# Quick Start

## Get your API keys

Your API requests are authenticated using API keys. Any request that doesn't include an API key will return an error.  You can generate and manage API keys in [your Claid account](<https://claid.ai/account/api >).&#x20;

## Make an image processing request

To make your first request, send an authenticated request to the [image editing](/image-editing-api/image-i-o.md) endpoint. All you need to do is just replace API key placeholder with your actual API key.

This sample request will perform ML-based color adjustment, sharpen the image and turn it into 800x800 square.

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

```http
POST /v1/image/edit HTTP/1.1
Host: api.claid.ai
Authorization: Bearer {YOUR_API_KEY}
Content-Type: application/json

{
    "input": "https://claid.ai/doc-samples/bag.jpeg",
    "operations": {
        "resizing": {
            "width": 800,
            "height": 800,
            "fit": "crop"
        },
        "adjustments": {
            "hdr": 60,
            "sharpness": 40
        }
    },
    "output": {
        "format": {
	    "type": "jpeg",
	    "quality": 90
	}
    }
}
```

{% endtab %}

{% tab title="cURL" %}

```shell
curl -X POST --location "https://api.claid.ai/v1/image/edit" --http1.1 \
    -H "Host: api.claid.ai" \
    -H "Authorization: Bearer {YOUR_API_KEY}" \
    -H "Content-Type: application/json" \
    -d "{
            \"input\": \"https://claid.ai/doc-samples/bag.jpeg\",
            \"operations\": {
                \"resizing\": {
                    \"width\": 800,
                    \"height\": 800,
                    \"fit\": \"crop\"
                },
                \"adjustments\": {
                    \"hdr\": 60,
                    \"sharpness\": 40
                }
            },
            \"output\": {
                \"format\": {
        	    \"type\": \"jpeg\",
        	    \"quality\": 90
        	}
            }
        }"c
```

{% endtab %}
{% endtabs %}

Your response should be similar to following:

```http
HTTP/1.1 200 OK
Content-Type: application/json
Content-Length: 319
Connection: keep-alive
ratelimit-limit: 120, 120;w=60, 4;w=1
ratelimit-remaining: 118
ratelimit-reset: 42
x-request-id: 4005f581-723f-4c79-85a1-bdd752718887


{
  "data": {
    "input": {
      "ext": "jpeg",
      "mps": 4.1472,
      "mime": "image/jpeg",
      "format": "JPEG",
      "width": 2880,
      "height": 1440
    },
    "output": {
      "ext": "jpeg",
      "mps": 0.64,
      "mime": "image/jpeg",
      "format": "JPEG",
      "width": 800,
      "height": 800,
      "tmp_url": "....."
    }
  }
}
```

And here's the sample image we just used in our request (left) and the result it produced (right).

![Input image](/files/Bmmdz5XHGm2I6lBpiOQH) ![Output image, 800x800 square](/files/knO0uFaHF7LhywUr6LiB)


---

# 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.claid.ai/quick-start.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.