Professional Plagiarism
Checker Service
for Academic Work
Submitting work with undetected similarity issues can cost you grades, academic standing, or even your degree. Our plagiarism detection and originality review service provides the same depth of checking your institution uses — with expert guidance on what the similarity report actually means for your specific document and how to address any flagged passages before submission.
What a Plagiarism Checker Does — and What Students Actually Need to Know
Plagiarism detection is not a single action — it is a process. At its core, a plagiarism checker compares submitted text against databases of existing content: web pages, academic journal articles, conference papers, books, and previously submitted student work held in institutional repositories. The checker identifies text that matches existing sources, calculates a similarity percentage, and generates a report showing which passages were flagged and where the matches originate. What the checker does not do is determine whether matched text is properly cited, whether it constitutes academic misconduct, or whether the similarity score is acceptable for a given institution and document type. Those determinations require human judgement — and that is exactly where expert review adds value.
The distinction matters enormously in practice. A dissertation chapter with a similarity score of 18% might be entirely acceptable if most of the matched text comprises properly formatted quotations, standard methodological phrases, or widely used disciplinary terminology. The same score might represent a serious integrity issue if the flagged passages are paraphrased arguments from a single source that appears in the reference list but without corresponding in-text citations. The number alone tells you very little without knowing what is driving it. Understanding what the number actually reflects — and which parts of a document require revision — is the core skill that makes plagiarism review genuinely useful rather than merely anxiety-inducing.
Academic integrity policies vary significantly between institutions, and they have tightened considerably over the past decade. Research by iThenticate, whose technology underpins many university plagiarism detection systems, documents increasing sensitivity to unintentional plagiarism — the kind that occurs not from deliberate copying but from inadequate paraphrasing, imprecise citation practice, or unfamiliarity with what constitutes acceptable source use in academic contexts. First-generation university students, students writing in a second language, and students transitioning from school-level to degree-level writing conventions are disproportionately represented among those who encounter plagiarism-related difficulties — not because they are less honest, but because the conventions themselves are rarely taught explicitly enough for the rules to be unambiguous.
Our plagiarism checker service addresses this gap by combining enterprise-level detection with expert human review. We do not simply run your document through a checker and send you a score. We analyse the report, distinguish between matches that represent citation practice issues and matches that represent genuine content concerns, and provide clear written guidance on which passages require revision and exactly how to address them. For students using our broader writing support services — from essay writing through to dissertation support — originality checking is available as part of every service or as a standalone check for work written independently.
The Difference Between Similarity and Plagiarism
One of the most important conceptual clarifications any student can receive about plagiarism detection is this: similarity is not the same as plagiarism. Similarity is a technical measurement — the proportion of text in your document that matches text found in the checker’s database. Plagiarism is an academic integrity judgment — the determination that you have presented another person’s ideas, data, or expressions as your own without appropriate attribution. The two overlap substantially but are not identical.
A document can have high similarity and no plagiarism — for example, a dissertation that quotes extensively from primary sources with proper attribution in a discipline where substantial direct quotation is conventional. A document can have low similarity and still contain plagiarism — for example, a paper where a central argument is taken wholesale from a single source that is not in the detection database, or one that contains fabricated citations for ideas that were never independently sourced. Plagiarism detection tools are powerful but not infallible, and understanding their limitations is as important as understanding their outputs.
Who uses plagiarism checking: Undergraduate students submitting coursework, postgraduate students ahead of dissertation submission, doctoral researchers preparing journal submissions, academic staff checking student-submitted work, and professionals in research-intensive fields who need to verify the originality of documents before publication or submission.
Plagiarism Checker — Service Overview
At a glance
Thresholds vary by institution, document type, and discipline. Always verify your institution’s specific policy.
The Seven Forms of Academic Plagiarism — and Why Intention Is Not the Only Factor
Most students who encounter plagiarism-related penalties did not intend to deceive anyone. Understanding the full spectrum of what constitutes academic dishonesty — from direct copying through to self-plagiarism and inadequate paraphrasing — is the first step to avoiding it.
Direct Copying
Reproducing text verbatim from a source without quotation marks or attribution. The most easily detected form of plagiarism — and the form that carries the most severe academic penalties. Direct copying ranges from lifting a single sentence to reproducing whole paragraphs or sections from a single source. Detection tools identify it immediately, and no amount of citation-correction can retroactively address it if the copied text appears unattributed.
