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

Google Cloud Speech-To-Text
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NetHunt

Authenticate NetHunt
Now, click the NetHunt node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your NetHunt settings. Authentication allows you to use NetHunt through Latenode.
Configure the Google Cloud Speech-To-Text and NetHunt 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 NetHunt 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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NetHunt
Trigger on Webhook
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Google Cloud Speech-To-Text
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Webhook response

Save and Activate the Scenario
After configuring Google Cloud Speech-To-Text, NetHunt, 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 NetHunt integration works as expected. Depending on your setup, data should flow between Google Cloud Speech-To-Text and NetHunt (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 NetHunt
Google Cloud Speech-To-Text + NetHunt + Slack: When a call recording is available in Google Cloud Storage, use Google Cloud Speech-To-Text to transcribe it. Then, create a comment in NetHunt with the transcription and post a summary of the call to a designated Slack channel.
NetHunt + Google Cloud Speech-To-Text + Google Docs: When a new call log is created in NetHunt, transcribe the call using Google Cloud Speech-To-Text. Then, create a Google Docs document summarizing the call transcription and link the document to the NetHunt call log.
Google Cloud Speech-To-Text and NetHunt 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 NetHunt
Sync NetHunt CRM with Latenode to automate sales processes. Update deals, create tasks, or send personalized emails based on triggers. Latenode’s visual editor and flexible tools mean no-code data routing and AI-powered lead qualification — build scalable sales flows without complex scripts.
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See how Latenode works
FAQ Google Cloud Speech-To-Text and NetHunt
How can I connect my Google Cloud Speech-To-Text account to NetHunt using Latenode?
To connect your Google Cloud Speech-To-Text account to NetHunt 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 NetHunt accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I transcribe call recordings and save them to NetHunt?
Yes, easily! Latenode’s visual editor simplifies complex tasks. Automatically transcribe calls with Google Cloud Speech-To-Text and instantly update NetHunt records for enhanced CRM data.
What types of tasks can I perform by integrating Google Cloud Speech-To-Text with NetHunt?
Integrating Google Cloud Speech-To-Text with NetHunt allows you to perform various tasks, including:
- Automatically transcribe sales calls and log them to NetHunt.
- Analyze customer feedback via audio and update NetHunt records.
- Create tasks in NetHunt based on spoken keywords from transcriptions.
- Enrich contact profiles in NetHunt with data from voice notes.
- Trigger personalized email campaigns based on call transcript analysis.
What audio file types does Google Cloud Speech-To-Text support?
Google Cloud Speech-To-Text supports common audio formats like WAV, MP3, FLAC, and more. Latenode handles file conversion if needed.
Are there any limitations to the Google Cloud Speech-To-Text and NetHunt integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large audio files might take longer to process, depending on the Google Cloud Speech-To-Text API.
- NetHunt API rate limits may affect the speed of updating numerous records.
- Custom JavaScript code might be required for highly specific data transformations.