About FacePrivacy
We build the expertise that finds your face, so we can help you take it back.
Hi. Thanks for being here.
FacePrivacy exists for one reason. My face was in these databases too.
I spent over a decade building facial recognition. The models that turn a photograph into something searchable. Then I searched for my own face and found photos I had never seen, on pages I had never visited. And I had no idea. And I felt uneasy, unsafe, and like I was being watched.
Getting my own photos out took months of opt-out forms, ID checks, and follow-ups. Most people will never do that. So we turned it into a service: we file the requests, we log the confirmations, and when an engine re-scrapes your face, we file again.
You can watch it happen from your dashboard. Every request, every reply, on the record.
I want the world to feel safer and more secure. To live a life of freedom and peace.
Privacy is important. Everyone should be able to have the option to opt out.
Your face is yours. Keep it.
Over a decade in facial recognition
We've been building and working on facial recognition technology for over a decade, with TensorFlow, earlier machine learning and AI models, and the tools that power real-world tracking and identification.
Our stack has included object and face detection frameworks such as YOLO, OpenCV, dlib, MTCNN, and face_recognition, as well as custom pipelines on TensorFlow and other frameworks. We understand how faces are detected, matched, and stored across systems.
We're constantly keeping up to date with who builds the next model, database, or service, so we can stay one step ahead and uphold users' privacy. When new players or technologies emerge, we adapt our processes to help you remain as private as you want to be.
Our mission
To help the world regain its safety, security, and privacy. We understand that some people like to be private, and in a world of facial recognition and public databases, that choice should be respected. We aim to give people tools and options to reduce their exposure and protect their face data where the law and industry allow.
Privacy and your face around the world
Many of the world's largest countries have laws that touch on biometric data, public recording, or use of face data in databases. Below is a snapshot of some main jurisdictions by population and influence, and how they approach face and privacy.
BIPA (Illinois), CCPA and state laws regulate biometric and facial data; consent and disclosure often required for collection and retention.
GDPR treats biometric data as a special category; strict limits on processing, storage, and cross-border transfer.
DPDPA 2023 classifies biometric data as sensitive personal data; consent and purpose limitation apply.
PIPL regulates personal information including biometric data; consent and necessity required for collection and use.
LGPD treats biometric data as sensitive; consent and lawful basis required; applies to public and private databases.
APPI and guidelines cover biometric data; consent and disclosure required for collection and use.
UK GDPR and DPA 2018 protect biometric data; consent or another lawful basis required for processing.
PIPEDA and provincial laws govern biometric and personal data; consent and reasonable purposes required.
Privacy Act and OAIC guidance address biometric data; consent and notification obligations for collection.
PIPA and related laws strictly regulate biometric and facial data collection and use.