- Verbatim reproduction without quote marks
- Copied text with in-text citation but no quote marks — still plagiarism
- Blocks of text from multiple sources assembled without attribution
- Screen captures or reformatted text from online sources
Inadequate Paraphrasing
Rewriting a source’s text with minor word substitutions — replacing a few words with synonyms while retaining the sentence structure, argument sequence, and specific phrasing — does not constitute original paraphrasing. It constitutes inadequate paraphrasing, which most academic integrity policies treat as equivalent to plagiarism regardless of whether the source is cited. This is the most common form of unintentional plagiarism among students who believe they are summarising sources adequately when they are, in practice, producing cosmetically altered versions of the original text.
Genuine paraphrasing requires understanding the source’s argument well enough to restate it entirely in your own words and sentence structures — ideally after putting the source away and reconstructing the idea from memory. The test is not whether the words are different; it is whether the sentence architecture and conceptual framing are your own. Advanced plagiarism detection algorithms are specifically calibrated to identify near-paraphrase, using semantic similarity analysis that goes beyond simple string matching.
Self-Plagiarism
Submitting the same work, or substantial portions of it, for more than one assessment without explicit permission from both instructors is self-plagiarism. It applies to coursework submitted in different modules, chapters reused between undergraduate and postgraduate dissertations, and previously published work submitted for academic credit.
- Submitting the same essay to two modules
- Reusing dissertation chapters in journal submissions
- Building on prior coursework without declaration
- Recycling research methods sections verbatim
Mosaic Plagiarism
Assembling a passage by weaving together phrases, clauses, and sentences from multiple sources, connected by original transitional text — without attributing the individual borrowed elements. The resulting text appears original because no single source is reproduced at length, but the intellectual substance and specific expression belongs to others.
- Phrases from different sources stitched together
- Sentences restructured from multiple articles
- Combined paraphrasing without attribution
AI-Assisted Plagiarism
Submitting AI-generated text as original human writing — or using AI to paraphrase source material without attribution — is categorised differently by different institutions but is treated as an academic integrity violation by most. Turnitin, iThenticate, and Copyleaks now include dedicated AI detection features.
- AI-generated essays submitted as student work
- AI-paraphrased source material without citation
- Undisclosed AI assistance in data analysis sections
Idea Plagiarism and Ghost-Writing
Academic integrity extends beyond textual reproduction. Using another person’s ideas, arguments, data, or frameworks without attribution — even when restated entirely in your own words — constitutes plagiarism of intellectual contribution. Similarly, submitting work written entirely by another person (a tutor, a writing service that provides work to be submitted as your own, or a peer) is contract cheating — the most serious category of academic misconduct in most institutional policies, carrying consequences that often include expulsion and degree revocation.
The distinction between legitimate academic writing support — tutoring, feedback, editing, and guidance on how to develop and express your own arguments — and contract cheating is a line that institutions take very seriously and that students should understand clearly before engaging any external service. Our services are explicitly designed on the tutoring and guidance model, not the submission-ready ghost-writing model. Every piece of work we produce is for learning support, reference, and educational guidance.
Source Fabrication
Citing sources that do not exist, misattributing quotations, or altering what a cited source actually says — a form of academic dishonesty that plagiarism detection tools cannot directly identify but that expert reviewers and journal editors increasingly catch.
- Invented journal articles in reference lists
- Misquoted or altered source content
- AI-hallucinated citations submitted in good faith
- DOIs that resolve to unrelated articles
How Our Plagiarism Checker Service Works — Five Steps to a Clean Submission
Upload Your Document
Submit your essay, dissertation, thesis, or research paper through our secure portal. Supported formats: DOCX, PDF, TXT. Documents are handled under NDA — never shared, never stored in public repositories.
Select Check Type
Choose standard essay check, dissertation check, or research paper check based on your document type and the database coverage you need. Rush turnaround available for time-sensitive submissions.
Detection Runs
Your document is checked against web content, academic journals, Crossref-indexed publications, books, and student paper repositories. Every matched passage is identified with its source URL or database reference.
