shopper’s session. The sections below follow the order in which a session fails in practice: the browser must support the rendering path, the shopper must be able to grant camera access, the video must be sized and oriented correctly, the chosen effect must have the tracking input it needs, and the release configuration must match production rules.
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Browser and hardware support are part of the experience
Tencent describes its Beauty AR Web SDK as relying on hardware acceleration to achieve smooth rendering, and its documentation includes a way to check browser support. If hardware acceleration is unavailable or disabled, the rendering path that makes the effect look smooth on your demo machine may not be available to a shopper. Test on the browsers your audience actually uses, and on hardware that is representative of the lower end of that audience, rather than only on the machine where the feature was built.
WebGL availability and lost context
WebAR.rocks.face documents WebGL incompatibility and a lost WebGL context as possible errors. A lost context is a rendering failure that can happen after the experience has already started, for example when the operating system reclaims graphics resources. Your test plan should force both situations: a browser or device where WebGL is unavailable, and a session where the context is lost while the try-on is running. Log each as a distinct capability state with the recovery path the shopper sees, such as a static product image, a retry button, or a message explaining the requirement.
Camera permission is a sequence with several outcomes
Camera access is not a single yes or no. The TryOn documentation separates the shopper’s consent to the experience from the browser’s own camera decision. It also identifies the site’s Permissions-Policy as a possible reason the camera is blocked before the shopper is ever prompted. That matters because a site-level block looks identical to a broken experience unless you check it separately.
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WebAR.rocks.face lists camera-unavailable conditions, including a missing camera, a denied permission, and a camera already in use by another application. Each one needs its own test case and its own message, because the fix is different in each case.
| Outcome | What it means | What to check or log |
|---|---|---|
| Shopper has not yet been asked | The experience is waiting for consent or the browser prompt | Consent shown before any camera request; time to first decision |
| Consent given, camera blocked before prompt | Site Permissions-Policy may prevent the camera request, as TryOn documentation notes |
Policy header on the page and any embedding frame; logged as a site configuration state, not a shopper refusal |
| Browser permission granted | Camera stream can start | Stream start time, orientation, resolution actually delivered |
| Browser permission denied | Shopper or browser has refused camera access | Recovery message with instructions to change site permission; not counted as a rendering error |
| No camera available | Device has no usable camera, or the browser reports none | Fallback path such as a product image or a different try-on mode |
| Camera in use | Another application or tab holds the camera | Retry path and a message telling the shopper to close the other app |
Keep shopper consent and browser permission distinct in your analytics. A shopper who declined the experience and a shopper whose browser blocked the camera are different events, and merging them makes both numbers useless for diagnosing the funnel.
Rendering size and portrait viewports
WebAR.rocks.face states that canvas dimensions set the resolution used for computation and rendering. If you enlarge the canvas with CSS without increasing its resolution, the output can look blurred or pixelated, even though the tracking itself works. The same documentation advises resizing the canvas after initialization rather than assuming the first size will hold.
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Its documented video settings include dimensions and orientation behavior for portrait devices. In practice, this means a layout that looks correct in a desktop browser window can produce a different stream shape on a phone held upright. Test both orientations, rotate the device during a session, and resize the browser window while the try-on is active. Check that the face or product stays aligned with the overlay after each change, and that the canvas resolution matches its displayed size.
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Tencent’s integration guide lists makeup, glasses, contact lenses, headwear and rings as try-on effects. The tracking input is not the same across them. Its ring example requires hand landmark tracking and a fully visible palm in the camera field of view. A test that confirms a lipstick overlay works says nothing about whether a ring try-on can track a hand that is partly out of frame.
| Effect | Tracking input stated in the source | What to test |
|---|---|---|
| Makeup | Not separately specified in the integration guide reviewed; confirm the module in your SDK documentation | Lighting, skin tone range, face partially turned or out of frame |
| Glasses | Not separately specified in the integration guide reviewed; confirm the module in your SDK documentation | Head turns, eyewear already worn, frame fit at different camera distances |
| Contact lenses | Not separately specified in the integration guide reviewed; confirm the module in your SDK documentation | Close-up framing and eye visibility at the canvas size you ship |
| Headwear | Not separately specified in the integration guide reviewed; confirm the module in your SDK documentation | Hair, hats, and head position changes during a session |
| Rings | Hand landmark tracking, with a fully visible palm in the camera field of view | Palm fully visible, partly visible, moved out of frame, and hand held at different distances |
For each effect, confirm which tracking module it requires and include that module in the release build. If a module is missing in production but present in the local sample, the effect will look broken only to shoppers.
