ElevenLabs SDKs & Libraries: Official & Community Tools (2026)

SDKs overview

ElevenLabs offers Software Development Kits (SDKs) and community-contributed libraries to facilitate interaction with its AI audio generation platform. These SDKs are designed to streamline the development process by handling common tasks such as API key management, request serialization, response deserialization, and error handling. Developers can leverage these tools to integrate ElevenLabs's core products, including text-to-speech, speech-to-speech, voice cloning, and dubbing, into various applications.

The primary benefit of using an SDK over direct API calls is the reduction in boilerplate code. SDKs typically provide idiomatic interfaces for specific programming languages, aligning with established language conventions and making development more intuitive. This approach allows developers to focus on application logic rather than the intricacies of HTTP requests and API specifications, as detailed in the ElevenLabs API reference documentation.

Official SDKs are maintained directly by ElevenLabs, ensuring compatibility with the latest API features and updates. Community libraries, while not officially supported, often extend functionality or offer interfaces in additional programming languages, demonstrating the platform's extensibility. For developers building on a platform like Google Firebase, the use of an SDK can simplify server-side interactions with ElevenLabs services.

Official SDKs by language

ElevenLabs provides official SDKs for popular programming languages, ensuring robust and up-to-date integration experiences. These SDKs are the recommended method for interacting with the ElevenLabs API due to their direct support and adherence to API changes. The official SDKs cover key functionalities such as converting text to audio, synthesizing speech from existing audio, and managing voice profiles.

Each SDK is designed to reflect the nuances of its respective language ecosystem, offering developers methods and classes that feel natural to use. For detailed method signatures and parameter explanations, developers should consult the official ElevenLabs documentation for the specific SDK.

Installation

Installing an ElevenLabs SDK is typically a straightforward process using standard package managers for each language. Prior to installation, ensure that the appropriate language runtime (Python or Node.js) is installed on your system. API keys are required for authentication with the ElevenLabs API, which can be found in your ElevenLabs account settings.

Python SDK Installation

The Python SDK is distributed via PyPI (Python Package Index). To install it, open your terminal or command prompt and execute the following command:

pip install elevenlabs

After installation, you can import the elevenlabs package into your Python scripts. It is generally recommended to perform installations within a virtual environment to manage dependencies effectively. Further details on Python package management can be found in the Python documentation on virtual environments.

Node.js SDK Installation

The Node.js SDK is available through npm (Node Package Manager). To install it, navigate to your project directory in the terminal and run:

npm install @elevenlabs/node

This command adds the @elevenlabs/node package to your project's dependencies. You can then import it into your JavaScript or TypeScript files. Ensure you have Node.js and npm installed before attempting this step. The official npm install guide provides comprehensive usage information.

Quickstart example

This section provides a basic quickstart example demonstrating how to use the ElevenLabs Python SDK to generate speech from text. Before running this example, ensure you have installed the Python SDK and set your ElevenLabs API key as an environment variable or directly in the code (for development purposes).

Python Text-to-Speech Quickstart

This example synthesizes text into an audio file using a specified voice.

from elevenlabs import generate, play, set_api_key
import os

# Set your API key from an environment variable or directly
# It is recommended to use environment variables for security
set_api_key(os.getenv("ELEVENLABS_API_KEY"))

# Define the text to be converted to speech
text_to_synthesize = "Hello from ElevenLabs! This is a test of our text-to-speech capabilities."

# Generate audio from the text using a specific voice_id (e.g., 'Antoni')
# You can find available voice_ids in the ElevenLabs documentation or your account.
audio = generate(
    text=text_to_synthesize,
    voice="Antoni", # Example voice, replace with your desired voice_id
    model="eleven_monolingual_v1" # Example model, refer to docs for available models
)

# Play the generated audio (requires a media player compatible with your OS)
play(audio)

# Optionally, save the audio to a file
with open("output_speech.mp3", "wb") as f:
    f.write(audio)

print("Audio generated and saved as output_speech.mp3")

To run this code, save it as a .py file, ensure your ELEVENLABS_API_KEY environment variable is set, and then execute it using python your_script_name.py. The script will generate speech and attempt to play it, then save it as output_speech.mp3.

Community libraries

Beyond the officially supported SDKs, the ElevenLabs developer community has contributed various libraries and tools that extend functionality or provide integrations for other languages and frameworks. While not directly supported by ElevenLabs, these community efforts can offer additional options for integration, demonstrating the flexibility and open nature of the ElevenLabs API.

When considering a community-contributed library, it is important to evaluate its maintenance status, documentation, and the level of community support. Developers should review the source code and issue trackers to assess reliability and compatibility with current ElevenLabs API versions. These libraries often become available on platforms like GitHub, where developers can contribute or report issues.

Examples of common types of community contributions include:

• Wrappers for other languages: Libraries that provide an interface to the ElevenLabs API in languages without an official SDK, such as Go, Ruby, or C#.
• Framework integrations: Plugins or modules designed to integrate ElevenLabs services seamlessly into popular web frameworks (e.g., Django, Flask, Express.js).
• Specialized tools: Utilities that automate specific tasks, like batch processing of text files for speech generation or advanced voice management tools.

Developers are encouraged to explore community repositories and forums for the latest community contributions. Always ensure that any third-party library adheres to security best practices, particularly when handling API keys or sensitive data, as outlined in the ElevenLabs authentication guide.