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Automate content transformation: Use Google Vertex AI to analyze unstructured documents converted by CloudConvert, then refine or repurpose them. Latenode's visual editor and affordable pricing make this complex task accessible, even at scale, while bringing your own AI logic.
Connect Google Vertex AI and CloudConvert in minutes with Latenode.
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Create a New Scenario to Connect Google Vertex AI and CloudConvert
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 CloudConvert will be your first step. To do this, click "Choose an app," find Google Vertex AI or CloudConvert, 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 CloudConvert Node
Next, click the plus (+) icon on the Google Vertex AI node, select CloudConvert from the list of available apps, and choose the action you need from the list of nodes within CloudConvert.
Google Vertex AI
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CloudConvert
Authenticate CloudConvert
Now, click the CloudConvert node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your CloudConvert settings. Authentication allows you to use CloudConvert through Latenode.
Configure the Google Vertex AI and CloudConvert 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 CloudConvert Integration
Use various Latenode nodes to transform data and enhance your integration:
JavaScript
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AI Anthropic Claude 3
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CloudConvert
Trigger on Webhook
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Google Vertex AI
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Iterator
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Webhook response
Save and Activate the Scenario
After configuring Google Vertex AI, CloudConvert, 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 CloudConvert integration works as expected. Depending on your setup, data should flow between Google Vertex AI and CloudConvert (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Google Drive + Google Vertex AI + Google Drive: When a new audio file is added to Google Drive, it's transcribed using Google Vertex AI. The resulting text is then saved as a new text file back in Google Drive.
CloudConvert + Google Vertex AI + Slack: When a CloudConvert job finishes, the converted file is transcribed into text using Google Vertex AI. Then, a summary of the transcribed text is sent to a Slack channel.
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 CloudConvert
Need to convert files as part of your automation? Integrate CloudConvert into Latenode to automatically transform documents, images, audio, and video formats. Automate media processing workflows, optimize file sizes for storage, and ensure compatibility across platforms—all within Latenode's visual, scalable environment.
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How can I connect my Google Vertex AI account to CloudConvert using Latenode?
To connect your Google Vertex AI account to CloudConvert on Latenode, follow these steps:
Can I automatically convert images after AI processing?
Yes, you can. Latenode's visual editor simplifies this, letting you chain Google Vertex AI image analysis directly into CloudConvert for automatic format conversions, enhancing your AI pipeline.
What types of tasks can I perform by integrating Google Vertex AI with CloudConvert?
Integrating Google Vertex AI with CloudConvert allows you to perform various tasks, including:
How does Latenode handle large files in Google Vertex AI workflows?
Latenode efficiently manages large files by streaming data between Google Vertex AI and CloudConvert, ensuring optimal performance without storage limits.
Are there any limitations to the Google Vertex AI and CloudConvert integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: