FaceSearch

FaceSearch is a reverse face search engine that takes one photo containing a face and returns the places online where a matching face appears, including social and dating profiles and public web pages. It emphasizes that there is no text-query search and that the match is based on facial recognition rather than names, emails, or other identifiers. The service presents itself as a tool to verify profiles and locate where a person’s image shows up online, with safeguards described in its policies.

The tool turns uploaded faces into numeric descriptors called embeddings and compares them against an index built from publicly reachable pages. The closest matches are returned with similarity scores, and results come with source links. It explains that matches are not identity proofs and that it does not search private accounts or restricted data. The description stresses privacy and the calculation method behind matching.

FaceSearch provides a cost per search of 3 credits, with new accounts starting with 3 free credits. It describes how the system uses credits and how results are presented, including confidence scores and source links. It notes that stored data handling focuses on privacy, deletion timelines, and user account history that can be cleared.

It also notes that face descriptors are not retained after deletion and are not used to train a model. It points to support and legal compliance considerations and access through app stores and GitHub for related tooling.

Use cases

• Background checks for professional verification