Sarvam Voice Agent: Transforming Multilingual AI Communication in India (2025)

India, a nation renowned for its linguistic diversity, presents unique challenges for businesses and government agencies aiming to deliver accessible digital services. Sarvam AI, with its flagship sarvam voice agent, is transforming the way organizations interact with users by harnessing the power of AI-driven voice technologies. The sarvam voice agent enables seamless, natural conversations in a multitude of Indian languages, making digital communication more inclusive and efficient. As demand for multilingual support grows in a mobile-first, voice-preferred user base, Sarvam AI stands at the forefront, offering a robust platform for voice-enabled automation and customer engagement.

India officially recognizes 22 languages and boasts over 19,000 dialects, making linguistic inclusivity a formidable challenge in digital transformation. Traditional TTS (Text-to-Speech) and STT (Speech-to-Text) systems often fall short, struggling with code-mixed conversations and regional accents. Moreover, studies indicate that Indian users overwhelmingly prefer interacting with technology via voice, rather than text, especially in their native languages.

The sarvam voice agent directly addresses these gaps by supporting multi-lingual, code-mixed, and context-aware interactions. This not only bridges the linguistic divide but also empowers millions of users, from urban centers to rural villages, to access vital services such as banking, healthcare, and government schemes. With a focus on accurate Indic language support, the sarvam voice agent is a game-changer for customer service automation, business process optimization, and inclusive technology in India. For developers seeking to build similar solutions, integrating a

Voice SDK

can accelerate the deployment of real-time voice features in multilingual environments.

The sarvam voice agent leverages an advanced technology stack designed to handle the intricacies of India's language landscape. Let's delve into its core components:

Bulbul v1, Sarvam AI's TTS engine, is built for code-mixed, multi-lingual synthesis. It delivers consistent, natural-sounding voices across Indian languages, making it ideal for customer engagement and accessibility. If you're looking to implement similar TTS capabilities in your applications, consider exploring a

python video and audio calling sdk

for seamless integration with your backend.

1import sarvam
2from sarvam import TTS
3
4# Initialize Bulbul v1 TTS
5tts = TTS(model="bulbul-v1")
6
7# Generate speech for a code-mixed sentence
8text = "Namaste! Welcome to Sarvam Voice Agent. कैसे मदद कर सकता हूँ?"
9audio = tts.speak(text, language="hi-en")
10
11with open("output.wav", "wb") as f:
12    f.write(audio)
13

Saaras provides speech recognition with built-in translation and context awareness. It can automatically detect the spoken language, even in code-mixed scenarios, and accurately transcribe user input. For applications requiring robust voice-to-text and real-time communication, integrating a

Voice SDK

can enhance your product’s multilingual capabilities.

Shuka, the Saaras v1 audio decoder, integrates with Meta's Llama3-8B to deliver advanced audio-lingual capabilities. This enables nuanced understanding of spoken input and high-accuracy language modeling. Developers building conversational AI solutions can benefit from using a

phone call api

to streamline voice interactions across platforms.

The Sarvam 2B model is a small, open-source language model trained on meticulously cleaned synthetic and real-world data. This ensures high reliability and adaptability for Indic language tasks. To further enhance your communication stack, leveraging a

Voice SDK

can provide scalable, real-time audio solutions for diverse user bases.

The sarvam voice agent seamlessly integrates across multiple channels—WhatsApp, telephony, web, and custom APIs—enabling organizations to reach users wherever they are. For businesses aiming to add real-time calling features, a

Video Calling API

can be a powerful addition to your tech stack.

With control over pitch, pace, and speaker selection, the sarvam voice agent allows brands to customize voice outputs for consistent, engaging customer experiences. If you require advanced voice features, integrating a

Voice SDK

ensures flexibility and scalability for your voice applications.

Advanced state management enables context-aware conversations, variable handling, and knowledge base integration, ensuring coherent multi-turn dialogues. For Python developers, a

python video and audio calling sdk

can simplify the process of building interactive, voice-driven workflows.

Sarvam voice agent powers customer service automation, healthcare triage, legal advisory, and e-commerce support across India. A notable deployment is Sri Mandir, where users seamlessly interact with religious services via voice in their preferred language. For organizations seeking to facilitate voice-based engagement, adopting a

phone call api

can help deliver reliable and scalable voice solutions.

Begin by registering on the Sarvam platform to obtain your API keys. Set up your environment with the official Sarvam SDK or RESTful endpoints. Here’s a Python example for initializing the API:

1import sarvam
2
3sarvam.api_key = "<YOUR_API_KEY>"
4
5agent = sarvam.Agent(agent_id="demo-agent")
6response = agent.send_voice("नमस्ते, Sarvam!", language="hi")
7print(response.text)
8

For those interested in building custom audio experiences, integrating a

Voice SDK

can provide a robust foundation for real-time voice interactions.

Use the Sarvam dashboard to create agents, define intents, and design conversation flows. Leverage built-in tools for managing knowledge bases and integrating FAQs or transactional APIs for dynamic services.

Test your sarvam voice agent in the playground with real user inputs. Once satisfied, deploy to production across your desired channels. Monitor logs and analytics for continuous improvement. If you're looking to experiment with these capabilities,

Try it for free

and see how easy it is to get started.

The sarvam voice agent’s open-source foundation ensures transparency, adaptability, and cost savings. Unlike global competitors, it offers superior accuracy for Indic languages, code-mixed input, and regional accents. At an operational cost of only ₹1 per minute, it significantly undercuts proprietary alternatives, making high-quality multilingual AI accessible for businesses and government agencies alike.

Sarvam AI is actively collaborating with the IndiaAI program and Bhashini—India’s national language translation initiative. The open-source community is central to Sarvam’s roadmap, with ongoing partnerships with government agencies and academic institutions to expand language coverage, improve models, and drive responsible AI adoption in India.

The sarvam voice agent is revolutionizing multilingual communication in India, making services accessible in every major Indic language. Embrace the future of conversational AI—try Sarvam voice agent today and unlock the next generation of customer engagement. For developers and organizations eager to build similar solutions, integrating a

Voice SDK

can help you deliver seamless, multilingual voice experiences at scale.