What is the Sherpa ONNX Local TTS skill?

It is a Claude Code skill that integrates the sherpa-onnx speech synthesis runtime, allowing you to generate audio from text locally on your machine without cloud services.

Which operating systems are supported?

Sherpa ONNX Local TTS supports macOS (Universal binary), Linux (x64), and Windows (x64).

Can I use custom voice models with this skill?

Yes. You can configure alternative VITS or Piper ONNX voice models by updating your model directory or passing custom model parameters via the CLI wrapper.

Does this skill require an active internet connection to synthesize speech?

No. Once the runtime and model files are downloaded, all text-to-speech processing happens entirely offline on your local CPU.

Sherpa ONNX Local TTS - Claude Code Skill for Speech

Sherpa ONNX Local Text-to-Speech provides a secure, fully offline text-to-speech engine powered by sherpa-onnx. By executing lightweight ONNX-based voice models (such as VITS and Piper) entirely on local hardware across macOS, Linux, and Windows, this skill enables seamless speech generation without relying on external cloud APIs or exposing sensitive data. It is ideal for local voice assistants, accessibility tooling, offline audio content creation, and real-time audio notifications.

Key Features

01Configurable model paths, custom token files, and multi-model switching

02Cross-platform binary runtimes for macOS (Universal), Linux (x64), and Windows (x64)

03Direct WAV audio file generation via standard CLI wrapper commands

04Pre-configured support for natural Piper and VITS ONNX voice models

05100% offline, privacy-first speech synthesis with zero cloud dependencies

06387,936 GitHub stars

Use Cases

01Building offline voice interfaces and privacy-centric personal AI assistants

02Converting textual documentation and scripts into audio files locally

03Generating spoken alerts and audio notifications in automated local workflows

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