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Lifecycle, backgrounding and recovery
A try-on session has stages: SDK initialization, effect loading, the first ready or output event, ongoing rendering, and shutdown. Tencent’s integration example notes that output streams can vary by lifecycle stage, so do not assume the stream you receive at initialization is the one you will use at steady state. WebAR.rocks.face documents behavior when the page loses focus, so test what happens when the shopper switches tabs, opens another app, or receives a call during a session.
- Load the page cold, with no cached SDK assets, and record the time from initialization to the first ready state.
- Load an effect, then load a second effect type from the same page without reloading, and confirm the earlier effect is removed from the canvas.
- Start a session, switch to another tab for at least one minute, return, and confirm tracking resumes without a manual reload.
- Force a rendering context error, if your SDK exposes a way to simulate one, or lose the context with a graphics-reset tool in your test environment, and confirm the shopper gets a recovery path rather than a blank canvas.
- Rotate the device, resize the window, and confirm the canvas resolution and overlay position stay correct.
- Stop the session and start it again to check that the camera is released and can be requested again.
Local sample and production configuration are different things
Tencent’s Quick Start sample is labelled for local testing only. Its documentation says official production use requires an official license and a configured site domain, and that production signature generation should be implemented on the server. A demo that runs from a local address with a sample key has passed none of these checks.
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- Register each production domain, including any staging or subdomain you intend to serve the experience from, and test from each one.
- Move signature generation to the server before launch and confirm the client never holds the secret that produces it.
- Check that the release build loads the same SDK version and tracking modules you tested in the demo.
These steps are specific to Tencent’s documented workflow. Verify the equivalent steps for any other vendor against that vendor’s own instructions rather than assuming they match.
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Privacy and data flow depend on the try-on mode
TryOn documentation says that real-time AR frames are processed on the device and are not uploaded. Its AI Swap mode is different: the shopper’s photo is uploaded to the vendor’s API and processing engine. The same documentation states that the retention period for the processing engine is not documented there, so you cannot infer retention from the product page. Check the vendor’s privacy policy and data processing agreement before you describe the data flow to shoppers.
| Try-on mode | Where shopper data goes, per TryOn documentation | What to verify before launch |
|---|---|---|
| Real-time AR try-on | Frames processed on the device and not uploaded | Consent text matches this behavior; no frame upload appears in network logs during a session |
| AI Swap | Shopper’s photo uploaded to the vendor’s API and processing engine | Separate consent for upload; retention and processor details in the vendor’s privacy policy and DPA, not in the product docs |
The TryOn example records session and device identifiers along with product and diagnostic information. That is one vendor’s example, not a description of every product, so map your own event schema against your own vendor’s data documentation.
A launch sequence that follows the session
- Confirm target browsers and hardware, including lower-end devices, and record which capability states appear.
- Test every camera outcome in the permission table, including the site-level policy block.
- Test rendering at each orientation and canvas size you ship, and resize during an active session.
- Test each effect type with its tracking prerequisite, including partial visibility.
- Run the lifecycle steps, including backgrounding and recovery from a rendering error.
- Verify the production license, domain registration, server-side signature handling and data path for the mode you launch.
What public evidence does not establish
The vendor documentation reviewed here describes failure modes, configuration requirements and data flows. It does not set an acceptable frame rate, a latency budget, a device support percentage, or a failure rate that a launch must meet. Those thresholds have to come from your own measurements on your own audience’s devices. Vendor pages also do not report comparable benchmarks across SDKs, so use the checks above to compare implementation options on browser support, permission behavior, effect prerequisites, lifecycle handling, production requirements and data flow, rather than on performance claims.
The Tencent Beauty AR Web overview is dated 1 July 2026 and is machine-translated on the page, so confirm exact technical wording in the current documentation before you rely on it. The Quick Start guide is dated 16 September 2025. The integration, TryOn and repository pages did not show a publication date when reviewed, so check their current versions before you set a release gate.
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