How to connect OpenAI Vision and Landbot.io
Create a New Scenario to Connect OpenAI Vision and Landbot.io
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 Landbot.io will be your first step. To do this, click "Choose an app," find OpenAI Vision or Landbot.io, 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 Landbot.io Node
Next, click the plus (+) icon on the OpenAI Vision node, select Landbot.io from the list of available apps, and choose the action you need from the list of nodes within Landbot.io.

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Authenticate Landbot.io
Now, click the Landbot.io node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Landbot.io settings. Authentication allows you to use Landbot.io through Latenode.
Configure the OpenAI Vision and Landbot.io 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 Landbot.io 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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Landbot.io
Trigger on Webhook
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Webhook response
Save and Activate the Scenario
After configuring OpenAI Vision, Landbot.io, 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 Landbot.io integration works as expected. Depending on your setup, data should flow between OpenAI Vision and Landbot.io (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 Landbot.io
Landbot.io + OpenAI Vision + Google Sheets: When a user sends an image via Landbot.io, the automation triggers an analysis of the image using OpenAI Vision (hypothetical). The identified objects and other relevant data are then recorded in a Google Sheets spreadsheet for review and further action.
Landbot.io + OpenAI Vision + Airtable: When a user uploads an image via Landbot.io, the automation analyzes the image and extracts data using OpenAI Vision (hypothetical). The extracted data is then saved as a new record in Airtable for organized storage and management.
OpenAI Vision and Landbot.io 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 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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See how Latenode works
FAQ OpenAI Vision and Landbot.io
How can I connect my OpenAI Vision account to Landbot.io using Latenode?
To connect your OpenAI Vision account to Landbot.io 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 Landbot.io accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically tag products in images sent via Landbot?
Yes, you can! Using Latenode, automatically analyze images from Landbot, identify products via OpenAI Vision, and update product tags, streamlining inventory management.
What types of tasks can I perform by integrating OpenAI Vision with Landbot.io?
Integrating OpenAI Vision with Landbot.io allows you to perform various tasks, including:
- Extracting text from images submitted through Landbot chatbots.
- Moderating user-submitted images for inappropriate content.
- Identifying objects in images to provide tailored chatbot responses.
- Analyzing user photos to offer personalized product recommendations.
- Verifying document authenticity via image analysis in Landbot flows.
Can I use JavaScript to enhance OpenAI Vision image analysis inside Latenode?
Yes! Latenode allows custom JavaScript steps to pre/post-process image data, enabling advanced analysis beyond OpenAI Vision's native capabilities.
Are there any limitations to the OpenAI Vision and Landbot.io integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- OpenAI Vision usage is subject to their API rate limits and pricing.
- Complex image analysis may require significant processing time.
- Landbot's file size limits can impact image processing capabilities.