Anki add-on: Web Browser - Search terms, Import texts and images automatically

The Anki Web Browser is a simple Internet Browser within Anki (as the name suggests). It aims to make it easy when you are studying or editing a card and want to look something up on the internet. You can also use it to open up your system desktop instead of the embedded browser (from version 1.1) For instance, you are studying a foreign language and suddenly there is a word which you haven't understood it properly. In such case it's common to shift to the web browser and make search for the term there. This addon makes this task smoother. Therefore, this addon provides 2 functionalities: Search the some text on a website Import text and images directly from a website to a given card Using The functions of this addon are accessed through the context menu (either right click on mouse or right menu key on the keyboard) or using shortcuts. Search selected text While studying or editing a given card: Select a word or sentence Right click (or use the shortcut) Search on Web Select the desired provider Then a new window with the web browser will be opened, if it isn't opened yet (or a new tab on your external web browser) More detailed documentation (configuration, editing...) Please check the documentation at Github . This one here is not complete Updates 2025.04-1 | 30/Apr/25 Edit notes (cards) directly during the review (It's possible to add texts only in the review stage) Web Browser attached to main Window (Dock bar) Technical changes: Modified integration with Anki The original integration is legacy. This new way aims to reduce un-expected bugs Change integration with DarkReader ... Added new shortcuts (back, forward, next / previous tab) ( https://github.com/ssricardo/anki-web-browser/wiki/Keyboard-short-cuts ) If you like it, consider buying me a coffee :)

GitHub repository: ssricardo/anki-web-browser
Repository description: Add-on for the desktop application Anki
Languages: JavaScript, Python, HTML, CSS
Topics: anki, anki-addon, pyqt, python