Why Facehunch exists
A grid of similar images can feel more conclusive than it is. Facehunch puts the source page, the search method and the limits of the result back into the conversation. The goal is a workflow you can understand, from choosing a file to reviewing what a page actually supports.
What is available today
The main workspace offers consented face searches using prepaid search credits. It returns source links and similarity scores and saves reports to your account for review. The separate example workspace includes a fictional report and a restricted FaceCheck API test. Neither real searches nor examples provide verified identities or complete web coverage.
The public guide library explains image reuse, search methods, online-profile concerns and privacy. We do not claim proprietary search coverage, independent accuracy benchmarks or formal background-screening capability.
How we write
We prioritise direct answers, specific limitations and links to relevant primary documentation. Read our editorial policy for the approach to sources and updates. Start with the guide library or open the workspace to explore.