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Sarvam AI (TTS)

Add Sarvam Bulbul text-to-speech to Bolna voice agents for natural Indian language voices. 16 native speakers across Hindi, Tamil, Telugu, Kannada, and 7 more languages.

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At a glance

How Sarvam AI (TTS) fits in the stack

Best for

Natural delivery, tone, and response speed on live calls.

Use this layer when

You care about voice quality, expressiveness, or low-latency playback.

Connects to

LLM output upstream and the phone network downstream.

Voice Stack

Text-to-speech is the speaking layer

Text-to-speech is the speaking layer

This provider turns the agent’s response into audio the caller hears. It affects brand perception, caller comfort, and how quickly the next utterance can begin.

TelephonyPhone Network
→
STTListener
→
LLMReasoning
→
TTSVoice
→
ToolsActions

This page focuses on where Sarvam AI (TTS) fits in a production voice stack. For full setup steps, credentials, and API details, use the documentation link above.

Overview

Sarvam AI's Bulbul text-to-speech model produces voices that sound like native speakers of Indian languages, with natural rhythm and intonation rather than an English voice reading Indian text.

With Bolna's Sarvam integration, your voice agents speak across 10 Indian languages plus Indian English, with pronunciation that handles Indian names, places, and domain terms correctly.

Models

Bolna offers bulbul:v3, Sarvam's current text-to-speech model. Earlier generations have been retired by Sarvam and are no longer selectable.

Voices

Bolna serves 16 Bulbul voices - nine female and seven male - and the same set is available for every supported language, so you choose by tone rather than by language:

  • Conversational - Priya, Ritu, Kavya, Simran, Sumit
  • Sales and support - Rahul, Shubh
  • Business - Amit, Ishita
  • News - Ratan, Ashutosh, Shreya
  • Other - Pooja (assistant), Manan (automation), Shruti (entertainment), Suhani (audiobooks)

Supported Languages

English (India), Hindi, Bengali, Tamil, Telugu, Gujarati, Kannada, Malayalam, Marathi, Punjabi, and Odia.

Features & Use Cases

Native-Sounding Indian Voices
Voices are trained on native speakers, so they carry the right accent and cadence instead of sounding translated.

Handles Indian Names and Terms
Pronounces Indian names, place names, and domain-specific jargon correctly where English-first models mispronounce them.

Adjustable Pace
Speaking rate is tunable per agent, so you can slow an agent down for older callers or speed it up for routine confirmations.

Real-Time Streaming
Streaming synthesis lets agents start speaking before the full response is generated, keeping conversations flowing.

Use Case: All-India Customer Support
Answer in the caller's own language with a voice that sounds local, not imported.

Use Case: Reaching Rural Markets
Speak to customers outside metros in the language and accent they actually use day to day.

Use Case: Regional Banking Services
Deliver financial information in local languages with a voice callers find easy to follow.

Browse this layer

Keep exploring the voice stack

Browse

Text-to-Speech

Text-to-speech turns your agent responses into spoken audio. Voice quality shapes how callers perceive your brand. Flat, robotic speech kills trust while natural, expressive voices build it. Bolna integrates with the fastest TTS providers so responses sound human and arrive without awkward pauses.

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Telephony

Telephony providers connect your voice agents to the phone network so they can make and receive real calls. Bolna supports managed integrations with major carriers as well as bring-your-own-carrier via SIP trunking, giving you full control over call routing, number provisioning, and cost.

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Large Language Models

The LLM is the brain of your voice agent. It understands what callers say and decides how to respond. Bolna lets you swap between models like GPT-4o, Claude, and DeepSeek without changing your agent configuration, so you can optimize for speed, cost, or reasoning depth.

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Speech-to-Text

Speech-to-text converts what callers say into text that your LLM can process. Transcription accuracy and latency directly affect how natural a conversation feels. Bolna supports streaming STT providers optimized for telephony audio, including specialized models for Indian languages.

Browse

Tools & Workflows

Tools let your voice agents take action during a call, not just talk. Book a calendar slot, look up an order in Shopify, push a lead into your CRM, or trigger a multi-step automation in Zapier. These integrations turn voice agents from answering machines into workflow engines.

See where Sarvam AI (TTS) fits in your production workflow

Use the demo to walk through provider selection, stack tradeoffs, and the exact workflow you want Bolna to automate.