How to connect Google Cloud Speech-To-Text and Moosend
Create a New Scenario to Connect Google Cloud Speech-To-Text and Moosend
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 Moosend will be your first step. To do this, click "Choose an app," find Google Cloud Speech-To-Text or Moosend, 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 Moosend Node
Next, click the plus (+) icon on the Google Cloud Speech-To-Text node, select Moosend from the list of available apps, and choose the action you need from the list of nodes within Moosend.

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Authenticate Moosend
Now, click the Moosend node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Moosend settings. Authentication allows you to use Moosend through Latenode.
Configure the Google Cloud Speech-To-Text and Moosend 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 Moosend 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 Google Cloud Speech-To-Text, Moosend, 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 Moosend integration works as expected. Depending on your setup, data should flow between Google Cloud Speech-To-Text and Moosend (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 Moosend
Google Cloud Speech-To-Text + Moosend + Google Sheets: When a customer service call recording is processed by Google Cloud Speech-To-Text, the transcription is saved. Then, the transcription and a simple sentiment score (to be implemented in the action) are added to a new row in Google Sheets, and a custom field is updated for the corresponding subscriber in Moosend.
Zoom + Google Cloud Speech-To-Text + Moosend: When a Zoom recording is completed, the audio is transcribed using Google Cloud Speech-To-Text. The transcription is then used to update lead information in Moosend by setting a custom field value for a subscriber.
Google Cloud Speech-To-Text and Moosend 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 Moosend
Use Moosend in Latenode to automate email marketing based on real-time data. Trigger campaigns from any app, personalize content with AI, and track results directly in your workflows. Latenode lets you connect Moosend to any data source, adding custom logic and scaling without code.
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See how Latenode works
FAQ Google Cloud Speech-To-Text and Moosend
How can I connect my Google Cloud Speech-To-Text account to Moosend using Latenode?
To connect your Google Cloud Speech-To-Text account to Moosend 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 Moosend accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I transcribe voicemails and add contacts to Moosend?
Yes, you can. Latenode allows you to automate the entire process, using AI for analysis, JavaScript for complex logic and ensuring your marketing lists are always up-to-date.
What types of tasks can I perform by integrating Google Cloud Speech-To-Text with Moosend?
Integrating Google Cloud Speech-To-Text with Moosend allows you to perform various tasks, including:
- Automatically adding webinar attendees to a specific Moosend list.
- Creating email drafts from transcribed customer support calls.
- Updating contact information in Moosend based on voice feedback.
- Sending personalized follow-up emails after a sales call.
- Triggering email campaigns based on keywords spoken in calls.
How does Latenode handle Google Cloud Speech-To-Text API authentication?
Latenode uses secure authentication methods, allowing you to safely connect and manage your Google Cloud Speech-To-Text API credentials within workflows.
Are there any limitations to the Google Cloud Speech-To-Text and Moosend integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- The accuracy of transcriptions depends on the audio quality.
- Moosend limits on email sending may affect large-scale automations.
- Complex workflows may require JavaScript for data transformation.