Resemble.ai
PaidComplete generative AI security: generate, verify, and detect across audio, image, and video.
A multimodal generative AI security platform that synthesizes realistic voices, embeds imperceptible watermarks into audio and video, and detects deepfakes across all three modalities with enterprise-grade accuracy.
What is it
Resemble AI is the only platform offering end-to-end generative AI security across three pillars: Generate (voice synthesis and cloning), Verify (imperceptible multimodal watermarking), and Detect (real-time deepfake detection for audio, image, and video). Built on proprietary models trained from scratch—including the open-source Chatterbox Turbo TTS and the 3-billion-parameter DETECT-3B Omni detector—it serves enterprises, developers, and media organizations that need both cutting-edge synthetic media creation and robust protection against its misuse.
What it can do
Users can clone any voice from 5–10 seconds of reference audio, generate expressive speech in 100 languages with sub-200ms latency, and control emotional delivery down to paralinguistic tags like [laugh] and [cough]. The platform protects content with PerTh watermarking that survives compression, editing, and re-encoding, while DETECT-3B Omni identifies synthetic media at 98.1% accuracy against 160+ generative models in under 300 milliseconds. Additional capabilities include real-time meeting protection for Zoom and Teams, biometric speaker verification, forensic explainability reports, and air-gapped on-premise deployment.
Who is it for
Enterprise security teams, media production studios, game developers, call center operators, and government agencies that need to both create and secure synthetic media. It is especially valuable for organizations facing regulatory pressure from the EU AI Act, healthcare providers requiring HIPAA-aligned deployments, and any team that cannot risk deepfake-enabled fraud, disinformation, or IP theft.
Key Features
Chatterbox Turbo TTS & Zero-Shot Voice Cloning
Generate human-quality speech from text or clone any voice with just a few seconds of reference audio. Chatterbox Turbo is a 350-million-parameter model optimized for voice agents, delivering sub-200ms latency with a one-step decoder and native paralinguistic tags. It supports 100 languages and outperforms ElevenLabs in blind listener evaluations, all while being available as an MIT-licensed open-source model for self-hosted deployment.
Emotion & Paralinguistic Control
Adjust vocal delivery from monotone to dramatically expressive with a single parameter—the first open-source model to offer emotion exaggeration control. Add non-speech sounds like [cough], [laugh], and [chuckle] directly in text prompts, enabling nuanced, theatrical, and naturally human performances without post-processing.
PerTh Multimodal Watermarking
Embed imperceptible, psychoacoustically masked watermarks into audio, video, and images at the moment of creation. PerTh constrains watermarks to speech-relevant frequencies, making removal without audible corruption extremely difficult. It survives MP3 compression, re-encoding, noise addition, pitch shifting, and time-stretching—providing permanent content provenance that aligns with EU AI Act Article 50 and C2PA standards.
DETECT-3B Omni Deepfake Detection
Detect synthetic audio, images, and video through a single unified 3-billion-parameter architecture. Ranked #1 on the Speech DeepFake Arena benchmark with 98.1% accuracy, the model achieves zero-day coverage for new generative models in under an hour. Every verdict completes in under 300 milliseconds, making it suitable for real-time streaming and high-volume asynchronous analysis alike.
Use Cases
AI voiceover and narration for media production
Studios and content creators use Chatterbox Turbo to generate professional voiceovers in multiple languages without hiring voice actors for every variant. Zero-shot cloning lets producers resurrect historical voices or maintain brand-voice consistency across thousands of dynamic personalized messages, while Resemble Fill enables rapid script changes without re-recording sessions.
Enterprise deepfake threat defense
Security teams deploy DETECT-3B Omni to scan inbound audio, video, and image files for synthetic media before they enter workflows or reach decision-makers. Financial institutions use it to catch vishing attempts and forged executive voice commands, while news organizations verify user-generated content before publication—preventing the spread of AI-generated disinformation.
Content provenance and authenticity verification
Media companies, stock-photo platforms, and record labels watermark every asset at creation with PerTh, ensuring that even after compression, editing, and redistribution, the origin and AI-generated status of content remains verifiable. This provenance chain protects intellectual property and satisfies emerging regulatory requirements for transparent labeling of synthetic media.
Real-time video call protection
Organizations handling sensitive negotiations, financial approvals, or remote hiring integrate Resemble Meetings with their conferencing stack. The system alerts participants the moment synthetic audio enters a live call, preventing the type of real-time deepfake fraud that has already resulted in hundreds of millions of dollars in documented losses.
Pricing plans
Frequently Asked Questions
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