BHASHINI AI supports multilingual access in academic and research settings
Synopsis
Key Takeaways
The Digital India BHASHINI Division (DIBD), operating under the Digital India Corporation (DIC) and the Ministry of Electronics and Information Technology (MeitY), showcased its multilingual artificial intelligence capabilities at the 29th International Symposium on Electronic Theses and Dissertations (ETD-2026), held at the Indian Institute of Technology (IIT) Delhi from 23 to 25 October 2026. Government officials highlighted how voice-first multilingual AI, speech-to-text, translation, optical character recognition (OCR), and document translation can expand access to academic and research content across Indian languages.
What BHASHINI's AI Ecosystem Offers
According to an official statement, BHASHINI has recorded over 10 billion cumulative AI inferences to date. The platform currently supports 36 Indian languages for text, 23 Indian languages for voice, and 35 international languages. Its website translation plugin enables multilingual access across more than 800 government websites, positioning it as one of the largest language-tech deployments in India's public sector.
BHASHINI's broader ecosystem integrates language datasets, AI models, application programming interfaces (APIs), and end-user applications to address a range of language technology use cases — from citizen services to, now, higher education and research repositories.
Session Highlights at ETD-2026
Baishali Chakraborty, representing DIBD at the symposium, led a dedicated session on BHASHINI's Language-First Digital Public Infrastructure (DPI) and its potential to help higher education institutions, libraries, and research repositories overcome language barriers. A live demonstration of Shrutlekh — BHASHINI's real-time speech transcription tool — illustrated simultaneous translation capabilities, with potential applications in lecture halls, research seminars, and academic conferences.
A key focus was extending AI-powered translation to electronic theses and dissertations (ETDs), including lengthy and specialised academic documents. BHASHINI Pragati, a document translation workbench developed for the Comptroller and Auditor General of India (CAG), was presented as a proof of concept for structured document translation. The workbench supports documents spanning 100 to 500 pages, with built-in quality checks and data security considerations, according to the official statement.
What Officials Said
Harshad Sharma, Senior Manager (Finance) at DIBD, said: 'Making research and scholarly knowledge accessible across Indian languages is an important step towards a more inclusive knowledge ecosystem.' Sharma added that 'BHASHINI's multilingual AI capabilities, including document translation and speech technologies, can help universities, libraries and research repositories reach wider audiences,' and noted that sustained engagement with academic institutions would be essential to developing reliable multilingual solutions for theses, dissertations, and other research content.
Why This Matters for Indian Academia
India's higher education system spans thousands of institutions where students and researchers often work in regional languages, yet most ETD repositories and digital libraries remain predominantly English-first. BHASHINI's intervention at ETD-2026 signals a policy intent to bridge that gap using publicly funded AI infrastructure. Notably, this participation comes as the government accelerates its Digital India programme and positions language technology as a core pillar of equitable digital access.
The next steps, according to officials, will involve direct engagement with universities and research institutions to understand specific multilingual requirements and to pilot reliable AI-driven solutions at scale.