Loading...
Loading...
Content Integrity
AI-powered deepfake and synthetic media detection. Verify identity, detect face swaps and voice clones, and score content authenticity with forensic-grade precision.
Detection Engines
Purpose-built ML models for each media type deliver best-in-class accuracy across faces, voices, video, and images.
Multi-model analysis detects GAN-generated faces, face swaps, and facial reenactment with 99.2% accuracy. Works across video, images, and real-time streams.
Identifies AI-generated voice clones, text-to-speech synthesis, and voice conversion attacks. Analyzes spectral patterns invisible to human hearing.
Detects temporal inconsistencies, compression artifacts, and frame-level manipulations in video content. Frame-by-frame and scene-level analysis.
Identifies AI-generated images from diffusion models, GANs, and other generative architectures. Detects subtle artifacts invisible to the naked eye.
Authenticity Score
Every analysis produces a 0-100 authenticity score that aggregates findings from all detection models. The score includes a detailed breakdown so you understand exactly what was found.
Analysis: video_meeting_2026-01-15.mp4
94
Authentic
Face Analysis
No manipulation detected
Voice Analysis
Natural speech patterns
Temporal Consistency
No frame anomalies
C2PA Provenance
Valid chain of custody
Capabilities
Cross-reference detected faces and voices against verified identity databases. Confirm whether content features who it claims to feature.
Every piece of content receives a 0-100 authenticity score with detailed breakdown of which signals contributed to the assessment.
Process content in real time as it arrives. Streaming analysis for video, batch processing for images, and live detection for audio.
Generate detailed forensic reports with evidence chains suitable for legal proceedings. Includes methodology documentation and expert annotations.
Configure alert thresholds for authenticity scores. Get notified immediately when content is flagged as potentially synthetic.
Cross-reference deepfake analysis with C2PA provenance data. Content with valid provenance chains receives higher confidence in authenticity.
Process
Upload images, video, or audio through the dashboard or API. Content is securely processed in isolated environments and never stored beyond analysis.
Multiple specialized ML models analyze the content simultaneously. No single-model decisions. Results are fused using ensemble methods for maximum accuracy.
Receive an authenticity score, detailed findings, and a confidence-rated verdict. Optional forensic report generation for legal or compliance purposes.
Developer Integration
import { DRD } from '@drd/sdk';
const drd = new DRD({ token: 'drd_live_sk_...' });
// Analyze a video for deepfake indicators
const result = await drd.deepfake.analyze({
url: 'https://cdn.example.com/video.mp4',
type: 'video',
checks: ['face_swap', 'voice_clone', 'temporal'],
});
console.log(result.authenticity_score); // 94
console.log(result.verdict); // "authentic"
console.log(result.confidence); // 0.97
// Check individual detection results
for (const check of result.checks) {
console.log(check.name, check.score, check.details);
}
// Generate a forensic report
const report = await drd.deepfake.report(result.id, {
format: 'pdf',
include_evidence: true,
});Start detecting deepfakes today with forensic-grade accuracy. Protect your identity, your content, and your trust.