privacy▌

Quality assurance for AI-blurred videos — detect mask bleeding, temporal flicker, missed detections, edge halos, and motion-tracking failures. Use when user mentions blur quality, QA review, mask artifacts, flickering blur, missed faces, plate tracking failure, blur edge halo, or validating BGBlur output before delivery.

Pre-process videos with FFmpeg before blur pipelines — format conversion, trimming, resolution normalization, metadata stripping, and frame-rate standardization. Use when user mentions ffmpeg, video conversion, trim video, normalize format, strip metadata, prepare video for upload, MP4/MOV/MKV conversion, or pre-processing before BGBlur.

Integrate BGBlur blur APIs into apps and pipelines — face blur, license plate blur, NSFW detection for images and video. Covers REST API patterns, batch processing, webhook delivery, and SDK usage. Use when user mentions BGBlur API, blur API integration, face blur API, license plate API, video blur SDK, embed blur in app, or programmatic blur processing.

Comprehensive guide to privacy-first app design. Apple Design Award Social Impact winners handle data ethically, and privacy-first design is a key differentiator.

Comprehensive guidance for implementing data privacy compliance across GDPR, CCPA, HIPAA, and other global data protection regulations.