ElevenLabs Python: An Overview
ElevenLabs Python is an official Python API designed to provide developers and creators with access to ElevenLabs' advanced text-to-speech software. This tool is renowned for delivering realistic, captivating voice outputs with just a few lines of code. It is a versatile solution suited for a variety of applications requiring natural-sounding speech synthesis.
📖 API & Documentation
For those interested in exploring the full capabilities of the API, comprehensive documentation is available through the HTTP API documentation. This resource provides detailed guidance and examples to help users get the most out of the ElevenLabs service.
⚙️ Installation
Getting started with ElevenLabs Python is straightforward. The installation can be completed quickly using pip:
pip install elevenlabs
🗣️ Usage and Features
Main Models
ElevenLabs Python supports two key models, catering to diverse needs:
-
Eleven Multilingual v2 (
eleven_multilingual_v2)- Known for its stability, language versatility, and precise accent generation.
- Supports 29 languages, making it suitable for a wide range of applications.
-
Eleven Turbo v2.5 (
eleven_turbo_v2_5)- Offers high-quality output with minimal latency, ideal for scenarios where speed is paramount.
- Compatible with 32 languages, providing extensive linguistic support.
For more detailed information regarding these models and additional ones, refer to the ElevenLabs Models documentation.
Simple Usage
Utilizing ElevenLabs Python is easy with minimal coding required. Here's a basic example of generating and playing speech:
from elevenlabs import play
from elevenlabs.client import ElevenLabs
client = ElevenLabs(api_key="YOUR_API_KEY")
audio = client.generate(
text="Hello! 你好! Hola! नमस्ते! Bonjour! こんにちは! مرحبا! 안녕하세요! Ciao! Cześć! Привіт! வணக்கம்!",
voice="Brian",
model="eleven_multilingual_v2"
)
play(audio)
🗣️ Voices and Customization
To view all available voices, users can simply call the voices() function. Customizations are possible by building a voice object with specific settings or retrieving default settings for a particular voice ID. Here’s a quick example:
from elevenlabs import Voice, VoiceSettings, play
from elevenlabs.client import ElevenLabs
client = ElevenLabs(api_key="YOUR_API_KEY")
audio = client.generate(
text="Hello! My name is Brian.",
voice=Voice(
voice_id='nPczCjzI2devNBz1zQrb',
settings=VoiceSettings(stability=0.71, similarity_boost=0.5, style=0.0, use_speaker_boost=True)
)
)
play(audio)
Voice Cloning and Streaming
ElevenLabs Python allows users to clone voices almost instantly with an API key, which is beneficial for creating personalized voice outputs. Additionally, the API supports real-time audio streaming as speech is being created, enhancing the immediacy of audio responses.
Asynchronous Capabilities
For asynchronous operations, developers can utilize the AsyncElevenLabs, facilitating non-blocking API interactions. This feature is particularly beneficial for applications requiring rapid data processing and responses.
Supported Languages
ElevenLabs Python accommodates a wide range of linguistic needs, supporting 32 languages and over 100 accents. This broad support ensures users can cater to various linguistic preferences and regional dialects.
Contribution and Community
Though the SDK itself is programmatically generated, contributions are welcome, especially to the README, enhancing documentation quality and user understanding. Engaging with the ElevenLabs community on platforms like Discord or Twitter can also provide additional support and ideas for leveraging the API effectively.
By offering robust, flexible text-to-speech capabilities, ElevenLabs Python stands out as a valuable tool for developers working on projects requiring high-quality, lifelike audio outputs.