Verify real humans. Block spoofing. In under a second.
FacialProof is a face liveness detection API built to determine whether a real person is present, not a photo, video replay, mask, or synthetic face.
Designed for real-world conditions, fast onboarding flows, and developers who want control without enterprise friction.
👁️ Facial Recognition
Detect faces in real-time using your camera
Reference
Results
{
"success": true,
"faces_detected": 3,
"faces": [
{
"id": 1,
"confidence": 0.95,
"bounding_box": {"x": 150, "y": 200, "width": 300, "height": 350},
"age": "27-29 years old",
"emotion": "Happy",
"gender": "Female"
},
{
"id": 2,
"confidence": 0.92,
"bounding_box": {"x": 500, "y": 180, "width": 280, "height": 320},
"age": "25-27 years old",
"emotion": "Neutral",
"gender": "Male"
},
{
"id": 3,
"confidence": 0.88,
"bounding_box": {"x": 800, "y": 250, "width": 200, "height": 250},
"age": "6-8 years old",
"emotion": "Happy",
"gender": "Male"
}
]
}
Live Camera
ID Document
🎭 Facial Emotion Recognition
Upload an image or use real-time camera for face shape analysis using advanced AI
Face Shape
Personal Attributes
Face Measurements
Detection Info
🎤 Advanced Voice Emotion Detector
AI-Powered Real-Time Emotion Analysis
✔ Passive & active liveness ✔ Image or video input ✔ Privacy-first, GDPR-aligned
Why Developers Choose Our Face Liveness Detection API
FacialProof is the best Active & Passive Liveness Detection API for developers who need accurate liveness detection, validation, and matching with simple setup.
1. Capture the Face
The user captures a selfie image or short video using any web or mobile camera, no special hardware required.
Supported capture methods:
- Web & mobile cameras: works across browsers, Android, and iOS, even on low-quality devices
- Passive liveness (single image): fast, low-friction selfie verification
- Active liveness (short video or challenge): blink, turn, or motion for higher-risk cases
2. Analyze for Live Presence
FacialProof evaluates biometric and behavioral signals to determine whether a real human is physically present.
The analysis includes:
- Skin texture and depth cues to detect flat or displayed images
- Natural motion and micro-movements that indicate live capture
- Replay and injection detection for screen and camera feed attacks
- Signals linked to synthetic or manipulated faces, including deepfakes
All checks run in real time with low latency.
3. Make a Trust Decision
FacialProof returns a clear, structured API result your system can act on instantly.
You receive:
- Liveness outcome (pass / fail)
- Confidence score
- Risk indicators when additional verification may be needed
Use the result directly in onboarding, step-up verification, or access control, no manual review required.
Active and Passive Liveness Detections
We don’t just detect faces; we verify presence.
We provide the flexibility of Active and Passive Liveness to match your specific user experience and security requirements.
Passive & Active Liveness Detection
Use passive liveness for fast, low-friction verification with a single selfie.
Trigger active liveness (blink, turn, movement) only when higher assurance is needed.
Presentation Attack Detection (PAD)
Built to detect common real-world spoofing attempts, including:
- Printed photos
- Screen and video replays
- Pre-recorded face videos
- Basic 2D masks and paper attacks
Designed around ISO/IEC 30107-3 attack categories.
Deepfake & Synthetic Face Signals
Identifies visual and behavioral indicators associated with:
- AI-generated faces
- Face swaps
- Manipulated or injected camera feeds
Focused on early risk detection, not marketing promises.
Real-Time, Low-Latency Processing
Optimized for fast decisions without slowing down onboarding or login flows, even on older devices and unstable networks.
Clear, Actionable API Outputs
Receive predictable, developer-friendly responses:
- Liveness status
- Confidence score
- Optional risk indicators
No opaque scoring or hard-to-interpret results.
Privacy-First by Design
- Stateless processing
- No image storage
- No biometric resale or model training
- GDPR-aligned data handling
Built for teams that care about compliance and user trust.
The FacialProof Advantage
FacialProof.com is the easiest way to block deepfakes and bots. Our API is fast, accurate, and works on any device.
