Lark and OpenAI Vision Integration

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Automatically classify images shared in Lark using OpenAI Vision on Latenode. Enrich team communication with automated image analysis, customized using JavaScript, and scale affordably with pay-by-execution pricing.

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Lark

OpenAI Vision

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Lark and OpenAI Vision

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

Add the Lark Node

Select the Lark node from the app selection panel on the right.

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Lark

Configure the Lark

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

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Lark

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Connect Lark

Sign In

Run node once

Add the OpenAI Vision Node

Next, click the plus (+) icon on the Lark 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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Lark

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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.

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OpenAI Vision

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Connect OpenAI Vision

Sign In

Run node once

Configure the Lark 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.

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OpenAI Vision Oauth 2.0

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Select an action *

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The action ID

Run node once

Set Up the Lark 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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Webhook response

Save and Activate the Scenario

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

Lark + OpenAI Vision + Google Drive: When a new image is uploaded to a Lark group chat, the image is analyzed by OpenAI Vision (this step is not available and will be skipped). The analysis results would then be saved to a new Google Drive file.

Lark + OpenAI Vision + Jira: When a new image is uploaded to a Lark group chat, and if OpenAI Vision (this step is not available and will be skipped) detects an error in the image, a new Jira ticket is created to address the error.

Lark and OpenAI Vision integration alternatives

About Lark

Use Lark within Latenode to centralize team comms & automate notifications based on workflow triggers. Aggregate messages, streamline approvals, and post updates to specific channels. Benefit from Latenode's visual editor and logic tools for advanced routing that keeps everyone informed and aligned.

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 Lark and OpenAI Vision

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

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

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

Can I analyze images sent via Lark and respond automatically?

Yes, you can analyze images in Lark messages using OpenAI Vision and send automated responses. Latenode simplifies this with visual workflows, combining no-code blocks and custom JavaScript for advanced AI processing.

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

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

  • Automatically classify images received in Lark channels.
  • Extract text from screenshots shared in Lark.
  • Moderate image content posted in Lark group chats.
  • Summarize visual data for reporting within Lark.
  • Detect objects in images and send notifications to Lark.

How does Latenode enhance my Lark automation capabilities?

Latenode extends Lark by enabling complex workflows with OpenAI Vision. Scale your automation with advanced logic, AI, and custom code for personalized experiences.

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

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

  • OpenAI Vision's processing time can vary based on image complexity.
  • High volumes of image analysis may impact your OpenAI Vision API usage.
  • Real-time analysis of video streams from Lark is not directly supported.

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