Duckduckgoose

DeepDetector runs an ensemble of forensic classifiers that inspect facial and temporal inconsistencies, GAN and diffusion fingerprints, and audio artifacts imperceptible to the human eye and ear. Every verdict comes with a manipulation heatmap and confidence score: evidence your team can audit, not just a red or green light.

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Coverage of the generators in the wild today (not a stale benchmark), explainable and exportable results that stand up in compliance review, algorithm-level certification such as ISO/IEC 30107-3, deployment that fits your data-residency rules, and sub-second latency inside your existing KYC or moderation flow. Which is exactly how DeepDetector is built.

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Yes. Waver analyses speech in real time and language-agnostically, and DeepDetector returns image and video verdicts in under a second, fast enough to sit inside a live onboarding or meeting-verification flow without adding friction.

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Free tools typically run a single model trained on academic data. DuckDuckGoose runs a continuously retrained ensemble, attributes the generating model, and produces a forensic report that is auditable and defensible, built under EU law and deployable on-premise.

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The platform is built GDPR-native, aligns with the EU AI Act's transparency and risk obligations, and supports NIS2 and eIDAS 2.0 workflows. Data can be kept entirely within the EU or deployed fully on-premise.

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