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Inspera Originality

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Putting Academic Integrity Into The Hands Of Educators

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About Inspera

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Inspera develops digital assessment solutions that empower educational institutions, professional organizations, and awarding bodies across the world. Our cutting-edge ecosystem ensures that assessments are efficient, effective, and accessible.

Inspera has grown over 25 years into a global digital assessment leader. We now work with nearly 150 institutions globally.

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Empowering Educators With Innovative Originality Checking 

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With similarity and AI-generated prediction 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.
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How Inspera Originality Works

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Enable Originality Checking

Include Inspera Originality as part of the assessment.

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Read the Originality Report

Review the originality report and understand where originality issues were found.

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Evaluate

Understand the level of originality based on the report.

Your Data, Your Rules

​​At Inspera, we understand the critical need for robust, customizable data management. Our data access and management ethos sets a new industry standard, offering unprecedented control and flexibility over your institution's data. 
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Data You Control

You decide at institution level what data is stored and who gets to access the data generated by all users. This includes access to your research database for other (none, selected or all) Originality customers to use in similarity checking or collaboration.

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Safety and Data Protection

Data is protected both in transit and when stored, in accordance with common data protection laws. So you can be assured that when you choose not to share, that’s exactly what will happen.

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Transparency

Data privacy is one of our core values, no student submission is stored without consent and data can be deleted at any time with a simple request. You can choose who has control of deleting a submission post originality checks; the institution or student.

Unmatched Similarity Insights

Inspera Originality classifies findings based on the levels of similarity as either exact match, possibly altered text, or in-text citations.
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Exact Match

Sentence similarity classification that indicates a sentence similarity score of 80%-100%.

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Possibly Altered Text

Sentence similarity classification that Indicates a sentence similarity score between 60%-80%.

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Citations

Sentence similarity classification that indicates the text was found similar and proper citation was identified.

 

 

Translation Similarity Detection  

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Inspera Originality empowers educators with advanced translation similarity detection in over 100 language pairs as it identifies content that has been translated from one language to another, often disguised as original work.

Inspera Originality effectively detects both manual translations, done by fluent speakers, and software translations from platforms like Google Translate, ensuring comprehensive originality checks.

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Easy Integration

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Inspera Originality within Inspera Assessment

Already a user of Inspera Assessment? Simply include originality checking with a click.

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LTI integration

Inspera Originality LTI Integration

Inspera Originality is LTI compliant and can be easily included in your workflow.

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Inspera Originality LMS Integration

Easily integrate the originality solution within your already existing workflow

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Trusted by World-Class Education Institutions

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Book a demo today and get a personalized consultation for your institution’s needs 

Inspera Originality FAQs

What is similarity detection?
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.
What is AI prediction?
AI prediction 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.
What is a false positive?
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.
How long does it take to see the results of a submission?
Inspera Originality checks a minimum of 1,000 words in 100 seconds with 62.26% more effectiveness in finding plagiarized content compared to competitors.
Is a flagged sentence proof of plagiarism?
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.
Why do I need similarity and AI-Generated text prediction?
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.
Do I have to use AI prediction with Inspera Originality?
No. Inspera Originality can be used as a similarity checker without the AI prediction functionality. This can be useful if, for example, the use of generative AI is part of the assessment.
Do submitted assessments become part of the database for search?
No, institutions have full control of all data and submissions are not re-used for similarity checking.

Trusted The World Over

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Eventually, digital exams will become the norm. I think it will happen, the only question is when.
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— Dr Donald Lancaster
Director of Studies for the Executive MBA, University of Bath School of Management.
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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!
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— Dr. Dee Scadden,
Director of Teaching and Deputy Head of Department, Department of Biochemistry
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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.
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— Anne-Lise Lande
Section Manager, University of Oslo, Norway