How to connect RD Station and OpenAI Vision
Create a New Scenario to Connect RD Station and OpenAI Vision
In the workspace, click the βCreate New Scenarioβ button.

Add the First Step
Add the first node β a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a RD Station, triggered by another scenario, or executed manually (for testing purposes). In most cases, RD Station or OpenAI Vision will be your first step. To do this, click "Choose an app," find RD Station or OpenAI Vision, and select the appropriate trigger to start the scenario.

Add the RD Station Node
Select the RD Station node from the app selection panel on the right.


RD Station

Configure the RD Station
Click on the RD Station node to configure it. You can modify the RD Station 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 RD Station 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 RD Station 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 RD Station 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 donβt 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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OpenAI Vision
Trigger on Webhook
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Save and Activate the Scenario
After configuring RD Station, OpenAI Vision, and any additional nodes, donβt 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 βRun onceβ and triggering an event to check if the RD Station and OpenAI Vision integration works as expected. Depending on your setup, data should flow between RD Station 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 RD Station and OpenAI Vision
RD Station + Slack: When a new lead conversion occurs in RD Station, a notification is sent to a Slack channel.
RD Station + Google Sheets: When a new lead conversion occurs in RD Station, the lead's information is added as a new row in a Google Sheet.
RD Station and OpenAI Vision integration alternatives

About RD Station
Use RD Station in Latenode to automate marketing tasks. Update leads, trigger personalized emails, and track campaign performance, all inside automated workflows. Integrate RD Station data with other apps, enrich with AI, and build custom logic without code. Scale your marketing automation affordably and visually.
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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 RD Station and OpenAI Vision
How can I connect my RD Station account to OpenAI Vision using Latenode?
To connect your RD Station account to OpenAI Vision on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select RD Station and click on "Connect".
- Authenticate your RD Station and OpenAI Vision accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically update RD Station leads based on image analysis?
Yes, with Latenode you can! Automatically enrich lead data in RD Station using OpenAI Vision analysis, improving lead qualification and personalization efforts, thanks to our flexible no-code editor.
What types of tasks can I perform by integrating RD Station with OpenAI Vision?
Integrating RD Station with OpenAI Vision allows you to perform various tasks, including:
- Categorizing leads by analyzing images they submit via RD Station forms.
- Identifying brands or products in images to personalize marketing messages.
- Flagging potentially inappropriate content in user-submitted visuals.
- Automatically updating lead scores based on image-derived insights.
- Creating targeted email campaigns based on visual preferences.
How does Latenode enhance RD Station's automation capabilities?
Latenode adds advanced AI and custom logic, allowing complex workflows beyond RD Station's native tools, scaling automations with no-code ease.
Are there any limitations to the RD Station and OpenAI Vision integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Rate limits of both RD Station and OpenAI Vision APIs apply.
- Complex image analysis workflows may require significant processing time.
- Accuracy depends on the quality of images submitted by leads.