Image Input Node
The Image Input node allows you to analyze and process images using advanced AI vision models. It can describe image content, extract information, answer questions about images, and perform various computer vision tasks by processing images from uploaded files.
To use the image node, upload a file or multiple files and connect the node to your input.

OCR
OCR is OFF by default. Turn it ON to first transform the image to text before passing to the model. A model of your choice will transform the image to text, based on a prompt you provide.
Available Models
Select the AI vision model to use for image analysis
gpt-4o: Fastest option
gpt-4.1: Balanced option offering good performance with faster processing
flux-kontext-pro: Advanced model for detailed image understanding and complex analysis
OCR prompt: Describe what you want the AI to do with the image
Be specific about what information you need extracted
Examples: "Describe the content of this image in detail", "Count the number of people in this photo", "What text is visible in this image?"
Outputs
The Image Input node provides processed information based on your prompt and the selected model's analysis of the image.
Common Use Cases
Content Moderation: Automatically detect inappropriate or unsafe content in images
Product Cataloging: Extract product details, descriptions, and features from product photos
Document Processing: Extract text and data from scanned documents, receipts, or forms
Quality Control: Analyze product images for defects or compliance issues
Social Media Management: Generate captions and descriptions for social media posts
Accessibility: Create alt text descriptions for web images
Inventory Management: Count items or identify products in warehouse photos
Medical Imaging: Analyze medical images for preliminary screening (with appropriate oversight)
Real Estate: Generate property descriptions from listing photos
Education: Create study materials by analyzing diagrams, charts, or textbook images
Prompt Examples
General Description: "Describe everything you see in this image in detail"
Text Extraction: "Extract all visible text from this image and format it as plain text"
Object Counting: "Count how many [specific objects] are visible in this image"
Color Analysis: "What are the dominant colors in this image?"
Scene Understanding: "What is the setting or location shown in this image?"
Safety Assessment: "Identify any potential safety hazards visible in this workplace image"
Product Information: "List all the product features and specifications visible on this packaging"
Best Practices
Image Quality: Use high-resolution, clear images for better analysis results
Specific Prompts: Be precise about what information you need from the image
Model Selection: Choose the appropriate model based on complexity requirements
URL Accessibility: Ensure image URLs are publicly accessible and don't require authentication
File Formats: Use standard image formats (JPG, PNG) for best compatibility
Privacy Considerations: Be mindful of privacy when processing images containing personal information
Troubleshooting
Image Not Loading: Verify the image URL is correct and publicly accessible
Poor Analysis Results: Try using a more detailed or specific prompt
Model Errors: Switch to a different model if you encounter processing issues
Slow Processing: Consider using o3-mini for faster results on simple tasks
Format Issues: Ensure your image is in a supported format and not corrupted
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