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Automatically categorize and prioritize ReachInbox messages by analyzing image attachments using OpenAI Vision. Latenodeβs visual editor and affordable execution pricing make it easier than ever to automate intelligent lead qualification.
Connect ReachInbox and OpenAI Vision in minutes with Latenode.
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In the workspace, click the βCreate New Scenarioβ button.

Add the first node β a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a ReachInbox, triggered by another scenario, or executed manually (for testing purposes). In most cases, ReachInbox or OpenAI Vision will be your first step. To do this, click "Choose an app," find ReachInbox or OpenAI Vision, and select the appropriate trigger to start the scenario.

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

ReachInbox
Click on the ReachInbox node to configure it. You can modify the ReachInbox URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Next, click the plus (+) icon on the ReachInbox node, select OpenAI Vision from the list of available apps, and choose the action you need from the list of nodes within OpenAI Vision.

ReachInbox
β
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.
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Use various Latenode nodes to transform data and enhance your integration:

JavaScript
β
AI Anthropic Claude 3
β
OpenAI Vision
Trigger on Webhook
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ReachInbox
β
β
Iterator
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Webhook response
After configuring ReachInbox, OpenAI Vision, and any additional nodes, donβt 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.
Run the scenario by clicking βRun onceβ and triggering an event to check if the ReachInbox and OpenAI Vision integration works as expected. Depending on your setup, data should flow between ReachInbox and OpenAI Vision (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
ReachInbox + Slack: When a new lead is added to ReachInbox, their details are used to find the corresponding user in Slack and send them a direct message.
Google Sheets + ReachInbox: When a new row is added to Google Sheets, ReachInbox adds an email to the specified campaign. This facilitates managing email campaigns directly from a spreadsheet.
About ReachInbox
ReachInbox + Latenode: Automate cold outreach & personalize follow-ups at scale. Trigger campaigns from new leads, scraped data, or CRM updates. Latenode manages complex logic (filtering, scheduling, AI content creation) while ReachInbox handles email sending. Optimize deliverability and engagement in automated workflows.
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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 ReachInbox account to OpenAI Vision using Latenode?
To connect your ReachInbox account to OpenAI Vision on Latenode, follow these steps:
Can I analyze ReachInbox images with OpenAI Vision?
Yes, you can! Latenode simplifies this by allowing direct data transfer. Analyze images from ReachInbox in real-time, extract key insights, and automate follow-up actions,boostingefficiency.
What types of tasks can I perform by integrating ReachInbox with OpenAI Vision?
Integrating ReachInbox with OpenAI Vision allows you to perform various tasks, including:
How does Latenode enhance ReachInbox's automation capabilities?
Latenode adds advanced logic, AI, and custom code blocks, expanding ReachInbox's capabilities beyond basic rules, for complex, automated workflows.
Are there any limitations to the ReachInbox and OpenAI Vision integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: