Google Cloud Speech-To-Text and Mautic Integration

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Automatically transcribe call recordings with Google Cloud Speech-To-Text and add leads to Mautic, all visually. Latenode’s affordability and flexibility make it easier to qualify leads and personalize follow-ups with transcribed data.

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Google Cloud Speech-To-Text

Mautic

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Google Cloud Speech-To-Text and Mautic

Create a New Scenario to Connect Google Cloud Speech-To-Text and Mautic

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 Mautic will be your first step. To do this, click "Choose an app," find Google Cloud Speech-To-Text or Mautic, 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.

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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.

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Add the Mautic Node

Next, click the plus (+) icon on the Google Cloud Speech-To-Text node, select Mautic from the list of available apps, and choose the action you need from the list of nodes within Mautic.

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Authenticate Mautic

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

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Configure the Google Cloud Speech-To-Text and Mautic 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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Set Up the Google Cloud Speech-To-Text and Mautic 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, Mautic, 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 Mautic integration works as expected. Depending on your setup, data should flow between Google Cloud Speech-To-Text and Mautic (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 Mautic

Twilio + Google Cloud Speech-To-Text + Mautic: When a new recording is available in Twilio, its transcription is generated using Google Cloud Speech-To-Text. The transcript and contact details (if available via phone number lookup in Mautic) will be used to create or update a contact in Mautic.

Mautic + Google Cloud Speech-To-Text + Slack: When a new contact is created in Mautic, fetch their call recording, use Google Cloud Speech-To-Text to transcribe the recording, and then post a summary of the transcript to a Slack channel.

Google Cloud Speech-To-Text and Mautic 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.

About Mautic

Automate marketing with Mautic in Latenode. Sync contacts, track campaigns, and trigger actions based on customer behavior. Integrate Mautic with other apps for a 360° view of your customers. Use Latenode's visual editor and code blocks to build custom workflows that adapt to your business needs without complex coding or expensive add-ons.

Google Cloud Speech-To-Text + Mautic integration

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FAQ Google Cloud Speech-To-Text and Mautic

How can I connect my Google Cloud Speech-To-Text account to Mautic using Latenode?

To connect your Google Cloud Speech-To-Text account to Mautic 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 Mautic accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I automatically add transcribed audio to Mautic contacts?

Yes, you can! Latenode lets you automate this easily, ensuring your Mautic contact data is always up-to-date with valuable insights extracted from your audio content, boosting lead qualification.

What types of tasks can I perform by integrating Google Cloud Speech-To-Text with Mautic?

Integrating Google Cloud Speech-To-Text with Mautic allows you to perform various tasks, including:

  • Update contact profiles in Mautic with transcriptions of voice feedback.
  • Trigger Mautic campaigns based on keywords identified in voice data.
  • Create Mautic segments based on sentiment analysis of audio transcriptions.
  • Automate follow-up actions in Mautic based on spoken responses.
  • Enrich Mautic contact data using data from speech analytics.

How does Latenode handle large Google Cloud Speech-To-Text files?

Latenode efficiently processes large files using scalable cloud infrastructure, handling high volumes of data without performance bottlenecks in your Mautic workflows.

Are there any limitations to the Google Cloud Speech-To-Text and Mautic integration on Latenode?

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

  • The accuracy of transcriptions depends on audio quality and language complexity.
  • Rate limits imposed by Google Cloud Speech-To-Text may affect processing speed.
  • Mautic API limits can impact the number of contact updates within a specific timeframe.

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