FaceMirror
Synchronized Face-to-Profile Discovery

Connect your platform once. Synchronized forever.

Your platform remains the source of truth. Profiles and photos are continuously mirrored to power instant face-to-profile discovery.

Client-owned source of truth
Continuous mirror updates
Profile-linked results
ZIP import for migration
Connect Once

Your platform sends profile and photo data through the integration path that fits your workflow.

Mirror Updates

FaceMirror updates only the profiles and photos that changed, keeping the index current.

Always Synchronized

Search results stay connected to the right profiles, creator pages, portfolios, or internal records.

How FaceMirror Works

Connect once, mirror continuously, and let users discover the right profile by face. FaceMirror keeps the search layer synchronized while your platform stays in control.

The Process
1

Connect

Connect your platform once using the FaceMirror API, webhook flow, or initial import tools.

2

Mirror

Profiles and photos are mirrored into searchable face embeddings while your platform remains the source of truth.

3

Update

New profiles, changed photos, and deleted records trigger Mirror Updates instead of full manual rebuilds.

4

Discover

Users search by face and open profile-linked results from the synchronized mirror.

Why FaceMirror

Built for platforms that need synchronized face-powered profile discovery without turning FaceMirror into the customer database.

Source-of-truth architecture

Your platform owns users, profiles, photos, URLs, permissions, and deletions. FaceMirror mirrors only what is needed for search.

Always-current discovery

Mirror Updates keep the search index aligned as profiles are created, updated, or removed from your platform.

Profile-linked results

Matches can point directly to member profiles, creator pages, portfolios, internal records, or review queues.

Integration Paths

Start with the workflow that matches your platform. ZIP import remains available for migration, while production platforms can evolve toward event-driven Mirror Updates.

API Mirror Updates

Send profile-created, profile-updated, photo-added, photo-removed, and profile-deleted events as your platform changes.

Bulk Synchronization

Import existing profiles and photos first, then keep everything current through incremental updates.

ZIP Import

Use a ZIP archive for internal image libraries, legacy migrations, pilots, or datasets that do not need profile synchronization yet.

Built for Your Platform

Whether you run a profile-based platform or a private image library, FaceMirror adapts to the way your data already works.

Dating platforms

Dating platforms

Requires profile synchronization so face searches can open the correct member profile.

Creator platforms

Creator platforms

Mirror creator profiles and photos so matches route to the correct creator page.

Internal libraries

Image library search

Upload a ZIP or import archive to make a private face-searchable image library. Profile mapping is optional.

Modeling and casting

Portfolio discovery

Mirror models, photos, and portfolio URLs so searches open real talent profiles instead of loose image results.

Try It Instantly

Test the live demo after seeing the workflow. Upload a face and see how FaceMirror returns the closest matches from a synchronized search mirror.

Pricing

Simple pricing based on monthly search volume, with integration paths that grow from initial import to synchronized platform mirroring.

Starter

$49/mo

For early testing.

Up to 5,000 searches / month
$0.02 per additional search
  • Initial import for pilots and early validation
  • Widget-ready demo and lightweight usage
  • Good fit before full platform synchronization

Pro

$499/mo

For heavier traffic.

Up to 250,000 searches / month
$0.02 per additional search
  • Designed for larger synchronized mirrors and higher volume
  • Best fit for serious commercial rollout plans
  • Supports heavier profile discovery usage at scale

Enterprise

Custom

For large databases and custom deployment needs.

Custom search volume
Usage, support, and infrastructure are scoped to the client
  • Custom search volume and sync requirements
  • Dedicated scaling plan
  • Security and integration review support
Request Access
Note: pricing may increase over time as infrastructure, synchronization requirements, and search volume grow. Enterprise usage is quoted separately so large clients can be sized appropriately.

FAQ

Who is the source of truth?

Your platform is the source of truth. You own users, profiles, photos, URLs, permissions, and deletions. FaceMirror mirrors the search layer.

What is a Mirror Update?

A Mirror Update is an incremental sync event. When a profile, photo, or deletion changes on your platform, FaceMirror updates the matching search records.

Can results open real profiles?

Yes. Results can be connected to profile URLs, record pages, creator pages, portfolios, or internal review destinations inside your platform.

Can I still use ZIP uploads?

Yes. ZIP import remains useful for internal image libraries, migrations, pilots, and legacy datasets. Production profile platforms can later move to synchronized Mirror Updates.

Are face embeddings actual photos?

No. Face embeddings are mathematical vectors used for similarity search. They are not image files and are not designed to reconstruct the original face photo.

Is this facial recognition?

FaceMirror is designed as visual similarity search across your own platform data. It helps find similar-looking faces within your own synchronized mirror.

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Try Live Demo
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