Simple Censor vs DeFace Privacy

Redact faces and personal information before you share—without a complicated editor. Open a photo in Simple Censor or start directly from the iOS share sheet. Detected faces receive a pixel mosaic automatically. Brush over names, addresses, account numbers, or any other sensitive detail, then save at the original resolution or share immediately. WHY SIMPLE CENSOR • Direct from the share sheet — edit one photo without opening the app first • Automatic face redaction — detected faces are mosaicked when the photo opens • Manual privacy brush — cover text, screens, documents, and identifying details • Three censor styles — blur, pixel mosaic, or solid black fill • Face or eye coverage — switch between full-face masks and classic eye bars • Brush and eraser — refine exactly what stays visible • Undo and redo — correct edits without starting over • Original-resolution output — keep the photo's original pixel dimensions • No subscription or watermark PRIVATE BY DESIGN Face detection and editing run on your device. Simple Censor does not upload your photos for processing. HOW IT WORKS 1. Pick a photo in the app, or choose Simple Censor from another app's share sheet. 2. Review the automatic face mosaic and brush over anything else. 3. Save to Photos or share immediately. Simple Censor is made for quick redaction before social posts, messages, listings, school documents, and screenshots.

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.