Bulbul

Bulbul v3 is our latest text-to-speech model, specifically designed for Indian languages and accents. It features improved audio quality, 30+ speaker voices, and supports up to 2500 characters per request.

Key Features

30+ Speaker Voices

Wide selection of natural-sounding voices including Shubh, Aditya, Ritu, Simran, Anand, Roopa, Priya, and more.

Extended Character Limit

Support for up to 2500 characters per request for longer content generation.

Sample Rate Options

Multiple sample rates: 8kHz, 16kHz, 22.05kHz, 24kHz (default). Higher rates (32kHz, 44.1kHz, 48kHz) available in bulbul:v3 REST API only.

Language Support

Support for 11 languages (10 Indian + English) with BCP-47 codes. The target language code is primarily used by the pre-TTS text normalization model.

Natural Prosody

Human-like speech patterns with natural intonation and emotional expression.

Pace Control

Adjustable speech speed from 0.5x to 2.0x for customized delivery.

Language Support

Bulbul v3 supports the following Indian languages:

Hindi (hi-IN), Bengali (bn-IN), Tamil (ta-IN), Telugu (te-IN), Gujarati (gu-IN), Kannada (kn-IN), Malayalam (ml-IN), Marathi (mr-IN), Punjabi (pa-IN), Odia (od-IN), English (en-IN)

Available Speakers

Bulbul v3 offers 30+ speaker voices:

Speakers: Shubh (default), Aditya, Ritu, Priya, Neha, Rahul, Pooja, Rohan, Simran, Kavya, Amit, Dev, Ishita, Shreya, Ratan, Varun, Manan, Sumit, Roopa, Kabir, Aayan, Ashutosh, Advait, Anand, Tanya, Tarun, Sunny, Mani, Gokul, Vijay, Shruti, Suhani, Mohit, Kavitha, Rehan, Soham, Rupali

Use the speaker parameter to select specific voices for your use case. Each speaker has unique characteristics suitable for different applications.

Key Capabilities

Basic Usage

Speaker Selection

Sample Rate Control

Convert text to speech with default settings. This is the simplest way to get started with Bulbul v3.

1 from sarvamai import SarvamAI
2 from sarvamai.play import play, save
3 
4 client = SarvamAI(
5     api_subscription_key="YOUR_SARVAM_API_KEY"
6 )
7 
8 response = client.text_to_speech.convert(
9     text="Hello, how are you today?",
10     target_language_code="en-IN",
11     model="bulbul:v3"
12 )
13 
14 # Play the audio
15 play(response)
16 
17 # Save the response to a file
18 save(response, "output.wav")

Next Steps

Developer quickstart

Learn how to integrate the Bulbul v3 API within your application.

API Reference

Complete API documentation for text to speech endpoints.

Cookbook

Step-by-step tutorial for text-to-speech implementation.

Key Features

30+ Speaker Voices

Wide selection of natural-sounding voices including Shubh, Aditya, Ritu, Simran, Anand, Roopa, Priya, and more.

Extended Character Limit

Support for up to 2500 characters per request for longer content generation.

Sample Rate Options

Multiple sample rates: 8kHz, 16kHz, 22.05kHz, 24kHz (default). Higher rates (32kHz, 44.1kHz, 48kHz) available in bulbul:v3 REST API only.

Language Support

Support for 11 languages (10 Indian + English) with BCP-47 codes. The target language code is primarily used by the pre-TTS text normalization model.

Natural Prosody

Human-like speech patterns with natural intonation and emotional expression.

Pace Control

Adjustable speech speed from 0.5x to 2.0x for customized delivery.

Language Support

Bulbul v3 supports the following Indian languages:

Available Speakers

Bulbul v3 offers 30+ speaker voices:

Use the speaker parameter to select specific voices for your use case. Each speaker has unique characteristics suitable for different applications.

Key Capabilities

Basic Usage

Speaker Selection

Sample Rate Control

Convert text to speech with default settings. This is the simplest way to get started with Bulbul v3.

1 from sarvamai import SarvamAI
2 from sarvamai.play import play, save
3 
4 client = SarvamAI(
5     api_subscription_key="YOUR_SARVAM_API_KEY"
6 )
7 
8 response = client.text_to_speech.convert(
9     text="Hello, how are you today?",
10     target_language_code="en-IN",
11     model="bulbul:v3"
12 )
13 
14 # Play the audio
15 play(response)
16 
17 # Save the response to a file
18 save(response, "output.wav")

Next Steps

Developer quickstart

Learn how to integrate the Bulbul v3 API within your application.

API Reference

Complete API documentation for text to speech endpoints.

Cookbook

Step-by-step tutorial for text-to-speech implementation.

1	from sarvamai import SarvamAI
2	from sarvamai.play import play, save
3
4	client = SarvamAI(
5	api_subscription_key="YOUR_SARVAM_API_KEY"
6	)
7
8	response = client.text_to_speech.convert(
9	text="Hello, how are you today?",
10	target_language_code="en-IN",
11	model="bulbul:v3"
12	)
13
14	# Play the audio
15	play(response)
16
17	# Save the response to a file
18	save(response, "output.wav")