Expert Review
A subject-area expert reviews the similarity report, distinguishing between acceptable matches and genuine concerns. You receive a written analysis explaining each flagged section and what action — if any — is required.
Receive Full Report
Receive your similarity report, expert written review, and — if needed — specific revision guidance for flagged passages. Free re-check included after you make revisions.
What Similarity Scores Mean — and How Institutions Actually Use Them
The single most misunderstood aspect of plagiarism detection is the overall similarity percentage. Students frequently treat this number as a binary pass/fail indicator — either relief if it is below 10%, or panic if it is above 20%. Neither reaction is calibrated to how institutional academic integrity panels actually review similarity reports, and both can lead to poor decisions about when to revise and when to submit with confidence.
University academic integrity panels reviewing Turnitin or iThenticate reports do not look only at the overall percentage. They examine the composition of the matches: are they spread across many short phrases from many different sources (a pattern typical of legitimate academic writing that uses standard disciplinary terminology) or concentrated in extended passages from one or two sources (a pattern that raises questions about inadequate attribution)? Are the matched passages text that is referenced and cited in the bibliography? Does the matched text appear inside quotation marks in the student document?
According to guidance published by the Joint Information Systems Committee (Jisc), the UK body that advises universities on academic integrity technology, similarity scores should always be read in context by a trained reviewer rather than applied as automatic thresholds. Many universities explicitly state in their academic integrity policies that a score above a given threshold triggers investigation, not automatic penalty — recognising that the score is a starting point for review, not a finding in itself.
This is why we include expert review in every plagiarism check we provide. The report without the interpretation is of limited value. What students need — and what we provide — is a clear explanation of what each flagged match represents, what it means for the likelihood of an academic integrity concern being raised, and what specific revisions will address genuine issues without over-correcting work that does not require it.
Note on self-exclusions: Turnitin and iThenticate allow certain text to be excluded from the similarity calculation — bibliographies and reference lists, quoted text, and small matches below a word threshold. Understanding which exclusions are applied in your institutional Turnitin settings is important for interpreting your report correctly. Our expert review clarifies this as part of the standard service.
What Detection Engines Actually Compare — and Their Limits
Plagiarism detection software does not “read” text the way a human does — it processes it computationally, breaking documents into fragments (typically strings of consecutive words called n-grams) and comparing them against indexed content in its database. The sophistication of modern detection tools has increased substantially over the past decade, with systems like Turnitin now using fingerprinting technology that identifies near-paraphrase through semantic similarity analysis rather than just string matching.
The databases these tools check against determine what they can and cannot detect. Turnitin’s database includes billions of web pages, student papers from thousands of institutional partners, published journal articles from major academic publishers, and books. This makes it highly effective at detecting copying from commonly used internet sources, published academic literature, and previously submitted student work that passed through an institution using Turnitin. It cannot detect: copying from sources not in its database (many older books, grey literature, private websites, and sources in non-English languages are partially or fully outside its reach); paraphrasing that is sufficiently distant from the original text to fall below the semantic similarity threshold; and purchasing papers from contract cheating services that use new writing with no prior digital footprint.
Understanding these limitations is important for both students and academic integrity administrators. A clean Turnitin report is evidence of similarity below detection threshold — it is not a guarantee of originality. This is why detection tools are best understood as part of an integrity framework that also includes assignment design, oral assessment, and expert review — not as a complete solution on their own. For students, the practical implication is that checking your own work before submission is valuable not because passing the checker is the goal but because the checker identifies passages that a reviewer might question, giving you the opportunity to address any concerns before they become a formal integrity matter.
What Our Plagiarism Check Covers — Every Database, Every Document Type
A plagiarism check is only as good as the databases it searches. Our service runs checks across the full range of sources your institution’s own tools use — and our expert reviewers understand how to read the output across each source type.
Open Web Content
Full-index web search covering publicly accessible pages — including Wikipedia, news sites, government publications, blog posts, online forums, and static web documents. Matches updated with each check run against a live index.
Academic Journal Database
Published articles from major academic publishers including Elsevier, Wiley, Springer, Taylor & Francis, Sage, and open-access repositories. DOI-indexed content with coverage extending to conference proceedings and preprints.
