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

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Authenticate Captions
Now, click the Captions node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Captions settings. Authentication allows you to use Captions through Latenode.
Configure the Google Cloud Speech-To-Text and Captions 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 Captions 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, Captions, 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 Captions integration works as expected. Depending on your setup, data should flow between Google Cloud Speech-To-Text and Captions (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 Captions
YouTube + Google Cloud Speech-To-Text + Captions: When a new video is uploaded to YouTube, extract the audio, transcribe it using Google Cloud Speech-To-Text, and then use Captions to generate and manage the subtitles for the video, improving accessibility and engagement.
Zoom + Google Cloud Speech-To-Text + YouTube: When a Zoom meeting recording is completed, extract the audio, transcribe it using Google Cloud Speech-To-Text, and upload the meeting recording as a private video to YouTube, making it available for later review and sharing.
Google Cloud Speech-To-Text and Captions 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 Captions
Need accurate, automated captions for videos? Integrate Captions with Latenode to generate and sync subtitles across platforms. Automate video accessibility for marketing, training, or support. Latenode adds scheduling, file handling, and error control to Captions, making scalable captioning workflows simple and efficient.
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See how Latenode works
FAQ Google Cloud Speech-To-Text and Captions
How can I connect my Google Cloud Speech-To-Text account to Captions using Latenode?
To connect your Google Cloud Speech-To-Text account to Captions 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 Captions accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically create subtitles from audio files?
Yes, you can! Latenode allows you to automate this process using a visual interface, generating subtitles from audio files processed by Google Cloud Speech-To-Text, saving time and effort.
What types of tasks can I perform by integrating Google Cloud Speech-To-Text with Captions?
Integrating Google Cloud Speech-To-Text with Captions allows you to perform various tasks, including:
- Generate captions for video content automatically from audio files.
- Create transcripts of meetings and webinars with synchronized captions.
- Translate spoken content into multiple languages using automated captions.
- Archive and index audio files with searchable, generated captions.
- Enhance accessibility of audio content by providing real-time captions.
How does Latenode handle large audio files with Speech-To-Text?
Latenode efficiently manages large audio files via streamlined data handling, avoiding size limitations and ensuring reliable transcriptions.
Are there any limitations to the Google Cloud Speech-To-Text and Captions integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex audio environments may impact transcription accuracy.
- Captions customization options are dependent on Captions' API capabilities.
- Cost depends on Google Cloud Speech-To-Text's pricing for audio processing.