Broad public-web reach
PimEyes indexes faces from across the open web, so it can surface appearances on sites well beyond social networks.
Sherlock vs PimEyes is two photo searches built for different jobs. PimEyes is a general facial-recognition engine that scans the broad public web. Sherlock is purpose-built for dating safety and catfish checks, focusing on social platforms and public records, scoring each match, and deleting your photo afterward.
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A subscription facial-recognition search engine that finds where a face appears across the public web.
PimEyes is a facial-recognition search engine. You upload a photo and it returns other places on the public web where a visually similar face appears, with a paid subscription required to see source links. It is a powerful, general-purpose face search rather than a dating-safety product.
PimEyes indexes faces from across the open web, so it can surface appearances on sites well beyond social networks.
Its core facial-recognition engine is capable and well known for finding visually similar faces.
Choose PimEyes for the widest possible sweep of the open web. Choose Sherlock when your real question is 'is this person who they say they are' — you want social-platform coverage, confidence scores, a native iOS app, and your photo deleted after the search.
Yes. PimEyes is a real, established facial-recognition search engine that finds where a face appears on the public web. It is a paid subscription service and a general-purpose tool rather than a dedicated verification product.
PimEyes scans the broad public web for similar faces. Sherlock is built for verifying a person — it focuses on social platforms and public records, returns confidence-scored and source-linked matches in a native iOS app, and deletes your photo after the search.
Yes. Sherlock is a face-search tool focused on dating safety and catfish checks, with scored matches, private results, and delete-after-use photo handling.
A real search every time, scored matches, and your photo deleted afterward — here's where the two differ.
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