# real-time contextual text normalization

Sarvam released Bulbul V4 Flash, a text-to-speech model for Indian languages that reaches under 250 ms time-to-first-audio in production and costs ₹20 per 10,000 characters. That is a third less than V3's ₹30, while the company reports richer prosody, stronger contextual delivery and higher speech quality. The model launches with 83 voices across 11 languages and 224 voice-and-style combinations, plus a real-time contextual text normalization layer for items such as PNR, PAN and Aadhaar whose spoken form depends on context.

Sarvam released Bulbul V4 Flash, a text-to-speech model for Indian languages that reaches under 250 ms time-to-first-audio in production and costs ₹20 per 10,000 characters. That is a third less than V3's ₹30, while the company reports richer prosody, stronger contextual delivery and higher speech quality. The model launches with 83 voices across 11 languages and 224 voice-and-style combinations, plus a real-time contextual text normalization layer for items such as PNR, PAN and Aadhaar whose spoken form depends on context.