Video Face Blur Tool

The tool processes video to redact individuals by applying blur to detected facial regions. It accepts a video file, a blur strength, and a blur method, producing a privacy-protected version suitable for public distribution. Face detection runs on each frame, with optional tracking to preserve identity continuity across frames. It can preserve audio, timestamps, and overall video timing, ensuring a seamless viewing experience.
Conceptually, the workflow loads frames, identifies faces, groups detections into tracks, and applies either gaussian blur or mosaic blocks to the facial regions. Blur parameters scale with user input: stronger blur increases both blur_radius and pixelation level; weaker blur creates a subtler masking. Optional ROI allows focusing blur on specific face regions or excluding others.
Audience and use cases include video journalists redacting bylines, educators preparing classroom material, content creators publishing youth footage, and enterprise teams sharing event footage where consent is required. The tool is designed to meet privacy expectations and common regulatory guidance by avoiding identity disclosure while maintaining video usefulness. It supports batch processing for multiple clips and common encodings.
Key differentiators include automated, frame-to-frame face tracking to prevent flicker, multiple blur modes, adjustable strength, and lossless audio preservation. Outputs are standard video formats with embedded metadata describing blur application and detected-face counts. It is suitable for on-demand processing and can integrate into existing media pipelines for compliant content production.