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

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

Google AI
Configure the Google AI
Click on the Google AI node to configure it. You can modify the Google AI URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the OpenAI Vision Node
Next, click the plus (+) icon on the Google AI node, select OpenAI Vision from the list of available apps, and choose the action you need from the list of nodes within OpenAI Vision.

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Authenticate OpenAI Vision
Now, click the OpenAI Vision node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your OpenAI Vision settings. Authentication allows you to use OpenAI Vision through Latenode.
Configure the Google AI and OpenAI Vision 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 AI and OpenAI Vision 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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AI Anthropic Claude 3
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OpenAI Vision
Trigger on Webhook
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Save and Activate the Scenario
After configuring Google AI, OpenAI Vision, 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 AI and OpenAI Vision integration works as expected. Depending on your setup, data should flow between Google AI and OpenAI Vision (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Google AI and OpenAI Vision
Slack + Google AI + Google AI: When a new file is added to Slack, the system uses Google AI to generate a description of the image using Gemini, and then uses Imagen to generate a similar image.
Google Sheets + Google AI + Slack: When a new row is added to Google Sheets, the system uses Google AI to send a message to Gemini to analyze the data and extract insights. Then, it posts the analysis to a dedicated Slack channel.
Google AI and OpenAI Vision integration alternatives
About Google AI
Use Google AI in Latenode to add smarts to your workflows. Process text, translate languages, or analyze images automatically. Unlike direct API calls, Latenode lets you combine AI with other apps, add logic, and scale without code. Automate content moderation, sentiment analysis, and more.
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About OpenAI Vision
Use OpenAI Vision in Latenode to automate image analysis tasks. Detect objects, read text, or classify images directly within your workflows. Integrate visual data with databases or trigger alerts based on image content. Latenode's visual editor and flexible integrations make it easy to add AI vision to any process. Scale automations without per-step pricing.
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See how Latenode works
FAQ Google AI and OpenAI Vision
How can I connect my Google AI account to OpenAI Vision using Latenode?
To connect your Google AI account to OpenAI Vision on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google AI and click on "Connect".
- Authenticate your Google AI and OpenAI Vision accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically caption images using AI models?
Yes, you can! Latenode enables seamless workflows combining Google AI and OpenAI Vision. Automate content creation, improve accessibility, and save time with our no-code editor.
What types of tasks can I perform by integrating Google AI with OpenAI Vision?
Integrating Google AI with OpenAI Vision allows you to perform various tasks, including:
- Analyzing images for sentiment and generating AI responses.
- Extracting text from images and summarizing with Google AI.
- Creating marketing copy from visual content using AI models.
- Automating image classification and labeling processes at scale.
- Building personalized content recommendations based on visual data.
How does Latenode enhance Google AI integration capabilities?
Latenode allows you to chain Google AI with other apps, add custom logic using JavaScript, and scale workflows without code via serverless infrastructure.
Are there any limitations to the Google AI and OpenAI Vision integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Rate limits for Google AI and OpenAI Vision still apply.
- Complex workflows may require more advanced JavaScript knowledge.
- Large file processing depends on your Latenode plan's resource limits.