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Well, give it a good name, make sure it is the correct format and in the largest available size, upload it, add the correct image tags, including source and description, and add it to the desired article(s). If possible upload it at the Wikimedia Commons, so the image is available also for other Wikimedia projects.
A visual search engine is a search engine designed to search for information on the World Wide Web through a reverse image search. Information may consist of web pages, locations, other images and other types of documents. This type of search engines is mostly used to search on the mobile Internet through an image of an unknown object (unknown ...
Under Site search, click Add and choose a name and keyword for Wikipedia search. (for example, the keyword can be "wiki") (for example, the keyword can be "wiki") You will use the keyword in the address bar to search Wikipedia directly by typing the keyword and then either tab or space depending on your settings.
Method 1: Google Images From a Desktop Computer. If you use Google Chrome as your primary browser, the easiest way to complete a reverse image search is through Google Images. Just right-click the ...
Copernix.io is a geographical search engine allowing users to search places and information from Wikipedia on a map. Users can leave the search bar empty to see all pages within an area or type a query to get subject specific information. Some useful examples can be found at: Copernix examples and about.
Available for Android, Linux, iOS, Mac OS X, Windows . GoldenDict - multiplatform dictionary browser with native support for Wikipedia, Wiktionary, the Wikimedia projects, and any MediaWiki -based website. (Experimental Kiwix zim support is in git master.) Distracted Reader – Browser extension for Firefox and Chrome for fast search and ...
The search engine that helps you find exactly what you're looking for. Find the most relevant information, video, images, and answers from all across the Web.
Image search is a specialized data search used to find images. To search for images, a user may provide query terms such as keyword, image file/link, or click on some image, and the system will return images "similar" to the query. The similarity used for search criteria could be meta tags, color distribution in images, region/shape attributes ...