How to connect PostgreSQL and Captions
Create a New Scenario to Connect PostgreSQL and Captions
In the workspace, click the βCreate New Scenarioβ button.

Add the First Step
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 PostgreSQL, triggered by another scenario, or executed manually (for testing purposes). In most cases, PostgreSQL or Captions will be your first step. To do this, click "Choose an app," find PostgreSQL or Captions, and select the appropriate trigger to start the scenario.

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


PostgreSQL

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


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Authenticate Captions
Now, click the Captions node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Captions settings. Authentication allows you to use Captions through Latenode.
Configure the PostgreSQL and Captions 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 PostgreSQL and Captions 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 donβt 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.

JavaScript
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AI Anthropic Claude 3
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Captions
Trigger on Webhook
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PostgreSQL
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Iterator
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Webhook response

Save and Activate the Scenario
After configuring PostgreSQL, Captions, 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.
Test the Scenario
Run the scenario by clicking βRun onceβ and triggering an event to check if the PostgreSQL and Captions integration works as expected. Depending on your setup, data should flow between PostgreSQL and Captions (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect PostgreSQL and Captions
Captions + Google Drive + PostgreSQL: When a new video transcript is generated in Captions, it's automatically saved to a specified folder in Google Drive. The file's metadata, including the Google Drive file ID, is then indexed in a PostgreSQL database for easy searching and retrieval.
Captions + PostgreSQL + Slack: When a new transcript becomes available in Captions after a video is processed, a record is created or updated in PostgreSQL to store transcript information. A message is then sent to a designated Slack channel, notifying the team about the new transcript and providing a link or relevant details from the PostgreSQL record.
PostgreSQL and Captions integration alternatives

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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About Captions
Need accurate, automated captions for videos? Integrate Captions with Latenode to generate and sync subtitles across platforms. Automate video accessibility for marketing, training, or support. Latenode adds scheduling, file handling, and error control to Captions, making scalable captioning workflows simple and efficient.
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FAQ PostgreSQL and Captions
How can I connect my PostgreSQL account to Captions using Latenode?
To connect your PostgreSQL account to Captions on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select PostgreSQL and click on "Connect".
- Authenticate your PostgreSQL and Captions accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically update Captions based on PostgreSQL data changes?
Yes, you can! Latenode's real-time triggers enable seamless updates. Automatically refresh Captions data whenever relevant entries change in your PostgreSQL database, ensuring always up-to-date content.
What types of tasks can I perform by integrating PostgreSQL with Captions?
Integrating PostgreSQL with Captions allows you to perform various tasks, including:
- Automatically generate Captions videos from data stored in PostgreSQL.
- Create reports in Captions based on PostgreSQL database queries.
- Sync PostgreSQL data with Captions analytics for better insights.
- Trigger Captions video creation when new entries are added to PostgreSQL.
- Update existing Captions videos based on changes made in PostgreSQL.
How does Latenode handle large PostgreSQL datasets with Captions?
Latenode's architecture is designed for scalability. Process large PostgreSQL datasets with Captions efficiently using batch processing and optimized data flows.
Are there any limitations to the PostgreSQL and Captions integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex data transformations may require JavaScript coding.
- Rate limits of the Captions API can affect high-volume workflows.
- Initial setup requires a basic understanding of PostgreSQL database structure.