 Welcome to this brief introduction to the Extract tool. Extract is a real-time text mining system that allows you to run name-density recognition within your web browser. If you're not already familiar with text mining or name-density recognition, I strongly recommend that you go watch my short introduction to the core concepts of biomedical text mining first. The functionality of Extract comes in the form of a bookmarklet that allows you to run text mining on any web page that you have opened in your browser. It can be used in two ways. First, with a single click, you can text mine a full page and have Extract highlight terms within the page. The result looks like this, a web page in which different entities have been highlighted in colors representing their entity types. This is useful to spot relevant sections quickly within a paper. Second, you can use Extract to text mine only a selection. In this case, you first select some text within a page and then click the bookmarklet and get a pop-up. The pop-up provides several functionalities. It shows the text that you selected with terms highlighted within it and below that it has a table that lists the entities along with their database identifiers. You can also copy this information to the clipboard or save it to a file. This is intended to help speed up curation allowing you to quickly gather information from articles. Technically, Extract works as a bookmarklet that sends HTML code from your browser to a named entity recognition web service that we are hosting. This web service sends back modified HTML code in which the entities have been highlighted. For this reason, Extract obviously only works on HTML pages. However, there is a related tool called onthefly in which you can upload documents such as PDF files which are then converted to HTML and sent to the same web service used by Extract. To install Extract, you simply need to go to extract.jensenlab.org and drag the bookmarklet link onto your bookmark bar. However, the bookmark bar is often hidden by default. How to enable it depends on the browser you are using In most cases, you should go to the View menu and look for an item called Show Bookmarks Bar, Show Favorites Bar or something equivalent in your language if your browser is not running in English. That's all I wanted to say about the Extract tool. If you want to learn more about text mining, I recommend that you go watch this presentation next. Thanks for your attention.