Vision Analyze

---

name: vision-analyze

description: Image analysis using multimodal vision models. Use when user needs to: (1) Describe what's in an image, (2) Extract text from images (OCR), (3) Analyze visual content, (4) Compare images, (5) Answer questions about images. Supports JPG, PNG, GIF, WebP formats.

metadata:

{

"openclaw":

{

"emoji": "👁️",

"requires": {},

},

}

---

# Vision Analyze

Analyze images using the built-in vision capabilities of multimodal AI models.

Quick Start

Analyze an Image

Describe what's in an image:

# The agent will automatically use vision when you provide an image path
image("/path/to/image.jpg", prompt="Describe what's in this image")

Extract Text (OCR)

Extract text from images:

image("/path/to/document.png", prompt="Extract all text from this image")

Analyze Multiple Images

Compare or analyze multiple images:

images(["/path/to/image1.jpg", "/path/to/image2.jpg"], 
       prompt="Compare these two images and describe the differences")

Usage Patterns

Visual Q&A

Ask specific questions about image content:

image("menu.jpg", prompt="What are the prices of the main courses?")
image("chart.png", prompt="What trend does this graph show?")
image("screenshot.png", prompt="What error message is displayed?")

Content Moderation

Check image content:

image("upload.jpg", prompt="Is this image appropriate for a professional setting?")

Data Extraction

Extract structured data from visual content:

image("receipt.jpg", prompt="Extract the date, total amount, and items purchased")
image("business_card.png", prompt="Extract name, phone, email, and company")
image("form.jpg", prompt="Extract all filled fields as key-value pairs")

Visual Comparison

Compare images:

images(["before.jpg", "after.jpg"], 
       prompt="What changes were made between these two images?")

Tips

When to Use