Analyze Image
Action ID: describe_image
Description
Use AI vision models to analyze and describe image content
Connection
PixelML Connection
The PixelML connection to call PixelML API.
True
pixelml
Input Parameters
image_url
string
✓
-
The URL of the image to analyze and describe
model
dropdown
-
Google Gemini 1.5 Flash
The AI vision model to use for image analysis. Available options: Google Gemini 1.5 Flash, Google Gemini 1.5 Pro, OpenAI GPT-4o
prompt
string
-
Describe the image as an alternative text
Instructions for how the AI should analyze and describe the image
Output Parameters
content
string
The AI-generated description or analysis of the image
How It Works
This node uses advanced AI vision models to analyze and describe image content. You provide an image URL and optional instructions, and the AI processes the visual information to generate detailed text descriptions. The node supports multiple state-of-the-art vision models including Google Gemini and OpenAI GPT-4o, each optimized for different analysis needs.
Usage Examples
Example 1: Generate Alt Text
Input:
image_url: "https://example.com/product-photo.jpg"
model: "Google Gemini 1.5 Flash"
prompt: "Describe the image as an alternative text"Output:
content: "A modern stainless steel coffee maker on a white kitchen counter, with a glass carafe and digital display showing 7:30 AM"Example 2: Detailed Scene Analysis
Input:
image_url: "https://example.com/landscape.jpg"
model: "Google Gemini 1.5 Pro"
prompt: "Provide a detailed description of this landscape including weather conditions, time of day, prominent features, and mood"Output:
content: "A serene mountain landscape captured during golden hour, with the setting sun casting warm orange and pink hues across the sky. Snow-capped peaks dominate the background, while a pristine alpine lake reflects the colorful sky in the foreground. Pine trees line the lake's edge, and the overall mood is peaceful and contemplative. The clear weather and long shadows suggest late afternoon in autumn or early winter."Example 3: Product Feature Extraction
Input:
image_url: "https://example.com/smartphone.jpg"
model: "OpenAI GPT-4o"
prompt: "List all visible features and specifications of this product"Output:
content: "The image shows a modern smartphone with the following visible features: a 6.7-inch edge-to-edge display, triple camera system on the back, metallic frame in silver color, front-facing camera centered at the top, volume buttons on the left side, power button on the right side, USB-C charging port at the bottom, and what appears to be a fingerprint sensor integrated into the power button."Common Use Cases
Accessibility: Generate alt text for images to improve web accessibility
Content Moderation: Analyze images for inappropriate or unwanted content
Product Cataloging: Extract product features and details from images
Image Search: Create searchable descriptions for large image libraries
Quality Assurance: Verify that images meet specific criteria or contain required elements
Social Media Management: Generate captions and descriptions for social media posts
E-commerce: Automatically generate product descriptions from images
Error Handling
Invalid Image URL
URL is malformed or inaccessible
Verify the image URL is valid and publicly accessible
Image Not Found
The URL returns a 404 error
Check that the image exists at the specified URL
Unsupported Format
Image format is not supported by the vision model
Use common formats like JPEG, PNG, or WEBP
Image Too Large
Image file size exceeds limit
Reduce image file size or resolution
Model Unavailable
Selected model is temporarily unavailable
Try a different model or retry later
Connection Failed
Unable to access PixelML API
Check PixelML connection credentials and API availability
Rate Limited
Too many requests in a short period
Wait before making additional requests
Notes
Model Selection: Gemini 1.5 Flash is fastest and most cost-effective for simple descriptions. Gemini 1.5 Pro and GPT-4o offer more detailed analysis for complex images.
Prompt Customization: Customize the prompt to get specific types of descriptions (accessibility text, detailed analysis, feature lists, etc.).
Image Quality: Higher resolution images with good lighting produce more accurate and detailed descriptions.
Processing Time: Response time varies by model - Flash is fastest (1-2 seconds), Pro and GPT-4o take slightly longer (2-5 seconds).
Context Understanding: Vision models can understand context, relationships between objects, and even read text within images.
Language Support: All models support multilingual prompts and can generate descriptions in multiple languages.
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