Speech To Text Quickstart Guide

Sarvam AI offers two powerful speech models:

Advanced speech recognition model with superior multi-speaker handling and automatic code-mixing support for Indian languages.

Saaras

Domain-aware translation model with enhanced telephony support and intelligent entity preservation.

View our pricing page for detailed information about model-specific pricing and usage tiers.

Saarika: Our Speech to Text Transcription Model

Saarika is a speech-to-text transcription model that excels in handling multi-speaker content, mixed language content, and conference recordings. It offers automatic code-mixing and enhanced multilingual support, making it ideal for a wide range of applications.

Speech to Text Features

Basic Transcription

With Diarization

Basic Speech to Text Transcription

Convert speech to text with high accuracy. Supports multiple Indian languages and accents. Features include:

Multi-language support
Automatic language detection
High-quality noise filtering
Support for various audio formats

Python

JavaScript

cURL

1 from sarvamai import SarvamAI
2 
3 client = SarvamAI(
4     api_subscription_key="YOUR_SARVAM_API_KEY",
5 )
6 
7 response = client.speech_to_text.transcribe(
8     file=open("audio.wav", "rb"),
9     model="saarika:v2",
10     language_code="gu-IN"
11 )
12 
13 print(response)

Saaras Model: Our SOTA Speech to Text Translation Model

Saaras is a domain-aware translation model with enhanced telephony support and intelligent entity preservation. It is designed to handle complex language variations and domain-specific content, making it ideal for call center and telephony applications.

Translation Features

Basic Translation

With Diarization

Speech to Text Translation

Directly translate speech from one language to another. Ideal for content localization and international communication. Features include:

Support for major Indian languages
High-quality translations
Preservation of context and tone
Real-time translation capability

Python

JavaScript

cURL

1 from sarvamai import SarvamAI
2 
3 client = SarvamAI(
4     api_subscription_key="YOUR_API_SUBSCRIPTION_KEY",
5 )
6 
7 response = client.speech_to_text.translate(
8     file=open("audio.wav", "rb"),
9     model="saaras:v2"
10 )
11 
12 print(response)

For detailed API documentation and advanced usage, visit our API Reference.