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Launch AI-driven Deepfake Detection Using Only Two Simple Code Lines

PaladinAi services allow engineers to integrate cutting-edge detection tools to identify synthetic and AI-generated media. Begin instantly with generous trial limits, including fifty audio or image evaluations each month, and secure your applications with reliable deepfake analysis powered by advanced machine learning models.

What to Expect from the
PaladinAi API

Simplicity

Everything is streamlined for you, with a quick two-step flow: submit the content you want analyzed, then interpret the insights returned by the system.

Flexibility

Work seamlessly with Python, TypeScript, Java, Go, or Rust to match your preferred development environment and coding style.

Transparency

Every implementation remains open source to ensure visibility and provide developers with full understanding of how results are produced.

Accessibility

Access fifty monthly evaluations for images or audio — ideal for testing concepts, building demos, or powering lightweight use cases.

architecture

Api Tiers

Trial

No cost and no payment details required

  • ✓ Up to 50 monthly scans
  • ✓ Single seat
  • ✓ Audio, Image
  • ✓ Detection Score

API – Developer

It includes:

  • ✓ Up to 100 monthly scans
  • ✓ Three seats
  • ✓ Audio, Image, and Video
  • ✓ Detection Score
  • ✓ Live chat

Enterprise

Tailored plans and includes:

  • ✓ Custom scan volume
  • ✓ Multi-seat
  • ✓ Audio, Image, Video, and Text
  • ✓ Real-time streaming detection
  • ✓ Flexible deployment options
  • ✓ Scoring, Explainability, Export tools
  • ✓ Web dashboard
  • ✓ Custom integrations
  • ✓ Chrome extension
  • ✓ Priority support and chat

Bring Deepfake Detection Into Your Critical Workflows

Use case visual

Identity verification

Validate whether faces or voices are authentic for KYC, onboarding, or secure access flows.


Fraud detection

Catch deepfake impersonation attempts used for financial scams, support fraud, or account breaches.


Content moderation

Identify AI-generated media across user-generated platforms or community ecosystems.


Synthetic media detection

Detect altered visuals or audio—not limited to human subjects or spoken content.


Media analysis and fact-checking

Verify authenticity in journalism, investigative reporting, or broader OSINT workflows.


Research and testing

Test detection performance, explore datasets, or compare model behavior against alternatives.