sherpa-onnx-tts

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

6|Updated Mar 13, 2026

Search Tags:#accessibility #offline #audio #tts #speech #sherpa-onnx

Ready to run

npx skills add https://github.com/me2Doc/friendlyclaw --skill sherpa-onnx-tts-me2doc

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: sherpa-onnx-tts
Source: https://github.com/me2Doc/friendlyclaw/tree/main/body/skills/sherpa-onnx-tts
Command: npx skills add https://github.com/me2Doc/friendlyclaw --skill sherpa-onnx-tts-me2doc

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires node, and includes bin (resource) components.

What problem does it solve?

This skill provides a reliable, privacy-focused way to convert text into spoken audio without relying on external cloud-based APIs or internet connectivity.

Core Features & Use Cases

Offline Synthesis: Generates audio files locally using the sherpa-onnx engine, ensuring data privacy and zero latency.
Flexible Voice Models: Supports various VITS-based models to customize the output voice and tone.
Use Case: Integrate this into your local automation workflows to generate spoken notifications or audio feedback for system events without sending sensitive data to third-party servers.

Quick Start

Use the sherpa-onnx-tts skill to convert the text Hello from local TTS 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 convert text to speech offline without sending data to cloud APIs?▼

You can convert text to speech offline using the local sherpa-onnx engine, which generates high-quality audio files without internet connectivity. This ensures data privacy and zero latency by processing voice synthesis entirely on your local machine.

What do I need to generate audio files locally with sherpa-onnx?▼

To generate audio files locally, you need pre-configured runtime binaries and VITS-compatible voice models. The engine processes your text input and outputs audio files like WAV, provided the necessary dependencies and models are correctly set up.

Can I use VITS voice models for local text-to-speech synthesis?▼

Yes, you can use VITS voice models for local text-to-speech synthesis with the sherpa-onnx engine. It supports various VITS-based models, allowing you to customize the output voice and tone for your automated voice synthesis needs.

Does offline text-to-speech synthesis work for automated system alerts?▼

Offline text-to-speech synthesis works for automated system alerts by generating spoken notifications locally. You can integrate it into local automation workflows to provide audio feedback for system events without relying on third-party servers.

What is the best way to create spoken notifications for local automation workflows?▼

The best way to create spoken notifications for local automation workflows is using an offline engine like sherpa-onnx. It converts text input into high-quality audio files locally, ensuring privacy and zero latency for system event feedback.