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What is Pipecat?

Pipecat is a framework designed for building real-time multimodal AI agents. It provides a flexible pipeline architecture that makes it easy to integrate various components like speech recognition, language models, and text-to-speech (TTS) systems.

Pipecat has a built-in LMNT integration, making it easy to create an end-to-end conversational pipeline around LMNT. In just a few minutes, you can set up an agent using one of your unique voice clones.

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Key Features for TTS Integration

• Real-time Voice Processing: Pipecat is optimized for low-latency voice interactions, making it ideal for natural-sounding TTS applications. Pipecat processes responses as they stream in and supports interruption, creating fluid, natural interactions without noticeable delays.
• Modular Pipeline Architecture: Easily integrate LMNT TTS with a variety of other services. Pipecat makes it easy to mix-and-match with a number of integrated LLMs and STT providers, so you can build exactly what you need.
• Cloud Deployment: Deploy your TTS-enabled agents to Pipecat Cloud for scalable, production-ready voice applications. With this cost-effective managed solution, you can deploy in a manner of minutes.
• WebRTC Support: Built-in support for real-time audio streaming via WebRTC
• Multimodal Agents: Support for combining voice, video, and other modalities in a single agent, enabling rich interactive experiences

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Common Use Cases

• Voice Assistants: Create conversational AI assistants with natural-sounding voices, including clones
• Interactive Voice Response (IVR): Build automated phone systems with dynamic voice responses
• Voice-Enabled Applications: Add voice capabilities to web and mobile applications
• Multilingual Voice Agents: Support multiple languages and accents