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The release of Bodhan AI's four new Indic models marks a significant advancement in specialized machine learning for low-resource languages, specifically addressing the complex challenge of parsing mixed scripts and maintaining document structure. By leveraging architectures like Qwen3.5 and PP-DocLayoutV3, these tools effectively bridge the gap between digitizing educational materials and enabling practical applications such as translation and speech synthesis across India's 22 scheduled languages. This development expands the frontier of multilingual AI capabilities beyond English-centric benchmarks, offering critical infrastructure for inclusive digital literacy.

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Bodhan AI Releases Four Indic Models for OCR, Translation and Speech

Analytics VidhyaSeptember 10, 20267 min read

A Hindi lesson can mix English terms (loan words), scanned tables and handwritten equations. Making that content searchable, translating it and reading it aloud requires several kinds of AI. Bodhan AI and AI4Bharat’s four new models target those jobs across Indian languages. Released in September 2026, the models cover document parsing, translation, speech recognition and speech generation, with support for mixed languages and scripts. In this article, we break down each model, its benchmarks, limitations and access options. What Can You Build With Them? 33M layout parser + 0.8B OCR Core and Flexible; 1.2B each 3.36B stack; 45 voices This is the biggest display of frontier development across Indic language that I’ve seen since the release of Indic-LM Arena back in November 2025. But what the platform offered initially as a blueprint, the following releases are making…

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