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

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Authenticate Adalo
Now, click the Adalo node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Adalo settings. Authentication allows you to use Adalo through Latenode.
Configure the Google Cloud Speech-To-Text and Adalo 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 Adalo 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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AI Anthropic Claude 3
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Adalo
Trigger on Webhook
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Webhook response

Save and Activate the Scenario
After configuring Google Cloud Speech-To-Text, Adalo, 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 Adalo integration works as expected. Depending on your setup, data should flow between Google Cloud Speech-To-Text and Adalo (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 Adalo
Google Cloud Speech-To-Text + Adalo + Google Sheets: Transcribe audio from cloud storage using Google Cloud Speech-To-Text. Then, create a new record in Adalo with the transcription. Finally, add a new row to Google Sheets logging the transcription and Adalo record link.
Adalo + Google Cloud Speech-To-Text + Slack: When a new voice note record is created in Adalo, transcribe the audio using Google Cloud Speech-To-Text, and then post the transcription to a specified Slack channel.
Google Cloud Speech-To-Text and Adalo 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 Adalo
Use Adalo with Latenode to automate tasks triggered by your no-code apps. Update databases, send custom notifications, or process data from Adalo forms in real-time. Latenode adds advanced logic, data transformation, and scaling beyond Adalo's limits, with flexible JavaScript coding and cost-effective execution pricing.
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FAQ Google Cloud Speech-To-Text and Adalo
How can I connect my Google Cloud Speech-To-Text account to Adalo using Latenode?
To connect your Google Cloud Speech-To-Text account to Adalo 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 Adalo accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automate voice-based data entry into my Adalo app?
Yes, you can! Latenode allows you to transcribe audio from Google Cloud Speech-To-Text and automatically update your Adalo database, streamlining data entry and improving efficiency.
What types of tasks can I perform by integrating Google Cloud Speech-To-Text with Adalo?
Integrating Google Cloud Speech-To-Text with Adalo allows you to perform various tasks, including:
- Automatically creating Adalo records from voice notes.
- Transcribing customer service calls and storing them in Adalo.
- Updating Adalo database fields via voice commands.
- Generating meeting summaries directly into your Adalo app.
- Building voice-controlled features within your Adalo application.
HowsecureisGoogleCloudSpeech-To-TextdatatransferredtoAdaloviaLatenode?
Latenode uses secure connections to transfer data between Google Cloud Speech-To-Text and Adalo, ensuring your data remains private and protected throughout the process.
Are there any limitations to the Google Cloud Speech-To-Text and Adalo integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large audio files may require longer processing times with Google Cloud Speech-To-Text.
- The accuracy of transcription depends on the audio quality and language settings.
- Adalo's API rate limits may affect the speed of data updates in high-volume workflows.