Google Cloud Speech-To-Text and Supabase Integration

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Transcribe audio to text using Google Cloud Speech-To-Text, then store it securely in Supabase. Latenode’s visual editor makes it easy, and affordable pricing lets you scale transcriptions using your own AI keys.

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Google Cloud Speech-To-Text

Supabase

Step 1: Choose a Trigger

Step 2: Choose an Action

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

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

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

Add the Supabase Node

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

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Authenticate Supabase

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

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

Google Cloud Speech-To-Text + Supabase + Slack: Transcribes audio from Google Cloud Storage, stores the transcription in a Supabase table, and sends a summary of the transcript to a designated Slack channel.

Supabase + Google Cloud Speech-To-Text + Google Docs: When a new row containing a link to an audio file is added to a Supabase table, the audio is transcribed using Google Cloud Speech-To-Text, and the transcript is then appended to a Google Docs document.

Google Cloud Speech-To-Text and Supabase 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 Supabase

Use Supabase in Latenode to automate backend tasks: store user data, manage authentication, and trigger functions based on database changes. Integrate Supabase with other services in a visual workflow. Latenode provides flexibility with no-code tools, JS scripts, and direct database connections for advanced automation scenarios.

See how Latenode works

FAQ Google Cloud Speech-To-Text and Supabase

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

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

Can I transcribe audio files and store them in a database?

Yes, you can! Latenode simplifies this process by automatically triggering Supabase updates after audio transcription in Google Cloud Speech-To-Text, creating a fully automated data pipeline.

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

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

  • Automatically transcribing customer service calls and saving transcripts.
  • Creating searchable databases of spoken content from audio files.
  • Analyzing voice data for sentiment and storing the results in Supabase.
  • Building voice-activated applications with data stored in Supabase.
  • Generating summaries of audio meetings and logging them for future use.

How secure is the Google Cloud Speech-To-Text integration on Latenode?

Latenode uses secure authentication and encryption to protect your data when integrating Google Cloud Speech-To-Text, ensuring sensitive information stays safe.

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

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

  • Large audio files may take longer to process depending on Google Cloud Speech-To-Text's processing capacity.
  • Supabase storage limits apply based on your Supabase subscription plan.
  • Complex workflow logic may require JavaScript coding for advanced customization.

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