If you are an administrator or departmental administrator, you can create Deanery, Student or Lecturer type of account. They can be imported using XLS or entered manually. Before importing XLS with user data, the administrator must create organizational units. The names of organizational units must be written in the same language and in the same sequence as they are reflected in the anti-plagiarism system. If there is an error, for example, in the name of an email address or organizational unit, the system will show errors in the file, which will be generated and downloaded immediately after you import the file into the system with user data. Errors and their types will be reflected in the rightmost column of the file.

The Interactive Similarity Report is available to each user in editable and non-editable format depending on the user type. The report is available to the student only in a non-editable format, thus the student cannot change the values of the Similarity Coefficient. The similarity report is available in the list of documents on the user account.

If you have forgot your password, click the “You forgot password” button. Enter the email address you used to log into your Strikeplagiarism.com account and click the "Reset Password" button. The system will automatically generate an email with a link that you should use to receive a new password.

To delete your account registered on the StrikePlagiarism.com website as an individual user, use the "Delete" option available on the user account under the "Edit User Data" tab.
If your account was created by an organization administrator, then only the administrator can delete it. Please contact us if the administrator of the organization does not respond to your requests.

Our system has the option “Search for translation plagiarism”. The system has more than 100 language combinations available.
To use this feature, contact us and we will enable it for you. Please remember that the translated text is not the original text and any similarities found require very careful analysis. 

Yes! Our system recognizes more than 200 languages including German, Portuguese, Italian, French, Norwegian, Chinese, Spanish, Urdu, Swedish, Dutch, Arabic, Hebrew, Greek, Turkish, Vietnamese, Filipino, Indonesian, Bulgarian, Romanian and many other languages. If you have any doubts or questions, please contact us!

Yes, our system is capable of recognizing AI-generated text with an accuracy of more than 94%.
We are supported by several of the world's leading AI content search algorithm providers and therefore our search is highly effective. The system recognizes text written by AI tools not only in English, but also in Spanish, German, Portuguese, French, Dutch, Swedish and other languages.

All types of accounts (administrator, unit administrator, deanery, student) have the ability to upload documents for verification. Documents for verification can be uploaded in various ways:
- On your account, if the administrator has placed a certain number of checks on the user’s balance. The user can upload documents for verification within this quantity,
- Through an Assignment as a “student”, if the student has been invited to an Assignment. A student can upload to an Assignment only once per Assignment. The student can re-upload the work to the Assignment if the expert returned the work for checking,
- Through the Assignment as a “Lecturer” (supervisor) or “Deanery”, importing the documents and filling in the metadata of the authors,
- Via LMS (Moodle, Canvas, Brightspace, OJS, Blackboard, Schoology etc.).

Processing documents and searching for similarities usually takes a few minutes. During a session, this may take a little longer than usual. Thus, we make every effort to ensure that the verification is carried out efficiently and with a search in all available resources.

All documents are checked and stored by our system in strict accordance with the GDPR. That is, they are stored on your account in our system. All documents and personal data are protected and anonymized. Our servers are located in the EU (France, Poland and Germany). All data is stored only for the entire duration of the plagiarism check, and after the completion of the service and the end of the contract with the client, all data is permanently deleted.

In some cases, at the client's request, data is stored on client servers using the ASAP system or the Internal Search Module.

To use the anti-plagiarism system via the API, you need to contact us. We will create a corporate account and provide an API key. If you would like to use our system via Moodle or another LMS, please contact us and we will help you. For Moodle, you need to first download our plugin from moodle.org, then we will create an API key and help you with the setup.

Interactive Similarity Report for texts that were checked using the “translated similarity search” module are also found in the list of documents. Reports generated by the Translation Similarity Search module are marked in the upper right corner of the report, which reflects the language combination that was used during the check. This data is also available in the document details if you click on the document name in the list of documents.

To improve the quality of the work, its originality and reduce the level of similarity, it is not enough to change the word order as our system will detect such a way of paraphrasing.
We recommend that you take paraphrase seriously and describe in your own way and do not forget to credit the author if the fragment of text used is subject to copyright, that is, it belongs to some author. The main purpose of the check is to prevent plagiarism and thereby give credit to the authors whose materials were used.

To check your paper for AI content, you must either check it individually by registering on the StrikePlagiarism.com portal, or through a corporate account by purchasing a subscription. To purchase a subscription in the form of an organization, please send your request using the form available under the link - contact form.

Similarity Report

The Similarity coefficient means the ratio of the text found as similar to the total volume of the text as a percentage. That is, if the similarity coefficient is 16%, this means that 16% of the entire text was found as similar. The Quotation Coefficient refers to the ratio of text enclosed in quotation marks (in the form of quotations) in relation to the total volume of the text. The similarity coefficient does not indicate the presence of plagiarism in the work, but the extent of similarity. That is, if a text found on the Internet (colored green) is a fragment of a law or legal act, then this fragment cannot be plagiarized. If the text, for example, found at the database (highlighted in red) is the author's, but properly credited and the link is legitimate (the correct author), then this fragment cannot be considered plagiarized. And if a fragment of text is found, say, on the Internet or in a database, is copyrighted, but was credited, then this fragment is plagiarized.

The Quotation Coefficient (QC) reflects the text included in quotation marks. QC colors the text purple. It does not indicate the quality of the written work and is for informational purposes only.

SC 1 and 2 differ from each other in that SC1 divides a similar (found in all sources) text into 5 word segments, and KP2 into 25 word segments. SC2 was created in order to show the volume of such text, consisting of large text blocks.

