> ## Documentation Index > Fetch the complete documentation index at: https://magicads.mintlify.site/llms.txt > Use this file to discover all available pages before exploring further. # GCP Storage Integration > Offload your media inputs and results to Google Cloud Buckets ## Introduction Davinci AI’s allows you to integrate cloud storages to store results of various media related features of the script. This allows you to make sure that you always have sufficent storage space for your customers. Using cloud storage option also minimizes the latency for your user to access their media results as data could be avaiable via CDN framework of the cloud vendors. ## Connect GCP Account To be able to use your GCP Bucket, follow these steps to setup integration. Go to the [Google Cloud Platform](https://cloud.google.com/) page, and get yourself registered in case if you don't have an account already. Once you are logged into your GCP account, click on the **New Project** button on the top left corner, and provide **project name** as you prefer.

Next, search for **storage** keyword and select **Cloud Storage** from the list.

Within the **Storage** service click on **Create Bucket**

Specify bucket name as needed and click **Create Bucket**. Provide unique bucket name. (it must be globally unique, hence you might want to add random digits/letters if needed)

For the next step select Region

For the next step select Standard, or if you are familar with GCP storage types you can select alternate options as well as needed

Set versioning and encryption as needed or leave it with default values.

Select Fine Grained for access control.

Now when your bucket is successfully created you need to provide access to that. For that we need to create a Role. Go to IAM & Admin and select Roles

Click on Create Role

Provide a Role Title to be able to identify it later.

Click on Add Permissions.

Search by keyword storage and select storage.bucket.list.

Also select following object level permissions as well as shown in the image.

Final result should look like in the image and click Create.

Now you need to create Create Service Credentials. Go to API & Credentials and click on Create Credentials

Click on + Create Credentials and select Service account from the list.

1 - Provide Service account name and Service account description (optional).

2 - Click on Select a Role and find your role that you created previously to access GCP Storage Bucket.

3 - You can leave this step with defaults unless you want to add addtional user(s) and click Done.

Select your newly created Service Account, under Actions tab select Manage Keys.

Under Keys tab, select Add Key -> Create new key.

Select JSON as key type. Click Create, it will store in on your desktop.

Now, Login to Davinci AI using your admin credentials. In **Admin Panel**, navigate to **AI Settings** -> **AI API Keys** tab. Click on **Google** tab there.

Include the path for the json file and your GCP bucket name. JSON file must be stored outside of your Public folder. Show full path for the JSON file including JSON filename based on your hosting file structure. Here is an example for cPanel: '/home/username/public\_html/gcpjsonfilename.json'. Click save button afterwards.

Congratulations! You have successfully comleted the Google Cloud Bucket setup process. ## Davinci AI Tools which supports storing results in GCP Bucket Following AI tools can be store results in Google Cloud Storage Support for more AI tools will be added soon, we are actively working on that 1. **AI Voiceover** 2. **AI Images** 3. **AI Speech to Text** Via AI Settings page in Admin Panel, you can set default cloud storage vendor for each of the supported AI tools individually