#1 on DFBench - Speech, video and image detection

Know what's real in milliseconds.

Full-stack AI multimodal AI accuracy
SOC 2, GDPR & HIPAA compatible
Built-in watermarking
Benchmarked #1 deepfake detection model
Dedicated enterprise support
Detects against 250 generative AI models
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HOW IT WORKS

Detection in three simple steps

A single API call is all it takes. Submit audio, video, or image content and receive a confidence score in under 300 milliseconds.
1
Submit media
Send audio, video, or image files via REST API, browser upload, or real-time stream. Supports all major formats including MP3, WAV, MP4, JPEG, and PNG.
2
Model analysis
Our multi-modal detection model, DETECT-World analyzes generation patterns and physical reality, including lighting, motion, and continuity,  across all three content types simultaneously.
3
Structured result
Get a confidence score, modality breakdown, a suspected source model and an intelligence report. Trigger webhooks, block content, or route for human review automatically.
Feature comparison

Detection is just the start

Most deepfake detectors stop at a score. Resemble AI goes further with watermarking, open-source transparency, on-premise deployment, and a full voice platform built in.
Feature Resemble AI Typical Competitor
Detection Coverage
Audio Deepfake Detection Yes, varies by vendor
Video Deepfake Detection Often add-on or limited
Image Deepfake Detection Rarely included by default
Real-Time / Streaming Detection Add-on or not available
Accuracy & Transparency
Public Benchmark Ranking Not publicly published
Models Trained Against Typically undisclosed
Prevention & Provenance
PerTH Watermarking Not offered
Watermark Decode / Provenance Trace Not offered
Deployment & Compliance
On-Premise / Air-Gapped Deployment Enterprise-only or unavailable
SOC 2 Type II Often enterprise-gated
HIPAA Add-on or not included
GDPR / EU Data Residency Varies
Access & Pricing
Credits Expiry Typically expire monthly
Volume Discounts Custom / opaque
see it in action

Meet DETECT-World

Learn how the first-ever deepfake detector built on world model architecture catches deepfakes across audio, video, and image in real time.