> ## Documentation Index
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> Use this file to discover all available pages before exploring further.

# Image OCR with Structured Output

> Extract a structured bill schema from a receipt image with a Ministral 14B agent.

## Code

```python image_ocr_with_structured_output.py theme={null}
from typing import List

from agno.agent import Agent
from agno.media import Image
from agno.models.mistral.mistral import MistralChat
from pydantic import BaseModel

class GroceryItem(BaseModel):
    item_name: str
    price: float

class GroceryListElements(BaseModel):
    bill_number: str
    items: List[GroceryItem]
    total_price: float

agent = Agent(
    model=MistralChat(id="ministral-14b-2512"),
    instructions=[
        "Extract the text elements described by the user from the picture",
    ],
    output_schema=GroceryListElements,
    markdown=True,
)

agent.print_response(
    "From this restaurant bill, extract the bill number, item names and associated prices, and total price and return it as a string in a Json object",
    images=[Image(url="https://i.imghippo.com/files/kgXi81726851246.jpg")],
)

```

## Usage

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

**1. Set your API key**

```bash theme={null}
export MISTRAL_API_KEY=xxx
```

**2. Install dependencies**

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

**3. Run Agent**

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

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


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