Connect PostgreSQL and Conversion to Build Intelligent Automations
Ready to use PostgreSQL and Conversion automations
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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
Postgresql (mutiple table)
Get all the data, which was updated in last 15 min, from all the table provided.
Do thisActions
Action is the task that follows automatically within your PostgreSQL integrations.
Execute a Query (advanced)
You can select, create, update or delete row(s) of table via custom SQL query.
Insert row
Adds a new row into the table.
Extract and Text from Document/Image URL
Extracts and converts text from PDF, DOC, or image URLs into readable text content.
Generate Image from text prompt
Generates Image from given text prompt.
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Frequently Asked Questions
To start, connect both your PostgreSQL and Conversion accounts to viaSocket. Once connected, you can set up a workflow where an event in PostgreSQL triggers actions in Conversion (or vice versa).
Absolutely. You can customize how PostgreSQL data is recorded in Conversion. This includes choosing which data fields go into which fields of Conversion, setting up custom formats, and filtering out unwanted information.
The data sync between PostgreSQL and Conversion typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between PostgreSQL and Conversion. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
About Conversion
Conversion enables seamless conversion of various document formats (PDF, DOC) and images into text. Simply provide a URL for your PDF, DOC, or image file, and the plug will extract and convert the content into readable text. Ideal for users looking to quickly transform content from documents and images into an editable format for further processing or analysis.
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