Plagiarism Checker

A plagiarism checker for students, educators, and researchers to assess text originality and identify potential source matches quickly.

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About This Tool

The Plagiarism Checker analyzes user-provided text to measure originality against a broad reference corpus and common web sources. It supports pasted text or document uploads, enabling rapid initial screening prior to submission or publishing.
Conceptually, it combines fingerprinting, exact-phrase matching, n-gram overlap, and semantic similarity assessment to identify matches, with passage-level reporting and source attribution to facilitate targeted review.
Who benefits: students validating drafts, educators assessing submissions for integrity, and researchers ensuring accurate citations; workflows include pre-submission checks, assignment review, and manuscript preparation.
Unique value includes configurable exclusions for quotations, citation-suggestion tools, exportable reports, and privacy-preserving processing that avoids sharing content beyond analysis.

How to Use

  1. Provide inputs by pasting text or uploading documents in supported formats (TXT, DOCX, PDF).
  2. Configure analysis options (language, citation_style, and optional exclusions for quotes or bibliography).
  3. Run analysis to obtain similarity score, matched sources, and highlighted passages.
  4. Review results, examine source links and excerpts, and refine content as needed.
  5. Export the report as PDF or JSON for records.
How to use ucl plagiarism checker

Frequently Asked Questions

Find Quick Answers

What does the similarity score mean?
The similarity score indicates the portion of input content that matches sources or demonstrates paraphrase patterns. It is a screening metric, not a legal determination of plagiarism; reviewers should examine matches and verify citations before final decisions.
What inputs are supported?
The tool accepts plain text pasted into the field or documents uploaded in TXT, DOCX, or PDF formats. Optional language and citation_style settings refine analysis; exclusions can omit quotations or bibliography sections.
How is paraphrase detected?
Paraphrase detection combines semantic similarity with shallow textual overlap. It flags content that expresses the same ideas with different wording and provides sources for review, while acknowledging that semantic similarity can occur in legitimate summaries.
Is my data private?
Inputs are processed for analysis and not shared with external sources beyond the configured reference corpus in use. Users may choose local processing or explicit retention settings to minimize data storage.

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