Microsoft Teams and OpenAI Vision Integration

90% cheaper with Latenode

AI agent that builds your workflows for you

Hundreds of apps to connect

Automatically analyze images shared in Microsoft Teams with OpenAI Vision using Latenode. Easily extract insights and trigger actions with a visual editor and affordable execution-based pricing. Use JavaScript for custom logic.

Swap Apps

Microsoft Teams

OpenAI Vision

Step 1: Choose a Trigger

Step 2: Choose an Action

When this happens...

Name of node

action, for one, delete

Name of node

action, for one, delete

Name of node

action, for one, delete

Name of node

description of the trigger

Name of node

action, for one, delete

Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

Do this.

Name of node

action, for one, delete

Name of node

action, for one, delete

Name of node

action, for one, delete

Name of node

description of the trigger

Name of node

action, for one, delete

Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
Try it now

No credit card needed

Without restriction

How to connect Microsoft Teams and OpenAI Vision

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

Add the Microsoft Teams Node

Select the Microsoft Teams node from the app selection panel on the right.

+
1

Microsoft Teams

Configure the Microsoft Teams

Click on the Microsoft Teams node to configure it. You can modify the Microsoft Teams URL and choose between DEV and PROD versions. You can also copy it for use in further automations.

+
1

Microsoft Teams

Node type

#1 Microsoft Teams

/

Name

Untitled

Connection *

Select

Map

Connect Microsoft Teams

Sign In

Run node once

Add the OpenAI Vision Node

Next, click the plus (+) icon on the Microsoft Teams node, select OpenAI Vision from the list of available apps, and choose the action you need from the list of nodes within OpenAI Vision.

1

Microsoft Teams

+
2

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.

1

Microsoft Teams

+
2

OpenAI Vision

Node type

#2 OpenAI Vision

/

Name

Untitled

Connection *

Select

Map

Connect OpenAI Vision

Sign In

Run node once

Configure the Microsoft Teams 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.

1

Microsoft Teams

+
2

OpenAI Vision

Node type

#2 OpenAI Vision

/

Name

Untitled

Connection *

Select

Map

Connect OpenAI Vision

OpenAI Vision Oauth 2.0

#66e212yt846363de89f97d54
Change

Select an action *

Select

Map

The action ID

Run node once

Set Up the Microsoft Teams 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.
5

JavaScript

6

AI Anthropic Claude 3

+
7

OpenAI Vision

1

Trigger on Webhook

2

Microsoft Teams

3

Iterator

+
4

Webhook response

Save and Activate the Scenario

After configuring Microsoft Teams, 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 Teams and OpenAI Vision integration works as expected. Depending on your setup, data should flow between Microsoft Teams 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 Teams and OpenAI Vision

Microsoft Teams + OpenAI Vision + Jira: When a new channel message is posted in Microsoft Teams containing an image, the image is analyzed by OpenAI Vision (this step is not available and will be skipped). If the analysis detects a bug, a new bug issue is created in Jira.

Microsoft Teams + OpenAI Vision + Google Sheets: When a new channel message is posted in Microsoft Teams containing an image, the image is analyzed by OpenAI Vision (this step is not available and will be skipped). The findings are logged in Google Sheets, and a summary of the analysis along with a link to the Google Sheet is sent back to the Teams channel.

Microsoft Teams and OpenAI Vision integration alternatives

About Microsoft Teams

Use Microsoft Teams in Latenode to automate notifications and approvals. Instead of manual updates, automatically post messages based on triggers from other apps (like CRM or databases). Streamline workflows and improve team communication by connecting Teams to your automated processes without complex coding.

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.

See how Latenode works

FAQ Microsoft Teams and OpenAI Vision

How can I connect my Microsoft Teams account to OpenAI Vision using Latenode?

To connect your Microsoft Teams account to OpenAI Vision on Latenode, follow these steps:

  • Sign in to your Latenode account.
  • Navigate to the integrations section.
  • Select Microsoft Teams and click on "Connect".
  • Authenticate your Microsoft Teams and OpenAI Vision accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I analyze images sent in Microsoft Teams channels?

Yes, with Latenode you can automatically analyze images posted in Teams using OpenAI Vision. Extract insights, moderate content, and trigger actions, all without coding!

What types of tasks can I perform by integrating Microsoft Teams with OpenAI Vision?

Integrating Microsoft Teams with OpenAI Vision allows you to perform various tasks, including:

  • Automatically extract text from images shared in Teams channels.
  • Moderate image content in Teams to flag inappropriate material.
  • Trigger alerts in Teams based on image analysis results.
  • Categorize images shared in Teams for better organization.
  • Summarize visual information from images directly within Teams.

How does Latenode handle large volumes of Teams messages?

Latenode's scalable infrastructure efficiently processes high volumes of Teams data, ensuring reliable automation even during peak activity.

Are there any limitations to the Microsoft Teams and OpenAI Vision integration on Latenode?

While the integration is powerful, there are certain limitations to be aware of:

  • Rate limits imposed by Microsoft Teams and OpenAI Vision APIs.
  • The accuracy of image analysis depends on image quality.
  • Complex workflows may require advanced JavaScript knowledge.

Try now