Text Analyzer is a beta version of a tool build by JSTOR labs that allows researchers to find content on JSTOR by uploading a document. It may help you explore new topics, find new keywords for future searching or find documents not picked up by a traditional search.

How it works

You upload a document with text in it, for example:

•  an assignment outline
• an essay you are writing
• an article you have downloaded
• an image of a page from a book. 

The tool analyses the text to determine key topics and terms. t does this without saving, storing or sharing the uploaded text. It then uses these "prioritized" terms to find similar content in JSTOR.   

You can adjust the results by adding, removing or changing the importance of the prioritized terms and download any articles you are interested in.

Hints:

• The more text in the document you upload the better.
• Add your own term or phrase if you are not seeing it.
• If you access Text Analyzer using your phone, a camera icon will appear — use it to take a picture of any page of text and search with that.
• To run Text Analyzer on the text of a webpage — whether it's a Google Doc or a NY Times article — drag and drop or paste the URL into the search box.

Supported file types:

You can upload most file types including: csv, doc, docx, gif, htm, html, jpg, jpeg, json, pdf, png, pptx, rtf, tif (tiff), txt, xlsx. If the file type you're using isn't in this list, just cut and paste any amount of text into the search form to analyze it.

Go to Text Analyzer

Go the top right of the page and click on Tools, then select Text Analyzer from the drop-down menu.