Analysis updated 2026-05-18
Dictate text with a keyboard shortcut and have it pasted automatically into any application
Use speech to text without sending audio to a cloud service
Speak in Chinese and get translated Japanese text pasted directly using the experimental translation feature
| iamcheyan/chordvoxmini | acip/slack-claude-agent | adii0906/supportiq | |
|---|---|---|---|
| Stars | 1 | 1 | 1 |
| Language | JavaScript | JavaScript | JavaScript |
| Setup difficulty | moderate | moderate | moderate |
| Complexity | 2/5 | 3/5 | 3/5 |
| Audience | general | developer | developer |
Figures from each repo's GitHub metadata at analysis time.
Only verified on macOS, Windows and Linux support is unconfirmed.
ChordVoxMini is a local, offline voice input tool forked from an open source project called ChordVox. Its main goal is to provide free speech to text that runs entirely on your device, with no cloud service, no paid subscription, and no collection of your audio or text data. The core workflow is simple: press a keyboard shortcut to start recording, speak, and the tool transcribes your speech and automatically pastes the result at wherever your cursor is, in any application. This means you do not have to switch windows or copy and paste manually, the text just shows up where you were typing. After transcription, a local AI model polishes the text to remove spoken language habits, filler words, and false starts, producing cleaner written output than a raw transcript would. There is also an experimental offline Chinese to Japanese translation feature, so you can speak in Chinese and have the translated Japanese text pasted directly, without going through a separate translation step or service. On Mac devices with Apple Silicon chips, the tool attempts to use CoreML hardware acceleration to speed up inference and reduce energy use, since running speech recognition and language models on a laptop can otherwise be slow and drain the battery quickly. The project is a personal fork maintained by a single developer and is described as lightly tested. Platform support has only been verified on macOS, compatibility with Windows and Linux has not been confirmed, so anyone outside macOS should expect rough edges or missing functionality. Setup requires Node.js and Python 3, installing dependencies with npm install, and running npm run dev to start the tool in development mode. The project is written in JavaScript and released under the MIT license, so it can be freely used, modified, and redistributed.
A free, fully offline voice dictation tool that transcribes speech and pastes cleaned up text into any app.
Mainly JavaScript. The stack also includes JavaScript, Node.js, Python.
Use freely for any purpose, including commercial use, as long as you keep the copyright notice.
Setup difficulty is rated moderate, with roughly 30min to a first successful run.
Mainly general.
This repo across BitVibe Labs
Verify against the repo before relying on details.