A lightweight desktop translator that translates and speaks text using multiple online translation APIs.
Crow Translate is a lightweight desktop translator that allows users to quickly translate and speak text using multiple online translation APIs like Google, Yandex, Bing, LibreTranslate, and Lingva. It solves the problem of needing fast, convenient translations without switching to a web browser, offering both GUI and CLI interfaces.
Desktop users, particularly on Linux and Windows, who frequently need quick translations, developers who prefer keyboard-driven tools, and anyone wanting offline-like translation convenience without browser overhead.
Developers choose Crow Translate for its minimal resource footprint, support for multiple translation engines, robust global shortcut system, and dual GUI/CLI functionality—all packaged in a simple, open-source desktop application.
A simple and lightweight translator that allows you to translate and speak text using Google, Yandex Bing, LibreTranslate and Lingva.
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Supports five translation APIs (Google, Yandex, Bing, LibreTranslate, Lingva), allowing users to switch based on accuracy, language support, or privacy preferences.
Consumes minimal memory (~20MB while running), making it efficient for background use without slowing down desktop systems.
Offers highly customizable global keyboard shortcuts for quick translations and text-to-speech, enhancing productivity for keyboard-driven workflows.
Provides both a GUI for interactive use and a rich CLI with options like JSON output and file reading, enabling scripting and automation tasks.
Global shortcuts don't work natively on Wayland; users must manually configure D-Bus commands in system settings, which is cumbersome and less user-friendly.
Requires multiple dependencies like Tesseract for OCR and specific Qt modules, complicating installation and building from source on some systems.
Only available for Linux and Windows, with no macOS version, excluding a significant portion of desktop users from using the tool natively.