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Good practice Imported

BHASHINI — India's AI Multilingual Translation Mission for Government Service Access

India · New Delhi · See the India profile · See the New Delhi profile

Evidence: Descriptive / self-reported Top 14% 80/100 · Ask Evidence Copilot about this practice

India's MeitY-run BHASHINI mission gives citizens AI speech/text translation across 22 languages, embedded in e-Shram, Defence Production and Parliament portals and the Maha Kumbh 2025 chatbot — 100M+ monthly inferences, 700,000+ downloads.

100 million+
Monthly inferences
700,000+
App downloads
22
Scheduled languages covered
300+
Pre-trained models exposed via open APIs
50+
Onboarded ecosystem stakeholders
4 to 22
e-Shram portal language expansion (January 2025)
11
Languages served by the Maha Kumbh 2025 chatbot

Details

Maturity
Scaling
Promoter
Digital India Bhashini Division (DIBD), Digital India Corporation, Ministry of Electronics and Information Technology (MeitY)
Period
July 2022 – ongoing
Keywords
multilingual AI, machine translation, speech recognition, language accessibility, digital inclusion

Context

BHASHINI (the National Language Translation Mission) is an AI translation platform run by the Digital India Bhashini Division under the Digital India Corporation, overseen by India's Ministry of Electronics and Information Technology (MeitY). Launched in July 2022, it provides AI-based text translation, speech recognition and text-to-speech across India's 22 scheduled languages through more than 300 pre-trained models exposed via open APIs to ecosystem partners.

Results

Government adoption has spread across multiple portals: the e-Shram worker-registration portal expanded from 4 to all 22 languages in January 2025, the Department of Defence Production website became available in 22 languages the same month, and e-Gram Swaraj integrated the platform in August 2024. MeitY reports more than 100 million monthly inferences, over 700,000 app downloads, and 50+ onboarded ecosystem stakeholders; at the Maha Kumbh 2025 gathering, a BHASHINI-based chatbot served pilgrims in 11 languages.

Conclusions

The usage figures come from government press releases and MeitY-linked sources; no independent third-party audit of BHASHINI's translation accuracy or bias across India's 22 languages was found, and quality is likely uneven between well-resourced languages such as Hindi and lower-resource ones.

Implementation

Implementation detail (cost, timeline, staffing, conditions for success) is not yet available for this practice.

Commonly funded by

National / regional programmes

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Data sources

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