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100India-Specific ToolsFreeAge: Any

Sarvam AI

sarvam.ai

Best for

Indian-language AI models and APIs

Works on

API, Browser

Alternatives

Bhashini, Google Translate

Watch out

Newer platform; API documentation still evolving

What It Does

Sarvam AI is an Indian AI startup building foundation models purpose-built for Indian languages. Unlike models that treat Indian languages as an afterthought (trained primarily on English data with some multilingual fine-tuning), Sarvam's models are trained from the ground up on diverse Indian language data. Their offerings include Sarvam-2B (a compact, Indic-first language model), text-to-speech and speech-to-text in 10+ Indian languages, and translation APIs. The focus on efficiency means their models run well on Indian mobile networks and devices.

Setup in 5 Minutes

and explore the demo applications for translation, voice, and text generation. - For API access, sign up on the developer portal and claim free credits. - The API follows standard REST conventions and is well-documented. - Install the Python SDK: pip install sarvam-ai for programmatic access. - Models are available through Hugging Face for local deployment.

Try This

Use the Sarvam API to build a voice note translator: record a voice memo in Hindi, transcribe it using Sarvam's speech-to-text, translate the text to English using their translation API, and convert the English text back to speech using their text-to-speech. Chain all four steps in a Python script. Compare the end-to-end quality with the same pipeline built using Google Cloud or Bhashini APIs.

Follow Along

Follow Along — Build a Multilingual Chatbot: ) and obtain your API key from the Sarvam developer portal. - Create a Flask app with a single route /chat that accepts a POST request containing a base64-encoded Hindi audio clip. - In the route handler, chain three Sarvam API calls: (a) speech-to-text to transcribe the Hindi audio, (b) pass the transcript to Sarvam's text generation model with a system prompt (e.g. "You are a helpful Hindi-speaking assistant"), (c) text-to-speech to convert the response back to Hindi audio. - Return the response audio to the client. Test with curl or a simple HTML page with a record button. - Extend the app to support a second language (e.g. Tamil) by detecting the input language and routing to the appropriate pipeline.

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