Know what's real with multimodal deepfake detection

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.

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.

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 98.1% accuracy at the scale of thousands or tens of thousands of files per day.

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.

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.

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.