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

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Authenticate Google Vertex AI
Now, click the Google Vertex AI node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Google Vertex AI settings. Authentication allows you to use Google Vertex AI through Latenode.
Configure the Captions and Google Vertex AI 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 Vertex AI 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 Captions, Google Vertex AI, 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 Vertex AI integration works as expected. Depending on your setup, data should flow between Captions and Google Vertex AI (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 Vertex AI
YouTube + Captions + YouTube: When a new video is uploaded to YouTube, a request is sent to Captions to generate subtitles. Once generated, the updated video details, including the subtitles, are uploaded back to YouTube, enhancing accessibility.
Slack + Google Vertex AI + Slack: When a new message is posted to a specific Slack channel (e.g., customer support), its sentiment is analyzed using Google Vertex AI. If negative sentiment is detected, a summary of the message is generated by Google Vertex AI and sent to another Slack channel for review by the support team.
Captions and Google Vertex AI 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 Vertex AI
Use Vertex AI in Latenode to build AI-powered automation. Quickly integrate machine learning models for tasks like sentiment analysis or image recognition. Automate data enrichment or content moderation workflows without complex coding. Latenode’s visual editor makes it easier to chain AI tasks and scale them reliably, paying only for the execution time of each flow.
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See how Latenode works
FAQ Captions and Google Vertex AI
How can I connect my Captions account to Google Vertex AI using Latenode?
To connect your Captions account to Google Vertex AI 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 Vertex AI accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically translate Captions subtitles with Google Vertex AI?
Yes, you can! Latenode allows for seamless automation of subtitle translation. This ensures your video content reaches a global audience effortlessly and accurately by utilizing Google Vertex AI.
What types of tasks can I perform by integrating Captions with Google Vertex AI?
Integrating Captions with Google Vertex AI allows you to perform various tasks, including:
- Automatically generating video transcripts from Captions using Vertex AI.
- Analyzing sentiment in Captions-generated subtitles with Vertex AI's NLP.
- Improving caption accuracy by using Vertex AI to correct transcript errors.
- Creating multi-language subtitles by translating Captions output via Vertex AI.
- Summarizing video content from Captions transcripts using Vertex AI's models.
How do I handle errors when Captions fails on Latenode?
Latenode lets you implement robust error handling. Use conditional logic or error triggers to retry failed Captions tasks or send alerts.
Are there any limitations to the Captions and Google Vertex AI integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large video files might take longer to process depending on your Vertex AI quota.
- The accuracy of translations depends on the quality of the original Captions transcript.
- Custom Vertex AI models may require additional setup within the Google Cloud console.