Urdu Text Reuse Detection

Protect your content and ensure originality with our state-of-the-art Text Reuse detection tools specifically designed for Urdu language. Whether you're a student, writer, or researcher, we offer reliable solutions to safeguard your work against text reuse and maintain academic integrity.

How it works

Easily check the originality of your Urdu content with our simple and efficient text reuse detection tool. Just upload your text, and let our advanced model scan and generate a detailed report in seconds.

Step 1

Submit Content

Upload your urdu text, article, or research paper directly to our platform. Our intuitive interface makes it easy for you to get started.

Step 1 - Submit Content

Step 2

Text Reuse Detection

Our advanced text reuse detection verify your content for context similarities.

Step 2 - Text Reuse Detection

Step 3

Report Generation

Receive a detailed Text Reuse detection report highlighting the class content similarity. Our system provides you with a comprehensive analysis to help you ensure originality.

Step 3 - Report Generation

API Services

Powerful API for Seamless Integration

Integrate our text reuse detection detection tool into your application, website, or platform using our powerful API. Our API provides a fast, accurate, and scalable solution to detect text reuse in Urdu content, whether you`'re a developer, a content manager, or an institution.

APIs for اُردُو

Create, manage and automate your policies with Permit's API. Anything done via the UI can be done with our API, Terraform provider or SDKs as well!

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 import requests import json url = "https://urduplagdetect.vercel.app/api/apiServices/Paraphrase" headers = { "Authorization": "Bearer YOUR_API_HERE", "Content-Type": "application/json" } data = { "original": "this is original", "paraphased": "this is paraphased" } response = requests.post(url, headers=headers, json=data) if response.status_code == 200: result = response.json() print("Response:", result) # Response: { "result": true, "output": { "class": "PD", "url": "https://..." } } else: print(f"Error: {response.status_code}", response.text)

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