How to connect Microsoft Excel and Deepgram
Create a New Scenario to Connect Microsoft Excel and Deepgram
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 Microsoft Excel, triggered by another scenario, or executed manually (for testing purposes). In most cases, Microsoft Excel or Deepgram will be your first step. To do this, click "Choose an app," find Microsoft Excel or Deepgram, and select the appropriate trigger to start the scenario.

Add the Microsoft Excel Node
Select the Microsoft Excel node from the app selection panel on the right.


Microsoft Excel

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


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Authenticate Deepgram
Now, click the Deepgram node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Deepgram settings. Authentication allows you to use Deepgram through Latenode.
Configure the Microsoft Excel and Deepgram 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 Microsoft Excel and Deepgram 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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Save and Activate the Scenario
After configuring Microsoft Excel, Deepgram, 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 Microsoft Excel and Deepgram integration works as expected. Depending on your setup, data should flow between Microsoft Excel and Deepgram (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Microsoft Excel and Deepgram
Deepgram + Microsoft Excel + Slack: This automation transcribes call recordings from a URL using Deepgram, then adds the transcript to a new row in a Microsoft Excel worksheet. Finally, a summary of the call is posted to a designated Slack channel for team review.
Deepgram + Microsoft Excel + Google Sheets: This workflow transcribes call center audio using Deepgram, then adds the transcript to a new row in a Microsoft Excel worksheet. After that, a summary of the call is added to a customer data spreadsheet in Google Sheets.
Microsoft Excel and Deepgram integration alternatives

About Microsoft Excel
Automate Excel tasks within Latenode workflows. Read, update, or create spreadsheets directly. Use Excel data to trigger actions in other apps, generate reports, or update databases. No manual data entry; improve accuracy and save time by connecting Excel to other systems via Latenode's visual interface.
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About Deepgram
Need to transcribe audio/video inside your Latenode automations? Deepgram offers fast, accurate speech-to-text. Connect it to your workflows for automated meeting summaries, content analysis, or customer support monitoring. Fine-tune results with custom vocabularies, all within Latenode's visual interface and code blocks.
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FAQ Microsoft Excel and Deepgram
How can I connect my Microsoft Excel account to Deepgram using Latenode?
To connect your Microsoft Excel account to Deepgram on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Microsoft Excel and click on "Connect".
- Authenticate your Microsoft Excel and Deepgram accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically transcribe call recordings stored in Excel?
Yes, you can! Latenode automates this by triggering Deepgram transcriptions whenever a new recording link appears in your Excel sheet, saving you time and improving analysis.
What types of tasks can I perform by integrating Microsoft Excel with Deepgram?
Integrating Microsoft Excel with Deepgram allows you to perform various tasks, including:
- Analyze customer feedback from transcribed audio and store insights in Excel.
- Automatically update an Excel sheet with meeting transcriptions for easy access.
- Create searchable archives of audio data with corresponding Excel metadata.
- Monitor brand mentions in podcasts and record sentiment data in Excel.
- Generate reports on call center performance using transcribed audio from Deepgram.
How secure is my Microsoft Excel data when using Latenode integrations?
Latenode employs advanced encryption and security protocols to ensure your Microsoft Excel data is protected during all integration processes.
Are there any limitations to the Microsoft Excel and Deepgram integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large Excel files might experience processing delays depending on system resources.
- Real-time transcription directly into Excel is not supported; data is updated after transcription.
- Deepgram transcription accuracy depends on audio quality and may require manual review.