Profile Authenticity Check
Real humans only. Zero bots, zero catfishes. Trust is your platform's most valuable asset.
Solves For
- Romance scams defrauding users
- Bot signups inflating metrics
- User distrust leading to churn
Powerful Features
Everything you need to execute precision investigations and monitoring.
1:N Face Indexing
Ensure a face is only used once across your entire platform.
Synthetic Media Detection
Spot AI-generated profile photos (GANs/Diffusion models).
Cross-Platform Consistency
Verify if the user has an established digital footprint elsewhere.
Liveness Check
Challenge-response video verification to prove presence.
Technical Specifications
Accuracy
- FAR < 0.001%
- FRR < 1%
- iBeta Level 2 Compliant
Speed
- <3s verification time
- Global CDN
Under the hood.
Liveness Detection
Static selfies are easy to spoof. We require a short video selfie where the user responds to randomized prompts (e.g., 'Look left', 'Smile'), proving they are a live human present in the moment.
1:N Face Indexing
We prevent duplicate accounts by indexing the biometric signature. If a banned user tries to return with a new email but the same face, we block them instantly.
Deepfake Defense
Our models analyze pixel-level artifacts, lighting consistency, and pulse detection (rPPG) to identify AI-generated or digitally manipulated faces.
System Specifications
Biometric Specs
- Liveness StandardISO 30107-3
- Matching Speed< 200ms
- False Accept Rate1 in 1,000,000
- Bias MitigationFairness-Tuned Models
Integration
- SDK Size< 5MB (iOS/Android)
- Web SupportWASM / JS SDK
- ComplianceGDPR, BIPA (Consent Flow)
- Uptime99.95%
Seamless Integration
import { TraxVerify } from '@traxintel/verify-sdk';
const verify = new TraxVerify({
mode: 'liveness', // or 'document'
onSuccess: (token) => {
// Send token to backend for validation
console.log('Verification successful:', token);
},
onError: (error) => {
console.error('Verification failed:', error);
}
});
// Launch the modal
verify.start();Client-Side SDK
Initialize the face capture flow with just a few lines of code.
Streamlined workflow for results.
We've optimized the process to move from input to intelligence in record time.
Onboarding
User uploads a selfie and profile photo during signup.
Analysis
We check liveness, uniqueness, and cross-platform history.
Verdict
Instant confidence score: Real, Bot, or Suspicious.
Why choose TraxinteL?
See how we stack up against Selfie Upload.
| Feature | TraxinteL | Selfie Upload |
|---|---|---|
| Spoof Protection | 3D Liveness (Active) | Static Image (Weak) |
| Duplicate Prevention | 1:N Deduplication | None |
| User Feedback | Real-time Guidance | Frustrating Errors |
| Deepfake Detection | Advanced | None |
Pricing
Choose the right plan
Transparent pricing for Dating & Communities teams. Scale as you grow.
Startup
New Apps
Grow with confidence.
- 1k Verifications/mo
- Liveness Check
- Bot Detection
- API Access
Platform
Major Dates/Socials
Scale without fraud.
- Volume Pricing
- Custom Risk Rules
- Manual Fallback Review
- SLA Support
Frequently Asked Questions
Does this work with masks or glasses?
Eye glasses are fine. Masks or heavy sunglasses must be removed for accurate liveness detection.
Is biometric data stored?
You control the retention policy. We recommend storing only the mathematical template (hash), not the raw image, for privacy.
Is this compliant with BIPA?
Yes. Our SDK includes a mandatory consent screen that you can customize to meet IL BIPA and GDPR consent requirements.
What if the user fails?
We provide specific error codes (e.g., 'Too dark', 'Face moved too fast') so you can guide the user to try again.
Can I use my own UI?
Yes. We offer a 'headless' mode where you build the UI and feed frames to our API, though the standard SDK is recommended for best performance.
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Ready to solve dating & communities challenges?
Launch your first investigation.
Start using TraxinteL's Profile Authenticity Check today. Get comprehensive reports, real-time alerting, and expert support.
Private. Secure. Anonymous.