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

# Image To Text

> Pass a local sample.jpg to GPT-5.2 with OpenAIResponses and print a three-sentence story about the image.

Image to Text Example.

```python image_to_text.py theme={null}
"""
Image To Text
=============================

Image to Text Example.
"""

from pathlib import Path

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

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

image_path = Path(__file__).parent.joinpath("sample.jpg")

# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
if __name__ == "__main__":
    agent.print_response(
        "Write a 3 sentence fiction story about the image",
        images=[Image(filepath=image_path)],
    )
```

## Run the Example

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

**1. Install dependencies**

```bash theme={null}
uv pip install -U agno openai
```

**2. Export your OpenAI API key**

```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"
```

**3. Add the sample image**

Place a JPEG named `sample.jpg` in the same directory as `image_to_text.py`.

**4. Run the example**

Save the code above as `image_to_text.py`, then run:

```bash theme={null}
python image_to_text.py
```

Full source: [cookbook/02\_agents/12\_multimodal/image\_to\_text.py](https://github.com/agno-agi/agno/blob/v3.0.4/cookbook/02_agents/12_multimodal/image_to_text.py)


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