Plagdoc is an online plagiarism checker and analyzer that scans documents, writing, and assignments against more than 19 billion web pages. It is aimed at businesses, students, educators, content writers, teachers, publishers, and academic institutions seeking to verify originality and detect copied material.
The service produces a similarity score with deep search accuracy and highlights matched text using color grading. Users can click through to view matched sources, generate downloadable originality reports in common file formats, and access multiple report views. These include online plagiarism search, cross comparison of document repositories in tabular color-coded format, group compare across two repositories with summary findings, and side-by-side analysis of a single document against an entire repository that supplies references, similarity percentages, and source links.
Additional capabilities encompass a document library for organizing files and folders, team collaboration with role-based user access, API integration for learning or content management systems, and detection across more than 100 languages including English, Spanish, Hindi, German, and Russian. The platform supports a range of content types such as essays, research papers, reports, blogs, web content, and programming code. It emphasizes privacy through encrypted connections, GDPR-compliant policies, and a commitment that user data and documents are never shared or sold.
Plagdoc is delivered as a web-based platform with integration options for educational tools. It offers plans for businesses and for K-12 and higher education users.
Plagdoc sits in PulseGate's LLM eval & observability category. It detects and analyzes plagiarism in documents and web content to ensure originality and prevent content duplication. Plagdoc is a consumer product aimed at students, educators, content writers, and publishers. A free plan is available. Plagdoc is available on the web, embeddable surfaces, and Windows.
Plagdoc first shipped in 2025. Key capabilities include plagiarism detection, similarity scoring, and multiple file formats. It exposes integrations via a public API.
Summary written by a language model from the project’s public pages.
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