Video anonymization by face detection

This repository allows you to anonymize sensitive information in images/videos. The solution is fully compatible with the DL-based training/inference solutions that we already published/will publish for Object Detection and Semantic Segmentation.

Official implementation of the paper "Now You See Me, Now You Don’t: A Unified Framework for Expression-Consistent Video Anonymization."

Free, offline, drag-and-drop face blur for videos on Windows + macOS. Automatically detects and blurs faces in MP4/MOV/MKV/AVI. 100% local — no upload, no cloud, no watermark. Pro/cloud version: https://freefaceblur.com

Automatically blur background faces in images and videos using Florence-2 + SAM2. Smart speaker detection preserves main subjects while anonymizing bystanders.

Stores here is a very simple and brief Python commandline tool for blurring human faces inside a video. Install via pip install blurface

Face Anonymizer is a program that blurs your face and changes your voice in real time.

CLI & web tool for automatic person anonymization in surveillance videos. Multi-scale YOLO v8 detection with ByteTrack tracking, temporal smoothing, auto-refinement passes, and interactive review. Supports pixelation/blur, fish-eye correction, and adaptive intensity. Full test suite, CI pipeline.