elevenlabs/elevenlabs-python

What it solves

This library provides a programmatic way for developers to integrate ElevenLabs' high-fidelity AI voices into their applications. It simplifies the process of converting text to speech, cloning voices, and building real-time interactive voice agents without needing to manually handle raw HTTP requests.

How it works

The SDK acts as a wrapper around the ElevenLabs API, offering both synchronous and asynchronous clients. It provides specialized modules for:

• Text-to-Speech: Converting text into audio using various models (like Eleven v3 or Flash v2.5) with options for streaming audio in real-time.
• Voice Cloning: Creating new voice profiles from uploaded audio samples.
• Conversational AI: Tools to build interactive agents that can handle real-time audio input/output and execute custom Python functions (tools).
• Speech Engine: A server-side framework that allows a developer's own server to act as a WebSocket endpoint, receiving transcripts from ElevenLabs and streaming LLM responses back for synthesis.

Who it’s for

Developers and creators who want to add lifelike AI speech, voice cloning, or real-time conversational AI agents to their software projects.

Highlights

• Multiple Model Options: Support for various models optimized for different needs, such as ultra-low latency (Flash) or high dramatic performance (v3).
• Real-time Streaming: Ability to stream audio as it is generated to reduce perceived latency.
• Voice Cloning: Instant voice creation from audio samples.
• Agentic Capabilities: Support for building interactive agents with custom tool registration for external data fetching or calculations.
• LLM Integration: The Speech Engine automatically detects and parses stream formats from OpenAI, Anthropic, and Google Gemini.