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

Add the Landbot.io Node
Select the Landbot.io node from the app selection panel on the right.

Landbot.io
Configure the Landbot.io
Click on the Landbot.io node to configure it. You can modify the Landbot.io 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 Landbot.io 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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OpenAI Vision
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 Landbot.io 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 Landbot.io 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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Webhook response
Save and Activate the Scenario
After configuring Landbot.io, 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 Landbot.io and OpenAI Vision integration works as expected. Depending on your setup, data should flow between Landbot.io 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 Landbot.io and OpenAI Vision
Landbot.io + OpenAI Vision + Google Sheets: When a user sends an image through Landbot.io, the image is analyzed by OpenAI Vision (this step is simulated). The analysis results, along with any relevant data, are then logged into a Google Sheets spreadsheet.
Landbot.io + OpenAI Vision + Slack: When a user sends an image through Landbot.io, the image is analyzed by OpenAI Vision (this step is simulated). The analysis results are then sent to a dedicated Slack channel for review.
Landbot.io and OpenAI Vision integration alternatives
About Landbot.io
Use Landbot.io in Latenode to build no-code chatbots, then connect them to your wider automation. Capture leads, qualify prospects, or provide instant support and trigger follow-up actions directly in your CRM, databases, or marketing tools. Latenode handles complex logic, scaling, and integrations without per-step fees.
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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 Landbot.io and OpenAI Vision
How can I connect my Landbot.io account to OpenAI Vision using Latenode?
To connect your Landbot.io account to OpenAI Vision on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Landbot.io and click on "Connect".
- Authenticate your Landbot.io and OpenAI Vision accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically classify customer-submitted images using chat?
Yes, you can. Latenode's visual editor makes this easy. Route images from Landbot.io to OpenAI Vision for classification, then use results to personalize the chat flow. Better service, faster.
What types of tasks can I perform by integrating Landbot.io with OpenAI Vision?
Integrating Landbot.io with OpenAI Vision allows you to perform various tasks, including:
- Analyzing images submitted via Landbot.io to understand customer needs.
- Automatically tagging conversations based on the content of uploaded images.
- Generating personalized responses based on visual data extracted from images.
- Filtering out inappropriate or irrelevant images submitted through Landbot.io.
- Extracting text from images shared in Landbot.io conversations using OCR.
How can I use custom JavaScript functions with my Landbot.io flows?
Latenode allows you to inject JavaScript code directly into your workflows. This provides unparalleled flexibility when processing data from Landbot.io, for advanced automation.
Are there any limitations to the Landbot.io and OpenAI Vision integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- OpenAI Vision API usage is subject to OpenAI's rate limits and pricing.
- Complex image analysis may increase workflow execution time.
- The accuracy of image analysis depends on the quality of the uploaded image.