PrivateFace vs Hidden Face

Share photos and videos without compromising anyone's privacy. PrivateFace automatically detects faces and lets you cover them with fun emojis in just a few taps. PERFECT FOR: - Parents protecting children's identity online - Content creators respecting bystanders' privacy - Professionals sharing work moments - Anyone who values privacy on social media WHY PRIVATEFACE? Instant Face Detection Our advanced AI finds every face in your photos and videos automatically. No manual selection needed. Fun Emoji Covers Choose from dozens of expressive emojis to match the mood. Make privacy protection fun and creative. Video Support Works seamlessly with videos too. Faces stay covered throughout the entire clip with smart tracking. 100% Private & Offline Everything happens on your device. Your photos and videos are never uploaded anywhere. Lightning Fast Powered by Apple's neural engine for instant processing. Export your protected media in seconds. HOW IT WORKS: 1. Select a photo or video from your library 2. PrivateFace detects all faces automatically 3. Tap a face and choose an emoji 4. Save or share directly to your favorite apps Whether you're a parent, creator, or privacy-conscious individual, PrivateFace gives you complete control over who appears in your shared content. Download now and share with confidence. Terms of Use (EULA): https://www.apple.com/legal/internet-services/itunes/dev/stdeula/

Protect your privacy before you post. This app helps you reduce facial recognition risks in photos and videos using advanced visual filters designed to disrupt AI-based detection systems — while keeping your content natural and shareable. The app’s algorithm automatically detects all faces in a photo or video, and filters are applied to every detected face at once. You don’t need to select faces manually. You can process both images and videos (maximum video length: 3 minutes) and apply adjustable filters with intensity sliders for full control over the final result. For stronger protection, combining multiple filters at the same time is recommended. Layered effects often provide better masking performance than using a single filter alone. FILTERS AI Scramble Adds controlled facial noise that interferes with recognition algorithms without changing face geometry. – Subtle grain effect – Adjustable intensity – Keeps natural proportions Spectrum Shift Modifies color characteristics such as contrast, exposure, and saturation inside the facial area. – Alters color signature – No geometry distortion – Natural look at lower levels Pixel Guard Applies structured pixel displacement to break spatial consistency between facial features. – Disrupts feature alignment – Noticeable but effective – Designed against neural analysis Smart Blur (T-Zone Mask) Masks the most recognizable facial area (eyes and nose zone) while leaving the rest of the face more natural. – Focused masking – Less aggressive than full blur – Suitable for social media Global Shield Adds digital adversarial noise across the entire image, affecting how AI systems interpret textures and patterns. – Works on full photo – Subtle visual impact – AI-focused disruption Face Warp Introduces geometric micro-distortions that alter facial structure perception for machine vision systems. – Geometry modification – Still recognizable to humans – Strong defensive effect REAL-TIME MATCH ANALYZER The built-in analyzer shows how similar the processed face remains compared to the original image. It displays a Match % value so you can evaluate the transformation strength before exporting. In most cases, reducing similarity by 60–70% already provides a strong level of protection. It is not necessary to push filters to extreme levels. Balanced masking often delivers better results while maintaining a natural look. IMPORTANT NOTE AI and facial recognition technologies constantly evolve. This app is designed to reduce recognition probability, but it does not guarantee 100% protection from all current or future systems. Use responsibly and adjust intensity according to your needs. PERFORMANCE DISCLAIMER Filter performance and analyzer results may vary depending on image and video conditions. Factors that can influence effectiveness include: Original image quality and resolution Lighting conditions (low light, strong backlight, shadows) Camera focus and motion blur Distance between the face and the camera Face angle and partial occlusions Lower-quality or poorly lit images may reduce both detection accuracy and filter precision.