Student Paper Repository
Previously submitted student work from institutions using Turnitin-compatible systems. Enables detection of inter-student similarity, recycled coursework, and commercially available essay mill content that has already been submitted.
AI Content Detection
Statistical analysis of text patterns associated with large language model outputs. Reports a probability score with highlighted passages most likely to be AI-generated. Available as an add-on for any document type.
Grey Literature & Reports
Policy documents, government reports, NGO publications, working papers, and institutional repositories. Particularly relevant for dissertation students in social policy, public health, economics, and education research.
Self-Plagiarism Detection
Comparison against your own previous submissions (where provided). Identifies reuse of prior coursework, dissertation chapters, or prior academic publications without declaration — the most frequently undetected form of academic dishonesty.
What we cannot detect: Work copied from sources entirely absent from all indexed databases (some rare books, private documents, non-digitised archives). Plagiarism of ideas rather than text, when restated in original wording with no database match. Contract cheating from a service producing genuinely original new writing with no prior digital record. These limitations apply to all detection tools, including Turnitin — which is why institutional integrity frameworks combine detection with other assessment practices.
Academic Integrity Policies — What Universities Actually Enforce
Academic integrity policies have evolved significantly since plagiarism detection software became widely adopted in the early 2000s. The initial wave of institutional policy-making focused primarily on detection — deploying Turnitin across all submission workflows and establishing similarity thresholds as triggers for investigation. The second wave, which has accelerated since 2015, has been more nuanced: recognising that similarity thresholds are not reliable standalone indicators of misconduct, distinguishing more carefully between unintentional and intentional integrity violations, and addressing contract cheating — the commissioning of work from third parties — as a distinct and more serious category than conventional plagiarism.
The UK’s Quality Assurance Agency for Higher Education (QAA) framework on academic integrity, which informs policy at most UK universities, distinguishes between academic misconduct (deliberate cheating), poor academic practice (unintentional inadequate citation or paraphrasing), and contract cheating (third-party completion of assessed work). Each category attracts different responses — poor academic practice typically results in advice and required revision at first instance, while contract cheating carries the most severe penalties. Most institutions provide explicit training resources on citation, paraphrasing, and source use precisely because they recognise that poor academic practice is largely preventable with adequate instruction.
For students, the practical upshot of this policy landscape is that the risk of a formal academic integrity investigation is real but substantially lower than many students believe — and the most effective risk mitigation is not gaming the similarity checker but developing genuine competence in citation practice, paraphrasing, and source integration. Our plagiarism checker service supports this by providing not just detection but education: when our expert review identifies a problematic passage, we explain why it is problematic and how to address it in a way that builds the skill, not just fixes the document.
- We provide originality checking and expert review — not writing services for submission
- Our editing and proofreading service improves your own writing — not replaces it
- All support is explicitly for learning, reference, and educational guidance purposes
- NDA protection ensures your work and identity are protected in every engagement
- Our academic integrity policy is published and transparent
Six Citation and Paraphrasing Mistakes That Drive Up Similarity Scores
Most elevated similarity scores in student work have the same root causes. Recognising them in your own writing is the most effective way to keep your similarity score within acceptable thresholds — and, more importantly, to develop the citation and source integration skills that distinguish competent academic writers.
Synonym-Swapping as Paraphrasing
Replacing individual words in a source sentence with synonyms while retaining the sentence structure, argument sequence, and specific ideas is not paraphrasing — it is mosaic plagiarism. Advanced detection algorithms identify this pattern reliably. Students often believe they have “put it in their own words” when they have only substituted vocabulary while leaving the cognitive work to the source author.
Over-Reliance on Direct Quotation
Undergraduate essays and coursework assessments are designed to test your ability to synthesise, analyse, and evaluate sources — not to reproduce them. A paper composed primarily of long block quotations stitched together with minimal original analysis will have a high similarity score and will also receive low marks for engagement and critical analysis, independent of any plagiarism concern. Most academic disciplines expect direct quotation to be used sparingly and purposefully — for precise definitions, for specific empirical data, or when an author’s exact phrasing is itself the subject of analysis.
In-Text Citation Missing While Source Is in Bibliography
A source appearing in your reference list but with no corresponding in-text citation is one of the most common patterns flagged by academic integrity reviewers. It suggests that the student used material from the source — paraphrasing or taking ideas — without indicating at the specific point in the text where the source was drawn upon. The presence of the source in the bibliography does not retroactively attribute the ideas taken from it.
