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Does Your Browser Support Face Detection?

Test the browser-native FaceDetector API with your webcam. See real-time face bounding boxes, landmark detection, and performance metrics. All processing happens locally on your device.

Tests your browser's FaceDetector API support and measures face detection performance — detection speed, bounding box accuracy, landmark positions (eyes, nose, mouth), and maximum detectable faces.

The FaceDetector API is part of the Shape Detection API and runs on-device using platform-native face detection (Core ML on macOS, Android ML on mobile) — no data leaves your browser.

Faces Detected

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What Do Your Results Mean?

Result Range Meaning
Good Face detected consistently at 15+ FPS with accurate bounding boxes Your browser and hardware fully support the FaceDetector API. Detection is fast enough for real-time applications like video calls and AR effects.
Warning Face detected intermittently or below 10 FPS Detection works but performance is limited. This may be due to poor lighting, camera resolution, or CPU constraints. Improve lighting conditions for better results.
Poor FaceDetector API not available or no face detected Your browser does not support the FaceDetector API (Firefox and Safari currently lack support), or camera access is blocked. Try Chrome or Edge on a supported platform.

Common Issues & Solutions

Browser shows 'FaceDetector is not defined' error

The FaceDetector API is currently supported in Chromium-based browsers (Chrome, Edge, Opera) on macOS, Windows, and Android. Firefox and Safari do not yet support it. Enable the 'Experimental Web Platform features' flag in chrome://flags if needed.

Face is not detected even though the camera is working

Ensure your face is well-lit and fully visible in the camera frame. Remove sunglasses or face coverings. Face the camera directly — extreme angles reduce detection accuracy. Increase camera resolution in settings if available.

Detection is very slow or causes the page to lag

Face detection is CPU-intensive. Close other tabs and applications to free resources. Reduce the camera resolution to 640x480 for faster processing. On older hardware, detection speed may be inherently limited.

Camera permission is denied

Click the lock icon in your browser address bar and set Camera to 'Allow'. On macOS, also check System Settings > Privacy & Security > Camera to ensure your browser is listed and enabled.

Related Tools

Webcam Test

Check if your webcam is working and preview video

Lighting Check

Analyze lighting and white balance conditions

Camera FPS Test

Measure your camera's frame rate and resolution

Frequently Asked Questions

Is my face data sent to any server?

Absolutely not. The FaceDetector API runs entirely on your device using your operating system's native ML capabilities (Core ML on macOS, Android ML Kit on mobile). No video frames, face data, or detection results are transmitted anywhere. You can verify this in your browser's DevTools Network tab — zero requests during testing.

Which browsers support the FaceDetector API?

As of 2025, the FaceDetector API is supported in Chromium-based browsers: Google Chrome, Microsoft Edge, and Opera on Windows, macOS, ChromeOS, and Android. Firefox and Safari do not currently support it. The API is part of the Shape Detection API specification, which is still evolving as a web standard.

How accurate is browser-based face detection compared to dedicated software?

The browser FaceDetector API leverages platform-native ML models, so accuracy is comparable to native apps on the same platform. On macOS, it uses Core ML's Vision framework; on Android, it uses ML Kit. Detection accuracy is typically 95%+ for frontal faces in good lighting, but decreases with extreme angles, occlusion, or poor lighting conditions.

Can this test detect multiple faces simultaneously?

Yes, the FaceDetector API can detect multiple faces in a single frame. The maximum number depends on the platform implementation — typically up to 10 faces. The test displays bounding boxes for all detected faces and shows the total count. Group video call applications rely on this multi-face capability.