How to connect Google Cloud Speech-To-Text and Delighted
Create a New Scenario to Connect Google Cloud Speech-To-Text and Delighted
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 Delighted will be your first step. To do this, click "Choose an app," find Google Cloud Speech-To-Text or Delighted, 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 Delighted Node
Next, click the plus (+) icon on the Google Cloud Speech-To-Text node, select Delighted from the list of available apps, and choose the action you need from the list of nodes within Delighted.

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Delighted
Authenticate Delighted
Now, click the Delighted node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Delighted settings. Authentication allows you to use Delighted through Latenode.
Configure the Google Cloud Speech-To-Text and Delighted 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 Delighted 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, Delighted, 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 Delighted integration works as expected. Depending on your setup, data should flow between Google Cloud Speech-To-Text and Delighted (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 Delighted
Google Cloud Speech-To-Text + Delighted + Slack: Transcribe audio from customer service calls using Google Cloud Speech-To-Text. When a new response is received in Delighted, the sentiment of the transcribed audio is analyzed. If the sentiment is negative, a message is sent to a designated Slack channel to alert managers.
Delighted + Google Cloud Speech-To-Text + Zendesk: When a new response is received in Delighted, and the survey rating indicates a poor experience, this flow transcribes audio related to the corresponding Zendesk support ticket using Google Cloud Speech-To-Text. Then, it adds the transcribed audio as a comment to the Zendesk ticket to identify common issues and improve support.
Google Cloud Speech-To-Text and Delighted 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 Delighted
Automate feedback loops with Delighted in Latenode. Send surveys post-interaction and instantly act on results. Route scores to your team's Slack, update records in your CRM, or trigger follow-ups based on sentiment. Build adaptable workflows with no-code tools, custom logic, and AI — all without per-step costs.
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FAQ Google Cloud Speech-To-Text and Delighted
How can I connect my Google Cloud Speech-To-Text account to Delighted using Latenode?
To connect your Google Cloud Speech-To-Text account to Delighted 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 Delighted accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I analyze survey responses using voice data?
Yes, you can! Latenode’s visual editor and AI blocks allow you to automatically transcribe speech from feedback audio, analyze sentiment, and then trigger personalized follow-ups in Delighted.
What types of tasks can I perform by integrating Google Cloud Speech-To-Text with Delighted?
Integrating Google Cloud Speech-To-Text with Delighted allows you to perform various tasks, including:
- Transcribing voice feedback into text for sentiment analysis.
- Automatically creating Delighted surveys from analyzed audio input.
- Updating customer profiles in Delighted with insights from voice data.
- Triggering personalized Delighted surveys based on speech patterns.
- Forwarding transcribed feedback to support channels for faster response.
Can I use custom models with Google Cloud Speech-To-Text in Latenode?
Yes, Latenode supports custom models. Leverage advanced JavaScript blocks to connect and process your custom models seamlessly within your workflow.
Are there any limitations to the Google Cloud Speech-To-Text and Delighted integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large audio files may require significant processing time.
- Integration complexity increases with advanced custom speech models.
- Delighted’s API rate limits can affect the frequency of survey triggers.