From the source
Billions of them.
Today, we’re introducing Saaras V3, built to understand all of them.
In June 2025, Saaras V2.5 marked an important step forward.
It introduced multilingual speech recognition across 11 Indian languages and achieved ~22% Word Error Rate (WER) on the IndicVoices benchmark, consistently outperforming competing frontier models.
It set a new baseline for speech recognition performance in Indian languages.
Powered by a new architecture, the Saaras V3 now natively supports streaming for low latency decoding.
This upgrade also brings enhanced recognition accuracy, particularly for code-mixed and noisy speech to 22 official Indian languages and English.
When evaluated on the same IndicVoices benchmark, Saaras V3 achieves ~19% WER.
Speech systems are judged in motion.
Responsiveness matters.
Stability under mixed inputs matters.
The difference between a usable system and a frustrating one often comes down to how quickly and reliably the first tokens appear.
Saaras V3 now supports real time transcription in addition to a standard batch-oriented approach.
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