Speech-to-Text

This skill allows users to convert spoken language into text across 23 languages, providing various output modes like transcribe, translate, and more. It's designed for developers needing speech recognition capabilities in their applications.

000Updated 3w ago

AI Agents

Quick InstallView Source

$ npx skills add https://github.com/sarvamai/skills --skill speech-to-text.

Overview

About This Skill

This skill transcribes audio to text using Sarvam AI's Saaras v3 model, supporting 23 Indian languages with auto language detection. It offers five output modes: transcribe, translate, verbatim, transliteration, and code-mixed text. Developers can choose between REST API (up to 30 seconds), WebSocket streaming (up to 8 hours), or Batch API with speaker diarization for longer audio files. The skill is ideal for building voice-enabled applications, meeting transcription systems, and voice interfaces that require accurate speech recognition across Indian languages.

How to Use

Install via command line and integrate using the Sarvam AI Python client.

Use Cases

Transcribing meetings or lectures into text

Translating spoken content for multilingual audiences

Creating subtitles or captions for videos

Building voice-enabled applications for accessibility

Setup & Installation

Quick Install

Terminal

$ npx skills add https://github.com/sarvamai/skills --skill speech-to-text.

Alternative Install (Git Clone)

git clone https://github.com/sarvamai/skills

Requirements

Claude Code or compatible AI agent

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

📝

No Examples Available

Check the GitHub repository or documentation for usage examples.

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