Quetext’s DeepSearch™ technology is powered by Natural Language Processing (NLP) and analyzes submitted text against billions of academic papers, web pages, and published books. Unlike traditional keyword-based tools, DeepSearch™ evaluates the semantic meaning of sentences, enabling it to identify paraphrased content and similarities that simpler tools may overlook.
The system divides a document into overlapping fragments, analyzes each one individually, and cross-references the results to generate a color-coded report highlighting exact matches and similar passages. This approach makes it much more effective at detecting forms of plagiarism such as patchwriting. Learn how similarity reports work in our post on what is a plagiarism test. Try it yourself with Quetext's Plagiarism Checker.