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

Add the Google Vertex AI Node
Select the Google Vertex AI node from the app selection panel on the right.

Google Vertex AI
Configure the Google Vertex AI
Click on the Google Vertex AI node to configure it. You can modify the Google Vertex AI 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 Vertex AI 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 Vertex AI 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 Vertex AI 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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Save and Activate the Scenario
After configuring Google Vertex AI, 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 Vertex AI and Captions integration works as expected. Depending on your setup, data should flow between Google Vertex AI 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 Vertex AI and Captions
Captions + Google Vertex AI + Slack: When a new video is processed in Captions, its transcript is sent to Google Vertex AI for summarization. The generated summary is then posted to a dedicated Slack channel.
Captions + Google Vertex AI + Google Docs: When a video processing is completed in Captions, the transcription is sent to Google Vertex AI to generate a summary of the video. The summary is then saved as a new document in Google Docs.
Google Vertex AI and Captions integration alternatives
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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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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FAQ Google Vertex AI and Captions
How can I connect my Google Vertex AI account to Captions using Latenode?
To connect your Google Vertex AI account to Captions on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google Vertex AI and click on "Connect".
- Authenticate your Google Vertex AI and Captions accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically generate captions for videos with AI analysis?
Yes, you can! Latenode lets you trigger Captions from Google Vertex AI events, using AI to enhance video accessibility. Automate your captioning workflow for efficiency.
What types of tasks can I perform by integrating Google Vertex AI with Captions?
Integrating Google Vertex AI with Captions allows you to perform various tasks, including:
- Generate captions from audio, using AI models in Vertex AI.
- Analyze video content and add context-aware captions.
- Translate captions into multiple languages automatically.
- Sync analyzed video data with transcripts in Captions.
- Trigger custom actions in Captions based on AI insights.
Can I use Google Vertex AI's advanced models with Captions on Latenode?
Yes, Latenode enables you to use Vertex AI models to enrich Captions workflows, adding advanced AI capabilities to video content.
Are there any limitations to the Google Vertex AI and Captions integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex AI models in Google Vertex AI may require more processing time.
- The accuracy of generated captions depends on the quality of the audio.
- Rate limits imposed by Google Vertex AI and Captions APIs apply.