Searching Social Media By Face Instead Of Name? Here's What Face2Social Is Really Doing

"Searching for someone online used to be simple. You typed a name, maybe a username, and hoped the person hadn't changed it three times or locked their profile behind privacy settings. That system worked when the internet was smaller, and identities were stable. That's no longer the case. Today, people move across platforms, rebrand themselves, or avoid using their real names altogether. Here's the thing: faces don't change as easily as usernames do."

"This is where traditional social discovery starts to fail. You might know exactly what someone looks like, yet have no reliable way to find them online. Text-based search tools don't help much when profiles are private or when the person uses a completely unrelated handle. What this really means is that the old search model assumes identity is tied to text, when in reality it's visual."

Usernames and names are unstable, changeable, and often unrelated to real identity, making text-based searches unreliable. People frequently move across platforms, rebrand, or avoid real names, while faces remain relatively consistent. Face2Social searches very large volumes of publicly available images on Instagram, TikTok, X, and Facebook to surface matching profiles. The platform treats faces as primary identifiers and is designed for evaluation and comparison across networks. The approach bypasses weaknesses of text-dependent discovery, offering a practical response to current social media behaviors when handles are inconsistent or profiles use privacy settings.

Read at Benzinga