How to connect Google Cloud Speech-To-Text and Livestorm
Create a New Scenario to Connect Google Cloud Speech-To-Text and Livestorm
In the workspace, click the βCreate New Scenarioβ button.

Add the First Step
Add the first node β 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 Livestorm will be your first step. To do this, click "Choose an app," find Google Cloud Speech-To-Text or Livestorm, 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 Livestorm Node
Next, click the plus (+) icon on the Google Cloud Speech-To-Text node, select Livestorm from the list of available apps, and choose the action you need from the list of nodes within Livestorm.

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Authenticate Livestorm
Now, click the Livestorm node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Livestorm settings. Authentication allows you to use Livestorm through Latenode.
Configure the Google Cloud Speech-To-Text and Livestorm 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 Livestorm 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 donβt 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, Livestorm, and any additional nodes, donβt 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 βRun onceβ and triggering an event to check if the Google Cloud Speech-To-Text and Livestorm integration works as expected. Depending on your setup, data should flow between Google Cloud Speech-To-Text and Livestorm (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 Livestorm
Livestorm + Google Cloud Speech-To-Text + Slack: When a Livestorm session ends, the audio is transcribed using Google Cloud Speech-To-Text. A summary is then sent to a specified Slack channel.
Livestorm + Google Cloud Speech-To-Text + Google Docs: Automatically create a Google Doc with the transcript of a Livestorm meeting after the session has ended.
Google Cloud Speech-To-Text and Livestorm 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 Livestorm
Use Livestorm in Latenode to automate webinar tasks. Register attendees, send follow-up emails, and track engagement automatically. Integrate Livestorm data with your CRM and marketing tools for a seamless workflow. Latenode's visual editor simplifies the process, replacing manual work with a scalable, no-code solution.
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See how Latenode works
FAQ Google Cloud Speech-To-Text and Livestorm
How can I connect my Google Cloud Speech-To-Text account to Livestorm using Latenode?
To connect your Google Cloud Speech-To-Text account to Livestorm 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 Livestorm accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I transcribe Livestorm meeting recordings automatically?
Yes, you can! Latenode automates this process. Triggered by new Livestorm recordings, Latenode uses Google Cloud Speech-To-Text to generate transcripts, saving time and improving accessibility.
What types of tasks can I perform by integrating Google Cloud Speech-To-Text with Livestorm?
Integrating Google Cloud Speech-To-Text with Livestorm allows you to perform various tasks, including:
- Automatically generate subtitles for Livestorm webinar recordings.
- Analyze attendee questions from Livestorm events using transcript data.
- Create searchable archives of Livestorm event content via transcription.
- Extract key insights from Livestorm discussions for follow-up actions.
- Send summarized meeting notes to participants after Livestorm events.
How secure is my Google Cloud Speech-To-Text data on Latenode?
Latenode employs robust security measures, including encryption and access controls, to protect your Google Cloud Speech-To-Text and Livestorm data during integration and processing.
Are there any limitations to the Google Cloud Speech-To-Text and Livestorm integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large audio files may take longer to process due to Google Cloud Speech-To-Text processing times.
- The accuracy of transcriptions depends on the audio quality of the Livestorm recording.
- Complex workflows with extensive data processing may require a higher Latenode plan.