How to connect Google Cloud Storage and Bland AI
Create a New Scenario to Connect Google Cloud Storage and Bland AI
In the workspace, click the “Create New Scenario” button.

Add the First Step
Add the first node – a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Google Cloud Storage, triggered by another scenario, or executed manually (for testing purposes). In most cases, Google Cloud Storage or Bland AI will be your first step. To do this, click "Choose an app," find Google Cloud Storage or Bland AI, and select the appropriate trigger to start the scenario.

Add the Google Cloud Storage Node
Select the Google Cloud Storage node from the app selection panel on the right.


Google Cloud Storage

Configure the Google Cloud Storage
Click on the Google Cloud Storage node to configure it. You can modify the Google Cloud Storage URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Bland AI Node
Next, click the plus (+) icon on the Google Cloud Storage node, select Bland AI from the list of available apps, and choose the action you need from the list of nodes within Bland AI.


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Authenticate Bland AI
Now, click the Bland AI node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Bland AI settings. Authentication allows you to use Bland AI through Latenode.
Configure the Google Cloud Storage and Bland AI Nodes
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Set Up the Google Cloud Storage and Bland AI Integration
Use various Latenode nodes to transform data and enhance your integration:
- Branching: Create multiple branches within the scenario to handle complex logic.
- Merging: Combine different node branches into one, passing data through it.
- Plug n Play Nodes: Use nodes that don’t require account credentials.
- Ask AI: Use the GPT-powered option to add AI capabilities to any node.
- Wait: Set waiting times, either for intervals or until specific dates.
- Sub-scenarios (Nodules): Create sub-scenarios that are encapsulated in a single node.
- Iteration: Process arrays of data when needed.
- Code: Write custom code or ask our AI assistant to do it for you.

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AI Anthropic Claude 3
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Trigger on Webhook
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Save and Activate the Scenario
After configuring Google Cloud Storage, Bland AI, and any additional nodes, don’t forget to save the scenario and click "Deploy." Activating the scenario ensures it will run automatically whenever the trigger node receives input or a condition is met. By default, all newly created scenarios are deactivated.
Test the Scenario
Run the scenario by clicking “Run once” and triggering an event to check if the Google Cloud Storage and Bland AI integration works as expected. Depending on your setup, data should flow between Google Cloud Storage and Bland AI (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Google Cloud Storage and Bland AI
Google Cloud Storage + Bland AI + Slack: When a new audio file is uploaded to Google Cloud Storage, it triggers Bland AI to analyze the call. The summarized insights from Bland AI are then sent to a specified Slack channel.
Google Cloud Storage + Bland AI + Google Sheets: When a new audio file is uploaded to Google Cloud Storage, it's transcribed by Bland AI. The resulting transcript is then added as a new row to a Google Sheet for further analysis and record-keeping.
Google Cloud Storage and Bland AI integration alternatives

About Google Cloud Storage
Use Google Cloud Storage in Latenode for automated file management. Upload, download, and manage files in your workflows. Automate backups, data archiving, or image processing. Connect GCS to other apps for seamless data transfer and triggering events. Latenode's visual editor simplifies complex file-based automations.
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About Bland AI
Use Bland AI in Latenode to automate content creation or rewrite existing text. Streamline your marketing or support workflows by generating tailored responses. Integrate it directly into your Latenode scenarios and use visual tools to manage prompts, route results, and scale AI tasks without complex coding.
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See how Latenode works
FAQ Google Cloud Storage and Bland AI
How can I connect my Google Cloud Storage account to Bland AI using Latenode?
To connect your Google Cloud Storage account to Bland AI on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google Cloud Storage and click on "Connect".
- Authenticate your Google Cloud Storage and Bland AI accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I analyze call recordings stored on Google Cloud Storage with Bland AI?
Yes, you can. Latenode simplifies data transfer and processing, letting you trigger Bland AI analysis upon new file uploads to Google Cloud Storage automatically. This enhances workflow efficiency.
What types of tasks can I perform by integrating Google Cloud Storage with Bland AI?
Integrating Google Cloud Storage with Bland AI allows you to perform various tasks, including:
- Transcribing audio files stored in Google Cloud Storage using Bland AI.
- Analyzing call sentiment from recordings stored in Google Cloud Storage.
- Automatically routing call transcripts based on keywords identified by Bland AI.
- Generating summaries of customer interactions stored as audio files.
- Creating alerts for specific phrases detected in call recordings.
Is it possible to trigger Bland AI using specific files in Google Cloud Storage?
Yes, Latenode allows triggering Bland AI based on file events in Google Cloud Storage. Customize triggers using file name patterns and other conditions.
Are there any limitations to the Google Cloud Storage and Bland AI integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large audio files may take longer to process due to API constraints.
- Real-time analysis isn't supported; processing is batch-oriented.
- Bland AI's language support may affect transcription accuracy.