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

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Authenticate HighLevel
Now, click the HighLevel node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your HighLevel settings. Authentication allows you to use HighLevel through Latenode.
Configure the Google Cloud Speech-To-Text and HighLevel 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 HighLevel 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, HighLevel, 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 HighLevel integration works as expected. Depending on your setup, data should flow between Google Cloud Speech-To-Text and HighLevel (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 HighLevel
Twilio + Google Cloud Speech-To-Text + HighLevel: When a new recording is available in Twilio, transcribe the voicemail using Google Cloud Speech-To-Text, and then add the transcription as a note to the corresponding contact in HighLevel.
HighLevel + Google Cloud Speech-To-Text + AI Agent: When a message is received in HighLevel, transcribe the customer call with Google Cloud Speech-To-Text, then summarize the feedback using an AI Agent and store the result as a note in HighLevel.
Google Cloud Speech-To-Text and HighLevel 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 HighLevel
Use HighLevel with Latenode to automate marketing and sales tasks. Sync leads, trigger follow-ups, and manage campaigns within visual workflows. Connect HighLevel to other apps, enrich data with AI, and scale operations without complex coding. Latenode offers flexible automation at a predictable cost.
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See how Latenode works
FAQ Google Cloud Speech-To-Text and HighLevel
How can I connect my Google Cloud Speech-To-Text account to HighLevel using Latenode?
To connect your Google Cloud Speech-To-Text account to HighLevel 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 HighLevel accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I transcribe voicemails to HighLevel notes?
Yes, you can! Latenode lets you build custom workflows to automatically transcribe voicemails using Google Cloud Speech-To-Text and then add the transcription as a note in HighLevel, saving time.
What types of tasks can I perform by integrating Google Cloud Speech-To-Text with HighLevel?
Integrating Google Cloud Speech-To-Text with HighLevel allows you to perform various tasks, including:
- Automatically transcribe call recordings and store them as HighLevel notes.
- Analyze customer feedback from voice recordings using sentiment analysis AI.
- Create automated workflows to trigger actions based on spoken keywords.
- Update HighLevel contacts with information extracted from voice data.
- Build a voice-controlled interface to manage HighLevel tasks.
How secure is Google Cloud Speech-To-Text data within Latenode workflows?
Latenode ensures data security through encryption and secure connections. You retain control over data processing and storage within your workflows.
Are there any limitations to the Google Cloud Speech-To-Text and HighLevel integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large audio files might exceed Google Cloud Speech-To-Text processing limits.
- Real-time transcription accuracy depends on audio quality and language nuances.
- HighLevel API rate limits may impact the speed of data transfer.