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

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Authenticate Lessonspace
Now, click the Lessonspace node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Lessonspace settings. Authentication allows you to use Lessonspace through Latenode.
Configure the Google Cloud Speech-To-Text and Lessonspace 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 Lessonspace 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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Trigger on Webhook
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Save and Activate the Scenario
After configuring Google Cloud Speech-To-Text, Lessonspace, 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 Lessonspace integration works as expected. Depending on your setup, data should flow between Google Cloud Speech-To-Text and Lessonspace (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 Lessonspace
Lessonspace + Google Cloud Speech-To-Text + Google Docs: After a Lessonspace session ends, the audio from the session is sent to Google Cloud Speech-To-Text for transcription. The resulting text is then used to create a new Google Docs document.
Lessonspace + Google Cloud Speech-To-Text + Email: After a Lessonspace session ends, the audio from the session is transcribed using Google Cloud Speech-To-Text. The transcribed text is then sent via email to a specified recipient.
Google Cloud Speech-To-Text and Lessonspace 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 Lessonspace
Automate Lessonspace session management inside Latenode. Trigger meetings based on CRM data, automatically create follow-up tasks, and log attendance. Integrate with billing and email systems for a seamless user experience. Using Latenode, you reduce manual admin and create workflows that connect learning platforms with other key business tools, scaling onboarding and education efforts.
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See how Latenode works
FAQ Google Cloud Speech-To-Text and Lessonspace
How can I connect my Google Cloud Speech-To-Text account to Lessonspace using Latenode?
To connect your Google Cloud Speech-To-Text account to Lessonspace 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 Lessonspace accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I transcribe Lessonspace sessions automatically?
Yes, you can! Latenode allows automated transcription of Lessonspace sessions using Google Cloud Speech-To-Text. Benefit from searchable records and improved accessibility with this efficient workflow.
What types of tasks can I perform by integrating Google Cloud Speech-To-Text with Lessonspace?
Integrating Google Cloud Speech-To-Text with Lessonspace allows you to perform various tasks, including:
- Automatically transcribe recorded Lessonspace sessions for review.
- Analyze transcribed text for key discussion points using AI.
- Create summaries of Lessonspace meetings for quick reference.
- Store transcripts and summaries in a database for future access.
- Trigger actions based on keywords spoken during a Lessonspace session.
How accurate is Google Cloud Speech-To-Text on Latenode?
Google Cloud Speech-To-Text offers high accuracy, further improved with Latenode's ability to fine-tune the language model using custom data.
Are there any limitations to the Google Cloud Speech-To-Text and Lessonspace integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Transcription accuracy depends on audio quality and clarity in Lessonspace.
- Large volumes of transcription data may incur Google Cloud Speech-To-Text costs.
- Real-time transcription within Lessonspace is not directly supported.