Introduction
VoxLabs is a next-generation voice synthesis engine designed for developers who need emotional control and low-latency performance. Unlike traditional TTS, VoxLabs uses advanced neural vocoders to generate speech that captures the subtleties of human expression.
Emotional Intelligence
Control pitch, speed, and energy to convey specific moods.
Zero-Shot Cloning
Clone voices with just 30 seconds of reference audio.
Streaming API
Real-time audio generation for conversational AI.
Privacy First
Voice data is encrypted and isolated.
Installation
Install our official Python SDK to get started immediately.
pip install voxlabs-sdkQuick Start
Generate your first audio file in less than 5 minutes.
from voxlabs import VoxClient
client = VoxClient(api_key="your_api_key")
# Generate speech
audio = client.tts.create(
text="Hello! I can speak with real emotion.",
emotion="happy",
voice_id="en-us-1"
)
# Save to file
audio.save("hello.mp3")Authentication
All API requests must include your API key in the Authorization header.
Authorization: Bearer YOUR_API_KEYEndpoints
/v1/tts/v1/voices/v1/voices/cloneError Handling
VoxLabs uses standard HTTP status codes to indicate the success or failure of requests.
Bad Request
Invalid input parameters or audio format.
Unauthorized
Missing or invalid API key.
Rate Limit Exceeded
You have made too many requests. Please wait.
Voice Cloning Guide
Our cloning engine requires high-quality audio samples to create accurate voice models. For best results, upload at least 30 seconds of clean speech without background noise.
Requirements
- • Format: WAV or MP3 (44.1kHz+)
- • Duration: 30s - 5min
- • Content: Natural, flowing speech
- • Noise: Minimal background noise/reverb
Emotion Control
You can direct the emotional tone of the generated speech using the emotion parameter.
Best Practices
Cache Generated Audio
TTS generation is computationally expensive. Always cache results for identical text/voice combinations.
Streaming for Long Text
For long paragraphs, use the streaming endpoint to play audio immediately as it's generated, reducing perceived latency.