Scanon provides an AI‑powered redaction service that automatically detects and blurs faces, license plates, and tattoos in images and video while preserving full resolution. The platform processes media entirely in memory, discarding data after each operation and offering anonymous accounts to ensure zero data retention and compliance with privacy regulations. It delivers sub‑250 ms image processing, EXIF stripping, and encrypted video outputs via API and secure delivery channels.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations that need to share images or video often must obscure personally identifiable information such as faces, license plates, or tattoos. Conventional redaction tools either retain the media on servers, require user registration, or degrade image quality, creating privacy and compliance risks.
Solution
Scanon delivers an AI‑driven redaction service that automatically detects and blurs faces, license plates, and tattoos while preserving the original resolution of the media. The platform runs the entire detection and masking pipeline in memory, discarding all data immediately after processing to guarantee zero retention. Users create fully anonymous accounts—no email or personal identifiers are stored—so the workflow complies with strict privacy regulations. Image processing completes in under 250 ms, providing an instant preview, and the service strips EXIF metadata to eliminate hidden data leaks. For video assets, Scanon processes frames asynchronously on paid plans, delivering redacted video files through a secure delivery channel. All outputs retain full visual fidelity, enabling downstream publishing without additional re‑encoding.
Target Audience
Primary users are privacy‑sensitive content producers—such as journalists, legal teams, law‑enforcement agencies, and SaaS platforms—that need fast, compliant redaction of images and video at scale.
Features
- Convolutional neural‑network models tuned for high‑precision detection of faces, license plates, and tattoos
- In‑memory processing pipeline with automatic data purge to ensure zero storage of user media
- Anonymous account system that requires only a secure ID and password, eliminating email collection
- Sub‑250 ms latency per image and real‑time preview of redaction results
- Full‑resolution output with automatic EXIF metadata removal to prevent inadvertent data exposure
- Frame‑by‑frame video redaction engine with asynchronous job handling and encrypted delivery for paid tiers
- API endpoints for programmatic submission and retrieval of redacted assets, supporting integration into existing workflows