Production-validated SDK enables CX platforms to embed multilingual voice directly into live customer conversations
Krisp announced the launch of its Voice Translation SDK, enabling CX platform developers to embed real-time multilingual voice-to-voice translation into live customer conversations at scale. The technology has been live in production CX environments since 2025 as part of Krisp’s Call Center AI platform, operating in real customer conversations globally before its SDK release.
Production-validated SDK enables CX platforms to embed multilingual voice directly into live customer conversations
Unlike text-based translation tools or offline speech processing, real-time voice translation must operate on continuous audio streams where latency, accuracy and conversational flow are tightly linked. Systems must recognize diverse accents, perform reliably in noisy environments and preserve natural turn-taking. Reducing latency too aggressively can compromise context and increase errors, while waiting too long can disrupt conversational flow.
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Krisp’s Voice Translation SDK is engineered to balance these competing constraints in live, two-way conversations. It supports any combination of over 60 languages and is optimized for synchronous interactions where clarity and conversational continuity are critical. This enables multilingual interactions within live conversations without requiring human interpreters, which is critical in customer experience environments where multilingual support must operate in real time.
“In global customer experience, every language barrier directly impacts speed and customer satisfaction,” said Davit Baghdasaryan, Co-Founder and CEO of Krisp. “Real-time voice translation has to work inside live production environments at scale. By making Voice Translation available as an SDK, we’re enabling CX platforms to embed multilingual voice directly into live systems. Removing language friction changes the economics of global support.”
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The SDK is available for Windows, macOS and Web developers, allowing integration into both native and browser-based applications. To improve performance in real-world conditions, Krisp applies local Noise Cancellation before audio is processed in the cloud, isolating the primary speaker and improving recognition accuracy. The SDK also supports custom vocabulary and domain-specific dictionaries, enabling teams to enforce terminology and maintain consistency across professional environments.
The Voice Translation SDK expands Krisp’s broader portfolio of Voice AI models for customer experience, including noise cancellation, accent conversion, and voice isolation for Voice AI Agents (VIVA) which improves false interruptions and turn-taking. Krisp powers voice communication across more than 200 million devices worldwide and processes over 80 billion minutes of voice conversations each month.
