Google Cloud Speech-To-Text and Typeform Integration

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Transcribe audio responses from Typeform surveys into text using Google Cloud Speech-To-Text. Latenode’s visual editor makes complex audio analysis workflows simple, while affordable pricing scales with your needs.

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Google Cloud Speech-To-Text

Typeform

Step 1: Choose a Trigger

Step 2: Choose an Action

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

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

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

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

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Authenticate Typeform

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

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

Typeform + Google Cloud Speech-To-Text + Slack: When a new submission is received in Typeform, if it contains an audio file, it's sent to Google Cloud Speech-To-Text for transcription. The transcribed text is then sent as a direct message to a specified user in Slack.

Typeform + Google Cloud Speech-To-Text + Google Sheets: Upon receiving a new submission in Typeform, the audio response is transcribed using Google Cloud Speech-To-Text. The transcript is then added as a new row to a Google Sheet.

Google Cloud Speech-To-Text and Typeform 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 Typeform

Capture leads and feedback with Typeform, then instantly pipe that data into Latenode for automated processing. Update databases, trigger email sequences, or send notifications. Use Latenode's visual builder to create custom workflows triggered by Typeform submissions. Extend with AI, JavaScript, and more.

See how Latenode works

FAQ Google Cloud Speech-To-Text and Typeform

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

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

Can I transcribe audio from Typeform uploads?

Yes, you can! Latenode allows you to automatically transcribe audio files submitted via Typeform using Google Cloud Speech-To-Text, creating structured data for analysis and follow-up. Leverage AI prompts to summarize.

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

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

  • Automatically transcribing customer feedback from voice surveys.
  • Creating searchable transcripts of interviews collected via Typeform.
  • Analyzing sentiment in voice responses for improved insights.
  • Storing transcriptions in a database for later use and analysis.
  • Triggering follow-up actions based on keywords detected in transcriptions.

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

Latenode provides a secure environment. Data is encrypted in transit and at rest. You control access to your workflows and data.

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

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

  • Large audio files may require more processing time.
  • Transcription accuracy depends on audio quality.
  • Real-time transcription isn't supported; file uploads are required.

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