> For the complete documentation index, see [llms.txt](https://university.mindstudio.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://university.mindstudio.ai/building-ai-agents/blocks-reference/analyze-image-block.md).

# Analyze Image Block

The **Analyze Image Block** processes and analyzes an image URL based on provided text instructions. It generates a text response based on the analysis that is assigned to a variable.

## Configurations

### **Prompt**

Provide text instructions for analyzing the image. Use <mark style="color:red;">`{{variables}}`</mark> to make the prompt dynamic based on a previous step in the workflow.

#### **Example Prompt**:

`Identify the objects in the image and describe their arrangement. Focus on colors and sizes.`

### **Image URL**

Specify the URL of the image to be analyzed. Use a <mark style="color:red;">`{{variable}}`</mark> to dynamically reference the image URL generated or fetched earlier in the workflow.

### **Output Variable**

Creates a new variable and saves the generated image analysis. Enter a <mark style="color:red;">`variable_name`</mark> to store the response for later use in the workflow.

### **Model Settings**

Choose the AI model that you’d like to use for the image analysis. You may adjust the model’s **Temperature** and **Max Response Size**.

## **Writing Image Analysis Prompts**

Creating a well-crafted prompt is essential for accurate and meaningful image analysis. Follow these guidelines to ensure your prompts guide the AI model effectively:

* **Be Clear and Specific:** Clearly describe what you want the AI to analyze or identify in the image. Focus on specific elements or features relevant to your use case.

  > **Example:** "Identify the main objects in the image, including their colors, sizes, and positions.”
* **Define the Objective:** Explain the purpose of the analysis to provide context for the AI. This helps tailor the response to your needs.

  > **Example:** "Analyze the image and describe how the objects are arranged for interior design recommendations.**”**
* **Break Down Complex Instructions:** Use simple, step-by-step instructions when requesting detailed analyses.

  > **Example:** " 1. List all objects visible in the image. 2. Describe their positions relative to each other. 3. Highlight any unusual or standout features.”
* **Focus on Key Details:** Avoid asking for unnecessary information to keep the analysis concise.

  > **Example:** "Describe the objects on the table, focusing on their materials and colors.”
* **Include Contextual Cues:** Provide additional context for better results, such as the setting, purpose, or focus of the image.

  > **Example:** "This image shows a park scene. Identify all visible plants, trees, and animals.”


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://university.mindstudio.ai/building-ai-agents/blocks-reference/analyze-image-block.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.