Single-language Similarity Detection
Check submissions against a huge database of published work and online in more than 30 languages.
Data
Your institution will have full control over the data created by your institutional users.
Inspera Originality
Similarity and AI Detection
We’re putting Academic Integrity Into the Hands of Academics, Where it Belongs.
With similarity and AI-generated text detection tools, you’ll have all the information you need to maintain academic standards to decide whether a submission is properly referenced or falls into the category of plagiarism.
Benefits
How Does Inspera Originality Work?
Inspera Originality gives you the power to check student submissions against existing source material in multiple languages. This is a whole new level of originality checking.
With our combination of advanced matching algorithms and translation capabilities, you’ll get a detailed view of potential similarities to review so you can make an informed decision as to whether a submission has properly referenced sources or contains plagiarised material.
Cross-Lingual Similarity Checking
Delve deeper by checking submissions for translation plagiarism in more than 100 language pairs.
AI-generated Content Detection
Optionally, you can gain insight as to whether a submission contains AI-generated content.
Features
Why Choose Inspera Originality?
Translation Similarity Detection
Proven to be the only product to effectively detect similarities translated from one language to another.
Fewer False Positives
Advanced similarity parameters enhance precision and reduce the harm an incorrect allegation inflicts on your institution.
In-Depth Insights
A clear, comprehensive view of a document's originality and sources, classifying findings as "Exact matches," "Possible altered text," and "Citation”.
Direct Source Access
View findings for both single-language and translation similarities, linking directly to the relevant page of the source in the original language.
Ring Fence Your Submissions
You decide who can access your students’ submissions. Keep them within your institution or share them with whom you choose.
Speed and Accuracy
Maintain academic integrity with confidence so potential issues can be reviewed and resolved quickly and efficiently.
Safety
Security and Privacy Features
Safety
Data is protected both in transit and when stored, in accordance with common data protection laws.
Transparency
Data privacy is one of our core values, no student submission is stored without consent and data can be deleted any time.
The Inspera Ecosystem
Other Inspera Solutions
Using Inspera Assessment as the core, you can add whichever solutions you need for your institution or organization.
Inspera Assessment
Author, Deliver, Grade and Feedback
- LMS integration
- Scalable
- Network resilience
- Flexible delivery
- Grading workflows
- Rich feedback
+ Inspera Integrity Browser
Integrated plug-in for additional exam integrity
Inspera Proctoring
Record and review AI-assisted proctoring
- AI-enabled
- Webcam monitoring
- Screen monitoring
- Microphone monitoring
- Flexible settings
- Candidate check-in
What our clients say
Inspera in Action
“Using Inspera Assessment hugely simplified our transition to digital assessments. The vast array of features accommodated diverse requirements, and the platform was simple to navigate and implement. Working with Inspera has been a pleasure!”
Dr Dee Scadden, Director of Teaching and Deputy Head of Department, Department of Biochemistry
“The deans have been eager, as they can see the benefits. And once the users have transitioned to digital examination, they would not go back to the old system – there is no question of that. The use of digital examinations has risen steadily.”
University of Oslo
“The University of London has a diverse and globally distributed student population. Our choice of Inspera really reflects our need for an online assessment platform that is fit for the long term and gives us the flexibility to deliver a huge range of assessment types, securely, to any setting anywhere in the world. Our students have really appreciated that it is easy to use and supports the integrity of the award they have worked so hard to achieve.”
Michael Sawyer, Senior Project Manager, University of London
“Some students didn’t want to take the exam online simply because they were nervous. All of the students who did it online reported great satisfaction. All of the students who didn’t do it online, later said they wish they had done it. That is really interesting when you think about it.”
University of Bath
“At the University of Surrey, we want to provide our students with an exceptional student experience. Therefore, our move to Digital Assessment needed a service that provided feature rich software which fulfilled all our functional and non-functional requirements, but also one that would have an intuitive user interface. We also looked for a partner with a track record of working with institutions that have implemented Digital Assessment in the same way as we will. Inspera matched that profile”
Steve Hoole, Education Programme Manager, University of Surrey
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Inspera Originality FAQs
Similarity detection is a technique to ensure academic integrity and maintain the value of education. It identifies and compares similarities between ideas and content compared to those already published.
In the context of universities, where reputation and the value of education are paramount, similarity detection plays a pivotal role in ensuring students cite their sources correctly and can prove they truly understand their topic.
In the context of universities, where reputation and the value of education are paramount, similarity detection plays a pivotal role in ensuring students cite their sources correctly and can prove they truly understand their topic.
AI detection is the process of evaluating a piece of content for the probability of generative AI use. In education, this is valuable to check whether students have improperly used AI for assessments and to check whether their work is their own.
No. Inspera Originality can be used as a similarity checker without the AI detection functionality. This can be useful if, for example, the use of generative AI is part of the assessment.
No. Inspera Originality doesn’t flag plagiarism but rather the potential mis-citation of sources. An allegation of plagiarism is serious and should only be made by an academic. Inspera Originality streamlines the process and saves time, allowing the educator to focus on their expertise.
A false positive occurs when the similarity detection system mistakenly identifies a student's work as similar to a source, even when the student's work is entirely original. This error can arise from factors like using low-quality sources, sharing common ideas, or not fully grasping the conventions of proper citation. It's crucial to tackle false positives in similarity checking to prevent unjust accusations of plagiarism against innocent students.
No, institutions have full control of all data and submissions are not re-used for similarity checking.
Inspera Originality checks a minimum of 1,000 words in 100 seconds with 62.26% more effectiveness in finding plagiarized content compared to competitors.
Educators and students have the same goal. Both need to be confident that work submitted is authored by the student, with appropriate citations and acknowledgements of external sources. Recent developments in generative AI have rocked confidence for both parties when submitting and reviewing student intellectual property.
With Inspera Originality, institutions can detect and differentiate between citations, similarities between existing sources in multiple languages (translation plagiarism) and AI-generated text. Which you choose to detect is your choice - any decision on plagiarism is yours to make.
With Inspera Originality, institutions can detect and differentiate between citations, similarities between existing sources in multiple languages (translation plagiarism) and AI-generated text. Which you choose to detect is your choice - any decision on plagiarism is yours to make.