Undeclared Reuse of Prior Coursework
Reusing sections of a previous assignment — even your own work — without declaring it constitutes self-plagiarism under most institutional policies. This catches many students by surprise, particularly those who have written a related essay in a previous module or who are building on prior work in a dissertation. The key issue is that academic assessment is designed to evaluate work produced specifically for that assessment — reusing prior work undermines this, regardless of the quality of the original work.
Missing Quotation Marks on Verbatim Text
Reproducing text word-for-word from a source with an in-text citation but without quotation marks is still plagiarism. The citation acknowledges the source but does not signal that the wording itself is taken directly from the original. Academic convention requires quotation marks around any text reproduced verbatim, precisely to distinguish between paraphrase (your words, attributed to the source) and direct quotation (their words, reproduced exactly).
Copy-Paste Research Note-Taking
Many elevated similarity scores originate not from deliberate copying during writing but from note-taking practices during research. Students copy text directly into their notes for convenience, then — when writing the paper — inadvertently reproduce the copied text without realising it was a verbatim extract rather than their own synthesis. This is one of the most common causes of unintentional plagiarism in student writing.
- Chapter-by-chapter similarity breakdown — identify which sections carry the highest risk, not just the overall score
- Literature review deep check — the highest-risk chapter for inadequate paraphrasing and over-quotation
- Methodology section boilerplate check — distinguishes standard disciplinary language from problematic matches
- Self-plagiarism screening — checks against prior pilot studies, research proposals, or coursework (if provided)
- Reference list verification — flags common errors including DOI mismatches and citation-text inconsistencies
- Expert written review — discipline-aware interpretation of all flagged passages
- Specific revision guidance — written guidance on which passages to rephrase, how to do so, and how to bring the score within threshold
- Free re-check after revisions — verify your revised score before final submission
- AI content screening add-on available — statistical analysis of AI-generated content probability
Plagiarism Checking for Dissertations — Why It Is Different from Essay Checking
A dissertation is not a long essay — it is a different genre of academic writing with different conventions, different structural requirements, and different norms around source use. These differences make dissertation plagiarism checking qualitatively more complex than checking an essay, and they are exactly why dissertation-level work requires expert review rather than a simple similarity percentage.
The literature review chapter of a dissertation is the section most likely to produce elevated similarity scores — and is also the chapter where most institutions expect the most engagement with existing scholarship. A literature review that synthesises 60 or 80 sources, draws on key definitions and frameworks from foundational texts, and quotes selectively from empirical studies will naturally produce more similarity matches than a standard essay. What matters is whether those matches are properly attributed and whether the synthesis and analysis are genuinely your own — questions that require discipline-aware expert review to answer.
The methodology chapter presents the opposite problem. Standard methodological terminology — phrases like “semi-structured interviews were conducted,” “thematic analysis was employed using Braun and Clarke’s (2006) six-phase framework,” or “a stratified random sample was drawn from the target population” — will often match phrases in published methodology textbooks and other dissertations. These matches are typically acceptable precisely because methodological descriptions are necessarily standardised. An expert reviewer can distinguish between this boilerplate matching and genuinely problematic reuse of a specific author’s methodological rationale.
For dissertation students at the pre-submission stage, our recommendation is to run a comprehensive check at least four weeks before your submission deadline. This allows time for our expert review, for you to make any required revisions, and for a free re-check to verify the revised document — all without the pressure of an imminent deadline. For students also using our dissertation writing support or statistics and data analysis service, plagiarism checking is available as a bundled service at a reduced rate.
For doctoral researchers: Journal submissions are also checked by publishers using iThenticate — the professional-grade version of the same technology. Ensuring your dissertation chapters that you plan to submit for publication have been thoroughly checked for similarity (including self-plagiarism from your own prior conference papers or working papers) before submission to journals can significantly reduce the risk of rejection on integrity grounds.
Every Document Type We Check — and What to Expect from Each
Essays & Coursework
Standard essay check covering full web index and academic journal database. Typical turnaround 3–6 hours. Expert review distinguishing cited quotations from unattributed matches. Most suitable for documents up to 5,000 words.
