Voice Selection

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Meta Prompt Guide

**Translation** converts text from one language to another while preserving its meaning.
For Example: **'मैं ऑफिस जा रहा हूँ'** translates to **'I am going to the office'** in English, where the script and language change, but the original meaning remains the same.

Available languages:
- **`en-IN`**: English
- **`hi-IN`**: Hindi
- **`bn-IN`**: Bengali
- **`gu-IN`**: Gujarati
- **`kn-IN`**: Kannada
- **`ml-IN`**: Malayalam
- **`mr-IN`**: Marathi
- **`od-IN`**: Odia
- **`pa-IN`**: Punjabi
- **`ta-IN`**: Tamil
- **`te-IN`**: Telugu

For hands-on practice, you can explore the notebook tutorial on [Translate API Tutorial](https://github.com/sarvamai/sarvam-ai-cookbook/blob/main/notebooks/translate/Translate_API_Tutorial.ipynb).

Translate Text

Identifies the language (e.g., en-IN, hi-IN) and script (e.g., Latin, Devanagari) of the input text, supporting multiple languages.

Language Identification

**Transliteration** converts text from one script to another while preserving the original pronunciation. For example, **'नमस्ते'** becomes **'namaste'** in English, and **'how are you'** can be written as **'हाउ आर यू'** in Devanagari. This process ensures that the sound of the original text remains intact, even when written in a different script.

Transliteration is useful when you want to represent words phonetically across different writing systems, such as converting **'मैं ऑफिस जा रहा हूँ'** to **'main office ja raha hun'** in English letters.

**Translation**, on the other hand, converts text from one language to another while preserving the meaning rather than pronunciation. For example, **'मैं ऑफिस जा रहा हूँ'** translates to **'I am going to the office'** in English, changing both the script and the language while conveying the intended message.
### Examples of **Transliteration**:
- **'Good morning'** becomes **'गुड मॉर्निंग'** in Hindi, where the pronunciation is preserved but the meaning is not translated.
- **'सुप्रभात'** becomes **'suprabhat'** in English.

Available languages:
- **`en-IN`**: English
- **`hi-IN`**: Hindi
- **`bn-IN`**: Bengali
- **`gu-IN`**: Gujarati
- **`kn-IN`**: Kannada
- **`ml-IN`**: Malayalam
- **`mr-IN`**: Marathi
- **`od-IN`**: Odia
- **`pa-IN`**: Punjabi
- **`ta-IN`**: Tamil
- **`te-IN`**: Telugu

For hands-on practice, you can explore the notebook tutorial on [Transliterate API Tutorial](https://github.com/sarvamai/sarvam-ai-cookbook/blob/main/notebooks/transliterate/Transliterate_API_Tutorial.ipynb).

Transliterate Text

Given a PDF, this API helps to get structured extraction of data in the document.The API returns a base64 encoded XML string containing the extracted data.

Sarvam Parse

Given a PDF, this API helps to translate the content in the document

Doc Translate

## Real-Time Speech to Text API

This API transcribes speech to text in multiple Indian languages and English. Supports real-time transcription for interactive applications.

### Available Options:
- **Real-Time API** (Current Endpoint): For quick responses under 30 seconds with immediate results
- **Batch API**: For longer audio files, requires following a notebook script - [View Notebook](https://github.com/sarvamai/sarvam-ai-cookbook/tree/main/notebooks/stt/stt-batch-api)
  - Supports diarization (speaker identification)

### Note:
- Pricing differs for Real-Time and Batch APIs
- Diarization is only available in Batch API with separate pricing
- Please refer to [dashboard.sarvam.ai](https://dashboard.sarvam.ai) for detailed pricing information

Speech to Text

## Real-Time Speech to Text Translation API

This API automatically detects the input language, transcribes the speech, and translates the text to English.

### Available Options:
- **Real-Time API** (Current Endpoint): For quick responses under 30 seconds with immediate results
- **Batch API**: For longer audio files, requires following a notebook script - [View Notebook](https://github.com/sarvamai/sarvam-ai-cookbook/tree/main/notebooks/stt-translate/stt-translate-batch-api)
  - Supports diarization (speaker identification)

### Note:
- Pricing differs for Real-Time and Batch APIs
- Diarization is only available in Batch API with separate pricing
- Please refer to [dashboard.sarvam.ai](https://dashboard.sarvam.ai) for detailed pricing information

Speech To Text Translate

Given an audio file of a call between two parties and a list of questions, This API analyzes the content and returns the transcript, along with responses to the questions. Each response is supported by reasoning and exact phrases extracted from the transcript.

⚠️ Important: Please use Batch API Notebook for call recordings more than 30 seconds.

Duration Guidelines:
- Files under 30 seconds: Use this direct API endpoint
- Files over 30 seconds: Use our Batch API (required)

Resources:
1. Interactive Demo: [Try Call Analytics Playground](https://call-analytics-playground.streamlit.app/)
2. Batch API Documentation: [View Notebook](https://github.com/sarvamai/sarvam-ai-cookbook/tree/main/notebooks/call-analytics/)

Call Analytics

This endpoint performs comprehensive text analysis on provided content and answers specific questions about the text. Each response is supported by reasoning and the exact phrase extracted from the content.

Text Analytics

This is the model to convert text into spoken audio. 
The output is a wave file encoded as a base64 string.

Speaker	Accent	Value	Listen
Meera	Indian	`meera`	🎧 Listen
Pavithra	Indian	`pavithra`	🎧 Listen
Maitreyi	Indian	`maitreyi`	🎧 Listen
Diya	Indian	`diya`	🎧 Listen
Maya	Indian	`maya`	🎧 Listen
Misha	Western	`misha`	🎧 Listen

Speaker	Accent	Value	Listen
Arvind	Indian	`arvind`	🎧 Listen
Amol	Indian	`amol`	🎧 Listen
Amartya	Indian	`amartya`	🎧 Listen
Neel	Indian	`neel`	🎧 Listen
Arjun	Indian	`arjun`	🎧 Listen
Vian	Western	`vian`	🎧 Listen

Getting Started

Changelog

Usage Guides

Endpoints

Voice Selection

Voice Selection

Female Voices

Male Voices

Getting Started

Changelog

Usage Guides

Endpoints

​Voice Selection

​Female Voices

​Male Voices

Voice Selection

Female Voices

Male Voices