# Retrieveing

This API endpoint allows you to retrieve a image. To retrieve an image, you must provide the `image_id`.

{% tabs %}
{% tab title="JavaScript" %}

```javascript
const imageId = "ID_OF_YOUR_IMAGE";

const getImage = async (imageId) => {
    const getImageResponse = await fetch(
      `https://api.autoenhance.ai/v3/images/${imageId}`,
      { method: "GET" }
    );

    const image = await getOrderResponse.json();
}
```

{% endtab %}

{% tab title="Python" %}

```python
image_id = "ID_OF_YOUR_IMAGE";

def get_image(image_id):
    url = f"https://api.autoenhance.ai/v3/images/{image_id}"
    
    response = requests.get(url)
    response_data = response.json()
    
    return response_data
```

{% endtab %}

{% tab title="PHP" %}

```php
$image_id = "ID_OF_YOUR_IMAGE";

function get_image($image_id) {
    $url = "https://api.autoenhance.ai/v3/images/$image_id";

    $options = array(
        'http' => array(
            'method'  => 'GET',
        ),
    );

    $context  = stream_context_create($options);
    $result = file_get_contents($url, false, $context);

    if ($result === FALSE) {
        return 'Error getting image';
    }

    $image = json_decode($result, true);
   
    return $image;
}

```

{% endtab %}

{% tab title="cURL" %}

```
curl -X GET \
  https://api.autoenhance.ai/v3/images/ID_OF_YOUR_IMAGE \
  -H 'Content-Type: application/json'
```

{% endtab %}
{% endtabs %}

The response after successfully fetching an image will contain all the details of your image.

### Specification

{% openapi src="<https://api.autoenhance.ai/docs/openapi.spec>" path="/v3/images/{id}" method="get" %}
<https://api.autoenhance.ai/docs/openapi.spec>
{% endopenapi %}


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.autoenhance.ai/images/managing-images/retrieveing.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.