Text Analyzer is a beta tool built by JSTOR Labs. With it, researchers can search for content on JSTOR just by uploading a document.

Text Analyzer, developed by JSTOR Labs, represents a significant innovation in the realm of academic research and digital humanities. By allowing researchers to upload a document, the tool intelligently analyzes the content of that document to understand its context and main themes. Subsequently, it leverages this understanding to search through JSTOR's extensive database of academic journals, books, and primary sources to find relevant content. This functionality can significantly streamline the research process, enabling scholars to discover pertinent literature and sources they might not have found through traditional search methods. It's particularly beneficial for interdisciplinary research where keywords might not capture the nuanced connections between different fields. As a beta tool, it may still be undergoing refinements and improvements based on user feedback and technological advancements.