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Automate database insights: Connect PostgreSQL to AI: Text-To-Speech for instant audio updates on key metrics or alerts. Latenode's low-code editor and affordable pricing make it easier than ever to create dynamic voice notifications from your data without complex coding, and scale as needed.
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Create a New Scenario to Connect PostgreSQL and AI: Text-To-Speech
In the workspace, click the โCreate New Scenarioโ button.
Add the First Step
Add the first node โ 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 AI: Text-To-Speech will be your first step. To do this, click "Choose an app," find PostgreSQL or AI: Text-To-Speech, 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 AI: Text-To-Speech Node
Next, click the plus (+) icon on the PostgreSQL node, select AI: Text-To-Speech from the list of available apps, and choose the action you need from the list of nodes within AI: Text-To-Speech.
PostgreSQL
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AI: Text-To-Speech
Authenticate AI: Text-To-Speech
Now, click the AI: Text-To-Speech node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your AI: Text-To-Speech settings. Authentication allows you to use AI: Text-To-Speech through Latenode.
Configure the PostgreSQL and AI: Text-To-Speech 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 AI: Text-To-Speech 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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AI: Text-To-Speech
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, AI: Text-To-Speech, and any additional nodes, donโt 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 โRun onceโ and triggering an event to check if the PostgreSQL and AI: Text-To-Speech integration works as expected. Depending on your setup, data should flow between PostgreSQL and AI: Text-To-Speech (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
PostgreSQL + AI: Text-To-Speech + Slack: When a new or updated row in PostgreSQL matches specific alert criteria defined in a custom query, the data from that row is converted into a spoken message using text-to-speech. This message is then sent to a designated Slack channel to alert staff.
PostgreSQL + AI: Text-To-Speech + Email: This automation generates audio summaries of PostgreSQL database reports and sends them to stakeholders via email. It executes a custom SQL query to retrieve report data, converts the data into a spoken message using text-to-speech, and then sends the audio file as an attachment via email.
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 AI: Text-To-Speech
Automate voice notifications or generate audio content directly within Latenode. Convert text from any source (CRM, databases, etc.) into speech for automated alerts, personalized messages, or content creation. Latenode streamlines text-to-speech workflows and eliminates manual audio tasks, integrating seamlessly with your existing data and apps.
Related categories
How can I connect my PostgreSQL account to AI: Text-To-Speech using Latenode?
To connect your PostgreSQL account to AI: Text-To-Speech on Latenode, follow these steps:
Can I generate spoken reports from database data?
Yes, you can! Latenode's visual editor makes this simple. Automatically convert PostgreSQL data into audio reports, perfect for accessibility or quick updates, without complex coding.
What types of tasks can I perform by integrating PostgreSQL with AI: Text-To-Speech?
Integrating PostgreSQL with AI: Text-To-Speech allows you to perform various tasks, including:
How does Latenode handle PostgreSQL connection security?
Latenode uses secure, encrypted connections for PostgreSQL, protecting your data with industry-standard security measures and robust access controls.
Are there any limitations to the PostgreSQL and AI: Text-To-Speech integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: