Blufa is the simplest, most user-friendly privacy tool for iPhone. Its advanced facial recognition and intelligent algorithms let you blur all visible faces in any photo or video that can be displayed on your device. Blufa operates 100% locally, ensuring your data never leaves your device and functions even when offline. Compatible with all iPhone-supported photo and video formats, Blufa is the perfect tool for journalists in high-risk conflict zones where preserving the anonymity and identity of sources is critical.
Media recorded on third-party cameras and imported into the built-in Photos app via an SD card reader are also supported, enabling a wide range of fast and efficient workflows. Simplicity is paramount in Blufa; no photo or video editing experience is needed. Simply choose your input media and hit the button. It's that easy!
And best of all, Blufa is a one-time purchase completely subscription free!
FAQ
Why is full access to the Photos library required?
Full access to the Photos library is required to retrieve the processed media stored in the Photos app. When a photo or video is saved Blufa does not know the exact location in the library, so it needs to ask for full access to be able to retrieve the media saved. This is just how the Photos library works on iOS.
What photo and video formats are supported?
Blufa supports all video formats natively compatible with iPhone, including .mp4, .mov, and .m4v. Supported codecs are h.264, h.265 and ProRes including Apple Log and HDR on compatible devices. For photos Blufa supports .bmp, .heif, .jpg, .png, .tiff, and .webp, along with ProRaw on compatible devices.
Am I guaranteed to be anonymous with Blufa?
No! Anonymity is complex. While Blufa can blur faces, someone could still identify you if the footage is shot in an easily recognizable location, like in front of your house or living room.
Is Blufa guaranteed to perfectly blur all faces every time?
Blufa is generally precise and blurs most faces accurately. However, no algorithm is perfect. Always manually verify processed media to ensure sufficient blurring. Blufa offers no guarantees.
Can photos and videos be de-blurred?
Generally, no. However, advancements in machine learning pose potential risks. Adversarial attacks could generate close approximations of the original face, compromising identity. To mitigate this, Blufa includes filters that use none of the original pixels, making reverse-engineering impossible at the cost of aesthetic quality.