Dissertations & Theses
Chapter-by-chapter analysis with full database coverage and expert review tailored to the conventions of long-form academic writing. Self-plagiarism screening against prior submissions available. Turnaround 12–24 hours.
Research Papers
Optimised for pre-publication journal submission checking — comprehensive academic database coverage including Crossref-indexed journals. iThenticate-level detection for researchers preparing work for peer review.
Reports & Assignments
Business reports, case studies, reflective journals, lab reports, and professional portfolio submissions. Checks calibrated to the specific conventions of each document type — including standard structural language exclusions.
Plagiarism Checker Pricing — What Is Included
Every check includes expert review — not just a similarity percentage. No hidden fees, no upsell at checkout. First-time clients receive 15% off, applied automatically at order.
Standard Check
- Full similarity report with source IDs
- Web + academic database coverage
- Expert written review
- Distinction between cited and uncited matches
- Revision guidance for flagged passages
- Free re-check after revisions
- 3–6 hour turnaround
Dissertation Check
- Chapter-by-chapter breakdown
- Full database + student repo coverage
- Self-plagiarism screening (if provided)
- Discipline-aware expert review
- Detailed revision guidance
- Reference list consistency check
- Free re-check after revisions
- 12–24 hour turnaround
Publication Check
- iThenticate-grade detection depth
- Crossref + full academic database
- Pre-publication expert review
- Prior conference paper self-check
- AI content probability screen available
- Free re-check after revisions
- 6–12 hour turnaround
View full pricing at our pricing page. Money-back guarantee if similarity report is not delivered within agreed turnaround. NDA on every submission.
Turnitin vs iThenticate vs Free Checkers — What the Differences Mean for You
Students frequently ask whether they can use a free plagiarism checker to preview their similarity score before submitting to Turnitin through their institution. The short answer is: free checkers are useful for catching obvious verbatim copying but do not provide the depth of detection or the database coverage that institutional tools use. Running your document through a free checker and getting a low score does not reliably predict what Turnitin will return — particularly for academic content, where the key database is published journal articles rather than freely indexed web pages.
The differences between available tools matter practically. Turnitin, which most UK, Australian, and many US universities use for student submissions, has a student paper repository that cannot be replicated by any public tool. Once a paper has been submitted through Turnitin by any student at any participating institution globally, it is in the database. A student who purchased an essay from a commercially available source that has already been submitted anywhere in the Turnitin network will see that match reflected — even if a free checker shows no similarity at all.
iThenticate, used by professional researchers and journal publishers, checks against a broader academic literature database including content behind journal paywalls — making it more sensitive to matches with recently published articles that may not be fully indexed in Turnitin’s academic database. For doctoral students preparing journal submissions, iThenticate-grade checking is the standard that matters.
Our service uses detection technology comparable in database coverage and algorithmic sensitivity to both Turnitin and iThenticate — without the institutional submission workflow that indexes your document. Your document is checked but not stored in any student paper repository. This is an important distinction for students who want to check their work before institutional submission without having it appear in Turnitin’s database.
What Students Say About Our Plagiarism Check Service
“My dissertation similarity score came back at 24% from my institution and my supervisor flagged it as needing attention before final submission. The expert review here explained exactly which three sections were driving the score — two passages in my literature review where I had closely followed the structure of a key paper without adequately paraphrasing, and one methodology section that matched a widely used research methods textbook. The revision guidance was specific and usable. After applying the suggested changes, my re-check showed 9%. Submitted with complete confidence.”
“I had been using a free checker and getting 4% similarity, then my coursework came back flagged by Turnitin at 19%. The expert review here helped me understand exactly why — the free checker doesn’t have access to the journal article database. Three passages in my introduction matched published papers exactly. Now I only use this service before submitting anything important.”
“Preparing a journal article from my PhD dissertation and needed to check for self-plagiarism against my prior conference paper and two dissertation chapters. The publication check service ran exactly this comparison and identified the overlapping sections I needed to revise before submission. Turnaround was faster than I expected and the written review was thorough.”
More Academic Support from Smart Academic Writing
Editing & Proofreading
Academic English editing of your draft — structure, argument clarity, grammar, and referencing. Editing service.
