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 spent over a decade building facial recognition before we started getting people out of it.
Object and face detection with YOLO, OpenCV, dlib, MTCNN and face_recognition, and custom pipelines on TensorFlow and the machine learning models that came before it. The tools that power real-world tracking and identification, built from the inside.
That is the part that matters here. We know how a face gets detected, turned into a measurement, matched against others, and stored, because we have built each of those steps. Getting a face out of a system is a great deal easier when you already know what that system is doing with it.
We track who is building the next model, database or service, and adapt as new ones appear. The field does not stand still, and neither does the work of keeping you out of it.
Our process for removing facial biometric data from facial recognition databases is patent pending. We’re always focused on how we can improve our processes while staying future-forward.
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.
Get in touch
Questions about a removal, your subscription, or anything else — email us and a real person will answer.
