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Complete Guide to Vision AI: Image Processing with Fomoa

Discover how to use Fomoa AI vision capabilities to analyze images, extract text, and build powerful visual AI applications.

Fomoa TeamJanuary 14, 20266 min read

What is Vision AI?

Vision AI enables computers to understand and analyze visual content. Fomoa AI's vision capabilities allow you to:

  • Analyze images - Understand what's in a photo
  • Extract text (OCR) - Read text from images
  • Describe scenes - Get detailed descriptions
  • Answer questions - Ask questions about images
  • How to Use Vision AI

    Uploading Images

    You can send images to Fomoa AI in two ways:

  • Base64 encoding - Embed the image directly
  • URL reference - Provide a link to the image
  • Example: Analyzing an Image

    const response = await fetch('https://fomoa.cloud/api/v1/chat', {
      method: 'POST',
      headers: {
        'Authorization': 'Bearer YOUR_API_KEY',
        'Content-Type': 'application/json',
      },
      body: JSON.stringify({
        messages: [{
          role: 'user',
          content: [
            { type: 'text', text: 'What is in this image?' },
            { type: 'image_url', image_url: { url: 'https://example.com/image.jpg' } }
          ]
        }]
      })
    });

    Use Cases

    1. Document Processing

    Extract text from documents, receipts, or handwritten notes.

    2. Product Recognition

    Identify products in images for e-commerce applications.

    3. Accessibility

    Generate image descriptions for visually impaired users.

    4. Content Moderation

    Analyze images for appropriate content.

    Best Practices

  • Use high-quality images for better accuracy
  • Be specific in prompts - tell the AI what to look for
  • Combine with text for context-aware analysis
  • Try It Now

    Use our Chat Interface to test vision capabilities - just paste an image and ask questions about it!

    Related Resources

  • API Documentation for technical details
  • Getting Started Guide
  • Vision AIImage ProcessingOCRTutorial

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