Di Tang

Di Tang, also known as Daniel Tang, is the founder and product builder of 221B Face Search, a public-web face search that returns pages where a similar face appears so people can open and check the original source. He is also the site's responsible editor: every guide on the blog is written or source-reviewed by him, and he is accountable for its material claims, safety boundaries and corrections. 221B Face Search operates under ABN 95 694 945 401.

His guides cover the situations people bring to a face search: checking whether a dating match or new contact is real, spotting fake Instagram and LinkedIn profiles, romance scams that use stolen photos, finding where your own photos appear and reporting impersonation, choosing between face search engines and free reverse image search, and doing public-source research responsibly.

He works from primary sources: platform help centres, official product documentation and pricing pages, consumer-protection agencies such as the FTC and Australia's eSafety Commissioner, and the 221B Face Search methodology. Each guide shows the date its sources were reviewed, discloses 221B Face Search's commercial interest when it compares products, and does not describe reading documentation as first-hand testing.

Two rules run through his writing. A face-search match is a lead to check, not proof of who someone is, and an empty result proves nothing either way. And searching should stay proportionate: answer the specific question, collect no more than you need, and stop. AI tools may help with structure and drafting, but he remains responsible for verifying sources and the published result. Readers can report an error through the corrections policy.

The 221B Face Search methodology page and the free saved sample report, both linked from the guides, are the reference points he uses to keep every article consistent with what the product actually searches, returns and cannot do.