sherpa-onnx-tts

Convert text into speech audio files using the sherpa-onnx engine.

2|Updated Feb 13, 2026
One-click install
npx skills add https://github.com/FatBy/DD-OS --skill sherpa-onnx-tts-fatby
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: sherpa-onnx-tts
Source: https://github.com/FatBy/DD-OS/tree/main/skills/sherpa-onnx-tts
Command: npx skills add https://github.com/FatBy/DD-OS --skill sherpa-onnx-tts-fatby

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill provides a local, offline text-to-speech (TTS) solution, eliminating the need for cloud-based services and ensuring privacy and accessibility.

Core Features & Use Cases

  • Local TTS: Generates speech audio directly on your machine without internet connectivity.
  • Privacy-Focused: Keeps your text data local, ideal for sensitive information.
  • Customizable Voices: Supports various voice models for different speech outputs.
  • Use Case: Convert meeting notes or generated reports into audio files for later listening without relying on external APIs.

Quick Start

Use the sherpa-onnx-tts skill to convert the text "This is a test of the local text to speech system." into an audio file named output.wav.

Frequently Asked Questions about sherpa-onnx-tts

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

FAQPage Schema
How do I generate speech audio from text without an internet connection?

Offline text-to-speech synthesis generates speech audio directly on your local machine, ensuring privacy and accessibility without relying on cloud-based services or internet connectivity.

Do I need to download voice models to use local TTS?

Yes, local TTS requires pre-downloaded runtime and voice model files to operate. These files enable the sherpa-onnx engine to synthesize speech independently on your machine.

Can I convert meeting notes into audio files for offline listening?

Yes, you can convert meeting notes or generated reports into spoken audio files like WAV, allowing you to listen to sensitive text data later without exposing it to external APIs.

What is the best way to keep text data private during speech synthesis?

Using local, offline text-to-speech keeps your text data entirely on your machine. This approach is ideal for sensitive information because it eliminates the need to send data to external cloud APIs.

Does offline text-to-speech support customizable voices?

Yes, offline text-to-speech supports various pre-downloaded voice models, allowing you to customize the speech output for different audio generation requirements.