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  1. Kiwix is an offline reader for online content like Wikipedia, Project Gutenberg, or TED Talks. It makes knowledge available to people with no or limited internet access. The software as well as the content is free to use for anyone.

  2. › en › downloadsDownloadsKiwix

    Our content packages (aka zim files) are exact copies of the best free content available on the Web to use offline: Wikipedia, Wiktionary, Project Gutenberg, and many more coming every month. More than a 1,000 files to chose from, in 100+ languages! More Custom Apps

  3. Oct 13, 2008 · The Wikimedia Foundation has set up an offline Wikipedia version themselves understanding this need. The English version with a collection of about 2000 pages can be had in the form of a CD (an ISO file). But it comes at a cost of $13.99. The penny pinchers among us have to put in a bit more effort and megabytes.

  4. Mar 25, 2022 · Download Wikipedia Using Kiwix Kiwix is an open-source application that allows you to download all of Wikipedia, including images, with just a few clicks. It can also download almost any wiki-based website, and supports a tool to grab other websites you might want to save offline.

  5. XOWA is a free, open-source application that helps download Wikipedia to a computer. Access all of Wikipedia offline, without an internet connection! It is currently in the beta stage of development, but is functional. It is available for download here. Features. Displays all articles from Wikipedia without an internet connection.

  6. www.wikipedia.orgWikipedia

    Download Wikipedia for Android or iOS Save your favorite articles to read offline, sync your reading lists across devices and customize your reading experience with the official Wikipedia app. Google Play Store; Apple App Store

  7. Feb 17, 2016 · Step 1: Download and extract WikiTaxi’s zipped archive, and run the WikiTaxi_Importer application. As the name suggests, it lets you import the downloaded Wikipedia dumps, and create a WikiTaxi database from them. You can also configure the RAM to be used for the process (for bigger sized dumps).

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