Real-World Use Cases Face Recognition API
FacialProof is used in environments where fake users create real risk:
- Fintech & banking: stop account opening fraud, step-up verification for risky actions
- Crypto & exchanges: block bots, prevent fake account farms, protect withdrawals
- Gaming & marketplaces: reduce ban evasion, fake users, and abuse
- Apps & SaaS: secure face login and prevent automated sign-ups
Developer-First Integration
One API. One Flow. Any Platform.
We understand tedious integration barriers. That’s why our Liveness Detection API shares the same logic across Python / JS / PHP / Java / Android / iOS.
import facialproof
result = facialproof.check_liveness(
image,
mode="passive"
)
if result.status == "REAL":
proceed_with_onboarding()
else:
trigger_step_up()FacialProof vs. Established Liveness Providers
FacialProof is built as a liveness-first API, not a bundled identity or compliance platform.
While larger vendors prioritize enterprise workflows and multi-product suites, FacialProof focuses on accurate face liveness detection with minimal integration friction.
| Feature | FacialProof | Microsoft Azure / AWS Rekognition | Onfido / Jumio |
|---|---|---|---|
| Primary Focus | Liveness detection | Cloud & identity services | Full KYC / ID verification |
| Liveness Type | Passive-first, optional active | Often video or active-based | Video + challenge-heavy |
| Typical Latency | Sub-second (real-time) | Higher, multi-step flows | Higher due to review steps |
| Integration Model | Self-serve API | Cloud configuration required | Sales-led onboarding |
| Pricing Style | Usage-based, transparent | Tiered / bundled pricing | Contracts & minimums |
| Compliance Scope | iBeta Level 2, GDPR-aligned | Mixed Level 1 / 2 | Level 2 (ID-centric) |
Faster Than Azure Face API (In Practice)
Face liveness checks using Microsoft Azure Face APIs are often embedded in broader identity or video-based flows.
FacialProof is optimized for direct liveness decisions, reducing latency by avoiding unnecessary steps.
Lower Friction Than Enterprise KYC Platforms
Platforms like Onfido and Jumio are designed for regulated KYC workflows, which often means:
- Video capture
- Manual review paths
- Longer setup cycles
FacialProof focuses strictly on presence verification, making it easier to deploy in product-led environments.
Transparent Pricing vs. Sales-Led Models
Some vendors, such as Mitek or Facia.ai, rely on quote-based pricing and bundled contracts.
FacialProof uses a pay-as-you-go API model, better suited for teams that want predictable costs as they scale.
Beyond Basic Face Recognition
Traditional face recognition providers like Luxand and IDEMIA focus primarily on identity matching.
FacialProof is designed to answer a different question first:
Is a real human present right now?
Liveness is treated as a core signal, not an add-on.
When FacialProof Is the Right Choice
FacialProof is a strong fit if you need:
- Fast face liveness detection without heavy UX friction
- Passive-first verification with optional step-up checks
- A developer-controlled API, not a compliance bundle
- Clear outputs you can automate against
If your primary need is document verification or regulatory KYC, enterprise platforms may be more appropriate. If your problem is spoofing, bots, and fake users, FacialProof is built for that layer.
Is FacialProof really one of the most accurate liveness detection APIs?
Yes. FacialProof is optimized for passive liveness, achieving industry-leading accuracy with extremely low false rejections in real-world conditions, including low-quality cameras and difficult lighting.
How do Active and Passive Liveness work together?
Passive liveness runs first using a single selfie with no user action. If a risk signal is detected, active liveness (blink or movement) is triggered as a step-up. This gives you maximum security without hurting conversion.
Do you store or reuse user photos?
No. FacialProof uses stateless processing. Images are analyzed, a decision is returned, and the data is immediately deleted. We never store, sell, or train on your users’ faces.
How is FacialProof different from Azure, AWS, or KYC platforms?
FacialProof is liveness-first, not a heavy identity suite or cloud platform. There are no monthly minimums, no sales calls, and no complex setup, just a fast API that developers can integrate and control.