- Extracting and reading text from images (OCR via vision models)
- Comparing multiple images to detect differences or changes
- Processing video frames to understand temporal progression
- Generating detailed image descriptions or captions
- Answering questions about visual content
π Tips & Best Practices
Prompt Engineering for Vision
1. Be specific: "Count the number of people wearing red shirts" vs "Analyze this image"
2. Request structured output: Ask for JSON, lists, or tables when appropriate
3. Provide context: "This is a medical diagram showing..." helps the model understand
4. Use examples: Show the format you want in your prompt
Image Quality Guidelines
Use clear, well-lit images
Ensure text is readable at original size
Avoid extreme angles or distortions
Crop to relevant content to save tokens
Use standard orientations (avoid rotated images)
Multi-Image Analysis
Order matters: Present images in logical sequence
Reference images explicitly: "In the first image..."
Limit to 10-20 images per request for best results
Use low detail for large batches of similar images