If the teacher notices text fragments that need to be corrected, he can leave a comment in the similarity report by clicking on the Comment button on the right side of the Interactive Similarity Report. All comments left will be available to the student in the list of comments in the similarity report. If students do not have access to the system, the Similarity Report with comments can be forwarded to them using the report forwarding option available in the Interactive Similarity Report on the right side. If students have access to the system, that is, they have accounts, then it is enough to invite them to the Assignment so that they can upload the necessary document to the Assignment. Thus, after the teacher has returned the work for correction by clicking on the Save|Submit button in the upper right corner of the report, the system will send the report to the student’s email address and to his account in our system.

To view more detailed information related to the presence of AI-generated text in the analyzed work, you must open the Interactive Similarity Report, the “Search for AI-generated content” tab and click on Details.

At the end of the work, you must write down the phrase “Bibliography” in any language, and numerate the list.

Our anti-plagiarism system has an Originality Coefficient, which can be added upon request.

Yes, there is such a possibility.

The “Accepted Fragment List” in the Similarity Report reflects the list of fragments that were accepted by the supervisor and excluded from the Similarity Score for various reasons. 

To begin with, it is best to use the Interactive Similarity Report, as an HTML or PDF similarity report will not help you find plagiarism. To find plagiarism, you need to pay attention to whether the text fragment is the author’s or not (legal act, folklore, well-known concepts and definitions, etc.). Next, you need to pay attention to whether the author’s fragment was properly credited, and whether it is formatted correctly (in accordance with accepted citation rules). It is also necessary to check whether the author's name is correct, since your author (student) may have mistakenly given a footnote to the wrong author. Thus, if 1. The author is not indicated, but the text fragment certainly belongs to some author, then this fragment is plagiarized. 2. If the author's name is incorrect, this fragment is also considered plagiarized. 3. If one text fragment was credited correctly, and another fragment of the same author has no footnote, or the wrong author was indicated, then that fragment is also considered as plagiarized, even despite the fact that part of the source has the author indicated, or specified correctly. As you can see, the percentage of similarity does not play a role in this analysis.

AI Probability Coefficient (AIPC) means the probability of whether the text was written by a machine, expressed as a percentage. That is, if the AIPC is 34%, this means that the probability that the text was written by AI is 34%. The probability score is generated based on AI content search algorithms, which very effectively determine whether the text was written by a person or a machine. Since the text can be mixed or translated, the AI content search algorithm divides the entire text into small fragments and reflects the probability for each fragment. This makes it easier for the expert and teacher to find a fragment with a high likelihood that it was written by an AI tool.

The similarity report reflects sources from various databases, combining them into groups:
1. sources from the RefBooks Scientific Database, 2. Sources from the University Database, the so-called home database, 3. Sources from databases of other partners and 4. Sources from open Internet sources.

The anti-plagiarism system reflects exceeding the threshold values that were set by the System Administrator in the Settings section. You can record one value for SC 1 and 2, as well as different values for different types of documents in another section - Document Types.

The similarity report can be downloaded as a HTML and a PDF file in full and short form. The downloaded similarity report will not be interactive, thus it will not be possible to change the SC values by excluding and accepting fragments.

The interactive Similarity Report can be shared, this function is available in the report itself on the right side. The similarity report can be submitted to reviewer. However, if the document was uploaded to the Assignment it can be shared only in a view only mode, otherwise it can be shared both in editable and a view only mode.

The colors in the similarity report do not indicate the presence or absence of plagiarism. Red text indicates that a fragment similar to it was found in partner databases, orange indicates that the fragment was found in the RefBooks database, green indicates that it was found among open Internet sources. If the text is blue, it means you selected all fragments from the same source. Purple text means text was quoted. If fragments of text have different shades of the same color, this means that they are in different places and do not follow each other in the source.

To exclude fragments from the SC, just open the Interactive Similarity Report (not a report in PDF or HTML format) and click on any fragment, after which a dialog box will appear that will prompt you to exclude only a small fragment of your choice or all fragments from this source.

The student can see the comments left by the teacher in the lower left side of the similarity report (Interactive, PDF and HTML).

The system is able to recognize more than 100 different text manipulations. There are so many types of manipulations that we decided to reflect in the Similarity Report only the most frequently occurring ones, including the use of letters from another alphabet, micro-spaces, white characters and spreads. Our system is very successful in resisting text manipulation and is the best in the world in this regard.

The Save|Submit button in the upper right corner of the Interactive Similarity Report has several functions:
1. Allows you to reflect the decision made on the document, for example, if an expert or supervisor decided to accept the work, disqualify it or return it for correction.
2. Once a decision is made, the report status changes to reflect the decision made. Thus, the student or author can see in his list of documents what decision was made regarding the work. This functionality helps when checking a large number of works by one lecturer. Moreover, the system sends a similarity report and information about the decision to the author who uploaded the document by email.

Text colored yellow in the source itself (after you have opened the source in the similarity report) indicates that a similar fragment was found in the work being analyzed. We've simplified the analysis process by loading all sources into the report and displaying them on the left side. That is, by clicking on the source, the system will open the entire source on the left and color all similar fragments yellow. If the source is an Internet page, click on the yellow fragment and the system will reflect it in the analyzed work. Thus, an expert or scientific supervisor needs significantly less time to analyze sources and compare sources with the document being analyzed, as well as analyze to what extent the author legitimately cited the source.

The expert or supervisor can add comments to the similarity report. To add a comment, you must enter the Interactive Similarity Report and select Commenting on the right side of the report.

The system searches among a huge number of sources (more than 2 billion websites, 200 million documents), which at some point in time may be available, but after some time may not be available to the system for objective reasons. Reasons may include: unavailability of the website or database, deletion of data from the website, database, etc.

Cross-checking is a comparative analysis of the papers uploaded into the Assignment. That is, the system shows which fragments of work coincide with each other, despite the fact that the work has not been added to the database.

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