
A collaborative internet human encyclopedia.
In a world where faces are everywhere, but trust is rare, verifying someone’s identity online has never been harder — especially in Web3. Whether it’s anonymous founders, fake KOLs, or AI-generated avatars, it’s easy to get fooled.
That’s where Humapedia comes in.
Humapedia is a facial recognition tool that helps you identify people by uploading a screenshot or image. Within just 10 seconds, it searches for public profiles that match the face in your photo — so you can quickly figure out who’s real and who’s not.
Try it now → https://humapedia.org
Think of it like a search engine for faces, built for online communities where trust matters.
It’s fast, lightweight, and privacy-conscious. It only returns public-facing identities — no doxxing, no creepy data scraping.
Upload a screenshot, avatar, or any image with a human face
Humapedia scans public profiles and compares facial features
If a match is found, it returns the corresponding social identity (e.g., Twitter, Instagram, Tik Tok)
The tool respects privacy — only public data is included, no private leaks
Here are just a few real-world moments where Humapedia can help:
Spot fake KOLs or scammers using stolen avatars in Telegram or Twitter DMs.
Verify the founder of a new Web3 project before deciding whether to invest or collaborate.
Double-check your Tinder or Telegram date before meeting up in real life.
Investigate a new Twitter Space speaker who suddenly claims to be a “top VC”.
Catch impersonation accounts that reuse well-known crypto personalities’ faces.
Avoid catfish and romance scams, where someone’s face might be borrowed from elsewhere.
Quick due diligence on freelancers, mods, and DAO contributors.
These aren’t edge cases — they happen every day. Especially in crypto, where reputation is everything and fakes are cheap to create.
Humapedia is currently in early testing, but it’s already proving useful across Web3 communities, dating apps, freelance platforms, and social networks.
Web3 investors & founders
KOLs and influencer managers
Airdrop participants & Sybil hunters
DAO members & moderators
Journalists, due diligence teams, and curious users
If you’ve ever asked “Is this person real?” — Humapedia might have your answer.
In an internet full of fakes, Humapedia gives you something rare: a fast, lightweight signal of authenticity.

Try it now → https://humapedia.org
Twitter : https://x.com/humapedia_org
Telegram : https://t.me/humapedia/
10 seconds. One photo. Real answers.

In a world where faces are everywhere, but trust is rare, verifying someone’s identity online has never been harder — especially in Web3. Whether it’s anonymous founders, fake KOLs, or AI-generated avatars, it’s easy to get fooled.
That’s where Humapedia comes in.
Humapedia is a facial recognition tool that helps you identify people by uploading a screenshot or image. Within just 10 seconds, it searches for public profiles that match the face in your photo — so you can quickly figure out who’s real and who’s not.
Try it now → https://humapedia.org
Think of it like a search engine for faces, built for online communities where trust matters.
It’s fast, lightweight, and privacy-conscious. It only returns public-facing identities — no doxxing, no creepy data scraping.
Upload a screenshot, avatar, or any image with a human face
Humapedia scans public profiles and compares facial features
If a match is found, it returns the corresponding social identity (e.g., Twitter, Instagram, Tik Tok)
The tool respects privacy — only public data is included, no private leaks
Here are just a few real-world moments where Humapedia can help:
Spot fake KOLs or scammers using stolen avatars in Telegram or Twitter DMs.
Verify the founder of a new Web3 project before deciding whether to invest or collaborate.
Double-check your Tinder or Telegram date before meeting up in real life.
Investigate a new Twitter Space speaker who suddenly claims to be a “top VC”.
Catch impersonation accounts that reuse well-known crypto personalities’ faces.
Avoid catfish and romance scams, where someone’s face might be borrowed from elsewhere.
Quick due diligence on freelancers, mods, and DAO contributors.
These aren’t edge cases — they happen every day. Especially in crypto, where reputation is everything and fakes are cheap to create.
Humapedia is currently in early testing, but it’s already proving useful across Web3 communities, dating apps, freelance platforms, and social networks.
Web3 investors & founders
KOLs and influencer managers
Airdrop participants & Sybil hunters
DAO members & moderators
Journalists, due diligence teams, and curious users
If you’ve ever asked “Is this person real?” — Humapedia might have your answer.
In an internet full of fakes, Humapedia gives you something rare: a fast, lightweight signal of authenticity.

Try it now → https://humapedia.org
Twitter : https://x.com/humapedia_org
Telegram : https://t.me/humapedia/
10 seconds. One photo. Real answers.
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