Why in news?
The Digital India BHASHINI Division (DIBD) recently signed a memorandum of understanding with Kathmandu University’s Centre for Digital Public Infrastructure and Artificial Intelligence, Nepal. This collaboration aims to advance language technology and multilingual digital public goods across South Asia. Earlier in January 2026, DIBD had partnered with the Survey of India to digitise and standardise geographic place names using speech‑to‑text technology.
Background
BHASHINI stands for BHASha INterface for India. It is a flagship initiative under the Ministry of Electronics and Information Technology (MeitY) launched in July 2022 as part of the National Language Translation Mission. The goal is to provide AI‑driven translation and speech services so that citizens can interact with digital platforms in their native languages. The Digital India Corporation houses the BHASHINI division, which coordinates research, open‑source development and policy support for language technology. The platform offers APIs for machine translation, speech recognition and text‑to‑speech in dozens of Indian languages.
Key features and objectives
- Multilingual AI services: BHASHINI provides translation, speech‑to‑text and text‑to‑speech services in 36 Indian text languages, 23 Indian voice languages and several international languages. Over 300 pre‑trained AI models are accessible through open APIs.
- Support for public platforms: The platform powers more than 800 government websites and mobile apps, enabling citizens to access public services in their preferred language.
- Open ecosystem: DIBD works with startups, researchers and community volunteers to build datasets, create open‑source tools and promote innovation. It encourages collaboration through hackathons and grants, helping small firms and individuals participate in the language technology sector.
- Toponymy digitisation: Through its MoU with the Survey of India, BHASHINI is helping record and transcribe geographical place names using speech recognition. The resulting topographic database preserves local pronunciations and supports accurate mapping.
- International cooperation: The recent agreement with Kathmandu University signals India’s commitment to regional collaboration. Shared datasets and joint research will help develop language tools for Nepali and other South Asian languages, making digital public services more inclusive.
Significance
By reducing language barriers, BHASHINI enhances digital inclusion and empowers citizens who are more comfortable in Indian languages than in English. Businesses, startups and government agencies can deliver services across India’s linguistic diversity without building proprietary translation engines. The initiative also strengthens India’s role in the global AI community and positions the country as a leader in open‑source language technology.
Conclusion
The BHASHINI platform demonstrates how AI can be harnessed for social good. Its recent partnerships—from mapping place names to collaborating with neighbouring universities—show that multilingual technology can bridge divides and foster cooperation. Continued investment in datasets, research and community engagement will be vital for its success.