Sarvam AI Releases Saaras V4: A Speech-to-Text Model for All 22 Indian Languages and Global English
Sarvam AI has released Saaras V4, the newest generation of its speech recognition model. It covers all 22 scheduled Indian languages plus English, now including global English accents. Sarvam reports state-of-the-art accuracy across all 22 languages. Is it deployable? Yes, through Sarvam’s API today, using model="saaras:v4". Weights are not public, and Sarvam’s SageMaker self-hosting docs currently cover Saaras v3 only. What is Inside Saaras V4 Saaras V4 is an encoder-deco
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A company released Saaras V4, a speech-to-text model that can transcribe audio in all 22 scheduled Indian languages plus English with global accents. The model works through an audio encoder that converts sound into phonetic details, followed by a language decoder that produces text transcripts, and can be accessed through an API or integrated into applications. This matters because it addresses speech recognition for a large set of languages that are underserved by existing systems, and it offers multiple output options from a single model, including native script, transliteration, code-mixing, and translation. The model is currently available only through an API at specified pricing, with self-hosting documentation not yet available for this version.
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