Deepgram and Microsoft Excel Integration

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Transcribe audio with Deepgram, then analyze and report the data in Microsoft Excel. Latenode's visual editor makes this complex task simple and automatable, and its affordability makes it scalable.

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Deepgram

Microsoft Excel

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Deepgram and Microsoft Excel

Create a New Scenario to Connect Deepgram and Microsoft Excel

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

Add the Deepgram Node

Select the Deepgram node from the app selection panel on the right.

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Configure the Deepgram

Click on the Deepgram node to configure it. You can modify the Deepgram URL and choose between DEV and PROD versions. You can also copy it for use in further automations.

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Run node once

Add the Microsoft Excel Node

Next, click the plus (+) icon on the Deepgram node, select Microsoft Excel from the list of available apps, and choose the action you need from the list of nodes within Microsoft Excel.

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Authenticate Microsoft Excel

Now, click the Microsoft Excel node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Microsoft Excel settings. Authentication allows you to use Microsoft Excel through Latenode.

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Sign In

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Configure the Deepgram and Microsoft Excel Nodes

Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.

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Run node once

Set Up the Deepgram and Microsoft Excel 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 Deepgram, Microsoft Excel, 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 Deepgram and Microsoft Excel integration works as expected. Depending on your setup, data should flow between Deepgram and Microsoft Excel (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.

Most powerful ways to connect Deepgram and Microsoft Excel

Deepgram + Microsoft Excel + Slack: Transcribes a prerecorded audio file from a URL using Deepgram, then adds a row to a Microsoft Excel table with the transcription. Finally, sends a Slack message to a specified channel alerting users of the transcription and linking to the Excel entry.

Deepgram + Google Docs + Microsoft Excel: Uses Deepgram to transcribe a prerecorded audio file. Creates a new Google Docs document with the transcription and adds a new row in Microsoft Excel with the document link.

Deepgram and Microsoft Excel integration alternatives

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.

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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FAQ Deepgram and Microsoft Excel

How can I connect my Deepgram account to Microsoft Excel using Latenode?

To connect your Deepgram account to Microsoft Excel on Latenode, follow these steps:

  • Sign in to your Latenode account.
  • Navigate to the integrations section.
  • Select Deepgram and click on "Connect".
  • Authenticate your Deepgram and Microsoft Excel accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I analyze call center recordings stored in Excel using Deepgram?

Yes, easily! Latenode's visual editor simplifies connecting Deepgram's speech-to-text with Excel, enabling automated transcription and analysis of audio data directly from your spreadsheets.

What types of tasks can I perform by integrating Deepgram with Microsoft Excel?

Integrating Deepgram with Microsoft Excel allows you to perform various tasks, including:

  • Automatically transcribing audio files and saving the text to Excel.
  • Analyzing sentiment from transcribed audio and logging results in Excel.
  • Creating summaries of audio content and storing them in Excel.
  • Extracting keywords from transcriptions for data analysis in Excel.
  • Populating Excel spreadsheets with data derived from audio analysis.

How does Latenode handle large Deepgram transcription files?

Latenode efficiently manages large files via streaming and asynchronous processing, ensuring seamless Deepgram transcriptions without performance bottlenecks, even at scale.

Are there any limitations to the Deepgram and Microsoft Excel integration on Latenode?

While the integration is powerful, there are certain limitations to be aware of:

  • Large Excel files can impact workflow speed.
  • Complex Deepgram features may require custom JavaScript code.
  • Real-time transcription directly into Excel isn't supported.

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