Facehunch

Facehunch is a workspace for investigating where a photograph may have appeared and what the evidence actually supports. You start with an authorised image, collect candidate source pages, and examine captions and nearby text before deciding what a match means.

The site includes plain-language guides that separate reverse image search—which finds copies and variants—from facial-similarity checks, which answer a different question. It stresses that a thumbnail or visual match alone isn’t proof; publication context and the original page matter.

There are a few distinct areas to work in: the main workspace, a fictional example for practice, and a restricted API test. Facehunch keeps uncertainty visible while you review results and notes that visual similarity does not verify identity. It also does not provide access to private profiles or formal background checks.

• Guided workflows for image-source research
• Tools to inspect captions, publication context and original pages
• Practice example and restricted API test for experimentation
• Clear warnings about permissions, uncertainty and limits of visual matches