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Plagiarism detection without limits

P.L.A.G.U.E. is a web-based plagiarism detection service that can be used by individuals for free.
Despite there are many plagiarism detection tools available, almost all of them do not play with open cards. Our service provides you the latest plagiarism detection algorithms and full control over your submissions. If you like our service, please support us and spread the word. If you need to organize a conference, please check out our main product called Online Registry.

What is plagiarism?

Plagiarism is "the practice of taking someone else's work or ideas and passing them off as one's own"[Source: Oxford Dictionaries] This covers many different areas, such as text, images, fotos, movies, sounds, music, inventions, scientific cognitions, software, etc. However, this service mainly focuses on text-based plagiarism.

What do we offer?

  • A plagiarism detection service without usage limits: We process one document after each other but apart of that, there are no limits in using this service.
  • The service accepts different file formats: PDF, DOC, DOCX, RTF, TXT
  • While analyzing a document, different online databases are searched simultaneously for some automatically selected text terms.
  • A detailed plagiarism detection report will be generated as soon as a document was fully analyzed.
  • Your submission will not be stored or saved on our server after the analysis has been completed.
  • Since the detection may take some time, we optionally notify you via e-mail about the detection results.

Of course a denoted plagiarism does not mean that it is indeed one but it could give you a hint towards plagiarism. This implies that you always have to check your plagiarism detection results manually before you can be sure about a potential plagiarism. By using our service, you automatically accept our terms and conditions.

History and development

This service is part of Online Registry, a professional conference management tool. The service is used by a scientific program comitee to detect potential plagiarism in submitted contributions.