Mouse Dictionary is a super fast browser dictionary.
Features:
- ⚡ Super quick response time (1/60 second)
- 💡 Smart phrase detection
- 🔍 Automatic word separation (e.g. camelCase -> camel case)
- 📝 Option to add your own data
- 🎨 Customizable view
Available for various documents:
- HTML
- YouTube captions
- Notion
- Evernote (Use with Mouse Dictionary iframe support)
- ...
- For Chrome
- For Firefox
- For Safari (See #53)
See also Getting started
Want to use for the German language? Take a look these great articles!
Use Node.js 22+.
npm installFor Chrome:
npm run build-chrome # Debug build
npm run release-chrome # Release buildFor Firefox:
npm run build-firefox # Debug build
npm run release-firefox # Release buildFor Safari:
npm run build-safari # Debug build
npm run release-safari # Release buildsee package.json for other commands.
For the moment, Mouse Dictionary project doesn't have any strict rule about contribution. Feel free to create any issues and pull requests.
Some guides:
- Editor: the main developer uses VSCode
- Before you commit: try running
npm run testandnpm run lint
Mouse Dictionary supports receiving cross-extension messages. Mouse Dictionary iframe support is a good example that implements message sending to this extension.
Here is a code example for sending a message to Mouse Dictionary. You can make Mouse Dictionary look up words/expressions from other extensions.
const MD_EXTENSION_ID = "dnclbikcihnpjohihfcmmldgkjnebgnj";
chrome.runtime.sendMessage(MD_EXTENSION_ID, {
type: "text",
text: "rained cats and dogs",
});Parameters:
| name | type | value |
|---|---|---|
| type | string | must be "text" |
| text | string | text you want to look up |
Mouse Dictionary is published under the MIT license.
This project includes some third-party data:
- ejdict-hand (Public Domain)
- Mouse Dictionary's built-in PDF viewer is based on PDF.js (Apache-2.0)
- See package.json and license.html
Chrome 拡張の高速な英語辞書ツールをつくりました(a Japanese tutorial)



