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

Add the Microsoft Excel Node
Select the Microsoft Excel node from the app selection panel on the right.


Microsoft Excel

Configure the Microsoft Excel
Click on the Microsoft Excel node to configure it. You can modify the Microsoft Excel 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 Microsoft Excel 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 Microsoft Excel 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 Microsoft Excel 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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Save and Activate the Scenario
After configuring Microsoft Excel, 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 Microsoft Excel and OpenAI Vision integration works as expected. Depending on your setup, data should flow between Microsoft Excel 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 Microsoft Excel and OpenAI Vision
Microsoft Excel + OpenAI Vision + Slack: When a new row containing a product image URL is added to an Excel table, the image is analyzed by OpenAI Vision for defects. If defects are detected, a notification is sent to the quality control team via Slack.
OpenAI Vision + Microsoft Excel + Google Sheets: Extract text from an image using OpenAI Vision. Input that extracted text into a new row in Microsoft Excel. Finally, add the data from the new row to Google Sheets.
Microsoft Excel and OpenAI Vision integration alternatives

About Microsoft Excel
Automate Excel tasks within Latenode workflows. Read, update, or create spreadsheets directly. Use Excel data to trigger actions in other apps, generate reports, or update databases. No manual data entry; improve accuracy and save time by connecting Excel to other systems via Latenode's visual interface.
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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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FAQ Microsoft Excel and OpenAI Vision
How can I connect my Microsoft Excel account to OpenAI Vision using Latenode?
To connect your Microsoft Excel account to OpenAI Vision on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Microsoft Excel and click on "Connect".
- Authenticate your Microsoft Excel and OpenAI Vision accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically analyze image data from Excel?
Yes, you can! Latenode lets you automate this process, extracting insights from images linked in your Excel sheets. Scale your image analysis with efficient, automated workflows.
What types of tasks can I perform by integrating Microsoft Excel with OpenAI Vision?
Integrating Microsoft Excel with OpenAI Vision allows you to perform various tasks, including:
- Extract data from images and write it to Excel spreadsheets.
- Categorize images based on their content, updating Excel automatically.
- Generate descriptions for images stored as links in Microsoft Excel.
- Identify objects and elements within images linked in Excel.
- Automate image quality checks and log the results in Excel.
How does Latenode handle large Excel files efficiently?
Latenode processes Excel files with optimized memory management. This enables workflows handling substantial data without performance bottlenecks or errors.
Are there any limitations to the Microsoft Excel and OpenAI Vision integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- OpenAI Vision usage is subject to their rate limits and API costs.
- Complex image analysis tasks might require significant processing time.
- Excel file size limitations depend on your Latenode plan's resources.