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How to connect Google Cloud Speech-To-Text and Thinkific
Create a New Scenario to Connect Google Cloud Speech-To-Text and Thinkific
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 Thinkific will be your first step. To do this, click "Choose an app," find Google Cloud Speech-To-Text or Thinkific, 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.
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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 Thinkific Node
Next, click the plus (+) icon on the Google Cloud Speech-To-Text node, select Thinkific from the list of available apps, and choose the action you need from the list of nodes within Thinkific.
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Authenticate Thinkific
Now, click the Thinkific node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Thinkific settings. Authentication allows you to use Thinkific through Latenode.
Configure the Google Cloud Speech-To-Text and Thinkific 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 Thinkific 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 Google Cloud Speech-To-Text, Thinkific, 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 Thinkific integration works as expected. Depending on your setup, data should flow between Google Cloud Speech-To-Text and Thinkific (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 Thinkific
Google Cloud Speech-To-Text + Thinkific + Slack: When a Thinkific course is completed, the audio from the course lectures is transcribed using Google Cloud Speech-To-Text. A summary of the transcription is then posted to a dedicated Slack channel for instructors.
Thinkific + Google Cloud Speech-To-Text + Google Docs: When a Thinkific course is completed, the audio from the course lectures is transcribed using Google Cloud Speech-To-Text. A Google Docs document is then created containing the transcription.
Google Cloud Speech-To-Text and Thinkific 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 Thinkific
Automate Thinkific course management within Latenode. Enroll students, track progress, and send targeted messages based on course activity. Integrate Thinkific with your CRM and marketing tools for personalized learning paths and automated follow-ups. Respond to events instantly and build custom workflows faster than ever.
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FAQ Google Cloud Speech-To-Text and Thinkific
How can I connect my Google Cloud Speech-To-Text account to Thinkific using Latenode?
To connect your Google Cloud Speech-To-Text account to Thinkific 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 Thinkific accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I transcribe audio lessons into Thinkific course subtitles?
Yes, you can! Latenode automates transcription with Google Cloud Speech-To-Text and then updates Thinkific, saving hours of manual work and improving course accessibility.
What types of tasks can I perform by integrating Google Cloud Speech-To-Text with Thinkific?
Integrating Google Cloud Speech-To-Text with Thinkific allows you to perform various tasks, including:
- Automatically transcribe student audio feedback into text for analysis.
- Create searchable transcripts of webinars hosted within Thinkific courses.
- Generate subtitles for video lessons using automated speech recognition.
- Analyze spoken content in Thinkific courses for sentiment and topic trends.
- Trigger actions in other apps based on keywords spoken in course videos.
How accurate is Google Cloud Speech-To-Text transcription within Latenode?
Accuracy depends on audio quality, but Latenode lets you add AI steps to refine transcripts and boost precision further.
Are there any limitations to the Google Cloud Speech-To-Text and Thinkific integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large audio files may require processing time depending on Google Cloud Speech-To-Text.
- Thinkific API limitations might affect bulk actions or data retrieval speeds.
- Custom terminology requires careful configuration in Google Cloud Speech-To-Text.
