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ElevenLabs Python Library

A Python SDK for calling the ElevenLabs API, distributed in a public repository under the MIT license.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

ElevenLabs Python Library — OpenViST project profile in AI APIs & Platforms.
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Understand the project

Practical overview

When it fits

Use it when a Python project needs a programmatic client for ElevenLabs text-to-speech, voice, streaming or conversational AI capabilities.

Who it is for

  • Python developers integrating ElevenLabs into applications
  • Teams building server-side voice generation services
  • Developers creating conversational AI clients or automated audio workflows

Documented uses

  • Generate speech from text
  • Select and inspect available voices
  • Create a cloned voice from supplied audio files
  • Stream generated audio for local playback or byte-level processing
  • Make asynchronous API calls
Before you choose

Requirements & limits

The repository is publicly accessible, marked active and licensed under MIT. The documented voice-cloning, streaming and conversational examples initialize the client with an API key.

  • Python is the documented implementation language.
  • The SDK supports both regular and asynchronous clients.
  • The documented model options differ in language coverage, latency, stability, accent accuracy and delivery style.
  • Streaming is available for real-time generation and manual byte processing.
  • ElevenAgents examples include a default audio interface and custom asyncio event-loop support.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Install the SDK and generate speech

Set up the Python package and call text-to-speech with a selected voice, model and output format.

Before you start

  • A Python environment
  • The ElevenLabs package
  • The client configuration shown in the documented example

Steps

  1. Install the package with the command below.

    Documented command
    pip install elevenlabs

  2. Initialize the ElevenLabs client as shown in the README.

  3. Call text_to_speech.convert with text, voice ID, model ID and output format.

  4. Pass the returned audio to the documented play helper for local playback.

Expected outcome

A Python application receives generated audio and can play it locally.

Guide limitations

  • The example does not document deployment, storage or downstream audio handling.
  • The documented voice, model and output-format values are example parameters.
Documentation 1 ↗
Source-based practical guide

Create a real-time conversational session

Initialize an ElevenAgents conversation with the documented audio interface and session lifecycle.

Before you start

  • The ElevenLabs Python package
  • An ElevenLabs client configured with an API key
  • An agent ID
  • The documented default audio interface

Steps

  1. Create an ElevenLabs client with an API key.

  2. Create DefaultAudioInterface for real-time audio input and output.

  3. Construct Conversation with the client, agent ID, authentication setting and audio interface.

  4. Call start_session() and later end_session() to control the conversation.

Expected outcome

The application starts an interactive audio conversation and can end the session through the SDK.

Guide limitations

  • The example does not document agent creation or configuration.
  • The session uses the documented default audio interface; custom audio behavior is not specified here.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
30 September 2026
Original website title
elevenlabs/elevenlabs-python · Official homepage title · retained in its source language
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