Monday, December 1, 2025

Deepgram Integrates Low-Latency STT and TTS into Amazon Connect

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Deepgram, a leading real-time Voice AI platform, announced that its enterprise-grade speech-to-text (STT) and text-to-speech (TTS) models are now integrated with Amazon Connect and Amazon Lex. This integration enables real-time transcription, low-latency voice bots, and analytics all within customers’ existing AWS environments.

With this launch, organizations can now deploy Deepgram’s voice capabilities natively within Amazon Lex for natural conversational experiences, and pair them with Amazon Connect to deliver real-time transcription, quality monitoring, and automated workflows without requiring heavy custom engineering for customer-experience scenarios.

Real-time STT and TTS support in Lex offers low-latency, natural-sounding voice interactions, capable of understanding conversational speech even in noisy or high-variance environments. This integration preserves data residency by allowing deployment within a customer’s AWS environment, and simplifies procurement through the AWS Marketplace.

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In addition to improved conversational capabilities, the integration supports live transcription and analytics within Amazon Connect enabling use cases such as live coaching, compliance monitoring, automated call summaries, and other workflow automations based on voice data.

Commenting on the launch, Deepgram’s CEO and Co-Founder said: “Our work with Amazon Connect expands what’s possible for contact centers and enterprise voice applications on AWS. Together we are enabling customers to achieve higher accuracy, lower latency, and greater deployment flexibility with Deepgram’s advanced speech technology, all seamlessly integrated within AWS.”

From AWS, the VP of Amazon Connect added: “At AWS, we’re continuously innovating to help businesses create exceptional customer experiences. Integrating Deepgram‘s advanced speech technology with Amazon Connect enables organizations to build voice interactions that understand context and respond with appropriate pace and tone, transforming automated interactions into opportunities for deeper customer relationships.”

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