together-audio

Generate audio from text and transcribe audio using Together AI APIs.

2|1|Updated Feb 20, 2026
One-click install
npx skills add https://github.com/zainhas/togetherai-skills --skill together-audio
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: together-audio
Source: https://github.com/zainhas/togetherai-skills/tree/main/skills/together-audio
Command: npx skills add https://github.com/zainhas/togetherai-skills --skill together-audio

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires websockets, together, together-ai, and includes scripts (resource) and references (resource) components.

What problem does it solve?

Text-to-speech and speech-to-text workflows are often stitched together with ad-hoc tooling. This skill provides a unified set of instructions to generate audio from text and transcribe/translate audio using Together AI, enabling end-to-end voice-enabled applications.

Core Features & Use Cases

  • TTS: generate speech from text across multiple voices/models via REST, streaming, and WebSocket endpoints.
  • STT: transcribe, translate, and diarize audio using Whisper, Voxtral, Parakeet, and Deepgram endpoints with realtime WebSocket options.
  • Use Case: Build an automated podcast workflow that generates intros/outros and captions.

Quick Start

Create a short example that converts text to speech using a chosen model and saves the output to a file.

Frequently Asked Questions about together-audio

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I convert text to speech and transcribe audio using the Together AI API?

You can convert text to speech and transcribe audio using the Together AI API by implementing REST, streaming, and WebSocket endpoints. This skill provides runnable scripts and reference docs to handle both TTS and STT workflows end-to-end.

Can I transcribe and translate audio in real time using WebSockets with Together AI?

Yes, real-time audio transcription and translation are supported using WebSocket connections. You can leverage Whisper, Voxtral, Parakeet, and Deepgram models to diarize and transcribe streaming audio inputs directly.

What's the best way to build an automated podcast workflow that generates speech from text and creates captions?

The best way to build a podcast workflow is combining TTS for generating intros and outross with STT for creating captions. This skill unifies these voice-enabled applications using Together AI's Python and TypeScript SDKs.

Do I need the Together Python SDK to generate speech from text across multiple voices?

Yes, you need the Together Python SDK to generate speech from text across multiple voices. The skill relies on both the Python and TypeScript SDKs to interact with REST and WebSocket APIs for audio generation.

Does Together AI support speaker diarization and audio translation for speech-to-text workflows?

Yes, Together AI supports speaker diarization and audio translation within speech-to-text workflows. You can transcribe and translate audio using Whisper, Voxtral, Parakeet, and Deepgram endpoints provided in the skill.