k2-fsa/sherpa-onnx

It also supports WebAssembly.

• Pre-built Flutter demo apps: flutter releases

• Pre-built Tauri demo apps: tauri releases

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This repository supports running the following functions locally

• Speech-to-text (i.e., ASR); both streaming and non-streaming are supported
• Text-to-speech (i.e., TTS)
• Speaker diarization
• Speaker identification
• Speaker verification
• Spoken language identification
• Audio tagging
• VAD (e.g., silero-vad)
• Speech enhancement (e.g., gtcrn, DPDFNet)
• Keyword spotting
• Source separation (e.g., spleeter, UVR)

on the following platforms and operating systems:

• x86, x86_64, 32-bit ARM, 64-bit ARM (arm64, aarch64), RISC-V (riscv64), RK NPU, Ascend NPU
• Linux, macOS, Windows, openKylin
• Android, WearOS
• iOS
• HarmonyOS
• NodeJS
• WebAssembly
• NVIDIA Jetson Orin NX (Support running on both CPU and GPU)
• NVIDIA Jetson Nano B01 (Support running on both CPU and GPU)
• Raspberry Pi
• RV1126
• LicheePi4A
• VisionFive 2
• 旭日X3派
• 爱芯派
• RK3588
• SpacemiT-K1
• SpacemiT-K3
• etc

with the following APIs

• C++, C, Python, Go, C#
• Java, Kotlin, JavaScript
• Swift, Rust
• Dart, Object Pascal

• Documentation: https://k2-fsa.github.io/sherpa/onnx/
• Bilibili 演示视频: https://search.bilibili.com/all?keyword=%E6%96%B0%E4%B8%80%E4%BB%A3Kaldi

Please see https://k2-fsa.github.io/sherpa/social-groups.html for 新一代 Kaldi 微信交流群 and QQ 交流群.

React Native wrapper and demo app for validating sherpa-onnx on iOS, Android, and Web, including ASR, TTS, VAD, KWS, speaker ID, diarization, language ID, punctuation, audio tagging, and speech enhancement.

• NPM package
• Live demo

A voice-typing application for the Linux desktop (GTK4/Adwaita). It captures microphone audio, transcribes it offline using Sherpa ONNX ASR models, optionally polishes the text with an LLM, and types the result into the active window via XDG Remote Desktop Portal keyboard simulation.

VoxSherpa TTS is a 100% offline Android Text-to-Speech app powered by Sherpa-ONNX. It supports Kokoro-82M, Piper, and VITS engines with multilingual support including Hindi, English, British English, Japanese, Chinese and 50+ more languages.

• Download APK (All Versions)
• Android 11+ · 100% offline · No telemetry

Generate	Models	Library	Settings

BreezeAPP is a mobile AI application developed for both Android and iOS platforms. Users can download it directly from the App Store and enjoy a variety of features offline, including speech-to-text, text-to-speech, text-based chatbot interactions, and image question-answering

• Download APK for BreezeAPP
• APK 中国镜像

1	2	3

Talk to any LLM with hands-free voice interaction, voice interruption, and Live2D taking face running locally across platforms

See also https://github.com/t41372/Open-LLM-VTuber/pull/50

Uses streaming ASR in C# with graphical user interface.

Video demo in Chinese: 【开源】Windows实时字幕软件（网课/开会必备）

It uses the JavaScript API of sherpa-onnx along with Electron

Video demo in Chinese: 爆了！炫神教你开打字挂！真正影响胜率的英雄联盟工具！英雄联盟的最后一块拼图！和游戏中的每个人无障碍沟通！

A server based on nodejs providing Restful API for speech recognition.

一个模块化，全过程可离线，低占用率的对话机器人/智能音箱

It uses QT. Both ASR and TTS are used.

It extends ./flutter-examples/streaming_asr by downloading models inside the app to reduce the size of the app.

Note: [Team B] Sherpa AI backend also uses sherpa-onnx in a Flutter APP.

sherpa-onnx in Unity. See also #1695, #1892, and #1859

本项目为xiaozhi-esp32提供后端服务，帮助您快速搭建ESP32设备控制服务器 Backend service for xiaozhi-esp32, helps you quickly build an ESP32 device control server.

See also

• ASR新增轻量级sherpa-onnx-asr
• feat: ASR增加sherpa-onnx模型

Pure Python, GUI-focused home automation/consumer grade SCADA.

It uses TTS from sherpa-onnx. See also ✨ Speak command that uses the new globally configured TTS model.

