Connect Conversion and Cassandra to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Conversion
Choose an Action
Automatically do this!
- Request a new Action for Cassandra
Enable Integrations or automations with these events of Conversion and Cassandra
Enable Integrations or automations with these events of Conversion and Cassandra
Actions
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 Conversion and Cassandra accounts to viaSocket. Once connected, you can set up a workflow where an event in Conversion triggers actions in Cassandra (or vice versa).
Absolutely. You can customize how Conversion data is recorded in Cassandra. This includes choosing which data fields go into which fields of Cassandra, setting up custom formats, and filtering out unwanted information.
The data sync between Conversion and Cassandra 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 Conversion and Cassandra. 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.
Learn MoreAbout Cassandra
Apache Cassandra is a highly scalable, distributed NoSQL database designed to handle large amounts of data across many commodity servers, providing high availability with no single point of failure.
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