Face Search

Face Search tackles a specific problem that ordinary reverse image search cannot solve. Google Lens, Yandex Images and similar tools match pixels and near-duplicates, so they fail when the subject appears in a different outfit, a later year, or a crop that never existed online before. Face Search instead analyzes facial geometry — eyes, nose, mouth, jawline — to compare one face against images of the same person in entirely different photos.

The flow is deliberately simple. You upload a clear front-facing portrait, the system detects and embeds the face, queries a public-image index, and returns ranked candidate sources with similarity scores and context. A guest preview shows whether matches likely exist before you pay; full unlocked results, direct source links and social-platform coverage come after checkout. The site is explicit that its paid searches are executed through the FaceCheck.id index and that the product's own value is the upload experience, credit billing and results review.

Billing is credit-based rather than subscription-based. Packs are one-time purchases, credits never expire, and there is a 30-day money-back guarantee, so occasional users are not locked into a recurring charge. The team also publishes methodology and ethics pages, and repeatedly warns that a similarity score is a lead to investigate, not proof of identity.