Plagiarism detection refers to the process of identifying instances where an author's work improperly incorporates or copies content from other sources without proper attribution. In academic publishing, ensuring originality and intellectual integrity is paramount, and plagiarism detection tools help editors and reviewers identify potential ethical violations. These tools compare submitted manuscripts against vast databases of published work, websites, and other documents to detect similarities. Plagiarism detection is critical for maintaining the credibility of scholarly publications, preventing duplicate submissions, and protecting authors’ intellectual property. Journals typically run every manuscript through plagiarism detection software during the submission process to avoid reputational damage and legal issues. Instances of plagiarism can range from direct copying to more subtle forms, such as paraphrasing without citation. Common tools used for this purpose include Turnitin, iThenticate, and PlagScan. By enforcing strict anti-plagiarism policies, academic publishers safeguard the integrity of the academic record and ensure trust in the peer-review process.