FaceTagr vs Azure Face API
Azure Face API is an image-based cloud service - upload a photo, get a result. FaceTagr's SDK, API, and FaceTyck app offer 1:1 verification and 1:N identification with NIST-benchmarked accuracy, passive liveness detection, and offline capability - on-premise, edge, or cloud.
Feature Comparison
| Feature | FaceTagr | Azure Face API |
|---|---|---|
| NIST FRTE Validated | Yes - 99.7% accuracy, Top 1% | No - not NIST benchmarked |
| Processing Model | Real-time video stream processing | Image-by-image API calls |
| Offline Capability | Full offline operation on-device | None - 100% cloud dependent |
| Passive Liveness Detection | Built-in - detects photo/screen spoofing on-device | Not available |
| Deployment Options | On-premise, edge, or FaceTagr cloud - flexible per project | Azure cloud only |
| Data Sovereignty | Data stays where you choose - on-premise or managed cloud | Data processed in Azure cloud regions |
| Camera Integration | Any RTSP/ONVIF camera - live video feeds | Requires image upload via API |
| Mobile SDK | Android & iOS with offline face recognition | Cloud API calls required |
| Pricing Model | Flexible - CAPEX or OPEX licensing | Per-API-call pricing (scales with usage) |
| Vision AI (Beyond Faces) | Weapon, fire, crowd, vehicle detection | Face, OCR, object detection (cloud) |
| Deployment Time | Minutes - plug-and-play with existing cameras | Days-weeks (cloud setup, API integration) |
When to Choose FaceTagr Over Azure
You need live video processing
FaceTagr processes video streams natively - Azure requires image-by-image API calls.
You need liveness detection
Built-in passive liveness blocks photo and screen spoofing - no extra integration needed.
You need offline capability
Field deployments, remote sites, or locations without reliable internet connectivity.
You want flexible deployment
Choose on-premise, edge, or FaceTagr-managed cloud - whatever fits your project.
Frequently Asked Questions
How does FaceTagr compare to Azure Face API?
Azure Face API is an image-based cloud service - you upload a photo, it returns results. FaceTagr offers 1:1 verification and 1:N identification via SDK, API, and FaceTyck mobile app. FaceTagr is NIST-benchmarked at 99.7% accuracy, includes built-in passive liveness detection, and can run on-premise, on edge devices, or on managed cloud - giving you full flexibility.
Is Azure Face API available offline?
No. Azure Face API requires active internet connectivity for every recognition request. FaceTagr works entirely offline on-device - critical for field operations, sovereign deployments, and locations without reliable connectivity.
Does FaceTagr only deploy on-premise?
No. FaceTagr offers flexible deployment - on-premise for sovereign requirements, edge devices for field use, or FaceTagr-managed cloud infrastructure. The deployment model is chosen per project based on the customer's needs.
Can Azure Face API process live CCTV feeds?
Not natively. Azure processes individual images via REST API calls. Real-time video processing requires extracting frames, sending each to Azure, and handling responses - adding latency and cost. FaceTagr processes live video streams directly from any RTSP/ONVIF camera.
Does FaceTagr include liveness detection?
Yes. FaceTagr includes passive liveness detection that works on-device - detecting photo attacks, screen displays, and digital spoofing without requiring the user to perform any action. Azure Face API does not offer comparable on-device liveness.
See FaceTagr in Action
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