murmur

janisbelozerovs-dev

Murmur 是一款开源、完全在设备端运行的 macOS 语音听写应用，支持按键讲话、两种离线识别引擎，并注重隐私保护。

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开放 Issue

开源协议

MIT

为什么值得关注

它提供无限制、私密的语音听写，无需云端或订阅，使用 Apple 的设备端模型和可选的 Whisper 引擎，并具备发音学习与文本清理功能。

适合谁使用

注重隐私的专业人士
需要离线听写的作家和记者
喜欢开源工具的开发者
macOS 高级用户，希望自定义听写体验

典型使用场景

在任何 macOS 应用中免提输入文本
使用自定义词汇（如医学术语或技术术语）进行听写
快速格式化、清理和改写文本的语气
将口语笔记转换为结构化提示

项目优势

完全设备端处理，确保隐私安全
两种离线引擎可选：Apple 即时引擎或 Whisper 高精度引擎
发音学习功能可随使用逐步优化识别效果
内置文本清理管道、按应用风格调整和文本转换功能

使用前须知

需要 macOS 26 (Tahoe) 和 Apple Silicon 芯片
风格和转换功能依赖 Apple Intelligence 启用
初始使用需从源码构建并手动授予麦克风和无障碍权限

README 快速开始

Murmur 🎙️

Private, unlimited voice dictation for macOS — 100% on-device.

Hold fn, speak, release — clean text appears at your cursor in any app. No cloud, no subscription, no word limits. Your audio and transcripts never leave your Mac.

Murmur is an open-source, fully local take on the modern AI dictation app (in the spirit of Wispr Flow), built natively in Swift on Apple's on-device speech and language models, with an optional local Whisper engine.

Features

Push-to-talk dictation — hold fn (or right ⌥) anywhere; release to paste at your cursor. Double-tap for hands-free mode.
Two recognition engines, both offline:
- Apple — instant, built into macOS (SpeechAnalyzer, macOS 26).
- Whisper — optional precision engine via WhisperKit (CoreML on the Neural Engine). Your vocabulary is fed into the decoder prompt.
Pronunciation learning — a Voice Training page learns how you say tricky words; corrections you make to transcripts are diffed and learned automatically; everything biases future recognition.
Cleanup pipeline — filler-word removal, spoken "new line"/"new paragraph", auto-capitalization, personal dictionary, snippets (say a trigger phrase → paste a saved block).
Styles — per-app tone rewriting (formal / casual / very casual) using Apple Intelligence's on-device model.
Transforms — select text in any app, press ⌥1 to polish grammar or ⌥2 to turn rough notes into a structured AI prompt, rewritten in place.
Dashboard — history with search and correction-learning, usage stats (words, WPM, day streak), insights chart, a Voice Profile persona derived locally from what you dictate, scratchpad.

Requirements

macOS 26 (Tahoe) or newer
Apple Silicon Mac
Xcode 26 command-line tools (xcode-select --install)
For Styles / Transforms / Voice Profile: Apple Intelligence enabled
For the Whisper engine: a one-time model download (150 MB – 1.6 GB)

Build & run

git clone 
cd murmur
./scripts/make_app.sh     # builds build/Murmur.app
open build/Murmur.app

Optional: run ./scripts/make_signing_cert.sh once to create a local self-signed signing certificate — this keeps macOS permission grants valid across rebuilds. Without it the app is ad-hoc signed and you'll need to re-grant Accessibility after each

项目描述

Private, on-device voice dictation for macOS