Sherlock Search

Sherlock Search is a web-based reverse face search tool. Upload one photo, pay a one-time fee without an account, and review possible matches with confidence labels and links to the public pages where each face appears.

Sherlock Search is a reverse face search service for people who want to learn where a particular face shows up on the public web. The workflow starts with a single photo: a clear JPG, PNG or WebP up to 10 MB, chosen from disk, dropped, pasted or taken with a camera. The service submits that image to a reverse-image search provider and returns possible visual matches tied to public pages, so each result can be traced back to the place it was published. The report is organized around context rather than a bare score. Each possible match carries a confidence band (Strong, Likely or Unlikely) and a direct link to the page behind it, where the account, date, caption and surrounding text can be inspected. The site repeatedly stresses that similarity is a lead and not proof of identity, and its guidance tells users to compare names, dates, locations and independent evidence before concluding anything. Photo quality matters, with a front-facing image showing one unobstructed face giving the comparison the most stable detail. In practice the process has three stages. The uploaded photo is prepared and checked for readiness on the device, then access is unlocked through a one-time search pack paid via Stripe Checkout, with no account and no recurring subscription. The real comparison runs only after payment is verified and the final photo is confirmed, consuming one credit. A private guest wallet in the browser remembers the purchase reference and remaining balance, and search media is kept for up to 24 hours. The site frames three uses: checking whether a profile photo appears under a different name, investigating possible impersonation by tracing reposts, and auditing one's own public footprint to find forgotten copies. Compared with general image search engines, it narrows the job to faces and packages results into a review report, while dedicated guides cover each scenario. Coverage depends on public indexing, so a zero-match result does not show a face is absent from the web. The lack of accounts suits occasional users, though heavy or professional monitoring needs may find a pay-per-pack model limiting.