> ## Documentation Index
> Fetch the complete documentation index at: https://agno-v2-update-deprecated-models.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Image to Text Analysis

This example demonstrates how to create an agent that can analyze images and generate creative text content based on the visual content.

## Code

```python image_to_text.py theme={null}
from pathlib import Path

from agno.agent import Agent
from agno.media import Image
from agno.models.openai import OpenAIResponses

agent = Agent(
    model=OpenAIResponses(id="gpt-5.2"),
    markdown=True,
)

image_path = Path(__file__).parent.joinpath("sample.jpg")
agent.print_response(
    "Write a 3 sentence fiction story about the image",
    images=[Image(filepath=image_path)],
)
```

## Usage

<Steps>
  <Snippet file="create-venv-step.mdx" />

  <Step title="Install dependencies">
    ```bash theme={null}
    uv pip install -U agno openai
    ```
  </Step>

  <Step title="Export your OpenAI API key">
    <CodeGroup>
      ```bash Mac/Linux theme={null}
        export OPENAI_API_KEY="your_openai_api_key_here"
      ```

      ```bash Windows theme={null}
        $Env:OPENAI_API_KEY="your_openai_api_key_here"
      ```
    </CodeGroup>
  </Step>

  <Step title="Run Agent">
    ```bash theme={null}
    python image_to_text.py
    ```
  </Step>
</Steps>