At the India AI Impact Summit 2026, Intel and BHASHINI unveiled automatic speech recognition, text-to-speech, and translation models running on Intel Core Ultra Series-powered AI PCs, delivering real-time translation and transcription.

The collaboration also announced BHASHINI Vidyalekha, an offline real-time translation and transcription tool, to be brought to Intel-based AI PCs to support multilingual education across India.

BHASHINI Vidyalekha, an AI translation and transcription tool, is now available on Intel-based AI PCs.

Amitabh Nag, CEO of Bhashini, highlighted India’s linguistic diversity as a national asset and the need for inclusive technology that works without relying on language or connectivity.

Vidyalekha operates offline on laptops to transcribe English lectures and translate them into the student’s preferred language, tackling language barriers for college students educated in their native tongues.

The tool is designed to bridge education language gaps through real-time translation and transcription across multiple Indian languages.

The initiative enables offline language translation and transcription for college students by transcribing English lectures and translating them into the user’s language of choice.

BHASHa INterface for India (BHASHINI) is an MEITY initiative that supports multilingual AI across 36 text models, 22 voices, and 35 international languages, aiming to bridge literacy and language divides.

As part of MeitY’s AI effort, BHASHINI supports languages including 36 text models, 22 voices, and 35 international languages to democratize multilingual AI and promote inclusive digital transformation in classrooms.

BHASHa INterface for India (BHASHINI) is MeitY’s AI-powered language initiative that spans 36 text models, 22 voices, and 35 international languages to bridge literacy and language divides.

The mission is to democratize multilingual AI and deliver device-level innovation in classrooms with low-latency, privacy-preserving AI inference on end-user devices powered by Intel Core Ultra processors.

The initiative emphasizes offline execution of AI workloads on PCs, reducing cloud dependence and preserving data confidentiality while enabling sovereign AI models to run locally.