YouTube Video Analyzer Pro

🌟 Overview

YouTube Video Analyzer Pro is a cutting-edge tool that brings professional-grade video analysis capabilities to content creators and viewers alike. Leveraging advanced AI technologies, it provides deep insights into video content, audience engagement, and market positioning.

✨ Key Features

🧠 AI-Powered Content Analysis

• Smart Summarization
  • Generate concise, intelligent video summaries using Llama 3.2 AI
  • Extract key topics and main points automatically
  • Identify crucial timestamps and segments

🎯 Advanced Transcription System

• Multi-Layer Transcription
  • Primary: YouTube's native transcription API
  • Backup: Whisper AI for videos without existing transcripts
  • Smart timestamps with topic segmentation
  • Custom processing for cleaner output

🎬 Demo Preview

🌍 Professional Translation Hub

• Enterprise-Grade Translation Support

  🇬🇧 English  →  Source Language
  🇪🇸 Spanish  →  Native Quality
  🇫🇷 French   →  Professional Grade
  🇩🇪 German   →  High Accuracy
  🇮🇹 Italian  →  Natural Flow
  🇷🇺 Russian  →  Precise Translation
  

💬 Comment Intelligence

• Sentiment Analysis
  • Emotional tone detection in comments
  • Key themes and patterns identification
  • Audience sentiment tracking
  • Controversy detection
• Engagement Metrics
  • Comment frequency analysis
  • User interaction patterns
  • Community feedback categorization
• Strategic Insights
  • Viewer pain points identification
  • Content improvement suggestions
  • Community engagement opportunities

🔍 Content Discovery Engine

• Channel Analysis
  • Similar video recommendations
  • Content pattern detection
  • Performance metric tracking
• Competitor Intelligence
  • Related content from other creators
  • Niche trend analysis
  • Market positioning insights

🛠️ Technology Stack

Backend Infrastructure

graph TD
    A[FastAPI] --> B[Python 3.9+]
    B --> C[YouTube Data API]
    B --> D[AI Models]
    D --> E[Whisper AI]
    D --> F[Llama 3.2]

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AI Processing Pipeline

• Speech Recognition: Whisper AI
• Content Analysis: Llama 3.2 (Ollama llama3.2-vision:11b model)
• Translation Engine: Custom AI Pipeline
• Comment Analysis: Advanced NLP Models

Frontend Architecture

• Framework: React
• UI Components: Modern Material Design
• Data Visualization: Dynamic Charts
• Responsive Design: Mobile-First Approach

⚡ Performance & Scalability

Free Tier Benefits

• Full access to all features
• Unlimited video analysis
• Complete comment processing
• All languages supported

⚡ Processing Times

Operation	Short Videos (<10min)	Long Videos (>10min)
🔍 Basic Analysis	~30 seconds	1-2 minutes
📝 Transcription	1-2 minutes	3-5 minutes
🌍 Translation	2-3 minutes	5-10 minutes
💬 Comment Analysis	1-2 minutes	2-3 minutes

Note: Processing times may vary depending on server load and video complexity. All operations run locally for maximum privacy and security.

🚀 Getting Started

System Requirements

• Python 3.9+
• 8GB RAM minimum
• GPU recommended for faster processing
• YouTube API Key
• Ollama installed (for Llama 3.2 model)

Installing Ollama and Llama Model

1. Install Ollama

   # For Linux/WSL
   curl -fsSL https://ollama.com/install.sh | sh
   
   # For macOS
   brew install ollama
   
   # For Windows
   # Download from https://ollama.com/download

2. Download Llama Model

   # Start Ollama service
   ollama serve
   
   # In a new terminal, pull the model
   ollama pull llama3.2-vision:11b

   Note: The model is approximately 11GB in size, so ensure you have sufficient disk space and a stable internet connection.

Quick Start

1. Clone & Setup

   git clone https://github.com/KazKozDev/video-analyser.git
   cd video-analyser

2. Environment Setup

   python -m venv venv
   source venv/bin/activate  # Windows: venv\Scripts\activate
   pip install -r requirements.txt

3. Configuration

   cp .env.example .env
   # Add your YouTube API key to .env

4. Launch

   uvicorn server:app --reload

Visit http://localhost:8000 and start analyzing! 🎉

📊 Use Cases

Content Creators

• Channel Optimization
  • Content performance analysis
  • Audience retention insights
  • Engagement optimization
  • Competitor research
  • Multilingual reach expansion

Marketing Teams

• Market Research
  • Trend analysis
  • Competitor tracking
  • Audience insights
  • Content strategy development

Researchers & Analysts

• Data Collection
  • Transcript extraction
  • Comment analysis
  • Engagement metrics
  • Cross-channel comparisons

🤝 Contributing

We welcome contributions! Check our Contributing Guide for more information.

1. Fork the repo
2. Create a feature branch

   git checkout -b feature/amazing-feature

3. Commit changes

   git commit -m 'Add amazing feature'

4. Push to the branch

   git push origin feature/amazing-feature

5. Open a Pull Request

📝 License

Distributed under the MIT License. See LICENSE for more information.

🙏 Acknowledgments

• OpenAI for the incredible Whisper AI
• Meta for Llama 3.2
• YouTube API Team
• All contributors and supporters

⭐ Support the Project

If you found this tool useful, consider:

• Giving it a star ⭐
• Sharing it with others
• Contributing to its development
• Reporting issues or suggesting features

📧 Contact

KazKozDev - @KazKozDev

Project Link: https://github.com/KazKozDev/video-analyser

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Made with ❤️ for the YouTube community
⭐ Star us on GitHub!