This page focuses on where Sarvam AI (TTS) fits in a production voice stack. For full setup steps, credentials, and API details, use the documentation link above.
Overview
Sarvam AI's Bulbul text-to-speech model produces voices that sound like native speakers of Indian languages, with natural rhythm and intonation rather than an English voice reading Indian text.
With Bolna's Sarvam integration, your voice agents speak across 10 Indian languages plus Indian English, with pronunciation that handles Indian names, places, and domain terms correctly.
Models
Bolna offers bulbul:v3, Sarvam's current text-to-speech model. Earlier generations have been retired by Sarvam and are no longer selectable.
Voices
Bolna serves 16 Bulbul voices - nine female and seven male - and the same set is available for every supported language, so you choose by tone rather than by language:
- Conversational - Priya, Ritu, Kavya, Simran, Sumit
- Sales and support - Rahul, Shubh
- Business - Amit, Ishita
- News - Ratan, Ashutosh, Shreya
- Other - Pooja (assistant), Manan (automation), Shruti (entertainment), Suhani (audiobooks)
Supported Languages
English (India), Hindi, Bengali, Tamil, Telugu, Gujarati, Kannada, Malayalam, Marathi, Punjabi, and Odia.
Features & Use Cases
Native-Sounding Indian Voices
Voices are trained on native speakers, so they carry the right accent and cadence instead of sounding translated.
Handles Indian Names and Terms
Pronounces Indian names, place names, and domain-specific jargon correctly where English-first models mispronounce them.
Adjustable Pace
Speaking rate is tunable per agent, so you can slow an agent down for older callers or speed it up for routine confirmations.
Real-Time Streaming
Streaming synthesis lets agents start speaking before the full response is generated, keeping conversations flowing.
Use Case: All-India Customer Support
Answer in the caller's own language with a voice that sounds local, not imported.
Use Case: Reaching Rural Markets
Speak to customers outside metros in the language and accent they actually use day to day.
Use Case: Regional Banking Services
Deliver financial information in local languages with a voice callers find easy to follow.
