Public-source review
Designing workflows that help people move from a candidate result to the original public page and its surrounding context.

Founder profile
Also known as Daniel Tang
Founder and Product Builder
Founder and product builder behind 221B Face Search, focused on public-source review, responsible OSINT, and online-safety workflows.
Designing workflows that help people move from a candidate result to the original public page and its surrounding context.
Keeping search scope, evidence quality, uncertainty, and manual verification visible throughout the research process.
Making catfish checks and photo-misuse review easier to understand without presenting a similarity signal as proof of identity.
Publishing responsibility
Di is responsible for the product and editorial direction of 221B Face Search. Guides are expected to distinguish public-source evidence from inference, explain product limits, and provide a clear route for reporting a correction.
Published work
Each guide names its sources, review date, practical limits, and correction route. Candidate pages and missing results remain inconclusive until the original public context is reviewed.
Compare face search alternatives for exact-image checks, open-web monitoring, broader image discovery, and verification-first candidate-page review.
Read the guide →A practical nine-step guide to checking if someone is real online through behavior, exact-image search, candidate public pages, source review, and an optional video call—without treating any clue as identity proof.
Read the guide →A safety-first guide to military romance scam photo checks, official claim verification, evidence preservation, and reporting without accusing the person pictured.
Read the guide →Worried someone is using your photos for a fake profile? A 2026 step-by-step guide to finding impersonation accounts with reverse face search, capturing evidence, and reporting them.
Read the guide →A practical guide to PimEyes alternatives in 2026, including 221B, Lenso.ai, and Google Lens for public-web face search and source review.
Read the guide →A practical 2026 comparison of PimEyes, Lenso.ai, Google Lens, and 221B for reverse face search, public-web source review, pricing, privacy, and dating safety checks.
Read the guide →Reverse image search finds copies or visually similar images. Public-web face search may surface candidate pages across different photos. Here is how to use each without claiming identity.
Read the guide →A practical 2026 guide to free vs paid face search tools: what free methods do well, where paid tools help more, and when 221B is worth the upgrade.
Read the guide →A safety-first workflow for checking a suspected catfish using behavior, exact-image search, candidate public pages, platform tools, and official reporting channels.
Read the guide →Learn how to find someone by photo safely using reverse image search, reverse face search, source-page review, and a verification-first workflow.
Read the guide →A safe 2026 tutorial for finding an Instagram account by photo using Google Lens, reverse face search, public clues, and source-page review.
Read the guide →A safe, practical 2026 workflow for finding social media accounts by photo with Google Lens, reverse face search, source-page review, and 221B.
Read the guide →A careful workflow for checking a suspicious LinkedIn profile using official company sources, message and link checks, and limited public-web evidence.
Read the guide →A bounded guide to using face search for authorized public-source review, with source verification, uncertainty labels, privacy safeguards, and clear prohibited uses.
Read the guide →For dating safety, exact-image search can locate copied photos while public-web face search may surface candidate pages across different photos. Neither verifies identity.
Read the guide →A Tinder photo can be checked in more than one way, but no search can certify a stranger. Use exact-image search, public-web face search, source review, platform tools, and first-date safety steps without turning one result into a verdict.
Read the guide →A careful, evidence-led workflow for checking whether a dating profile photo may be AI-generated without treating one visual clue, search result, or badge as proof.
Read the guide →