Quickstart: Deploy Azure AI Video Indexer by using an ARM template

Note

Face identification, customization and celebrity recognition features access is limited based on eligibility and usage criteria in order to support our Responsible AI principles. Face identification, customization and celebrity recognition features are only available to Microsoft managed customers and partners. Use the Face Recognition intake form to apply for access.

Using this quickstart, you can create an Azure AI Video Indexer account by using an Azure Resource Manager template.

A Azure Resource Manager template is a JavaScript Object Notation (JSON) file that defines the infrastructure and configuration using declarative syntax. You describe your intended deployment without writing the sequence of programming commands to create the deployment.

Once the account is created, you can use the Video Indexer API to interact with the account, upload videos, and get AI Insights. To get started, see Use Azure AI Video Indexer REST API.

Deploy the sample

You have two deployment options:

Deploy button

Select the button for deploying to Azure, and fill in the missing parameters.

Deploy with CLI

Use the Bash environment in Azure Cloud Shell. For more information, see Quickstart for Bash in Azure Cloud Shell.

If you prefer to run CLI reference commands locally, install the Azure CLI. If you're running on Windows or macOS, consider running Azure CLI in a Docker container. For more information, see How to run the Azure CLI in a Docker container.

If you're using a local installation, sign in to the Azure CLI by using the az login command. To finish the authentication process, follow the steps displayed in your terminal. For other sign-in options, see Sign in with the Azure CLI.

Run az version to find the version and dependent libraries that are installed. To upgrade to the latest version, run az upgrade.

1. Open the template file and inspect its contents.

2. Open the parameter file and fill in the required parameters (see parameters).

3. Run the following command:

   az group create -n myResourceGroup -l eastus

4. Create a new resource group in the same location as your Azure AI Video Indexer account using the az group create command:

   az deployment group create --resource-group myResourceGroup --template-file .\videoindexer.template.json --parameters=.\videoindexer.parameters.json

If you're new to template deployment, see:

• Azure Resource Manager documentation
• Deploy resources with ARM templates
• Deploy resources with Bicep and the Azure CLI