Enable custom wake word for XiaoAi Speakers. 让小爱音箱支持自定义唤醒词。

Video demo in Chinese: 小爱同学启动～˶╹ꇴ╹˶！

It provides a WebSocket server based on C++ for ASR using sherpa-onnx.

It provides a WebSocket server based on the Go programming language for sherpa-onnx.

It is a YouTube video, showing how the author tried to use AI so he can have a conversation with Paimon.

It uses sherpa-onnx for speech-to-text and text-to-speech.

1

A desktop text-to-speech application built using Kotlin Multiplatform.

Smart glasses OS, with dozens of built-in apps. Users get AI assistant, notifications, translation, screen mirror, captions, and more. Devs get to write 1 app that runs on any pair of smart glasses.

It uses sherpa-onnx for real-time speech recognition on iOS and Android devices. See also Mentra-Community/MentraOS#861

It uses Swift for iOS and Java for Android.

Flet ASR/STT component based on sherpa-onnx. Example a chat box agent

a multimodal chatbot based on go with sherpa-onnx's speech lib api.

Local offline voice input plugin for Fcitx5 (Linux input method framework). It uses C++ with offline ASR for speech recognition, supporting push-to-talk, command mode, and optional LLM post-processing.

Video demo in Chinese: fcitx5-vinput

A VS Code extension for hands-free voice-activated coding. It uses sherpa-onnx for real-time keyword spotting (KWS) to detect custom wake phrases and trigger VS Code commands by voice. Audio capture is handled by decibri, a cross-platform Node.js microphone streaming library with prebuilt native binaries.

• VS Code Marketplace
• Open VSX
• decibri integration guides for sherpa-onnx

SmartSub is a local-first cross-platform desktop application for the complete subtitle production pipeline: audio/video transcription, subtitle translation, proofreading, and subtitle burning/muxing.

It natively integrates sherpa-onnx to power three offline ASR engines — FunASR, Qwen3-ASR, and FireRedASR — delivering high-accuracy Chinese and multilingual speech recognition entirely on-device, with no file uploads required.

Talk to your computer. Fono is an open-source (GPL-3.0), complete voice-AI stack (speech-to-text, text-to-speech, a local LLM, wake word, speaker ID) in one small binary for the Linux, macOS, and Windows desktop. Press a key and speak: it types into any app, answers as a voice assistant, or drives a coding agent.

It uses sherpa-onnx's Supertonic TTS models for text-to-speech, with the Supertonic text frontend ported to Rust. See also #3750, which fixes dropped diacritics in the Supertonic frontend for Romanian, Czech, Polish, Hungarian, Turkish, Vietnamese, and other non-English Latin-script languages.

Domia is an open-source local AI companion you talk to, living entirely on hardware you own. Each Domia is its own character, with a distinct personality, voice, emotional state, and memory of you and its place — and it acts, not just talks: skills connect it to the real world over MCP, Home Assistant included. Domia nodes form a local peer-to-peer mesh that shares speech and reasoning compute, while room satellites bring each companion into the spaces where you live without giving up its identity. No cloud, no accounts, and no data leaving your network.

Domia runs sherpa-onnx in-process for keyword spotting, voice activity detection, streaming and offline speech recognition, and text-to-speech. Speech engines and models are selected through per-companion configuration, making it easy to match supported sherpa-onnx models to different hardware.

A realtime full-duplex voice runtime for AI coding agents (Claude Code, Codex, OpenCode, and other ACP agents). It uses sherpa-onnx keyword spotting with the 3M-parameter zh-en transducer model to implement a local voice wake word: the app sleeps on idle but keeps the microphone open, and the wake phrase brings the session back with no cloud calls.

An open-source recorder for Galaxy Watch, Android, Apple Watch, iPhone, macOS, and Windows. Recordings go to the user's own Google Drive; there is no Recly server. The Android phone app (which also transcribes Galaxy Watch recordings) and the Windows app use sherpa-onnx for on-device transcription: Silero VAD splits each recording into speech segments, and sherpa-onnx's INT8 export of Qwen3-ASR 0.6B transcribes them. The ~1 GB model is downloaded on demand.

The Android App (version >= 12.14.1 (2026.07.28)) uses sherpa-onnx Kotlin API for keyword spotting.

The Android App (version >= 3.5.46 (2026.03.23)) uses sherpa-onnx Kotlin API for keyword spotting.

It uses the JavaScript npm package sherpa-onnx-node with SenseVoice for local speech recognition.