Plagiarism Checker

A fast plagiarism checker for students, researchers, and writers to assess text originality and identify overlaps across sources.

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About This Tool

Plagiarism Checker UOM is a text similarity tool for students, researchers, editors, and content teams that need to verify originality. It compares two texts or a text against a set of sources to quantify overlap and identify potentially copied material. The tool returns a global similarity score, a per-source breakdown, and a list of matched passages with exact offsets to support citation and revision decisions.
Conceptually, the analysis combines token-based and structural indicators. It normalizes whitespace, tokenizes into n-grams, and uses TF-IDF cosine similarity to gauge direct and broader similarity. Paraphrase signals are flagged through sequence-alignment heuristics to catch rewritten passages. When multiple sources are provided, per-source similarity is reported alongside the overall score.
Who benefits? Students preparing papers, researchers drafting manuscripts, editors conducting checks, and content teams maintaining publication standards. The tool supports multilingual inputs and can operate on short passages or full documents, designed for high-throughput workflows with clear export options. Core features include dual-input comparison, per-source match lists, overall score, passage offsets, and exportable reports (CSV/JSON). Use cases include assignment checks, manuscript originality reviews, and web content audits.

How to Use

  1. Provide inputs: paste two texts or upload documents to compare.
  2. Choose comparison mode: text-to-text, document-to-document, or text-to-set sources.
  3. Run analysis to compute similarity scores and passage matches.
  4. Review outputs: study the overall score and per-source matches; inspect highlighted passages.
  5. Export results: download CSV or JSON for your records.
How to use plagiarism checker uom

Frequently Asked Questions

Find Quick Answers

What sources are checked?
The tool analyzes the provided texts and, if configured, any user-supplied sources or corpora within the system. It does not actively crawl the public web unless an explicit URL-based input is supplied by the user.
How is the similarity score calculated?
The score blends token overlap (60%), paraphrase signals (25%), and source diversity (15%). It uses tokenization, n-grams, TF-IDF cosine similarity, and heuristic paraphrase indicators to approximate originality.
Which document formats are supported?
Supported inputs include plain text and common document formats via uploads (PDF, DOCX, RTF). For best results, please provide text extracts or convert documents to clean text before analysis.
Can I export a report?
Yes. The tool exports results as CSV or JSON, including overall score, passage offsets, and per-source matches, suitable for integration into workflows or publication checks.

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