What is Face Blurring?
Face blurring automatically detects all faces in an image and obscures them through pixelation or Gaussian blur. This is particularly important for privacy: in many jurisdictions, publishing photos of people without their consent can have legal consequences.
Formidex uses MediaPipe Face Detection, a lightweight AI model by Google that runs directly in your browser. It reliably detects faces from various angles and under different lighting conditions.
You can choose between pixelation and blur. Pixelation creates the classic mosaic effect you see in news broadcasts. Blur appears more subtle and natural while offering the same level of privacy protection.
How does Face Blurring work?
The MediaPipe model scans the entire image and identifies faces based on typical features like eyes, nose, and mouth. A bounding box is calculated for each detected face. The chosen effect is then applied within that box.
The effect strength is adjustable via a slider. For pixelation, the value determines block size: larger blocks make faces less recognizable. For blur, the slider controls the Gaussian blur radius.
Tips for best results
Make sure faces in the image are large enough. Very small faces in the background may not be detected. For group photos with many people, it is worth checking the result carefully.
Choose a sufficiently high effect strength. Weak pixelation can partially be reversed with modern software. A block size of at least 10 pixels is recommended.
The feature is especially useful for street photography and real estate photos. You can publish your shots without worrying about the rights of depicted individuals.
Common use cases
Street photography and event photos: when shooting in public spaces, you can obscure all bystander faces while preserving the scene's atmosphere. This keeps you compliant with privacy regulations.
Real estate photos and cityscapes: agents and photographers must protect bystander privacy in exterior shots. Automatic face detection saves significant manual work.
Documentation and reporting: in reports, presentations, or on websites, identities often need protection. Anonymization is essential in sensitive areas like healthcare, education, or social work.