Easily create Piper text-to-speech models in any voice. Make a text-to-speech model with your own voice recordings, or use thousands of RVC voices. Works offline on a Raspberry pi. Rapidly record custom datasets for any metadata.csv file and listen to your model as it is training.

🎙️ VoxSherpa TTS Offline Neural Text-to-Speech Engine for Android ⚡ Sherpa-ONNX powered 🔊 Natural voice synthesis 📱 Fully offline processing 🚀 No cloud • No limits

Converts ebooks into audiobooks with piper-tts

Private, offline AI Text-to-Speech for Android with Kokoro, KittenTTS, Pocket-tts and Piper models.

Open source Speechify alternative. Read PDFs and EPUBs with local models.

Wyoming Piper docker container with GPU support for Home-Assistant

Fast, in-process text to speech for Java

go-speech 基于 Golang + ONNX 构建的轻量语音库，支持 TTS（文本转语音）与 ASR（语音转文字）。已集成 MeloTTS、Piper、达摩院 Paraformer 架构模型、Whisper 模型。

The original Piper(https://github.com/OHF-Voice/piper1-gpl), now on iOS and macOS

This project combines embedded system and AI inference to create an end-to-end conversational experience.

Real-time voice translator for video calls. Speak your language on Google Meet, Zoom, or any call app — the other person hears translated speech instantly. Speech-to-speech translation with Deepgram STT, Groq LLM, and Piper TTS. 29 languages, local neural TTS, call history with AI summaries. Elixir + Rust + Python. macOS.

text to speech for vim using piper

Real-time system audio translation for macOS — translate any audio (YouTube, podcasts, meetings) live on screen with OpenAI or Google Gemini. On-device speech recognition; optional low-latency realtime mode.

Conversational AI, local, low-latency voice assistant for Raspberry Pi 5 with LED, gesture control, and streaming LLM replies.

Next-gen AI language tutor utilizing a novel Trace-CAG pipeline for zero-hallucination pedagogical feedback

Voice models for Piper TTS trained using TextyMcSpeechy

Small AI companion robot firmware for M5Stack AtomS3R using local STT, LLM, and TTS services.

J.A.R.V.I.S. — Local AI Assistant for KDE Plasma 6 A privacy-focused, offline digital assistant inspired by Iron Man. Features integrated LLM chat via llama.cpp, voice commands with whisper.cpp, Piper TTS, and real-time system monitoring. Built with C++ and QML for seamless Plasma integration.

Automatic video translator and dubber using Whisper, XTTS v2 for voice cloning, and Ollama for local LLM translation. Supports 100+ languages.

Offline-first TTS models for African languages