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

# Text Extraction

> Extract text content from UI elements

Extract text content from your UI using string response schemas. This is useful for reading labels, messages, form values, and any textual content.

## Basic Usage

```python theme={null}
from askui import VisionAgent

with VisionAgent() as agent:
    agent.tools.webbrowser.open_new("http://www.example.com")
    agent.wait(3)
    
    text = agent.get("What is the main heading?", response_schema=str)
    print(f"main heading: {text}")
```

## Best Practices

1. **Be Specific About Location**: Mention where the text is located
   ```python theme={null}
   # Good - specific location
   header = agent.get("What is the text in the page header?", response_schema=str)

   # Less specific
   text = agent.get("What text is shown?", response_schema=str)
   ```

2. **Handle Empty or Missing Text**: Consider that text might not exist
   ```python theme={null}
   from typing import Optional

   # Text might not be present
   optional_text = agent.get("What is the subtitle, if any?", response_schema=Optional[str])

   if optional_text:
       print(f"Subtitle: {optional_text}")
   ```

3. **Clean and Validate Extracted Text**: Post-process extracted text as needed
   ```python theme={null}
   # Extract and clean price
   price_text = agent.get("What is the price?", response_schema=str)
   price_value = float(price_text.replace("$", "").replace(",", ""))
   ```