Best AI Voice Agents for Amazon Nova
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Compare the Top AI Voice Agents that integrate with Amazon Nova as of July 2026
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This a list of AI Voice Agents that integrate with Amazon Nova. Use the filters on the left to add additional filters for products that have integrations with Amazon Nova. View the products that work with Amazon Nova in the table below.
What are AI Voice Agents for Amazon Nova?
AI voice agents are advanced virtual assistants powered by artificial intelligence that can understand, process, and respond to spoken language in real time. They use natural language processing (NLP) and machine learning to engage in human-like conversations, handling customer service, scheduling, and various automated tasks. These agents can integrate with business systems, providing seamless interactions for users across multiple platforms such as phone calls, chat applications, and smart devices. By continuously learning from interactions, they improve their accuracy and efficiency over time, reducing the need for human intervention. AI voice agents enhance productivity, streamline workflows, and offer businesses a scalable solution for handling customer inquiries and operations. Compare and read user reviews of the best AI Voice Agents for Amazon Nova currently available using the table below. This list is updated regularly.
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Vision Agents
Stream
Vision Agents is an open source Python framework for building low-latency voice and video AI agents with any model. It lets developers plug in LLM, speech, and vision models from more than 25 providers and ship real-time agents for telehealth, voice support, live coaching, video analysis, interactive avatars, security monitoring, sports commentary, and other multimodal applications. It is designed to help teams build agents that can listen, speak, see, process media, call tools, and respond in real time while running on Stream’s global edge network with sub-500ms latency. Developers can build a first agent in minutes, using a small Python setup with Gemini Realtime, OpenAI, Deepgram, ElevenLabs, Stream, or other supported providers. Vision Agents supports both real-time speech-to-speech models and custom STT/LLM/TTS pipelines, giving teams either the fastest path to a working voice agent or full control over speech recognition, language reasoning, text-to-speech, etc.Starting Price: Free -
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Amazon Nova Sonic
Amazon
Amazon Nova Sonic is a state-of-the-art speech-to-speech model that delivers real-time, human-like voice conversations with industry-leading price performance. It unifies speech understanding and generation into a single model, enabling developers to create natural, expressive conversational AI experiences with low latency. Nova Sonic adapts its responses based on the prosody of input speech, such as pace and timbre, resulting in more natural dialogue. It supports function calling and agentic workflows to interact with external services and APIs, including knowledge grounding with enterprise data using Retrieval-Augmented Generation (RAG). It provides robust speech understanding for American and British English across various speaking styles and acoustic conditions, with additional languages coming soon. Nova Sonic handles user interruptions gracefully without dropping conversational context and is robust to background noise. -
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Amazon Nova 2 Sonic
Amazon
Nova 2 Sonic is Amazon’s real-time speech-to-speech model designed to deliver natural, flowing voice interactions without relying on separate systems for text and audio. It combines speech recognition, speech generation, and text processing in a single model, enabling smooth, human-like conversations that can shift effortlessly between voice and text. With expanded multilingual support and expressive voice options, it produces responses that sound more lifelike and contextually aware. Its one-million-token context window allows for long, continuous interactions without losing track of prior details. It supports asynchronous task handling, meaning users can continue speaking, change topics, or ask follow-up questions while background tasks, such as searching for information or completing a request, continue uninterrupted. This makes voice experiences feel more fluid and less bound by traditional turn-based dialog constraints.
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