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

Add the Caption AI Node
Select the Caption AI node from the app selection panel on the right.

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

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Authenticate Microsoft SQL Server
Now, click the Microsoft SQL Server node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Microsoft SQL Server settings. Authentication allows you to use Microsoft SQL Server through Latenode.
Configure the Caption AI and Microsoft SQL Server 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 Caption AI and Microsoft SQL Server 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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Save and Activate the Scenario
After configuring Caption AI, Microsoft SQL Server, 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 Caption AI and Microsoft SQL Server integration works as expected. Depending on your setup, data should flow between Caption AI and Microsoft SQL Server (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Caption AI and Microsoft SQL Server
Caption AI + Microsoft SQL Server + Slack: When a new AI-generated video caption is created, it's stored in Microsoft SQL Server. Then, a notification is sent to a designated Slack channel to alert the marketing team for review.
Microsoft SQL Server + Caption AI + Google Sheets: When new data is added to a Microsoft SQL Server table, a summary is generated using Caption AI. This summary is then saved to a Google Sheet for reporting purposes.
Caption AI and Microsoft SQL Server integration alternatives
About Caption AI
Caption AI in Latenode streamlines content creation. Generate captions from images or videos directly within your workflows. Automate social media posting, ad campaigns, or content archiving. Latenode's visual editor and flexible integrations reduce manual work and allow for personalized, automated caption generation at scale, without code.
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About Microsoft SQL Server
Use Microsoft SQL Server in Latenode to automate database tasks. Directly query, update, or insert data in response to triggers. Sync SQL data with other apps; simplify data pipelines for reporting and analytics. Build automated workflows without complex coding to manage databases efficiently and scale operations.
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FAQ Caption AI and Microsoft SQL Server
How can I connect my Caption AI account to Microsoft SQL Server using Latenode?
To connect your Caption AI account to Microsoft SQL Server on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Caption AI and click on "Connect".
- Authenticate your Caption AI and Microsoft SQL Server accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I analyze caption sentiment and store results?
Yes, you can! Latenode allows real-time sentiment analysis, storing scores in Microsoft SQL Server. Automate insights and improve your content strategy with ease, leveraging Latenode's flexibility.
What types of tasks can I perform by integrating Caption AI with Microsoft SQL Server?
Integrating Caption AI with Microsoft SQL Server allows you to perform various tasks, including:
- Storing caption creation dates alongside analytics data in a database.
- Triggering database updates based on Caption AI output quality scores.
- Archiving AI-generated captions for regulatory compliance purposes.
- Creating custom reports combining caption insights and business metrics.
- Automating data backups of AI-generated content to a secure server.
What data can I access from Caption AI on Latenode?
Latenode allows access to caption text, sentiment scores, and creation metadata. Use this data for analysis and reporting.
Are there any limitations to the Caption AI and Microsoft SQL Server integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large-scale data transfers may be subject to rate limits.
- Complex data transformations might require custom JavaScript code.
- Real-time synchronization depends on the API availability of both apps.