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A modern SEO Analyzer Web App built with React and Node.js that leverages TextRazor API for intelligent keyword extraction, readability scoring, and content optimization suggestions. Features include keyword density analysis, content statistics, and real-time SEO recommendations.

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SEO Analyzer Web App

A powerful single-page web application that helps content creators optimize their text for search engines. Perfect for analyzing blogs, newsletters, tweets, or social media captions to improve their SEO performance.

🌟 Features

Content Analysis

  • 📊 Detailed Content Statistics

    • Word count
    • Sentence count
    • Character count
    • Keyword density
  • 📖 Smart Readability Analysis

    • Easy/Medium/Hard score
    • Based on Flesch Reading Ease formula
    • Helps make content more accessible

Keyword Tools

  • 🔑 Intelligent Keyword Analysis

    • Identifies most relevant keywords
    • Shows keyword frequency
    • Calculates keyword density
    • Suggests optimization opportunities
  • ✨ Smart Keyword Insertion

    • One-click keyword insertion
    • Maintains text coherence
    • Automatically finds best placement
    • Preserves original content flow

SEO Optimization

  • 💡 Real-time SEO Suggestions
    • Content length recommendations
    • Keyword distribution advice
    • Readability improvements
    • Best practices tips

🚀 Getting Started

Prerequisites

  • Node.js (14.0 or higher)
  • npm (6.0 or higher)
  • Modern web browser
    • Chrome (recommended)
    • Firefox
    • Safari
    • Edge

Installation

  1. Clone the repository:
git clone [repository-url]
cd seo-analyzer-app
  1. Install backend dependencies:
cd server
npm install
  1. Install frontend dependencies:
cd ../client
npm install

Running the Application

  1. Start the backend server:
cd server
npm start

Server runs at http://localhost:5000

  1. Start the frontend (in a new terminal):
cd client
npm start

Application opens at http://localhost:3000

📝 How to Use

  1. Input Your Content

    • Open the application in your browser
    • Paste your text in the input area
    • Click "Analyze Text"
  2. View Analysis Results

    • See readability score
    • Review content statistics
    • Check keyword analysis
    • Read SEO suggestions
  3. Optimize Your Content

    • Review suggested keywords
    • Click "Insert" next to any keyword
    • See real-time text updates
    • Review the improved content

🔧 Technical Architecture

Frontend (React)

  • Single-page application
  • Real-time content updates
  • Responsive design
  • Modern UI/UX

Backend (Node.js + Express)

  • RESTful API endpoints
  • Text analysis engine
  • Keyword extraction algorithm
  • Smart keyword insertion logic

📁 Project Structure

seo-analyzer-app/
├── client/                 # Frontend React application
│   ├── src/
│   │   ├── App.jsx        # Main application component
│   │   ├── App.css        # Application styles
│   │   └── index.js       # Entry point
│   ├── public/            # Static files
│   └── package.json       # Frontend dependencies
│
├── server/                # Backend Node.js server
│   ├── index.js          # Server implementation
│   └── package.json      # Backend dependencies
│
└── README.md             # Project documentation

🛠️ API Endpoints

POST /analyze

  • Analyzes submitted text
  • Returns SEO metrics and suggestions
  • Provides keyword recommendations

POST /insert-keyword

  • Handles keyword insertion
  • Maintains text coherence
  • Returns updated content

💻 Development

The application is built with modern web technologies and follows best practices for:

  • Clean code architecture
  • Responsive design
  • Error handling
  • User experience

🤝 Contributing

Feel free to:

  • Submit bug reports
  • Propose new features
  • Improve documentation

About

A modern SEO Analyzer Web App built with React and Node.js that leverages TextRazor API for intelligent keyword extraction, readability scoring, and content optimization suggestions. Features include keyword density analysis, content statistics, and real-time SEO recommendations.

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