How to connect Caption AI and PostgreSQL
Create a New Scenario to Connect Caption AI and PostgreSQL
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 PostgreSQL will be your first step. To do this, click "Choose an app," find Caption AI or PostgreSQL, 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 PostgreSQL Node
Next, click the plus (+) icon on the Caption AI node, select PostgreSQL from the list of available apps, and choose the action you need from the list of nodes within PostgreSQL.

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Authenticate PostgreSQL
Now, click the PostgreSQL node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your PostgreSQL settings. Authentication allows you to use PostgreSQL through Latenode.
Configure the Caption AI and PostgreSQL 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 PostgreSQL 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 Caption AI, PostgreSQL, 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 PostgreSQL integration works as expected. Depending on your setup, data should flow between Caption AI and PostgreSQL (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 PostgreSQL
Caption AI + PostgreSQL + Slack: When Caption AI completes a video generation request, the generated caption is stored in a PostgreSQL database, and a notification is sent to a specified Slack channel.
PostgreSQL + Caption AI + Google Sheets: When a new or updated caption is added to a PostgreSQL database, its length is analyzed. If the length exceeds a threshold, Caption AI is used to improve it, and the original and improved captions are logged in a Google Sheet.
Caption AI and PostgreSQL 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 PostgreSQL
Use PostgreSQL in Latenode to automate database tasks. Build flows that react to database changes or use stored data to trigger actions in other apps. Automate reporting, data backups, or sync data across systems without code. Scale complex data workflows easily within Latenode's visual editor.
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FAQ Caption AI and PostgreSQL
How can I connect my Caption AI account to PostgreSQL using Latenode?
To connect your Caption AI account to PostgreSQL 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 PostgreSQL accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically back up Caption AI-generated captions to PostgreSQL?
Yes, you can! Latenode allows automated backups, ensuring data safety and analysis. Schedule regular saves or trigger backups based on specific Caption AI events.
What types of tasks can I perform by integrating Caption AI with PostgreSQL?
Integrating Caption AI with PostgreSQL allows you to perform various tasks, including:
- Store generated captions securely for compliance and audit trails.
- Analyze caption performance using SQL queries and custom dashboards.
- Trigger database updates based on sentiment analysis of captions.
- Create a searchable archive of all generated caption data.
- Combine caption data with other business intelligence sources.
How easily can I manage error handling for failed Caption AI requests?
Latenode simplifies error handling with built-in try/catch blocks and notification options. Get alerted instantly and retry failed requests automatically.
Are there any limitations to the Caption AI and PostgreSQL integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex SQL queries may require advanced database knowledge.
- Large data transfers could impact workflow execution speed.
- Caption AI's API rate limits still apply within Latenode workflows.