tisfeng/easydict

一个简洁优雅的词典翻译 macOS App。开箱即用,支持离线 OCR 识别,支持有道词典,🍎 苹果系统词典,🍎 苹果系统翻译,OpenAI,Gemini,DeepL,Google,Bing,腾讯,百度,阿里,小牛,彩云和火山翻译。A concise and elegant Dictionary and...

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Summary Information

Updated 43 minutes ago
Added to GitGenius on September 4th, 2026
Created on November 15th, 2022
Open Issues & Pull Requests: 178 (+0)
GitHub issues: Enabled
Number of forks: 737
Total Stargazers: 14,510 (+1)
Total Subscribers: 46 (+0)

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Detailed Description

Easydict is a dictionary and translation macOS application that provides quick word lookup and text translation through a unified interface.

The tool solves the problem of switching between multiple translation services by aggregating results from over twenty providers including Apple Dictionary, Apple Translate, OpenAI, Gemini, DeepL, Google Translate, Youdao, Tencent, Bing, Baidu, Alibaba, and others. It works by automatically detecting input language and allowing users to query multiple translation services simultaneously. The application supports three input modes: direct text input, selection-based translation via mouse and keyboard shortcuts, and optical character recognition for screenshot translation. It includes offline OCR capability and text-to-speech functionality across multiple voice services.

Easydict suits macOS users who frequently need to look up words or translate text and want to avoid juggling separate translation tools. It works well for anyone who benefits from comparing results across different translation engines or who needs offline OCR capability. The application is designed for immediate use without configuration, though it supports integration with various paid translation APIs for enhanced functionality. Users working primarily on other operating systems will not find this tool applicable.

The project shows active maintenance with regular updates addressing user feedback and expanding translator support. Development includes ongoing refinement of the user interface and addition of new translation service integrations. The codebase demonstrates attention to macOS platform conventions and native system integration features.