# Reporting

This API endpoint allows you to report and review images. To report an image, you must provide the `image_id` , `score`, `categories`, and a valid API key.

{% hint style="info" %}
**Before you continue**\
You can find the list of report categories in the API specification. Additionally, there's an optional `comment` property where you can provide any feedback.
{% endhint %}

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

```javascript
const imageId = "ID_OF_YOUR_IMAGE";
const apiKey = "YOUR_API_KEY";
const score = 4;
const categories = ["LENS_CORRECTION","AUTO_PRIVACY"]

const reportImage = async (imageId, apiKey, score, categories) => {
    const reportImageResponse = await fetch(
      `https://api.autoenhance.ai/v3/images/${imageId}/report`,
      { 
        method: "POST" 
        headers:{
          "x-api-key": apiKey,  
        },
        body: JSON.stringify({
          score: score,
          categories: categories
        }),
      }
    );
}
```

{% endtab %}

{% tab title="Python" %}

```python
import requests
import json

image_id = "ID_OF_YOUR_IMAGE"
api_key = "YOUR_API_KEY"
score = 4
categories = ["LENS_CORRECTION", "AUTO_PRIVACY"]

def report_image(image_id, api_key, score, categories):
    url = f"https://api.autoenhance.ai/v3/images/{image_id}/report"
    headers = {
        "x-api-key": api_key,
        "Content-Type": "application/json"
    }
    data = {
        "score": score,
        "categories": categories
    }

    response = requests.post(url, headers=headers, data=json.dumps(data))
    return response
```

{% endtab %}

{% tab title="PHP" %}

```php
$image_id = "ID_OF_YOUR_IMAGE";
$api_key = "YOUR_API_KEY";
$score = 4;
$categories = array("LENS_CORRECTION", "AUTO_PRIVACY");

function report_image($image_id, $api_key, $score, $categories) {
    $url = "https://api.autoenhance.ai/v3/images/$image_id/report";

    $data = array(
        'score' => $score,
        'categories' => $categories
    );

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

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

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

    return 'Image reported successfully';
}
```

{% endtab %}

{% tab title="cURL" %}

```
curl -X POST \
  https://api.autoenhance.ai/v3/images/ID_OF_YOUR_IMAGE/report \
  -H 'Content-Type: application/json' \
  -H 'x-api-key: YOUR_API_KEY' \
  -d '{
        "score": 4,
        "categories": ["LENS_CORRECTION", "AUTO_PRIVACY"]
    }'
```

{% endtab %}
{% endtabs %}

### Specification

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