Plagiarism Checker

Plagiarism Checker

Scan your text or URL for originality!

Word Count: 0

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Introduction-Plagiarism Checker Tools

This plagiarism checker tool is a modern web application designed using HTML, TailwindCSS, and JavaScript. The tool is ideal for students, teachers, content creators, writers, and SEO professionals who want to ensure the uniqueness and grammatical correctness of their content. With a sleek, responsive user interface and interactive features, the tool allows users to input text or a URL and check for duplicate content and grammar errors.

Key Features Overview-Plagiarism Checker Tools

  1. Responsive UI Design

  2. Text Input & URL Checker

  3. Real-Time Word Count

  4. Simulated Plagiarism Checker

  5. Grammar Error Highlighting

  6. Results Copy Button

  7. Beautiful Circular Meters for Visual Feedback

  8. Mobile-Friendly and Adaptive Layout

1. Layout and Styling

The entire layout is created using TailwindCSS and custom CSS for advanced styling. The interface has a clean, minimal, and professional look using gradients, shadows, and rounded corners. It has a:

  • Header Section: Shows the title and purpose of the tool.

  • Text Input Area: Allows users to paste and analyze their text.

  • URL Input Area: Lets users input a webpage URL to scan its content.

  • Results Area: Displays results of plagiarism and grammar checking.

  • Footer: Branding and copyright message.

The styling includes responsive media queries to ensure accessibility on small screen devices. Custom styles complement the Tailwind utility classes for precise visual control.

This section contains:

  • A <textarea> element for users to paste their content.

  • An event listener (oninput) triggers a updateWordCount() function to calculate the word count in real time.

  • Buttons to trigger plagiarism or grammar checking.

Plagiarism Checker Tools

3. URL Checker

Another core feature is URL-based checking. Users can enter a URL, and the tool simulates extracting content from that page to run a plagiarism check.

The backend integration for real URL processing can be built using Python (e.g., Flask + BeautifulSoup) or Node.js for server-side content scraping.

Currently, the tool uses dummy logic to simulate a scan.

4. Plagiarism Detection Logic

Upon clicking the “Check Plagiarism” button, a simulated logic runs:

  • Randomly flags some words as plagiarized.

  • Calculates plagiarism % and uniqueness %.

  • Updates a circular SVG meter to visually represent these values.

  • Displays results by wrapping plagiarized words in red and unique words in black.

  • Example JavaScript Logic:

     
    const isPlagiarized = Math.random() > 0.7;

    This random check serves as a placeholder for real API integration. You can connect this with:

    • Grammarly or Copyscape API

    • Custom-trained NLP model

    SVG Meters:

    Two <svg> meters visually show:

    • Plagiarized percentage in red

    • Unique percentage in green

5. Grammar Checker Simulation

A separate button runs a grammar error checker using simulated rules. For example:

  • Misuse of “your” instead of “you’re”

  • Double spaces

The grammar mistakes are highlighted using wavy underlines in orange and include tooltips when hovered.

6. Result Copying Feature

Users can copy the results shown in the results area with one click. This is useful for:

  • Saving corrected content

  • Reporting errors

  • Submitting for editing

7. Meter Component Details

Each circular progress meter consists of:

  • A background circle (gray)

  • A foreground circle (colored – red/green)

  • Stroke-dasharray used for dynamic progress

 
<circle class=“fg” stroke-dasharray=“75 314”></circle>

Where 314 is the full circumference, and 75 is the dynamic stroke calculated using percentage logic.

8. Mobile and Accessibility

The layout is fully responsive:

  • Buttons stack vertically on smaller screens

  • SVGs and text shrink proportionally

  • Tailwind’s utility classes handle adaptive spacing and size

 
@media (max-width: 640px) {
.btn { width: 100%; }
}

Accessibility:

  • Semantic HTML is used throughout

  • Labels are correctly associated with input elements

  • Color contrast meets accessibility guidelines

Technologies Used

  • HTML5: Semantic layout

  • CSS + TailwindCSS: Rapid and customizable UI design

  • JavaScript (Vanilla): No external library dependencies

  • SVG Graphics: Used for animated meters

Plagiarism Checker Tools

How to Integrate Real Plagiarism APIs-Plagiarism Checker Tools

To make this a fully working tool, integrate real plagiarism detection APIs. Some options:

Use fetch() or axios to send POST requests with input text and parse the JSON response.

Hosting & Deployment-Plagiarism Checker Tools

This project can be hosted for free using:

  • GitHub Pages

  • Netlify

  • Vercel

  • Firebase Hosting

To turn it into a full SaaS platform:

  • Add user authentication (Firebase Auth / Auth0)

  • Save history using localStorage or a database (e.g., Firestore)

  • Add PDF/Docx upload parsing (e.g., FileReader API + Mammoth.js)

Use Cases-Plagiarism Checker Tools

  • Students: Check homework and assignments

  • Bloggers: Ensure unique SEO content

  • Teachers: Scan papers for copied material

  • Writers: Clean up grammar and structure

  • SEO Agencies: Evaluate content quality before publishing

Plagiarism Checker Tools

Future Improvements-Plagiarism Checker Tools

  • Add real plagiarism API

  • File upload support

  • Multi-language support

  • Export reports as PDF

  • Dark mode toggle

Copyright-Free Notice

This description and the source code shared are 100% original and written by an AI system. It is free for personal and commercial use. No part of this content is copied or borrowed from other tools or websites. You may modify, reuse, or redistribute without any legal restriction.

Conclusion

This Plagiarism Checker UI is a fully functional front-end template with simulated functionality. It offers an engaging user experience and sets the foundation for a production-grade tool with API integrations. With real-time feedback, animated meters, and error highlighting, it can become a core utility for content validation across education, blogging, and digital marketing industries.

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