Google Cloud Speech-To-Text and Cloze Integration

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Automatically transcribe calls with Google Cloud Speech-To-Text, then log insights in Cloze. Latenode’s visual editor and affordable pricing make complex call analysis workflows accessible. Scale insights using custom JavaScript logic.

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Google Cloud Speech-To-Text

Cloze

Step 1: Choose a Trigger

Step 2: Choose an Action

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

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

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

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

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Authenticate Cloze

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

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

Google Cloud Speech-To-Text + Cloze + Google Docs: Transcribe voice notes using Google Cloud Speech-To-Text, create a summary, add it as a note to the contact in Cloze, and save the full transcription to a Google Doc for backup.

Google Cloud Speech-To-Text + Cloze + Slack: Call recordings are transcribed using Google Cloud Speech-To-Text. Key points are extracted (no direct action available for summarization, so it's implied manual processing of the transcription) and posted to a Slack channel for sales team awareness, alongside contact information fetched from Cloze.

Google Cloud Speech-To-Text and Cloze 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 Cloze

Use Cloze in Latenode to automate your CRM and sales processes. Automatically update records, trigger follow-ups, and generate reports based on real-time data. Integrate Cloze with other apps like email, calendars, and databases using Latenode's visual editor. Customize flows with JavaScript or AI for advanced lead qualification and faster deal closing.

See how Latenode works

FAQ Google Cloud Speech-To-Text and Cloze

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

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

Can I automatically log call transcriptions into Cloze?

Yes, you can! Latenode automates this, parsing Google Cloud Speech-To-Text output and creating detailed Cloze activity logs, ensuring complete client interaction history.

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

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

  • Automatically transcribe sales calls and log them in Cloze.
  • Create new Cloze contacts from transcribed meeting notes.
  • Update deal stages in Cloze based on keywords spoken in calls.
  • Analyze call sentiment and flag urgent issues in Cloze.
  • Generate follow-up tasks in Cloze based on call action items.

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

Latenode efficiently processes large files using its scalable infrastructure, ensuring reliable Google Cloud Speech-To-Text transcription and Cloze updates.

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

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

  • Google Cloud Speech-To-Text transcription accuracy depends on audio quality.
  • Cloze API rate limits may affect the speed of data transfer.
  • Complex workflow logic may require JavaScript knowledge.

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