piper

Convert Markdown or plain text into audio files using Piper's local TTS engine.

Updated Dec 9, 2025

Search Tags:#text-to-speech #tts #voices #piper #local-tts

Ready to run

npx skills add https://github.com/SecKatie/kmtools --skill piper

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: piper
Source: https://github.com/SecKatie/kmtools/tree/main/piper
Command: npx skills add https://github.com/SecKatie/kmtools --skill piper

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Piper provides fast, local, neural text-to-speech capabilities to convert written content into natural-sounding audio without relying on cloud services.

Core Features & Use Cases

Local processing with Piper's voices for offline TTS.
Convert Markdown or plain text into audio files, with speed and voice controls.
Use cases include turning notes, articles, or scripts into listenable content for accessibility or convenience.

Quick Start

Run the Piper TTS tool on your text to generate an audio file.

Frequently Asked Questions about piper

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

FAQPage Schema

How do I convert text to speech locally without cloud services?▼

Local text-to-speech conversion uses Piper's neural TTS engine to render input text into natural-sounding audio files directly on your machine, ensuring offline privacy without relying on cloud APIs.

Can I convert Markdown files to audio using a local TTS engine?▼

Markdown files can be converted to audio using local TTS preprocessing. The Piper engine processes Markdown notes alongside plain text, applying voice and speed controls to generate listenable audio output.

Do I need to install Piper binaries and voice models for offline text-to-speech?▼

Offline text-to-speech requires locally installed Piper binaries and voice models to render audio. These dependencies must be set up in your environment before processing text or batch converting files.

What is the best way to batch process multiple text files into speech?▼

Batch processing text into speech is handled by Piper's local TTS engine, which supports selectable voices and speed options for multiple files, rendering each input text into a corresponding natural-sounding audio file.

Does local TTS support selectable voices and speed controls for generated audio?▼

Local TTS supports selectable voices and speed controls during audio generation. Piper's engine applies these preprocessing options to both single-file and batch text conversions to customize the speech output.

Why use local neural TTS instead of cloud-based text-to-speech services?▼

Local neural TTS provides offline processing capabilities without cloud service dependencies. Piper's engine converts written content like notes and articles into natural audio locally, offering accessibility and convenience without internet requirements.