Copyleaks

Scans submitted content against billions of web pages and live internet sources in real-time to identify matching or similar text. Uses AI-powered comparison algorithms to detect plagiarism across the entire indexed web.

Compares submitted content against academic papers, dissertations, and scholarly databases to identify academic plagiarism. Detects matches in institutional repositories and published research.

Accepts and analyzes plagiarism across multiple file formats including Word documents, PDFs, and images with OCR technology. Converts various formats to text for comprehensive plagiarism analysis.

Detects plagiarism across 100+ languages, enabling content verification for international and multilingual organizations. Supports language-specific plagiarism detection without requiring manual translation.

Provides API integration for automated, large-scale plagiarism detection across multiple documents. Enables institutions to integrate plagiarism checking into existing workflows and process hundreds or thousands of submissions programmatically.

Calculates and reports similarity percentages and match statistics for submitted content. Provides detailed metrics on how much content matches existing sources and identifies specific matching segments.

Identifies matching sources and provides attribution information for detected plagiarism. Shows where content matches originated and provides source URLs and publication details.

Verifies whether content is original and authentic by comparing against plagiarism databases. Provides confidence scores on content originality for publishing and distribution decisions.

Supports institutional plagiarism policies by providing standardized detection and reporting across an organization. Enables consistent plagiarism enforcement across departments and courses.

Detects plagiarism and duplicate content issues relevant to SEO performance. Identifies content duplication that could harm search rankings and provides recommendations for content uniqueness.