AI Screen Analyzer

AI Screen Analyzer is a powerful web application that allows users to capture screenshots, analyze them using various AI providers and models, and engage in conversations about the captured images.

🚀 Features

• Modern UI: Sleek, responsive interface with dark/light mode and glass morphism effects
• Screen Capture: Easily capture screenshots of your desktop or specific windows
• Multi-Model AI Analysis: Analyze images using multiple AI models:
  • OpenAI's GPT-4o Vision
  • Anthropic's Claude 3
  • Ollama's local models (including LLaVA)
• Intelligent Chat: Engage in conversations about the analyzed images or any topic
• Model Switching: Seamlessly switch between different AI models without losing context
• Dark/Light Mode: Toggle between dark and light themes based on preference or system settings
• Capture History: View and manage your recent screen captures
• Responsive Design: Works great on desktop and mobile devices
• Local Setup: Run the application locally for enhanced privacy and customization
• Docker Support: Run in Docker for easy deployment

✨ Use Cases

• UI/UX Research: Capture and analyze interfaces for design inspiration
• Code Generation: Capture a website you like and ask the AI to provide the code
• Technical Support: Take screenshots of errors and get AI assistance
• Content Analysis: Analyze charts, graphs, or visual data
• Learning Tool: Ask questions about anything you see on your screen

🚀 Quick Start

Docker (Recommended)

Add your API keys in .env file:

docker-compose up -d --build

Visit http://localhost:3000

Prerequisites:

• Docker
• Node.js (v22 or higher)
• npm

Local Setup

1. Clone the repository:

   git clone https://github.com/bigsk1/ai-screen-analyzer.git
   cd ai-screen-analyzer
   

2. Install dependencies:

   npm install
   

3. Create a .env file in the root directory and add your API keys:

   REACT_APP_OPENAI_API_KEY=your_openai_api_key
   ANTHROPIC_API_KEY=your_anthropic_api_key
   ANTHROPIC_MODEL=claude-3-5-sonnet-20241022
   
   OLLAMA_API_URL=http://localhost:11434

4. Start the development server:

   npm run dev
   

5. Open your browser and navigate to http://localhost:3000.

AI Screen Analyzer in action

🧰 Technologies Used

• Frontend: React, Tailwind CSS
• Backend: Node.js, Express
• AI Services: OpenAI API, Anthropic API, Ollama
• Containerization: Docker

🔧 Configuration

• Add your API keys in .env file
• To change the default Anthropic model, update the ANTHROPIC_MODEL variable
• For Ollama, the default URL is http://localhost:11434 when running natively, and host.docker.internal:11434 in Docker