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

Add the Google Cloud Speech-To-Text Node
Select the Google Cloud Speech-To-Text node from the app selection panel on the right.

Google Cloud Speech-To-Text
Configure the Google Cloud Speech-To-Text
Click on the Google Cloud Speech-To-Text node to configure it. You can modify the Google Cloud Speech-To-Text URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Microsoft Excel Node
Next, click the plus (+) icon on the Google Cloud Speech-To-Text 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.
Configure the Google Cloud Speech-To-Text 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.
Set Up the Google Cloud Speech-To-Text 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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Trigger on Webhook
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Save and Activate the Scenario
After configuring Google Cloud Speech-To-Text, 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 Google Cloud Speech-To-Text and Microsoft Excel integration works as expected. Depending on your setup, data should flow between Google Cloud Speech-To-Text 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 Google Cloud Speech-To-Text and Microsoft Excel
Gmail + Google Cloud Speech-To-Text + Microsoft Excel: When a new email with an attachment arrives in Gmail, the attachment is processed by Google Cloud Speech-To-Text to transcribe the audio. The transcribed text, along with other email metadata, is then added as a new row in a Microsoft Excel sheet.
Microsoft Excel + Google Cloud Speech-To-Text + Slack: When a new row is added to a Microsoft Excel table containing interview recordings, Google Cloud Speech-To-Text transcribes the interview. Then, a summary of the transcription is sent to a designated Slack channel.
Google Cloud Speech-To-Text and Microsoft Excel integration alternatives
About Google Cloud Speech-To-Text
Automate audio transcription using Google Cloud Speech-To-Text within Latenode. Convert audio files to text and use the results to populate databases, trigger alerts, or analyze customer feedback. Latenode provides visual tools to manage the flow, plus code options for custom parsing or filtering. Scale voice workflows without complex coding.
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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 Google Cloud Speech-To-Text and Microsoft Excel
How can I connect my Google Cloud Speech-To-Text account to Microsoft Excel using Latenode?
To connect your Google Cloud Speech-To-Text account to Microsoft Excel on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google Cloud Speech-To-Text and click on "Connect".
- Authenticate your Google Cloud Speech-To-Text and Microsoft Excel accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically log transcribed audio data into Excel?
Yes, you can. Latenode enables automated workflows, instantly adding transcribed audio from Google Cloud Speech-To-Text to your Excel sheets. Analyze data and generate reports effortlessly.
What types of tasks can I perform by integrating Google Cloud Speech-To-Text with Microsoft Excel?
Integrating Google Cloud Speech-To-Text with Microsoft Excel allows you to perform various tasks, including:
- Transcribing audio files and storing the text in Excel for analysis.
- Creating searchable archives of call center conversations in Excel.
- Generating reports from transcribed meeting minutes directly within Excel.
- Automating data entry from voice recordings into Excel spreadsheets.
- Building a database of spoken feedback, categorized and stored in Excel.
Can I process large audio files using Google Cloud Speech-To-Text in Latenode?
Yes, Latenode supports efficient processing of large audio files through Google Cloud Speech-To-Text, with scalable workflows and robust error handling.
Are there any limitations to the Google Cloud Speech-To-Text and Microsoft Excel integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- The accuracy of speech-to-text transcription depends on the audio quality.
- Excel has row and column limits that may affect large datasets.
- Network connectivity issues can interrupt the workflow execution.