How to connect Delighted and Google Cloud Speech-To-Text
Create a New Scenario to Connect Delighted and Google Cloud Speech-To-Text
In the workspace, click the โCreate New Scenarioโ button.

Add the First Step
Add the first node โ a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Delighted, triggered by another scenario, or executed manually (for testing purposes). In most cases, Delighted or Google Cloud Speech-To-Text will be your first step. To do this, click "Choose an app," find Delighted or Google Cloud Speech-To-Text, and select the appropriate trigger to start the scenario.

Add the Delighted Node
Select the Delighted node from the app selection panel on the right.

Delighted
Configure the Delighted
Click on the Delighted node to configure it. You can modify the Delighted URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Google Cloud Speech-To-Text Node
Next, click the plus (+) icon on the Delighted node, select Google Cloud Speech-To-Text from the list of available apps, and choose the action you need from the list of nodes within Google Cloud Speech-To-Text.

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Authenticate Google Cloud Speech-To-Text
Now, click the Google Cloud Speech-To-Text node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Google Cloud Speech-To-Text settings. Authentication allows you to use Google Cloud Speech-To-Text through Latenode.
Configure the Delighted and Google Cloud Speech-To-Text 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 Delighted and Google Cloud Speech-To-Text 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 donโt 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 Delighted, Google Cloud Speech-To-Text, and any additional nodes, donโt 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 โRun onceโ and triggering an event to check if the Delighted and Google Cloud Speech-To-Text integration works as expected. Depending on your setup, data should flow between Delighted and Google Cloud Speech-To-Text (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Delighted and Google Cloud Speech-To-Text
Delighted + Google Cloud Speech-To-Text + Slack: When a new response is received in Delighted, the audio is transcribed using Google Cloud Speech-To-Text. A summary of the transcription is then sent to a designated Slack channel.
Zendesk + Google Cloud Speech-To-Text + Delighted: When a ticket is updated in Zendesk, extract the audio from the ticket, transcribe the audio using Google Cloud Speech-To-Text, and if the transcription contains positive sentiment, send a survey via Delighted to the ticket requester.
Delighted and Google Cloud Speech-To-Text integration alternatives
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 โ all without per-step costs.
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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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See how Latenode works
FAQ Delighted and Google Cloud Speech-To-Text
How can I connect my Delighted account to Google Cloud Speech-To-Text using Latenode?
To connect your Delighted account to Google Cloud Speech-To-Text on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Delighted and click on "Connect".
- Authenticate your Delighted and Google Cloud Speech-To-Text accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I analyze sentiment of survey responses using voice data?
Yes, you can! Latenode's AI blocks let you analyze Delighted survey responses transcribed by Google Cloud Speech-To-Text, identifying sentiment and trends for faster, smarter insights.
What types of tasks can I perform by integrating Delighted with Google Cloud Speech-To-Text?
Integrating Delighted with Google Cloud Speech-To-Text allows you to perform various tasks, including:
- Transcribing voice feedback from Delighted surveys for analysis.
- Automatically categorizing feedback based on transcribed content.
- Triggering alerts based on negative sentiment in voice feedback.
- Aggregating transcribed feedback into reports with sentiment scores.
- Feeding transcribed insights into a customer support knowledge base.
How secure is my Delighted data when using Latenode integrations?
Latenode uses secure authentication protocols and encryption to protect your Delighted data during integration and workflow execution.
Are there any limitations to the Delighted and Google Cloud Speech-To-Text integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Google Cloud Speech-To-Text usage is subject to its own rate limits.
- Transcription accuracy depends on audio quality and language nuances.
- Large volumes of transcription may incur significant Google Cloud costs.