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REQUIREMENTS.md

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1. Project Overview

1.1 Purpose

The Image Metadata Tool is a web-based application designed to analyze images using AI technology and extract meaningful metadata. It uses OpenAI's GPT Vision API to generate descriptive information about images and exports this data in CSV format.

1.2 Scope

The application provides a user interface for uploading multiple images, analyzing them using AI, and exporting the analysis results in a structured format.

2. Functional Requirements

2.1 Image Upload

  • Support multiple image file uploads simultaneously
  • Accept common image formats (JPEG, PNG, etc.)
  • Provide visual feedback during upload process
  • Validate file types and sizes before upload

2.2 Image Analysis

  • Integrate with OpenAI's GPT Vision API
  • Generate the following metadata for each image:
    • Title (max 70 characters)
    • Description (max 200 characters)
    • Keywords (comma-separated)
  • Process multiple images in sequence
  • Handle API errors gracefully
  • Display analysis progress

2.3 Results Management

  • Display analysis results in real-time
  • Show the following for each image:
    • Original filename
    • Generated title
    • Generated description
    • Generated keywords
  • Indicate success/failure status for each image
  • Allow export of results to CSV format

2.4 CSV Export

  • Export all successful analysis results to CSV
  • CSV format should include:
    • Filename
    • Title
    • Description
    • Keywords
  • Properly handle special characters and CSV formatting
  • Generate timestamped filenames for exports

2.5 API Key Management

  • Allow users to input their OpenAI API key
  • Secure storage of API key during session
  • Validate API key format
  • Handle API authentication errors

3. Non-Functional Requirements

3.1 Performance

  • Process multiple images efficiently
  • Responsive user interface during processing
  • Optimize image handling for API requests
  • Handle large batches of images without crashing

3.2 Security

  • Secure handling of API keys
  • Client-side image processing
  • No permanent storage of sensitive data
  • Secure data transmission

3.3 Usability

  • Clean, intuitive user interface
  • Clear error messages
  • Progress indicators for long operations
  • Responsive design for different screen sizes

3.4 Reliability

  • Graceful error handling
  • Recovery from API failures
  • Data validation at all steps
  • No data loss during export

4. Technical Requirements

4.1 Frontend

  • Next.js framework
  • React components
  • Material-UI for interface elements
  • TypeScript for type safety

4.2 API Integration

  • OpenAI GPT Vision API
  • Base64 image encoding
  • JSON response parsing
  • Error handling and retries

4.3 Data Processing

  • CSV generation
  • Image format handling
  • Memory management
  • Data validation

5. Constraints

5.1 Technical Constraints

  • Browser compatibility requirements
  • API rate limits
  • Image size limitations
  • Network bandwidth considerations

5.2 Business Constraints

  • OpenAI API costs
  • User-provided API keys
  • Processing time limitations
  • Data privacy requirements

6. Future Considerations

6.1 Potential Enhancements

  • Batch processing optimization
  • Additional metadata fields
  • Custom analysis parameters
  • Result caching
  • Alternative AI model support

6.2 Scalability

  • Handle larger image sets
  • Improved performance
  • Additional export formats
  • Enhanced error logging

7. Documentation Requirements

7.1 User Documentation

  • Installation instructions
  • Usage guidelines
  • API key setup
  • Troubleshooting guide

7.2 Technical Documentation

  • Code documentation
  • API integration details
  • Development setup
  • Deployment procedures