# Text-to-Speech Streaming

Deepgram's Text-to-Speech WebSocket interface provides a real-time, interactive solution for converting streaming text to speech. This API is ideal for applications that require immediate audio feedback and continuous data streams, such as live customer service chatbots and interactive voice response (IVR) systems. By leveraging WebSocket technology, our API ensures low-latency communication and efficient handling of concurrent connections, delivering a seamless and responsive user experience.

## Getting Started with WebSockets

To begin using Deepgram's Text-to-Speech WebSocket interface, there are several pages that provide information on getting started. For further assistance, please refer to the following pages:

- [Getting Started](/guides/aura-streaming-text-to-speech)
- [Feature Overview](/guides/aura-tts-streaming-feature-overview)
- [API Reference](/guides/self-hosted-deployments-2-reference-text-to-speech-speak-streaming)

## Related pages

- [Amazon SageMaker](./amazon-sagemaker-index.md)
- [Aura](./aura-index.md)
- [Changelog](../changelog.md)
- [Custom Vocabulary](./custom-vocabulary-index.md)
- [Deepgram's Docs](../index.md)
- [Deployment](./deployment-index.md)
- [Docker/Podman](./docker-podman-index.md)
- [Features](./features-index.md)
- [Flux TTS](./flux-tts-index.md)
- [Formatting](./formatting-index.md)
- [Getting Started](./aura-streaming-text-to-speech.md)
- [Feature Overview](./aura-tts-streaming-feature-overview.md)
- [Template Apps](./aura-tts-streaming-template-apps.md)
- [Control Messages](./aura-control-messages.md)

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