# Reprocessing

This API endpoint allows you to reprocess any image you own. To reprocess an image, you must provide the `image_id` and a valid API key.

{% hint style="info" %}
**Important note**

All preferences that you don't specify will default to the previously set preferences of your image from the last time it was enhanced.
{% endhint %}

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

```javascript
const apiKey = "YOUR_API_KEY";
const imageId = "ID_OF_YOUR_IMAGE";
const preferences = {
  ai_version: "4.x",
  enhance: true,
  enhance_type: 'neutral',
  hdr: true
}

const processImage = async (imageId, apiKey, preferences) => {
    const processImageResponse = await fetch(
      `https://api.autoenhance.ai/v3/images/${imageId}/process`,
      {
        method: "POST",
        headers: {
          "Content-Type": "application/json",
          "x-api-key": apiKey,
        },
        body: JSON.stringify({
          ...preferences
        }),
      }
    );

    const data = await processImageResponse.json();
}
```

{% endtab %}

{% tab title="Python" %}

```python
import requests

api_key = "YOUR_API_KEY"
image_id = "ID_OF_YOUR_IMAGE"
preferences = {
    "ai_version": "4.x",
    "enhance": True,
    "enhance_type": "neutral",
    "hdr": True
}

def edit_image(api_key, image_id, preferences):
    url = f"https://api.autoenhance.ai/v3/images/{image_id}/process"
    headers = {
        "Content-Type": "application/json",
        "x-api-key": api_key,
    }
    payload = {
        **preferences
    }
    
    response = requests.post(url, headers=headers, json=payload)
    response_data = response.json()

    return response_data
```

{% endtab %}

{% tab title="PHP" %}

```php
$image_id = "ID_OF_YOUR_IMAGE";
$api_key = "YOUR_API_KEY";
$preferences = array(
    'ai_version' => '4.x',
    'enhance' => true,
    'enhance_type' => 'neutral',
    'hdr' => true
);

function process_image($image_id, $api_key, $preferences) {
    $url = "https://api.autoenhance.ai/v3/images/$image_id/process";

    $options = array(
        'http' => array(
            'header'  => "Content-Type: application/json\r\n" .
                         "x-api-key: $api_key",
            'method'  => 'POST',
            'content' => json_encode($preferences),
        ),
    );

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

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

    $data = json_decode($result, true);
    // Process the $data as needed
    return $data;
}
```

{% endtab %}

{% tab title="cURL" %}

```
curl -X POST \
  https://api.autoenhance.ai/v3/images/ID_OF_YOUR_IMAGE/process \
  -H 'Content-Type: application/json' \
  -H 'x-api-key: YOUR_API_KEY' \
  -d '{
        "ai_version": "4.x",
        "enhance": true,
        "enhance_type": "neutral",
        "hdr": true
      }'
```

{% endtab %}
{% endtabs %}

The response after successfully editing or reprocessing an image will contain all the details of your image with the uploaded values.

### Specification

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