> For the complete documentation index, see [llms.txt](https://docs.claid.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.claid.ai/storage-connectors/aws-s3.md).

# AWS S3

1. Go to [Storages](https://claid.ai/account/storage) dashboard page and click "Connect your storage"
2. Select "AWS S3" Storage type

![](/files/dMaRICl7lqkP5jQgCzuq)

3\. Fill in the details for the Amazon S3 Storage. The parameters are:

* **Access Key ID**: The access key of the AWS credentials.
* **Secret access key**: The secret key of the AWS credentials.
* **Bucket**: The name of the bucket containing the images which you want to process with Claid API.
* **Storage name:** storage identifier which will be used in image URL when creating image processing request.
* **Path (optional)**: The S3 prefix (folder) under which images are stored. This prefix is prepended to the image path before accessing the image in S3 storage. By default the path is `/`.

4\. Click "Add storage" button. Your storage is now ready to accept requests.

{% hint style="danger" %}
We **strongly recommend** creating an Amazon IAM account specifically for Claid with a limited set of permissions. You may get advice on IAM permissions for your specific case from your Customer Success Manager. All AWS credentials are stored in a secure encrypted secrets storage.
{% endhint %}