Surfface VS Codegres.org

Surfface's answer

Surfface is built to find people, not just images. It tracks where a face appears across the public web, uncovers connected social profiles on platforms like Instagram and TikTok, and uses extra signals such as names to refine and link results. It is more than a search engine: Surfface works as an OSINT orchestrator that leverages many other tools under the hood, including Google. This multi layer approach not only improves accuracy and compliance, it also helps detect and find stolen identities online, which in many cases helps people avoid scams.

Surfface's answer

Surfface is unique because it is built from the ground up as a people-focused search engine, not just another reverse image tool. It combines face matching with knowledge-based search, so you can find where a person’s photo appears online and uncover connected social profiles, mentions, and other public traces tied to that identity. Under the hood, Surfface runs image-led and knowledge-led searches in parallel, scanning public sources like Instagram, TikTok, and the wider web, then uses AI ranking to surface the most relevant matches first.

We index only publicly available data and are designed around compliance: where legally allowed we may use facial recognition, but otherwise rely on non-biometric methods such as general facial traits and open-source clues like names, usernames, emails, and locations. This blend of OSINT-style discovery, multi-lane search, and privacy-aware design makes Surfface both more powerful and more responsible than traditional image search tools.

Surfface's answer

Surfface is designed for people and teams who need to quickly understand who they are dealing with online and where a face appears across the public web. Its primary audience includes:

• Individuals who want to check where their own photos appear, spot catfishing, or see if someone is reusing their images or identity on platforms like Instagram and TikTok.

• OSINT practitioners, investigators, trust and safety teams, fraud and cybersecurity units, as well as HR and sales professionals who need a dedicated face and people search engine to verify individuals and gather deeper context so they can make more informed decisions.

Across these groups, the common thread is digital trust: verifying that profiles are real, detecting scams or impersonation, and protecting personal or organizational reputation using only publicly available information.