Multi-Capability
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Sarvam AI

Full Indian language AI stack for Bolna voice agents. LLM, speech-to-text, and text-to-speech tuned for Hindi, Tamil, Telugu, Kannada, and 10+ languages.

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At a glance

How Sarvam AI fits in the stack

Best for

Reasoning, policy handling, tool use, and response generation.

Use this layer when

You want to tune quality, cost, latency, or function-calling behavior.

Connects to

Transcribed caller input upstream and voice or actions downstream.

Voice Stack

The LLM is the reasoning layer

The LLM is the reasoning layer

This provider decides how the agent interprets intent, selects next actions, calls tools, and formulates responses. It is the decision engine inside the voice stack.

TelephonyPhone Network
STTListener
LLMReasoning
TTSVoice
ToolsActions

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

Overview

Sarvam AI is an AI platform built custom for India. It natively understands and speaks 10+ Indian languages (like Hindi, Tamil, Telugu, and Kannada) with perfect regional accents, making your voice agents sound like real locals.

With Sarvam, you get everything you need in one place: smart language models (LLMs) to understand Indian culture, Speech-to-Text (STT) that handles heavy accents perfectly, and Text-to-Speech (TTS) voices that sound entirely human.

Capabilities

1. Language Model (LLM)

Instead of just translating English, Sarvam’s AI is trained directly on Indian languages. It easily understands heavy regional accents, cultural references, and common mixed languages like Hinglish.

Supported Languages: Hindi, Tamil, Telugu, Kannada, Malayalam, Bengali, Marathi, Gujarati, Punjabi, Odia, and more.

2. Speech-to-Text (STT)

Sarvam's STT (Saarika) easily transcribes over 10 Indian languages. It cuts through typical background noise and understands heavy regional accents perfectly.

Key Features:

  • Fast processing for smooth conversations
  • Easily understands regional accents
  • Gets mixed languages right (Hinglish, Tanglish, etc.)
  • Works great even with background noise

3. Text-to-Speech (TTS)

Sarvam's TTS (Bulbul) gives you voices that don't sound like robots. They sound exactly like real, native speakers with natural tone and emotion.

Available Voices:

  • Many different voices for each language
  • Different ages and genders
  • Perfect regional accents
  • Natural, human-like rhythm and tone

Features & Use Cases

Truly Understands Indian Languages
Built directly for Indian languages so conversations feel natural, local, and culturally aware.

Code-Switching Ready
Easily understands when callers mix English with their regional languages, like Hinglish or Tanglish.

Handles Heavy Accents
The AI is specifically trained to accurately understand all types of Indian accents and dialects.

Natural, Authentic Voices
Voices sound like real people, not clumsy AI translations, keeping callers comfortable and engaged.

Built for Real Indian Phone Calls
Works smoothly on Indian networks without any lag or awkward delays during the conversation.

Use Case: All-India Customer Support
Easily run support lines that automatically recognize the caller's language and respond perfectly in it.

Use Case: Reaching Rural Markets
Connect directly with customers outside main cities by having voice agents speak their exact local dialects.

Use Case: Regional Banking Services
Easily meet rules requiring financial help in local languages while giving customers a much friendlier experience.

Browse this layer

Keep exploring the voice stack

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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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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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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.

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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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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 fits in your production workflow

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