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

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

JavaScript
⚙
AI Anthropic Claude 3
⚙
OneSignal
Trigger on Webhook
⚙
Google Cloud Speech-To-Text
⚙
⚙
Iterator
⚙
Webhook response
Save and Activate the Scenario
After configuring Google Cloud Speech-To-Text, OneSignal, 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 OneSignal integration works as expected. Depending on your setup, data should flow between Google Cloud Speech-To-Text and OneSignal (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 OneSignal
Google Cloud Speech-To-Text + OneSignal + Google Sheets: Transcribe audio from cloud storage. Upon successful transcription, send a push notification via OneSignal, and then log the transcription and notification details in a Google Sheet.
Google Cloud Speech-To-Text + OneSignal + Zendesk: Transcribe customer service calls, then if the sentiment is negative (determined externally, using a service not present), a push notification is sent via OneSignal and a support ticket is created in Zendesk.
Google Cloud Speech-To-Text and OneSignal 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.
Similar apps
Related categories
About OneSignal
Use OneSignal in Latenode to automate targeted push notifications. Create flows that trigger messages based on user behavior, data changes, or scheduled events. Optimize engagement by connecting OneSignal to your CRM, analytics, and marketing tools for personalized, automated campaigns.
Similar apps
Related categories
See how Latenode works
FAQ Google Cloud Speech-To-Text and OneSignal
How can I connect my Google Cloud Speech-To-Text account to OneSignal using Latenode?
To connect your Google Cloud Speech-To-Text account to OneSignal 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 OneSignal accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I send push notifications based on transcribed voice memos?
Yes, you can! Latenode's visual editor simplifies this: transcribe audio with Google Cloud Speech-To-Text, then trigger targeted OneSignal notifications based on keywords or sentiment. Increase engagement instantly!
What types of tasks can I perform by integrating Google Cloud Speech-To-Text with OneSignal?
Integrating Google Cloud Speech-To-Text with OneSignal allows you to perform various tasks, including:
- Send targeted notifications based on keywords extracted from voice recordings.
- Alert users when specific topics are mentioned in transcribed audio feedback.
- Automatically notify support teams of urgent issues identified via voice analysis.
- Transcribe voice messages and send summaries as push notifications.
- Create personalized marketing campaigns using voice-data insights.
How do I handle errors in my Google Cloud Speech-To-Text automations?
Latenode provides robust error handling. Use conditional logic and dedicated error-handling blocks to manage and retry failed Google Cloud Speech-To-Text tasks.
Are there any limitations to the Google Cloud Speech-To-Text and OneSignal integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large audio files may take considerable time to process via Google Cloud Speech-To-Text.
- OneSignal's notification delivery rates are subject to platform-specific factors.
- Complex workflows may require optimization for efficient execution.