Face Blur Anonymizer

Free Face Blur Anonymizer - Auto Blur Faces for Privacy Protection

Our Face Blur Anonymizer uses advanced AI to automatically detect and blur or pixelate faces in photos, protecting privacy and ensuring GDPR compliance. Powered by face-api.js, all processing happens locally in your browser - your photos never leave your device.

The tool detects all faces in an image using deep learning models, then applies your choice of Gaussian blur or pixelate effects to anonymize them. Perfect for social media, public photos, GDPR compliance, witness protection, and privacy-focused content.

How does Face Blur Anonymizer work?

The tool uses face-api.js with TinyFaceDetector and SSD MobileNet models to automatically detect all faces in your image. Once faces are detected, you can choose between two anonymization effects: Gaussian Blur (smooth, professional-looking) or Pixelate (mosaic blocks). You can adjust the intensity and padding to control how much area around each face is anonymized. All processing happens locally in your browser for complete privacy.

What's the difference between Blur and Pixelate?

Blur applies a smooth Gaussian blur effect that gradually blends pixels together, creating a professional, soft appearance - similar to blurred faces on TV. Pixelate creates a mosaic effect by averaging pixel blocks into solid colors, resulting in the classic 'censored' look. Blur is better for subtle anonymization, while pixelate ensures faces are completely unrecognizable.

Can I adjust how much area is blurred around faces?

Yes! The 'Face Area Padding' slider lets you add extra margin (0-50%) around each detected face. This ensures hair, ears, and other identifying features near the face are also anonymized. We recommend 20% padding for most use cases, but you can increase it for stricter privacy requirements.

Is this GDPR compliant for publishing photos?

Yes! This tool helps you comply with GDPR and privacy regulations by anonymizing faces before publishing photos online. Since all processing happens locally in your browser and no data is uploaded to servers, the tool itself is also privacy-compliant. However, always ensure you have proper consent before taking photos and consider local privacy laws.

Are my photos private and secure?

Absolutely! All face detection and anonymization happens entirely in your browser. Your photos are never uploaded to any server, shared with anyone, or stored anywhere. The AI models (about 5-10MB) download once, then everything works offline. This ensures complete privacy and security for sensitive images.

What if no faces are detected?

The tool uses multiple detection strategies with low thresholds to find faces even in challenging conditions. If no faces are detected, try: using a clearer photo with better lighting, ensuring faces are visible (not covered by sunglasses/masks), using a front-facing angle rather than profile, or choosing a higher resolution image. The detector works best with clear, well-lit frontal faces.

Can I blur multiple faces at once?

Yes! The tool automatically detects ALL faces in an image and applies the anonymization effect to each one simultaneously. This is perfect for group photos, crowds, or any image with multiple people. All detected faces will be highlighted with blue boxes and numbered for your reference.

What image formats are supported?

The tool supports all common image formats including JPG, JPEG, PNG, WEBP, and more. You can upload from your device or load from a URL. The output is saved as PNG format to preserve quality. Images are automatically resized if too large to ensure smooth processing.

Does it work offline?

After the initial model download (about 5-10MB, happens automatically on first use), the tool works completely offline. Once loaded, you can disconnect from the internet and still use all features. This ensures privacy and allows use in areas with limited connectivity.

When should I use this tool?

Use this tool whenever you need to protect identity in photos: publishing photos of minors or witnesses, GDPR compliance for public websites, social media posts with strangers, protecting employee privacy in workplace photos, anonymizing research subjects, creating privacy-focused content, hiding identity for security reasons, and any scenario requiring face anonymization for legal or ethical reasons.