> ## Documentation Index
> Fetch the complete documentation index at: https://docs.markifact.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Analyze Image

> Analyzes and describes the content of images using artificial intelligence

Analyzes and describes the content of images using artificial intelligence

| | |
| - | - |
| **App** | AI |
| **Operation ID** | `ai_analyze_image` |
| **Type** | Action |
| **Connection** | None |
| **Credits per run** | 2 |
| **Agent / MCP tool** | Yes |
| **MCP** | Not exposed via MCP |

## Inputs

| Field | Type | Required | Default | Description |
| - | - | - | - | - |
| `prompt` | string | Yes | - | Instructions for analyzing the images. This is a multi-line text area where you can: - Describe what to look for in the images - Ask specific questions about visual content - Request analysis of charts, graphs, or documents - Use line breaks to structure complex analysis requests  Example: "Analyze these product images and identify: 1. Product features and quality 2. Any defects or issues 3. Compliance with brand guidelines" |
| `model` | string or SelectableOption | Yes | - | The AI model to use for image analysis. Some available options: 'gpt-4.1' (DEFAULT) - Balanced performance 'gpt-4.1-mini' - Cost-effective |
| `images` | array of string | Yes | - | List of image URLs to analyze (maximum 5 images). You can reference images from upstream nodes using \{\{nodeId\_\_data}} syntax.  Supported formats: JPEG, PNG, GIF, WebP Images can be from URLs, file uploads through the UI, or outputs from other workflow nodes.  Example: \["`https://example.com/image1.jpg`", "\{\{imageNodeId\_\_data.url}}"] |

### SelectableOption

| Field | Type | Required | Default | Description |
| - | - | - | - | - |
| `value` | string | Yes | - | |
| `label` | string | Yes | - | |

## Output

**Type**: `str`

Returns AI analysis of the image(s) as markdown text.


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