local-tts
Best for Apple Silicon Mac usersWorks with GitHubLow risk
⌘source
- author
@jeremylongshore- language
- Python
★2kstars
265forks
Apr 18, 2026
✦overview.md
Key Features
- ·Generates speech from text using VoxCPM2 locally
- ·Supports 30 languages with auto-detection
- ·Voice design via descriptive parenthetical prefixes
- ·Voice cloning from 3-10 second reference clips
- ·Runs 100% offline on Apple Silicon via Metal
- ·Zero API calls and zero cost
Use Cases
- →Creating voiceovers for presentations or videos
- →Generating audio narration from written content
- →Cloning a specific voice from a short reference clip
- →Producing speech output when user asks to 'say' or 'speak' something
Best for
- ✓Apple Silicon Mac users
- ✓Offline audio generation
- ✓Voice cloning projects
Not ideal for
- !Non-Apple Silicon systems
- !Real-time speech synthesis
FAQs
name
local-tts
description
Generate speech locally from text using VoxCPM2 (2B params, Apache-2.0). 30 languages,
voice design (describe a voice), voice cloning (from 3-10s reference). Runs 100%
offline on Apple Silicon via Metal (MPS). Zero API calls, zero cost.
Use when user asks to "say" or "speak" something, wants a voiceover, wants to clone
a voice, or wants to generate audio from text. Trigger phrases: "say this",
"read out loud", "clone my voice", "generate voiceover", "text to speech", "TTS".
license
Apache-2.0
allowed-tools:Read, Bash(python3:*), Bash(file:*), Bash(ls:*)
version:1.0.0
author:Bubble Invest <contact@bubbleinvest.com>
compatible-with:claude-code
tags:["tts","voice","audio","voice-cloning","voice-design","offline","apple-silicon","narration"]
user-invocable:true
Local TTS — Offline Text-to-Speech
Generate speech from text using VoxCPM2 locally. 30 languages, voice design, voice cloning. Runs on Apple Silicon via Metal. Apache-2.0, zero cost.
Overview
This skill wraps VoxCPM2 (OpenBMB, Apache-2.0) for local text-to-speech. It supports three modes:
- Default voice — just feed text, get natural speech in 30 languages (auto-detected)
- Voice Design — describe the voice in a parenthetical prefix, get matching speech
- Voice Cloning — provide a 3-10s reference clip, the output mimics the voice
All processing happens on-device. No API keys. No network calls after the initial model download. Output is 48 kHz WAV ready for any use (Telegram voice messages, podcasts, video narration).
Prerequisites
- Python 3.10+ (3.12 recommended)
- macOS with Apple Silicon preferred (M1/M2/M3/M4). Linux with CUDA also works.
- ~10 GB disk space for model weights (downloaded once on first use)
- ~16 GB RAM recommended
The skill expects a Python venv at ~/.local-tts/venv with the voxcpm package installed. If missing, create it:
mkdir -p ~/.local-tts
python3.12 -m venv ~/.local-tts/venv
$install
1-click copynpx skills add jeremylongshore/claude-code-plugins-plus-skills --skill local-ttsSafety assessment
★
Clarity score
How clear and easy to understand the SKILL.md instructions are, rated from 1 to 5.
5/ 5
excellentVery clear and well structured, with almost no room for misunderstanding.
◎
Actionability score
How directly an agent can act on the SKILL.md instructions, rated from 1 to 5.
5/ 5
very highHighly actionable with clear, concrete steps that an agent can follow directly.