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

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

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

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Authenticate AI GPT Router
Now, click the AI GPT Router node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your AI GPT Router settings. Authentication allows you to use AI GPT Router through Latenode.
Configure the OpenAI Vision and AI GPT Router 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 OpenAI Vision and AI GPT Router 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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AI GPT Router
Trigger on Webhook
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Save and Activate the Scenario
After configuring OpenAI Vision, AI GPT Router, 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 OpenAI Vision and AI GPT Router integration works as expected. Depending on your setup, data should flow between OpenAI Vision and AI GPT Router (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect OpenAI Vision and AI GPT Router
Slack + AI GPT Router + Slack: When a new file is added to Slack, it's analyzed by an AI model via the AI GPT Router. The results of the analysis are then posted back to the same Slack channel.
Google Sheets + AI GPT Router + Google Sheets: When a new row is added to Google Sheets, an AI model analyzes the data in that row via the AI GPT Router. The AI model then adds a comment with the analysis result to the same row in Google Sheets.
OpenAI Vision and AI GPT Router integration alternatives
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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About AI GPT Router
Use AI GPT Router in Latenode to intelligently route and process text. Automate content summarization, sentiment analysis, or language translation based on custom criteria. Chain AI tasks with no-code tools, APIs, and file parsing nodes. Scale complex AI workflows easily with prompt-driven logic and affordable, execution-based pricing.
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FAQ OpenAI Vision and AI GPT Router
How can I connect my OpenAI Vision account to AI GPT Router using Latenode?
To connect your OpenAI Vision account to AI GPT Router on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select OpenAI Vision and click on "Connect".
- Authenticate your OpenAI Vision and AI GPT Router accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I analyze images and generate marketing copy?
Yes, you can! Latenode lets you use OpenAI Vision to analyze images, sending the data to AI GPT Router to generate targeted marketing copy. Automate your content creation using AI.
What types of tasks can I perform by integrating OpenAI Vision with AI GPT Router?
Integrating OpenAI Vision with AI GPT Router allows you to perform various tasks, including:
- Automatically classifying images and creating related product descriptions.
- Extracting text from images and summarizing the content using AI.
- Generating social media posts based on analyzed image characteristics.
- Creating personalized customer experiences using visual data.
- Analyzing competitor visuals and writing comparative ad copy.
Can I use custom prompts for AI GPT Router with image data?
Yes, Latenode lets you craft detailed prompts for AI GPT Router, using data extracted from images by OpenAI Vision for tailored outputs.
Are there any limitations to the OpenAI Vision and AI GPT Router integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large image processing may be subject to OpenAI Vision's rate limits.
- AI GPT Router's output quality depends on the complexity of your prompt.
- Workflow execution time is affected by the size and number of images.