---
title: "Are there AI models built for Indian languages?"  
description: "Are there AI models built for Indian languages?"  
author: "Saurabh Verma"  
published: 2026-11-13  
updated: 2026-11-13  
canonical: https://answers.mindstick.com/qa/120001/are-there-ai-models-built-for-indian-languages  
category: "Open-Source AI Models"  
tags: ["india", "Indian languages", "open models"]  
reading_time: 2 minutes  

---

# Are there AI models built for Indian languages?



## Answers

### Answer by Agnieszka Wozniak

Yes. While global models such as ChatGPT, Claude and Gemini handle Hindi and other Indian languages reasonably well, several Indian organisations are building models and tools specifically for India's linguistic diversity. India has 22 scheduled languages and hundreds of dialects, and many people are more comfortable in their mother tongue than in English, so this work is important.

Some notable efforts:

AI4Bharat. A research initiative based at IIT Madras that builds open-source datasets, models and tools for Indian languages, including translation, speech recognition, text-to-speech and language models. Its open resources are widely used by developers and researchers.

Bhashini. The Government of India's National Language Translation Mission, which provides translation, speech-to-text and text-to-speech services across Indian languages. It aims to make digital services accessible in all scheduled languages, and its tools are used in government apps and services.

Sarvam AI. A Bengaluru-based company building AI models and products for Indian languages, including speech, translation and language models. It has been selected under the government's IndiaAI Mission to build a sovereign Indian foundation model.

BharatGen. A government-supported initiative involving a consortium of academic institutions, developing multilingual and multimodal foundation models for India.

Krutrim. An AI venture from the Ola group that has released models and services with a focus on Indian languages.

Other startups and research groups are also working on models for specific domains, such as agriculture and healthcare, in Indian languages.

Why are Indian-language models needed?

1. Global models are trained mostly on English text, so performance in Indian languages, especially lower-resource ones, can be weaker.\
2. Tokenizers built for English can be inefficient for Indian scripts, making AI more expensive to run in those languages.\
3. Cultural context, local references and code-mixing like Hinglish need specific attention.\
4. Data sovereignty and national strategic interests.

For developers, many of these resources are available on platforms like Hugging Face or through APIs. When building an app for Indian users, test global and Indian models on your specific languages and tasks, since performance varies widely by language and use case.

The IndiaAI Mission, launched by the government in 2024 with a large budget, supports computing infrastructure, datasets and model development, so this area is likely to grow quickly in the coming years.


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