How to connect Google Cloud Speech-To-Text and Vapi
Create a New Scenario to Connect Google Cloud Speech-To-Text and Vapi
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 Vapi will be your first step. To do this, click "Choose an app," find Google Cloud Speech-To-Text or Vapi, 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.

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

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Authenticate Vapi
Now, click the Vapi node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Vapi settings. Authentication allows you to use Vapi through Latenode.
Configure the Google Cloud Speech-To-Text and Vapi Nodes
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Set Up the Google Cloud Speech-To-Text and Vapi 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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AI Anthropic Claude 3
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Vapi
Trigger on Webhook
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Webhook response

Save and Activate the Scenario
After configuring Google Cloud Speech-To-Text, Vapi, 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 Vapi integration works as expected. Depending on your setup, data should flow between Google Cloud Speech-To-Text and Vapi (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 Vapi
Vapi + Google Cloud Speech-To-Text + Twilio: When a new recording is available in Vapi, use Google Cloud Speech-To-Text to transcribe the audio. Then, send the transcription as a text message via Twilio to the caller.
Vapi + Google Cloud Speech-To-Text + Google Sheets: When a new outbound call is created in Vapi, use Google Cloud Speech-To-Text to transcribe the call. Log the call data and the transcription in a new row in Google Sheets.
Google Cloud Speech-To-Text and Vapi 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.
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About Vapi
Use Vapi in Latenode to validate and standardize address data. Ensure accurate deliveries and prevent errors by cleaning addresses directly within your workflows. Vapi integration inside Latenode makes data cleaning repeatable and scalable without extra coding. Automate address verification as part of lead gen, order processing, or CRM upkeep.
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FAQ Google Cloud Speech-To-Text and Vapi
How can I connect my Google Cloud Speech-To-Text account to Vapi using Latenode?
To connect your Google Cloud Speech-To-Text account to Vapi 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 Vapi accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I transcribe audio and trigger Vapi calls?
Yes, with Latenode, automatically transcribe audio using Google Cloud Speech-To-Text and trigger Vapi calls based on the transcription's content. Leverage Latenode's no-code interface for easy setup.
What types of tasks can I perform by integrating Google Cloud Speech-To-Text with Vapi?
Integrating Google Cloud Speech-To-Text with Vapi allows you to perform various tasks, including:
- Transcribe voicemails and automatically trigger follow-up Vapi calls.
- Analyze customer support call transcripts and initiate feedback requests via Vapi.
- Create automated call campaigns based on speech analysis.
- Record sales call transcriptions, then send call summaries via Vapi SMS.
- Build dynamic IVR systems that react to spoken keywords and dial via Vapi.
Can I use custom models with Google Cloud Speech-To-Text?
Yes! Latenode lets you leverage Google Cloud Speech-To-Text's advanced features and custom models within your Vapi workflows. Scale your speech tasks easily.
Are there any limitations to the Google Cloud Speech-To-Text and Vapi integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- The accuracy of speech-to-text depends on the audio quality and language.
- Vapi call costs are separate and depend on your Vapi subscription.
- Large audio files may require more processing time.