Hide faces in your pictures

Anonymizing people in photos automatically

Face hiding automatically detects every face in an image and applies a concealment effect — blur, pixelation, or a solid mask — to each one. This anonymizes people without requiring you to manually identify and cover each face, which is especially valuable when processing batches of photos containing many individuals.

Privacy regulations like GDPR in Europe and CCPA in California require consent before publishing identifiable photos of individuals. When consent is impractical (street photography, event coverage, security footage review), anonymizing faces is the standard compliance approach. Automated detection makes this feasible even for large photo sets.

The tool offers three concealment modes: blur creates a soft, natural-looking anonymization suitable for editorial and artistic contexts. Pixelation provides stronger protection that is harder to reverse-engineer. Solid masks completely replace the face area with a colored rectangle for maximum certainty that no facial features remain visible.

Batch processing is where this tool provides the most value. Instead of opening each photo individually, drawing rectangles over faces, and exporting one by one, you can drop an entire folder and let the detector handle every face across all images in a single pass. The results download as a ZIP with all faces hidden.

Common use cases

• Street photography publication: Anonymize bystanders in street photos before publishing to photography portfolios, blogs, or social media to respect privacy without ruining the composition.
• GDPR compliance for businesses: Process customer-facing photos, security camera stills, or event documentation to remove identifiable faces before storing or sharing under European privacy regulations.
• Real estate listing photos: Blur faces of people visible in property photos (neighbors, passersby) before publishing listings on real estate platforms.
• Educational and training materials: Anonymize students, patients, or participants in photos used for training materials, case studies, or research publications where consent was not obtained for publication.

Technical details

Detection method

Uses the browser FaceDetector API for automatic detection. Falls back to manual rectangle drawing in unsupported browsers. Detection runs entirely on-device.

Blur mode

Applies a strong Gaussian blur (radius 20-40px) to each detected face region. The blur is heavy enough to prevent identification while maintaining a natural photographic look.

Pixelation mode

Replaces each face region with large color blocks (8-32px). This is more secure than blur because pixelated faces cannot be reconstructed through deblurring algorithms.

Solid mask mode

Fills each face region with a solid color rectangle. This provides absolute certainty that no facial features remain, suitable for legal and compliance contexts.

How to hide faces in photos online

Automatically blur or pixelate every face in one or many photos.

1. Drop one or more photos into the face hider.
2. Choose blur, pixelation, or solid mask mode.
3. Adjust the strength and coverage of the effect.
4. Download the anonymized images or a ZIP for the batch.

Frequently asked questions