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

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

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Configure the Captions
Click on the Captions node to configure it. You can modify the Captions URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Google Cloud Speech-To-Text Node
Next, click the plus (+) icon on the Captions 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 Captions 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 Captions 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 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 Captions, Google Cloud Speech-To-Text, 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 Captions and Google Cloud Speech-To-Text integration works as expected. Depending on your setup, data should flow between Captions 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 Captions and Google Cloud Speech-To-Text
Captions + Google Cloud Speech-To-Text + YouTube: Automatically transcribe audio from a video using Google Cloud Speech-To-Text, generate captions using Captions, and then update the video on YouTube with the generated subtitles.
Google Cloud Speech-To-Text + Captions + Google Docs: This automation transcribes audio from storage using Google Cloud Speech-To-Text, generates captions using Captions, and saves the transcribed text to a Google Docs document.
Captions and Google Cloud Speech-To-Text integration alternatives
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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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 Captions and Google Cloud Speech-To-Text
How can I connect my Captions account to Google Cloud Speech-To-Text using Latenode?
To connect your Captions account to Google Cloud Speech-To-Text on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Captions and click on "Connect".
- Authenticate your Captions and Google Cloud Speech-To-Text accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically transcribe Captions videos using Google Cloud Speech-To-Text?
Yes, you can! Latenode automates transcription, saving time. Trigger workflows on new Captions uploads and use Google Cloud Speech-To-Text for accurate, scalable results.
What types of tasks can I perform by integrating Captions with Google Cloud Speech-To-Text?
Integrating Captions with Google Cloud Speech-To-Text allows you to perform various tasks, including:
- Automatically generate subtitles for Captions videos using advanced AI.
- Analyze spoken content in videos for sentiment and key topics.
- Translate video transcripts into multiple languages automatically.
- Create searchable archives of video content.
- Trigger automated marketing campaigns based on video content analysis.
Can I use JavaScript to customize transcription parameters?
Yes! Latenode’s JavaScript blocks let you fine-tune Google Cloud Speech-To-Text settings for enhanced transcription accuracy based on specific audio characteristics.
Are there any limitations to the Captions and Google Cloud Speech-To-Text integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Transcription accuracy depends on the audio quality of the Captions video.
- Large video files may require more processing time.
- Google Cloud Speech-To-Text usage is subject to Google’s pricing and usage policies.