Dissertation Writing Support
Full dissertation and thesis support from research design through to final chapter and viva preparation. Dissertation service.
Essay Writing Services
Reference essays and model answers for every academic level and discipline. Essay writing service.
Data Analysis Help
Full quantitative and qualitative analysis support using SPSS, R, Stata, and NVivo. Data analysis service.
Literature Review Writing
Systematic and narrative reviews covering your topic’s empirical and theoretical foundations. Literature review service.
Statistics Tutoring
One-on-one tutoring for every statistical concept, test, and software platform — SPSS, R, Stata. Statistics tutoring.
Frequently Asked Questions About Plagiarism Checking
What percentage of similarity is acceptable in academic work? +
Most universities treat similarity scores below 10–15% as generally unproblematic, though policies vary by institution, discipline, and document type. A dissertation may tolerate somewhat higher scores because of necessary quotations and standard methodological phrasing, while a short coursework essay is typically expected to fall well below 10%. The composition of the similarity score matters as much as the number — matched text from properly cited quotations is treated very differently from unattributed paraphrasing concentrated in the argument sections of your paper. Always check your institution’s specific policy document, as threshold triggers for investigation vary considerably.
Is paraphrasing considered plagiarism? +
Paraphrasing without attribution is plagiarism. Restating another author’s ideas or argument in your own words without citing the source presents their intellectual contribution as your own — which meets the standard academic definition of plagiarism regardless of whether the wording matches. Proper paraphrasing requires both a genuine restatement in your own sentence structures (not synonym substitution) and a clear in-text citation to the original source. Modern plagiarism detection systems include semantic similarity algorithms specifically designed to identify near-paraphrase even when the wording differs substantially from the source.
Can plagiarism checkers detect AI-generated content? +
Standard plagiarism detection tools detect textual similarity to existing sources in their database — they do not inherently detect AI-generated text, which typically has no prior database match. However, Turnitin and iThenticate now include dedicated AI writing detection features that analyse statistical patterns in text to estimate the probability of AI generation. These features report a probability score, not a definitive determination, and their accuracy varies by document type, writing style, and the specific language model used. Our service offers AI content screening as an add-on to any plagiarism check, using detection technology calibrated to current large language model outputs.
What is the difference between Turnitin and iThenticate? +
Turnitin is designed for student submission workflows and integrates with university learning management systems (Canvas, Blackboard, Moodle). It indexes submitted student papers into a repository that enables inter-student similarity detection — meaning work submitted by one student can be detected as similar to work submitted by another student globally. iThenticate is designed for professional researchers, journal publishers, and graduate-level work; it checks against a broader database of published academic literature and is the standard tool for doctoral dissertations and journal submissions. Both are produced by the same company. Our service uses detection technology with database coverage comparable to both platforms, without indexing your document into any student repository.
How long does a plagiarism check take? +
Standard plagiarism checks for essays and coursework (up to 5,000 words) are returned within 3–6 hours including the expert review. Dissertation and thesis checks (up to 20,000 words) are returned within 12–24 hours. Research paper publication checks are returned within 6–12 hours. Rush turnaround within 1–2 hours is available for standard essays at a surcharge. All turnaround times include the full similarity report with source identification and the expert written review — not just the raw percentage score.
Does your plagiarism checker check against published journal articles? +
Yes. Our detection system checks against databases that include published academic journal articles and conference papers indexed by Crossref and major academic publishers, in addition to web content and student paper repositories. For dissertation and research paper checks, the academic database coverage is particularly important because the journal literature is the primary source that free plagiarism checkers typically cannot access — which is why free checker results frequently underestimate the similarity score that Turnitin or iThenticate will return.
Will my document be stored or indexed after checking? +
No. Documents submitted to our service are used solely for the purpose of running the plagiarism check and are not stored in any student paper repository, indexed in any detection database, or shared with any third party. Every submission is protected by a non-disclosure agreement. This is an important operational difference from institutional Turnitin submission, which indexes submitted papers into the student paper repository. Checking your work with us before institutional submission does not affect your Turnitin score upon institutional submission.
Know Your Score Before
Your Institution Does
Submit your essay, dissertation, research paper, or thesis for expert plagiarism detection and originality review. Get a full similarity report, expert written analysis, and specific revision guidance — all before your deadline.
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