Bulbul | Sarvam API Docs

Model Variants

Bulbul-v2

Production-ready model with superior voice quality, emotion control, and multi-language support.

Bulbul-v2

Overview

Bulbul-v2 is our flagship text-to-speech model, specifically designed for Indian languages and accents. It excels in:

Natural-sounding speech with human-like prosody
Multiple voice personalities
Multi-language and code-mixed text support
Real-time synthesis capabilities
Fine-grained control over pitch, pace, and loudness

Features

Voice Control

Fine-grained control over pitch (-1 to 1), pace (0.3 to 3), and loudness (0.1 to 3)

Sample Rate Options

Multiple sample rates: 8kHz, 16kHz, 22.05kHz, 24kHz

Text Preprocessing

Smart normalization of numbers, dates, and mixed-language text

Language Support

Support for 11 Indian languages with BCP-47 codes

Key Capabilities

Basic Usage

Voice Control

Sample Rate

Text Preprocessing

Convert text to speech with default settings. This is the simplest way to get started with the Bulbul API.

Python

JavaScript

cURL

1 from sarvamai import SarvamAI
2 from sarvamai.play import play, save
3 
4 client = SarvamAI(
5     api_subscription_key="YOUR_API_SUBSCRIPTION_KEY"
6 )
7 
8 response = client.text_to_speech.convert(
9     text="Hello, how are you today?",
10     target_language_code="en-IN",
11     enable_preprocessing=True
12 )
13 play(response)
14 
15 # Save the response to a file
16 save(response, "output.wav")