What is Unicheck in Online@UT (Canvas)?

Unicheck is a software resource designed to help students avoid plagiarism and improper citation. The software encourages original writing and proper citation practices by cross-referencing submitted materials against other submitted papers, the Internet, and numerous published journals, newspapers, and magazine articles. The Unicheck tool is fully integrated into Online@UT (Canvas) and does not require additional software.

Unicheck Assignments can deter plagiarism by creating opportunities to educate students on proper citation and attribution, while providing a powerful tool to detect blatant plagiarism in student papers.

How Does Unicheck Work?

Through its similarity detection engine, Unicheck scans submitted files across a real-time web index (4.75+ billion pages), open access repositories, journals, and documents stored in our institutional account.

Unicheck Features Explained

  • Clear & Visually Appealing Layout - Time is priceless. You need to spot them all at once. Each matching sentence or passage. Unicheck highlights them in yellow. So, you will have an idea of what needs citing at a glance.
  • Sources with Highlighted Matches - Every time a plagiarism check is completed, Unicheck delivers a list of links. They lead to matching sources. And yes, text similarities there are also highlighted.
  • Citations and References Detection - All correctly formatted citations and references shouldn’t be considered plagiarism and affect your similarity score. Unicheck can detect and skip them. It recognizes MLA, APA, Chicago, Turabian, and Harvard.
  • Being File-Format Friendly - No need to search for a file converter. We support 99% of text formats including .doc, .docx, .rtf, .txt, .odt, .html, .pdf, .ppt, .pptx, .odp, .htm, .xls, .xlsx, .ods, and Mac pages. Also, files can be packed into a .zip archive and checked in bulk.
  • Unicheck Speaks Your Language - Unicheck can find similarities in English, Spanish, German, French. This is not an entire list of supported languages.


Article ID: 118771
Tue 10/20/20 12:05 PM
Mon 2/21/22 4:25 PM