Plagiarism Checker

The tool analyzes input text against a broad corpus of public web content and indexed academic sources to determine originality. It accepts pasted text or uploaded documents (TXT, DOCX, PDF) and returns a quantified similarity score, a ranked list of matches with excerpts, and optional source attributions suitable for citations or editorial notes.
Algorithmically, it tokenizes content, normalizes whitespace and punctuation, and applies both cosine similarity and Jaccard-based overlap to detect exact matches, near-duplicates, paraphrase-level overlaps, and sequence reuse. It also flags high-risk passages and assigns confidence levels to each match.
Key value stems from multi-source coverage, language options, privacy controls, and exportable reports in PDF, CSV, or JSON. Default behavior avoids retaining user submissions; data retention is optional for audit trails in educational or corporate workflows, with clear controls and deletion options.
Use cases include pre-publication originality checks for academic papers and student submissions, content marketing audits for SEO readiness and compliance, editorial quality assurance, and plagiarism risk assessment for internal documentation or training materials.