Search your entire platform by face.
Upload one face and instantly search for similar faces across your own platform.
Built for private similarity search using your own platform data — not public web scraping.
Try It Instantly
Upload a face and see how FaceMirror finds the closest internal matches in seconds.
How It Works
FaceMirror turns every face in your system into searchable data. Integrate once, index automatically, and find the right matches in seconds. Your platform sends secure face-search requests to FaceMirror, which performs the similarity search and returns profile-linked results instantly.
Connect Your Platform
Install FaceMirror API with a few simple steps.
Faces Are Indexed
Face embeddings are generated for similarity search while uploaded images are deleted after indexing.
Upload a Face
A user uploads a face to search your internal dataset.
Get Matches Instantly
View the best matches linked to real profiles or records.
A user uploads a face to search against your internal image dataset.
FaceMirror compares vector embeddings across indexed platform faces instantly.
Return profile-linked matches connected to real records or creator pages.
Why FaceMirror
Built for platforms that need fast internal visual similarity search without public scraping or identity lookup.
Client-owned content only
Search runs against your own database, not random public web images.
Profile-linked results
Matches can point directly to internal profiles, records, talent pages, or review queues.
Privacy-first indexing
FaceMirror generates vector embeddings for similarity search while your platform remains the source of truth for photos and profiles.
Industries that Benefit
FaceMirror is especially strong for platforms where visual similarity can help users discover the right profile, creator, or internal record faster.
Increase profile discovery
Help users start with one face and land on the closest matching member profile inside the platform.
Route matches to creator pages
Send visually similar matches directly to creator pages or internal review destinations instead of loose image results.
Help users find creators faster
Help users move from one uploaded face to visually similar creator profiles or internal records within your own platform.
Speed up talent discovery
Turn similarity search into a faster way to discover and open real talent profiles across a roster or casting database.
Pricing
Simple pricing based on monthly search volume, so you can scale usage without surprises.
Starter
For early testing.
- Built for smaller pilots and early customer validation
- Widget-ready experience for lightweight usage
- Simple entry point before larger rollout plans
Growth
For scaling teams.
- Built for real product usage across growing platforms
- Strong fit for teams that want a live widget plus API story
- Balanced tier before stepping into high-volume deployment
Pro
For heavier traffic.
- Designed for larger datasets and much higher search volume
- Premium tier for serious commercial rollout plans
- Best fit for clients expecting sustained usage at scale
Enterprise
For large databases and custom deployment needs.
- Custom limits
- Dedicated scaling plan
- Security review support
FAQ
Does FaceMirror permanently store client photos?
No. Uploaded images are deleted after indexing while vector embeddings are kept for similarity search.
Can results open real profiles?
Yes. Results can be connected to profile URLs, record pages, or internal review pages inside your platform.
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 dataset.