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Automatically save transcriptions from Captions into a Database to analyze video performance. Latenode’s visual editor makes it easier to process data and trigger alerts based on insights, while keeping costs low with execution-based pricing.
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Create a New Scenario to Connect Captions and Database
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 Captions, triggered by another scenario, or executed manually (for testing purposes). In most cases, Captions or Database will be your first step. To do this, click "Choose an app," find Captions or Database, and select the appropriate trigger to start the scenario.
Add the Captions Node
Select the Captions node from the app selection panel on the right.
Captions
Configure the Captions
Click on the Captions node to configure it. You can modify the Captions URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Database Node
Next, click the plus (+) icon on the Captions node, select Database from the list of available apps, and choose the action you need from the list of nodes within Database.
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Database
Authenticate Database
Now, click the Database node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Database settings. Authentication allows you to use Database through Latenode.
Configure the Captions and Database 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 Captions and Database Integration
Use various Latenode nodes to transform data and enhance your integration:
JavaScript
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AI Anthropic Claude 3
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Database
Trigger on Webhook
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Captions
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Iterator
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Webhook response
Save and Activate the Scenario
After configuring Captions, Database, 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 Captions and Database integration works as expected. Depending on your setup, data should flow between Captions and Database (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Captions + Database + Google Sheets: Store caption text and associated analytics data into a database. Weekly, retrieve the top-performing captions from the database and summarize them in a Google Sheet for easy review.
Database + Captions + Slack: When new trending captions are detected in the database, use Captions to generate related content ideas, and then alert the marketing team about these trends and content suggestions in a Slack channel.
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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About Database
Use Database in Latenode to centralize data and build dynamic workflows. Pull data, update records, and trigger actions based on database changes. Automate inventory updates, CRM sync, or lead qualification, and orchestrate complex processes with custom logic, no-code tools, and efficient pay-per-use pricing.
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How can I connect my Captions account to Database using Latenode?
To connect your Captions account to Database on Latenode, follow these steps:
Can I automatically save new Captions transcripts to a database?
Yes, you can! Latenode’s visual editor makes this easy, even without code. Store transcripts for analysis, reporting, or training, unlocking data insights.
What types of tasks can I perform by integrating Captions with Database?
Integrating Captions with Database allows you to perform various tasks, including:
How do I handle large volumes of Captions data on Latenode?
Latenode scales efficiently to handle large data volumes. Use batch processing and data transformation blocks for optimal performance and reliability.
Are there any limitations to the Captions and Database integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: