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

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

Microsoft OneNote
Configure the Microsoft OneNote
Click on the Microsoft OneNote node to configure it. You can modify the Microsoft OneNote 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 OneNote 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 OneNote 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 OneNote 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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Trigger on Webhook
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Save and Activate the Scenario
After configuring Microsoft OneNote, 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 OneNote and OpenAI Vision integration works as expected. Depending on your setup, data should flow between Microsoft OneNote 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 OneNote and OpenAI Vision
Microsoft OneNote + OpenAI Vision + Microsoft Teams: When a new note is added to a specific section in OneNote, its content is analyzed using OpenAI Vision (hypothetical). Based on the analysis, an expense report is generated and sent as a message to a Microsoft Teams channel.
Gmail + OpenAI Vision + Microsoft OneNote: When a new email arrives in Gmail with an attachment, OpenAI Vision (hypothetical) extracts text from the attached image. A summary of the extracted text is then created and saved as a new note in a specified Microsoft OneNote notebook section.
Microsoft OneNote and OpenAI Vision integration alternatives
About Microsoft OneNote
Automate OneNote tasks within Latenode: create notes from new leads, log support tickets, or archive data. Use Latenode to trigger actions based on OneNote updates, populate notebooks with data from other apps, and manage your information flow automatically. This avoids manual copy/paste and keeps your notes synchronized across systems.
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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 Microsoft OneNote and OpenAI Vision
How can I connect my Microsoft OneNote account to OpenAI Vision using Latenode?
To connect your Microsoft OneNote account to OpenAI Vision on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Microsoft OneNote and click on "Connect".
- Authenticate your Microsoft OneNote and OpenAI Vision accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically extract text from images and save it to OneNote?
Yes, you can! Latenode's visual editor makes it easy to automatically extract text from images using OpenAI Vision and save it directly to Microsoft OneNote, streamlining data entry.
What types of tasks can I perform by integrating Microsoft OneNote with OpenAI Vision?
Integrating Microsoft OneNote with OpenAI Vision allows you to perform various tasks, including:
- Analyze images and append summaries to OneNote pages.
- Extract text from screenshots and store it in OneNote.
- Categorize OneNote notes based on image content.
- Automatically tag images within OneNote notebooks.
- Monitor folders for new images and update OneNote.
How does Latenode handle large image files in Microsoft OneNote?
Latenode supports large files; it can process images efficiently using background tasks and optimized data handling, ensuring smooth performance for complex workflows.
Are there any limitations to the Microsoft OneNote and OpenAI Vision integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Rate limits from Microsoft OneNote and OpenAI Vision APIs may apply.
- Large image processing can consume significant processing time.
- Complex image analysis requires appropriate OpenAI Vision credits.