FAQ
Turnitin is the premier tool for researchers and professional writers to check their original works for potential plagiarism. With an easy to use submission process that checks for similarity against the world’s top published works, researchers, and institutions can feel confident that their academic reputation will be protected.
Only Turnitin is embedded into top publisher’s workflow and process. Through our trusted partnership with Crossref, 1,500 publishers license Turnitin and rely on it to check for plagiarism when screening and reviewing article submissions. Institutions and researchers can feel much more confident about their submission and acceptance chances, knowing that by using Turnitin they have the same data and information as the publisher.
Yes. For Admissions offices, Turnitin has an easy to use submission process that checks incoming application documents (essays, short answers, letters of recommendation, etc) for similarity against the world’s top published works and a repository of more than 90 billion current and archived web pages. The written portions of the application packet are the most subjective and take the most time to review, so having a solution that provides a quantifiable metric without increasing the review time helps to protect your reputation while fitting seamlessly into your current application review process.
Turnitin compares submissions to premium academic content including: premium scholarly journals, books, law reviews, patents, dissertations & theses, pre-prints, conference proceedings, and internet pages. Learn more about our constantly growing database of content.
If desired, a private repository can be established to store your documents. Administrators can choose whether storing to the private repository is enabled for all users. Every user can choose to store their uploaded document into the private repository. The private repository can be searched against to discover text similarity across the items uploaded at your institution. This can be valuable in detecting research misconduct including self plagiarism.
There are a variety of ways to submit a document: Upload a single file, Upload a compressed zip file (may contain up to 1000 files, or 100MB), or Cut & Paste text. For complete instructions, visit our help pages.
The file may not exceed 800 pages. The file size may not exceed 100 MB. The word count of one submission should not exceed 25,000 words. Files of larger size may be reduced in size by removal of non-text content. Files that are password protected, encrypted, hidden, system files, or read only files cannot be uploaded or submitted to Turnitin.
The zip file upload accepts up to 1000 files or 200MB of zipped information. A zip file to be uploaded may not exceed either limit. Zip files should be checked to ensure only usable file formats are included in the upload.
The Turnitin interface currently supports the following languages: English, Korean, Japanese, German, Spanish Latin American, Brazilian Portuguese, Dutch, Italian, French, Simplified and Traditional Chinese, and Arabic.
Turnitin searches for content matches in over 170 languages including Chinese (simplified and traditional), Japanese, Thai, Korean, Catalan, Croatian, Czech, Danish, Dutch, Finnish, French, German, Hungarian, Italian, Norwegian (Bokmal, Nynorsk), Polish, Portuguese, Romanian, Serbian, Slovak, Slovenian, Spanish, Swedish, Arabic, Greek, Hebrew, Farsi, Russian, and Turkish. Please note that Turnitin will match text between text of the same language.
Results are usually delivered within one minute to several minutes, depending on document length.
Turnitin percentage refers to the amount of matching or similar text that was uncovered in a submission. The percentage range is 0% to 100%. The percentage score is shown next to a student’s name under the Similarity column in the Assignment Inbox. The displayed percentage indicates the amount of qualifying text within the submission that Turnitin’s AI writing detection model determines was generated by AI.
CORE is the world's largest collection of open access repository metadata. Through our partnership with CORE, we are able to identify and index top academic content from open access repositories to include in our content database.
