IN THE FIELD GUIDE

visagedb

visagedb.com

VisageDB is a reverse face search engine that indexes over 13 million faces from publicly accessible web sources. It finds the closest visual face matches by comparing facial features without confirming identities.

THE PRODUCT, BEYOND THE PITCH

Automatically researched · Not editorially reviewed · Sources checked Sep 15, 2026

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A good fit for

Not confirmed yet.

Know the limitations

Does not confirm anyone's identity from the visual matches found.
Query photos and IP addresses are discarded after 24 hours unless the search is saved.

What you can do

Searching for a person by photo using visual face matching across public web sources.

Features

Indexes faces from publicly accessible webpages without accessing private accounts or building named identity profiles.
Converts detected faces into facial embeddings to rank closest visual matches.
Displays strongest visual matches with links to the webpages hosting them.

Integrations

Indexes faces from multiple public sites including Wikimedia, Flickr, Reddit, IMDb, Medium, SoundCloud, FBI Most Wanted, EU Most Wanted, and various adult content platforms.

Platforms & data export

Not confirmed yet.

THE COST FOR YOUR TEAM

Go beyond the starting price.

Published plan prices for your team size and usage. Results update as you type. Taxes, currency conversion and unlisted add-ons are excluded, and anything the source did not state is called out rather than guessed.

PeopleBillingCurrencyPrices are shown as published. No exchange rates are applied.Monthly usage per toolApplies to each tool’s own unit. Leave at 0 for subscription cost only.

Known monthly subtotal

$0.00/month

1 of 1 tools could not be priced with these inputs, so this is not the full cost.

Plan costs based on your requirements
Tool / plan	Monthly	Per year	What this assumes
visagedb	No pricing recorded yet. Check the official site, or ask the owner to add it.

A practical workflow

User uploads a photo and the browser detects faces in it; user selects which face to search.
The software converts the selected face into a facial embedding and ranks closest matches.
The user receives the strongest visual matches with links to the hosting webpages.

Based on the sources below. Editorial review does not imply hands-on product testing.

Alternatives to explore

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What changed

1 recorded change · latest 9/15/2026

Changes to the facts recorded here, not a live scan of every vendor update. Save this tool to follow updates in your account.

9/15/2026
Updated: features, integrations, summary, use cases, walkthrough
See recorded changes
features
Before: ["Indexes faces from publicly accessible webpages only, excluding private accounts.","Converts detected faces into facial embeddings to rank closest visual matches.","Displays strongest visual matches with links to the hosting webpages."]
After: ["Indexes faces from publicly accessible webpages without accessing private accounts or building named identity profiles.","Converts detected faces into facial embeddings to rank closest visual matches.","Displays strongest visual matches with links to the webpages hosting them."]
integrations
Before: ["Indexes faces from multiple public sites including Wikimedia, Flickr, Reddit, IMDb, FBI Most Wanted, EU Most Wanted, and various adult content platforms."]
After: ["Indexes faces from multiple public sites including Wikimedia, Flickr, Reddit, IMDb, Medium, SoundCloud, FBI Most Wanted, EU Most Wanted, and various adult content platforms."]
summary
Before: "VisageDB is a reverse face search engine that indexes over 10 million faces from public web sources. It finds the closest visual face matches by comparing facial features without confirming identities."
After: "VisageDB is a reverse face search engine that indexes over 13 million faces from publicly accessible web sources. It finds the closest visual face matches by comparing facial features without confirming identities."
useCases
Before: ["Searching for a person by photo using publicly indexed images.","Finding visual matches linked to profiles, posts, videos, and galleries on public sites."]
After: ["Searching for a person by photo using visual face matching across public web sources."]
walkthrough
Before: ["User uploads a photo; browser detects faces and user selects one to search.","The software converts the selected face into a facial embedding and ranks closest matches.","The system shows strongest visual matches with links to the webpages hosting them."]
After: ["User uploads a photo and the browser detects faces in it; user selects which face to search.","The software converts the selected face into a facial embedding and ranks closest matches.","The user receives the strongest visual matches with links to the hosting webpages."]