Google Cloud Speech-To-Text and Basin Integration

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Automatically transcribe audio from Google Cloud Speech-To-Text and send it to Basin for lead capture. Latenode's visual editor makes complex transcription workflows simple, while pay-by-execution pricing keeps costs low as you scale your automation.

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Google Cloud Speech-To-Text

Basin

Step 1: Choose a Trigger

Step 2: Choose an Action

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

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

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

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

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Authenticate Basin

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

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

Basin + Google Cloud Speech-To-Text + Slack: When a new submission is received in Basin containing an audio file, Google Cloud Speech-To-Text transcribes the audio. The transcribed text is then sent to a dedicated Slack channel.

Basin + Google Cloud Speech-To-Text + Email: When a new submission with audio is received in Basin, Google Cloud Speech-To-Text transcribes the audio. The resulting text is then sent via email to a predefined team for review.

Google Cloud Speech-To-Text and Basin 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 Basin

Use Basin inside Latenode to capture form submissions without server-side code. Connect form data to any app via REST API or Webhooks, triggering automated workflows. Validate, transform, and route data with Latenode's visual editor, enhancing lead management and data collection, and avoiding back-end setup.

See how Latenode works

FAQ Google Cloud Speech-To-Text and Basin

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

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

Can I transcribe audio and store results in Basin automatically?

Yes, you can! Latenode's visual editor makes it simple to send audio to Google Cloud Speech-To-Text, then automatically save the transcription to Basin, streamlining your data collection.

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

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

  • Automatically transcribe customer feedback and store it in Basin.
  • Process voice surveys and log the responses into Basin.
  • Transcribe meeting recordings and save the transcripts to Basin.
  • Analyze audio files and save identified keywords to Basin.
  • Create searchable archives of spoken content within Basin forms.

How does Latenode handle large audio files with Speech-To-Text?

Latenode supports asynchronous processing for large files, ensuring efficient transcription without workflow interruption, even at scale.

Are there any limitations to the Google Cloud Speech-To-Text and Basin 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 clarity.
  • Basin's storage limits may affect the number of transcriptions you can store.
  • Google Cloud Speech-To-Text usage is subject to Google's pricing and limitations.

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