Plagiarism is one of the issues occurring mostly in academic community. Plagiarism is the "wrongful appropriation" and "stealing and publication" of another author’s language, thoughts, ideas, or expressions and the representation of them as one's own original work. People plagiarize under various circumstances but it does not justify the doing; posing someone else’s work as yours is equivalent to theft. So, In order to find out the plagiarized document, plagiarism checker is used which checks each and every document and displays the percentage of similarities of the file content. This project makes use of Smith Waterman Algorithm which performs local sequence alignment; that is, for determining similar regions between two strings or nucleotide or protein sequences. Instead of looking at the total sequence, the Smith–Waterman algorithm compares segments of all possible lengths and optimizes the similarity measure. This plagiarism detection is useful for academic purposes in schools, universities to check the plagiarism between documents so that wrong people would not be praised and the correct ones would not be de moralized.