Ouriginal is constantly evolving and re-inventing itself to offer an optimal solution to our customers.
Our tools can seamlessly integrate into your current workflow without having to change how you work. Ouriginal can be integrated with an ever-increasing list of learning management systems and eLearning tools with whom we partner.
This feature takes stylometry to the next level. By using pre-defined quantitative parameters, the software can analyzedifferent writing styles and identify writer patterns which can then be used to verify the authorship of a document to deter ghost writing/ contract cheating.
This feature helps identify matching text even when it has been translated from another language. Ouriginal software can detect similarities in a text irrespective of language.
We are committed to expanding our comprehensive database to ensure it remains relevant and current for our clients. In addition to open access content available on the internet, our editorial strategy includes the aggregation of important scholarly content from academic publishers such as Springer, Taylor & Francis, Wiley, IEEE and Gale/Cengage.
False positives can greatly undermine the overall analysis and can make it increasingly frustrating for a user to evaluate the originality of a text. Ouriginal’s machine learning algorithms identify false positives and remove them from the analysis, thereby enhancing the accuracy of the findings.
Our analysis report is detailed and presents the findings in an easily readable format. The report highlights the matches in text in the submitted document and lists the most relevant sources to the matched content.
Look at our sample report here.
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