Detection and prevention
of plagiarism
Ouriginal is a tool for higher education institutions, schools and other organizations that, through text recognition with machine learning, analyze documents and detect, prevent and deal with plagiarism.
Plagiarism analysis and detection process
Document submission in the system

The student uploads the document (thesis or paper) to the platform where the existence of plagiarism will be verified. The system can be integrated into the eLearning platform used by the institution.

Comparison with sources

Throughout electronic research, documents are verified in three central sources: internet, materials published in scientific journals and repositories and also works / materials previously sent by other students. In this research, the texts and sources that most correspond to the analysis are highlighted and the data are saved.

Analysis through machine learning

When the document begins to display similarities in text with the content of documents stored on the web, the system signals possible plagiarism. The degree of correspondence is recorded, taking into account the use of explanations, comments and synonyms. The system is constantly expanding and detects the use of synonyms and other substitutions, also comparing content from different languages.


The results are presented in an understandable report that contains all the information necessary for the teacher to determine whether the student has plagiarized.

System benefits

Possibility of integrating the Moodle platform

Teachers or the organization are able to verify that the documents sent are original, which in turn helps to ensure the quality of the knowledge generated within educational institutions.

Completely automated system that saves hours of work by teachers and the institution itself.

It enables more reliable and quality education and research, while contributing to the protection of intellectual property.

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