How to connect Okta and Google Cloud Speech-To-Text
Create a New Scenario to Connect Okta and Google Cloud Speech-To-Text
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 Okta, triggered by another scenario, or executed manually (for testing purposes). In most cases, Okta or Google Cloud Speech-To-Text will be your first step. To do this, click "Choose an app," find Okta or Google Cloud Speech-To-Text, and select the appropriate trigger to start the scenario.

Add the Okta Node
Select the Okta node from the app selection panel on the right.


Okta

Add the Google Cloud Speech-To-Text Node
Next, click the plus (+) icon on the Okta 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 Okta 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 Okta 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 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 Okta, Google Cloud Speech-To-Text, 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 Okta and Google Cloud Speech-To-Text integration works as expected. Depending on your setup, data should flow between Okta 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 Okta and Google Cloud Speech-To-Text
Okta + Google Cloud Speech-To-Text + Slack: When a new security training event is registered in Okta, the associated audio file is transcribed using Google Cloud Speech-To-Text. The resulting transcription is then summarized and posted to a dedicated Slack channel for review.
Google Cloud Speech-To-Text + Okta + Google Docs: Audio from a meeting is transcribed using Google Cloud Speech-To-Text, creating meeting minutes. These minutes are then saved as a new Google Docs document, and Okta is used to manage and secure user access to the document.
Okta and Google Cloud Speech-To-Text integration alternatives

About Okta
Use Okta in Latenode to automate identity and access management. Trigger workflows on user events like creation or login. Provision users in other apps or revoke access based on Okta status. Simplify user lifecycle management across your stack with visual, scalable automation.
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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
FAQ Okta and Google Cloud Speech-To-Text
How can I connect my Okta account to Google Cloud Speech-To-Text using Latenode?
To connect your Okta account to Google Cloud Speech-To-Text on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Okta and click on "Connect".
- Authenticate your Okta and Google Cloud Speech-To-Text accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I transcribe Okta-recorded meeting audio using Speech-To-Text?
Yes, you can! Latenode's file parsing and automation features let you automatically transcribe meeting audio from Okta, creating searchable records and improving accessibility.
What types of tasks can I perform by integrating Okta with Google Cloud Speech-To-Text?
Integrating Okta with Google Cloud Speech-To-Text allows you to perform various tasks, including:
- Automatically transcribe meeting recordings stored in Okta's cloud storage.
- Analyze sentiment from transcribed customer support calls via Okta.
- Create searchable transcripts of Okta training sessions for compliance.
- Trigger alerts based on keywords identified in transcribed audio.
- Streamline identity verification processes using voice analysis.
How does Latenode handle Okta authentication and security?
Latenode uses secure OAuth to authenticate with Okta, ensuring your credentials are never directly stored and your data remains protected.
Are there any limitations to the Okta 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 longer processing times due to API limitations.
- Transcription accuracy depends on audio quality and language complexity.
- Okta API rate limits can affect the speed of data retrieval.