Face Finder is a reverse face search tool for people search and identity checks from a single photo. It is described as a way to search anyone by photo and to review source-linked visual matches for careful people-search research. The service also describes a public-source investigation mode and a private intake mode.
A search begins with one clear, front-facing image that can be chosen, dropped, or pasted. The workflow then runs a reverse face search across images connected to public web pages and returns results in confidence order. The report is presented as evidence rather than a hidden ranking, with the highest-confidence match first, and every returned match remains visible instead of being filtered out. Each result includes a direct source link so the public page connected to the image can be opened and checked.
The process is described as deliberately simple: prepare the image first, cross the paid boundary once, then review a complete evidence report. The page says a search uses one credit, that the provider returns the credit automatically if a search is rejected or times out, and that image retention is 24 hours. It also states that the photo can be prepared before creating an account.
Face Finder is delivered on the web. The page names pricing and FAQ sections and marks the search as paid.
In the Computer vision, OCR & document AI space, Face Finder takes a focused approach. It focuses on identifying individuals by searching for matching faces across public web images using a single uploaded photo. It is built as a B2B product for investigators and researchers needing to verify identities or find people online. Pricing is paid, from $1. Face Finder is available on the web.
Face Finder first shipped in 2024. Key capabilities include reverse face search, photo upload, and confidence scoring.
Summary written by a language model from the project’s public pages.
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