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How to connect Adalo and Google Cloud Speech-To-Text
Create a New Scenario to Connect Adalo and Google Cloud Speech-To-Text
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 Adalo, triggered by another scenario, or executed manually (for testing purposes). In most cases, Adalo or Google Cloud Speech-To-Text will be your first step. To do this, click "Choose an app," find Adalo or Google Cloud Speech-To-Text, and select the appropriate trigger to start the scenario.
Add the Adalo Node
Select the Adalo node from the app selection panel on the right.
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Add the Google Cloud Speech-To-Text Node
Next, click the plus (+) icon on the Adalo node, select Google Cloud Speech-To-Text from the list of available apps, and choose the action you need from the list of nodes within Google Cloud Speech-To-Text.
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Authenticate Google Cloud Speech-To-Text
Now, click the Google Cloud Speech-To-Text node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Google Cloud Speech-To-Text settings. Authentication allows you to use Google Cloud Speech-To-Text through Latenode.
Configure the Adalo and Google Cloud Speech-To-Text 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 Adalo and Google Cloud Speech-To-Text 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 Adalo, Google Cloud Speech-To-Text, 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 Adalo and Google Cloud Speech-To-Text integration works as expected. Depending on your setup, data should flow between Adalo and Google Cloud Speech-To-Text (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Adalo and Google Cloud Speech-To-Text
Adalo + Google Cloud Speech-To-Text + Google Sheets: When a new voice note record is created in Adalo, it's sent to Google Cloud Speech-To-Text for transcription. The transcribed text and Adalo user data are then added as a new row in Google Sheets.
Google Sheets + Adalo + Google Cloud Speech-To-Text: When a new row is added to Google Sheets containing a link to a meeting audio file, Google Cloud Speech-To-Text transcribes the audio. The resulting text is then used to update a corresponding record in Adalo.
Adalo and Google Cloud Speech-To-Text integration alternatives
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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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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See how Latenode works
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FAQ Adalo and Google Cloud Speech-To-Text
How can I connect my Adalo account to Google Cloud Speech-To-Text using Latenode?
To connect your Adalo account to Google Cloud Speech-To-Text on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Adalo and click on "Connect".
- Authenticate your Adalo and Google Cloud Speech-To-Text accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I transcribe Adalo audio and update a database?
Yes, you can. Latenode enables this automation, handling audio files, transcription via Google Cloud Speech-To-Text, and database updates, saving manual processing time.
What types of tasks can I perform by integrating Adalo with Google Cloud Speech-To-Text?
Integrating Adalo with Google Cloud Speech-To-Text allows you to perform various tasks, including:
- Automatically transcribing user voice notes stored in Adalo databases.
- Analyzing customer feedback from voice recordings via sentiment analysis.
- Creating searchable transcripts of audio content in Adalo apps.
- Generating automated meeting summaries from Adalo-based recordings.
- Updating Adalo database fields with transcribed text data.
How does Latenode handle Adalo's API rate limits?
Latenode provides tools to manage API calls, queue requests, and handle retries, helping you stay within Adalo's rate limits.
Are there any limitations to the Adalo and Google Cloud Speech-To-Text integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large audio files may require significant processing time.
- Transcription accuracy depends on audio quality and language complexity.
- Complex workflows may require JavaScript for advanced data manipulation.
