Anonymize images that blur can't protect
Blurring faces and plates feels safe but isn't — ML deblurring can reverse it. Peelaway replaces identifiable data with natural-looking content that contains zero recoverable information. Built for the scale that compliance demands.
Beyond blur
Every type of identifiable information in images — detected, removed, and replaced with content that can't be reversed.
Face anonymization
Detect and remove identifiable faces from images — street photography, security footage stills, crowd shots. The AI reconstructs the scene naturally without leaving obvious blurred patches.
License plate removal
Vehicle plates in street-level imagery, dashcam stills, and property photos. Removed and replaced with natural-looking surfaces — not crude pixelation.
Personal information redaction
Visible addresses, phone numbers, email addresses, and account numbers in document photos and screenshots. Removed completely from the image data.
Screen content sanitization
Monitors and screens visible in photos showing private data, login sessions, or internal dashboards. The displayed content is replaced naturally.
Name & badge removal
Name badges, ID cards, and visible identification in event, workplace, and security photos. Removed while preserving the person and clothing.
Batch anonymization via API
Process thousands of images programmatically. The API scales horizontally — submit images in parallel, poll for completion, download results. Costs nothing when idle.
Blur is a liability. Removal is compliance.
Pixelation and Gaussian blur were the standard for decades. Then ML deblurring showed they're reversible. A blurred face is a hidden face, not an anonymized face — and regulators increasingly understand the difference.
Peelaway uses instruction-based image editing to replace identifiable content with entirely new, context-appropriate pixel data. The original face, plate, or text doesn't exist in the output file. That's not masking — that's actual anonymization.
Blur and pixelation can be reversed with ML deblurring. Peelaway replaces the original pixels entirely — the data doesn't exist in the output file.
No crude black rectangles or obvious pixelation that says 'something was redacted here.' The edited areas blend seamlessly with the scene.
GDPR, CCPA, and privacy regulations affect millions of images. The serverless API handles 10 images or 10,000 — same integration, automatic scaling.
Images are processed and results are available for download. No permanent storage of input images or personal data on Peelaway's infrastructure.