3 billion parameters validated against 160+ generative AI tools. Rather than matching against a library of known fakes, DETECT-3B Omni learns the statistical artifacts that generative architectures leave behind. No prior enrollment required.
Detection accuracy across audio, video, and images under real-world attack conditions.
Benchmarks available upon request.
RESEMBLE detect attack coverage
Can it catch a fake it's never seen before? That's why we test and update contiuously.
Voice clone
DETECTED
DETECTED
Replay attack
DETECTED
DETECTED
Face swap
DETECTED
DETECTED
Partial edit
DETECTED
DETECTED
Synthetic image
DETECTED
DETECTED
Live call interception
DETECTED
DETECTED
Video conferencing
DETECTED
DETECTED
Reverse Image Search
DETECTED
DETECTED
OUR CAPABILITIES
From alert to audit trail, in one place.
One integration across audio, video, and images.
Real time detection
Catches fakes in under a few seconds inside Zoom, Teams, Meet, Webex, and phone systems. No setup required. It detects any synthetic voice, not just ones you’ve registered.
Authenticity scoring
Gives you a verdict and shows you exactly why. Frame-by-frame heatmaps pinpoint where manipulation was detected and what triggered the flag.
Explainable detection
Analyzes context, intent, and liveness alongside every detection. Surfaces specific artifacts and anomalies, with an AI-powered chat to dig deeper and built-in audit trails to document rationale.
Web source verification
Cross-references submitted images against live web sources to surface provenance and reduce false positives.
#1
Ranked on Hugging Face for speech and image deepfake detection
160+
Generative AI models tested against in real time
51
Languages covered, validated against MLAADv9
AI ATTACK RISK BY INDUSTRY
Built for regulated industries
Undetected synthetic media becomes evidence, a liability, or precedent.
Banking & Finance
Industry risk:
Voice-cloned executives authorizing wire transfers and deepfaked video bypassing KYC checks.
Resemble AI solution:
Flag synthetic audio and video at the point of submission. Zero Retention Mode ensures submitted media never touches vendor storage.
Law enforcement
Industry risk:
Evidence integrity disputed without documented chain of custody.
Resemble AI solution:
Establish chain of custody for audio, video, and image evidence. Zero Retention Mode satisfies data handling requirements for submitted evidence.
Telecommunications
Industry risk:
FCC non-compliance on AI-generated voice calls.
Resemble AI solution:
Analyze every inbound call for synthetic voice before it reaches your agents.
Media & Entertainment
Industry risk:
Synthetic content published without provenance, triggering C2PA and EU AI Act exposure.
Resemble AI solution:
Screen at ingestion and encode with Resemble Watermarker to mark and track authenticated originals.
Retail & E-commerce
Industry risk:
Fake delivery images, AI-generated refund evidence, and synthetic product reviews are being submitted through legitimate channels.
Resemble AI solution:
Verify images at point of submission. Flag manipulated or AI-generated media before decisions are made.
HR & Recruitment
Industry risk:
Deepfake candidates passing video interviews using face swaps and synthetic voices.
Resemble AI solution:
Flag synthetic audio and video in real time during interviews. Catches face filters and voice cloning before a candidate advances.
Our annual threat report documents the scale, sophistication, and trajectory of deepfake attacks with projections for 2026. Every security leader needs to read.
1,567 verified incidents
$1.28B in documented fraud
Less than 20% of incidents include documented fraud
No. Analysis runs as a parallel process. Calls are not rerouted or delayed.
What media formats are supported?
Audio: MP3, OGG, AAC, G.711, G.723.1, PCMu, PCMa. Video: all major formats from current AI generators. Images: 160+ tools including GPT-4o, Gemini 2.0 Flash, and Flux v2.
How does DETECT-3B Omni actually work?
Most detection tools pattern-match against a database of known fakes. If the fake is new, they miss it. DETECT-3B Omni works differently. Rather than matching against a library of known fakes, it learns the statistical artifacts that generative architectures leave behind during creation, making it robust to post-processing like compression and filtering that breaks pattern-matching detectors. Analysis runs frame-by-frame on raw audio and pixel signals, with no transcription, no prior enrollment, and no context required. When new generative models are released, we retrain against new synthetic data, typically achieving coverage within days.
Why is DETECT-3B Omni more accurate than other detection models?
Most detection models fail because they don't have enough synthetic data or the diversity they need. Ours is drawn from our own generative models, which means we see new attack techniques before most detection companies know they exist. The result is 96.7% accuracy across audio, video, and images.
Does Resemble Detect explain why something was flagged?
Yes. Every detection surfaces the specific artifacts, patterns, and anomalies that triggered the flag, covering context, intent, and liveness. Dig deeper through an AI-powered chat interface, and every finding generates a built-in audit trail your team can document and act on.
How does Zero Retention Mode work?
For regulated industries, the primary barrier to adopting cloud-based detection is the legal risk of media storage. Zero Retention Mode ensures submitted media is permanently deleted after analysis and never viewable by Resemble staff or systems.
How does reverse image search work in detection?
Built to reduce false positives, reverse image search runs alongside detection and searches the web for matching images to provide additional context on whether a submission is real or fake. It surfaces historical evidence predating AI models, traces the original unedited source to confirm face or background swaps, identifies zero-day fakes with no historical web record, matches against known fact-checked hoaxes, and shows how widely an image has spread across the internet.
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