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

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Unbounce

Authenticate Unbounce
Now, click the Unbounce node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Unbounce settings. Authentication allows you to use Unbounce through Latenode.
Configure the Google Cloud Speech-To-Text and Unbounce 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 Unbounce 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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Unbounce
Trigger on Webhook
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Save and Activate the Scenario
After configuring Google Cloud Speech-To-Text, Unbounce, 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 Unbounce integration works as expected. Depending on your setup, data should flow between Google Cloud Speech-To-Text and Unbounce (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 Unbounce
Unbounce + Google Cloud Speech-To-Text + Slack: When a new form submission with audio is received in Unbounce, the audio is sent to Google Cloud Speech-To-Text for transcription. The resulting transcript is then sent to a designated Slack channel for review by the marketing team.
Unbounce + Google Cloud Speech-To-Text + Airtable: When a new form submission containing voice feedback is received in Unbounce, the audio file is sent to Google Cloud Speech-To-Text to generate a transcript. This transcript, along with the original form data, is then stored in an Airtable base for organized analysis.
Google Cloud Speech-To-Text and Unbounce 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 Unbounce
Use Unbounce in Latenode to automate post-conversion actions. Trigger workflows on new leads to segment, enrich, and route data to your CRM. Connect Unbounce landing pages to other apps, add custom logic, and scale automation without code or per-step fees. Build streamlined processes for better lead management.
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FAQ Google Cloud Speech-To-Text and Unbounce
How can I connect my Google Cloud Speech-To-Text account to Unbounce using Latenode?
To connect your Google Cloud Speech-To-Text account to Unbounce 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 Unbounce accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I transcribe call audio and update Unbounce forms?
Yes, you can! Latenode allows you to automate this process, ensuring lead data from call transcripts is automatically added to your Unbounce forms, saving time and improving data accuracy.
What types of tasks can I perform by integrating Google Cloud Speech-To-Text with Unbounce?
Integrating Google Cloud Speech-To-Text with Unbounce allows you to perform various tasks, including:
- Transcribing voice data to personalize Unbounce landing page content.
- Analyzing call recordings for lead qualification to tag Unbounce submissions.
- Automatically updating Unbounce forms with transcribed call information.
- Creating personalized follow-up messages based on speech-to-text analysis.
- Generating reports on customer sentiment from calls to optimize campaigns.
What Google Cloud Speech-To-Text features can I use in Latenode?
Latenode supports various Speech-To-Text features, including transcription, diarization, and language detection for enhanced automation.
Are there any limitations to the Google Cloud Speech-To-Text and Unbounce integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large audio file transcriptions may require significant processing time.
- The accuracy of transcriptions depends on audio quality and language clarity.
- Unbounce API limits may affect the frequency of data updates.