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

# Image Enhancing Recipes

> Quickly get started by copying one of the image enhancing recipes.

## Enhancing images from URL

<Warning> Make sure the URL is publicly accessible and points to an image file.
Example: `https://fastly.picsum.photos/id/996/200/300.jpg?hmac=vjpTROwvLRamauR7RHTF21dxsN351pnM44SxoByue5c`</Warning>

### Python

```py theme={null}
import requests

API_KEY = "YOUR API KEY"
BASE_URL = "https://backend.tensorpix.ai/api"
HEADERS = {"Authorization": f"Token {API_KEY}"}


def make_api_call(payload, url=f"{BASE_URL}/images/enhance/from-url/"):
    try:
        response = requests.post(url=url, headers=HEADERS, data=payload)
        response.raise_for_status()
        return response.json()

    except requests.exceptions.RequestException as e:
        print(f"Error making API call: {e}")
        raise e


payload = {
    "output_format": "jpeg",
    "enhancement_type": "sr2x",
    "face_enhance": False,
    "watermark": True,
    "url": "https://dummyimage.com/600x400/000/fff",
}
response = make_api_call(payload=payload)
print("Enhanced image URL", response["enhanced_url"])
```