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Deepfake Detection

If it isn't real,
we'll catch it.

Frame-level detection of face swaps, presentation attacks, and AI-generated synthetic media across video, image, and voice. Powered by deepcam, the only deepfake stack with hardware and software in one platform.

Multi-layer

Detection Analysis

<1

Second Detection

90%+

Accuracy Rate

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Deepfake Detection verification
Comprehensive Detection

What We Detect

Identify all forms of deepfakes and synthetic media threats

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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

Critical Protection

Why Deepfake Detection Matters

Protect against the fastest-growing identity fraud threat

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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

Industry Applications

Use Cases by Industry

Deepfake detection protects across multiple industries

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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

Recommended
50-70% Low Confidence

Minor anomalies, additional verification recommended

Step-up

<50% Authentic

No significant deepfake indicators detected

Accept

Fraud Response

What Happens When Deepfakes Are Detected

Multiple response options configured to your risk requirements

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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

Flexible Integration

API & SDK Integration

Multiple integration methods for your detection workflow

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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

Built to meet the world's most demanding security and privacy standards.

SOC 2 Type II
SOC 2 Type II

Audited security controls for data protection

GDPR Compliant
GDPR Compliant

Full compliance with EU data privacy regulations

ISO 27001
ISO 27001

International standard for information security

DIACC Member
DIACC Member

Digital ID & Authentication Council of Canada

Developer SDK

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.

Read the DocsGet API Keys
verification.ts
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 session

Client 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.

Stop Synthetic Fraud

Experience the Difference

See how deepidv deepfake detection can protect your verification process — it takes 60 seconds.

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Frequently asked questions

deepidv detects a full spectrum of AI-generated and manipulated media: GAN/StyleGAN-generated faces, face swaps (DeepFaceLab, FaceSwap), morphed photos, manipulated videos, audio deepfakes and voice clones, and presentation attacks including 3D masks, silicone masks, and photo/video/screen replays.

Real-time detection returns results in under a second during live verification sessions, enabling immediate rejection of fraudulent accounts at the point of creation without adding perceptible friction for legitimate users.

Our multi-layer detection analysis achieves 90%+ accuracy by combining pixel-level forensics, facial feature analysis, temporal and biological analysis, and source/liveness verification. Confidence scores are returned with every analysis to support your risk decisioning.

Real-time detection analyzes images or videos during live verification and returns results in seconds, ideal for onboarding and transaction authorization. Forensic analysis performs deep examination of suspicious media and produces comprehensive reports used for investigations, reviews, and legal proceedings.

We offer an Image Analysis API, Video Analysis API, Real-Time SDK for mobile and web, and Batch Processing for large volumes of existing media. Each integration returns a confidence score you can feed directly into your fraud rules engine.

Still have questions?

Our team is ready to help you get started.

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All-In-One Products

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