Deepfake Detection
Stop AI-Generated Identity Fraud
deepidv's deepfake detection analyzes images, videos, and live streams to identify AI-generated content, face swaps, and synthetic media.
Multi-layer
Detection Analysis
<1
Second Detection
90%+
Accuracy Rate
What We Detect
Identify all forms of deepfakes and synthetic media threats
AI-Generated Faces
Detect faces created by GANs, StyleGAN, and other AI face generators that contain forensic artifacts our AI identifies.
Face Swap & Replacement
Identify face-swapped videos where one person's face is digitally replaced with another's using DeepFaceLab and FaceSwap.
Morphed Photos
Detect morphed images where multiple faces are blended together to create hybrid identities that fool facial recognition.
Manipulated Videos
Analyze videos for temporal inconsistencies, compression artifacts, and frame-level manipulation indicating deepfake generation.
Audio Deepfakes
Detect AI-generated voice clones, voice changers, and synthetic audio used to bypass voice verification systems.
3D Mask Attacks & Presentation Attacks
Identify high-quality 3D masks, silicone masks, and photo/video/screen presentations during biometric verification.
Multi-Layer Detection Analysis
Analyze media at multiple forensic levels simultaneously
Pixel-Level Forensics
Examine pixel patterns, noise characteristics, and compression artifacts
Facial Feature Analysis
Check for anatomical inconsistencies and unnatural facial proportions
Temporal & Biological Analysis
Analyze frame consistency, motion patterns, and involuntary facial movements
Source & Liveness Verification
Identify generation tool signatures and confirm subject is a living person
Why Deepfake Detection Matters
Protect against the fastest-growing identity fraud threat
Identity Verification Protection
Prevent synthetic identity fraud when selfies are AI-generated and ID photos are face-swapped.
Account Takeover Prevention
Stop attackers using deepfaked videos to pass video verification and take over accounts.
Financial Fraud Protection
Prevent deepfake video attacks during high-value wire transfers, loan applications, and account modifications.
KYC/AML Compliance
Ensure financial regulatory requirements are actually met beyond document checks.
Remote Onboarding Security
Protect remote account opening and digital identity verification from deepfake attacks.
Executive Authorization Protection
Stop CEO fraud using deepfaked videos of executives authorizing transactions and approving payments.
Detection Modes
Real-Time vs Forensic Analysis
Choose the analysis type that matches your use case
Real-Time Detection
- Analyze images or videos during live verification
- Results in seconds
- Prevent fraudulent accounts at creation point
- Immediate deepfake rejection
Forensic Analysis
- Deep analysis of suspicious media
- Comprehensive forensic reports
- Used for investigations and reviews
- Legal proceedings documentation
Use Cases by Industry
Deepfake detection protects across multiple industries
Banking & FinTech
Prevent account opening fraud, stop transaction authorization deepfakes, protect KYC/AML compliance.
Online Gaming
Detect fake player identities, prevent multi-accounting with synthetic faces, protect age verification.
E-Commerce
Stop fraudulent account creation and payment fraud using stolen or synthetic identities.
Healthcare
Verify patient identities during telehealth and prevent medical identity theft.
Government Services
Protect benefit applications and prevent identity fraud in online government services.
Dating Apps & Social Media
Detect catfishing with AI-generated photos, identify synthetic profiles, and prevent disinformation.
Confidence Assessment
Detection Confidence Scoring
Deepfake detection isn't binary. We provide confidence scores indicating likelihood of manipulation:
90-100% High Confidence
Clear deepfake indicators present, immediate rejection recommended
Reject
70-90% Medium Confidence
Suspicious characteristics detected, manual review recommended
Review
50-70% Low Confidence
Minor anomalies, additional verification recommended
Step-up
<50% Authentic
No significant deepfake indicators detected
Accept
What Happens When Deepfakes Are Detected
Multiple response options configured to your risk requirements
Immediate Rejection
Immediately reject verification attempts
Manual Review Flag
Flag accounts for manual review
Alternative Verification
Request alternative verification methods
Stepped-Up Authentication
Trigger stepped-up authentication
Fraud Team Reporting
Report to fraud prevention teams
Forensic Reports
Detailed forensic reports for investigation
API & SDK Integration
Multiple integration methods for your detection workflow
Image Analysis API
Analyze uploaded photos and selfies for deepfake indicators
Video Analysis API
Process video streams or recorded videos for manipulation
Real-Time SDK
Mobile and web SDKs that detect deepfakes during live capture
Batch Processing
Analyze large volumes of existing media for deepfake content
Trusted & Certified

SOC 2 Type II
Audited security controls for data protection

GDPR Compliant
Full compliance with EU data privacy regulations

ISO 27001
International standard for information security

DIACC Member
Digital ID & Authentication Council of Canada
Ship Verification in Hours, Not Weeks
Our SDK gives you pre-built UI components, server-side libraries, and a sandbox environment so you can go from zero to live verification in a single sprint.
import { DeepIDV } from '@deepidv/sdk';
const client = new DeepIDV({
apiKey: process.env.DEEPIDV_API_KEY,
});
const verification = await client.verify({
type: 'identity',
checks: ['id-document', 'liveness', 'face-match'],
webhookUrl: 'https://yourapp.com/webhooks',
});
// verification.url → send to your user
// verification.id → track the sessionClient SDKs
Native SDKs for iOS, Android, and Web with drop-in UI components for ID capture, liveness, and document upload.
Server SDKs
Node.js, Python, and Go libraries to manage verifications, retrieve results, and configure workflows programmatically.
Sandbox Environment
Full-featured test environment with simulated ID documents, mock biometrics, and instant webhook delivery for rapid development.
Modular Architecture
Pick only the modules you need — ID verification, liveness, e-signatures, document management — and compose custom flows.
Experience the Difference
See how deepidv deepfake detection can protect your verification process — it takes 60 seconds.
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Frequently asked questions
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