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Automatically analyze images shared in Slack using OpenAI Vision on Latenode. Route urgent cases to specific channels and scale affordably as your needs evolve with execution-based pricing and visual flow control.
Connect Slack and OpenAI Vision in minutes with Latenode.
Create Slack to OpenAI Vision workflow
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Slack
OpenAI Vision
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Create a New Scenario to Connect Slack and OpenAI Vision
In the workspace, click the โCreate New Scenarioโ button.
Add the First Step
Add the first node โ a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Slack, triggered by another scenario, or executed manually (for testing purposes). In most cases, Slack or OpenAI Vision will be your first step. To do this, click "Choose an app," find Slack or OpenAI Vision, and select the appropriate trigger to start the scenario.
Add the Slack Node
Select the Slack node from the app selection panel on the right.
Slack
Add the OpenAI Vision Node
Next, click the plus (+) icon on the Slack node, select OpenAI Vision from the list of available apps, and choose the action you need from the list of nodes within OpenAI Vision.
Slack
โ
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.
Configure the Slack 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 Slack and OpenAI Vision Integration
Use various Latenode nodes to transform data and enhance your integration:
JavaScript
โ
AI Anthropic Claude 3
โ
OpenAI Vision
Trigger on Webhook
โ
Slack
โ
โ
Iterator
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Webhook response
Save and Activate the Scenario
After configuring Slack, OpenAI Vision, and any additional nodes, donโt 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 โRun onceโ and triggering an event to check if the Slack and OpenAI Vision integration works as expected. Depending on your setup, data should flow between Slack and OpenAI Vision (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Slack + OpenAI Vision + Google Drive: When a new file is added to a Slack channel, analyze the image using OpenAI Vision (this action is not available). Then, save the analysis results in a new text file to Google Drive.
Slack + Jira: When a new file is added to a Slack channel, analyze the image using OpenAI Vision (this action is not available). If a critical error is identified, create a Jira issue and alert the team in Slack.
About Slack
Send Slack messages and automate channel updates directly from Latenode workflows. Get instant alerts on critical events, share data insights, or trigger actions based on user input. Centralize notifications and approvals by combining Slack with databases, CRMs, and AI models within a scalable, low-code environment.
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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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How can I connect my Slack account to OpenAI Vision using Latenode?
To connect your Slack account to OpenAI Vision on Latenode, follow these steps:
Can I automatically moderate images posted to Slack channels?
Yes, you can! Latenode enables real-time image moderation using OpenAI Vision. Flag inappropriate content and alert admins automatically, ensuring a safe Slack environment without manual checks.
What types of tasks can I perform by integrating Slack with OpenAI Vision?
Integrating Slack with OpenAI Vision allows you to perform various tasks, including:
How does Latenode handle Slack's rate limits for high-volume workflows?
Latenode provides built-in queueing and error handling to manage Slack's API rate limits, ensuring reliable automation even during peak usage.
Are there any limitations to the Slack and OpenAI Vision integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: