Blur Faces vs DeFace Privacy

Protect your privacy and your loved ones before sharing photos and videos on social media. HiddenFace uses AI to automatically detect faces in your photos and videos, letting you blur, pixelate, or cover them with emojis before posting online. NEW IN v2.0: • Video face tracking — detect and cover faces across entire videos • Bulk photo processing — process multiple photos at once • Camera capture — take a photo and blur faces instantly • Timeline editing — trim, split, and keyframe video segments • Undo/redo — multi-level undo in photo and video editors KEY FEATURES: • AI-powered face detection for photos and video (YOLOv8, on-device) • Multiple cover options: blur, pixelate, emoji, solid color • Manual area placement for custom coverage • Multi-track timeline with pinch-to-zoom • Face clustering across bulk imports • 100% on-device processing • Your photos and videos never leave your device WORKS WHERE YOU ARE: • In Photos, tap Share → "Cover faces with HiddenFace" and the photo opens ready to cover • Use the Shortcuts app to cover every face in a photo automatically, without opening HiddenFace WHY USE HIDDENFACE? Facial recognition companies scrape billions of photos from social media. Unlike passwords, your facial data cannot be changed once leaked. Protect yourself and your family. EASY TO USE: • Tap faces to toggle cover on/off • Long press to change cover type • Add custom areas manually • Pinch to zoom the video timeline PRIVACY FIRST: All processing happens on your device. We never see, store, or upload your photos or videos. Terms of Use (EULA): https://www.apple.com/legal/internet-services/itunes/dev/stdeula/

DeFace Privacy lets you anonymize faces (and any other sensitive area) in a photo with a single tap — fully on your device. No upload, no account, no tracking. The app works offline. Highlights • Automatic face detection runs locally with YuNet (no internet required). • Refine with a soft pixelation brush: adjust block size, hardness, and the optional "secure scramble" that locally reshuffles tiles to defeat naive un-pixelation matching. • Editing happens at high resolution, the exported JPEG re-decodes the original at full quality. • Save back to Photos through the system share sheet, or send anywhere else. • Truly private by design — the image bytes never leave your iPhone. • Open source under the MIT License. The bundled face-detection model (YuNet, OpenCV Zoo) is also MIT.