Connect Speechify and MYSQL to Build Intelligent Automations
Enable Integrations or automations with these events of Speechify and MYSQL
Enable Integrations or automations with these events of Speechify and MYSQL
Actions
Create Speech
Gets the speech data for the given input
Find row(s) from a table
Find row(s) via a lookup column.
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.
Update row(s) in a table
Update any existing row in the given table.
Delete row
Deletes row from a table.
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Frequently Asked Questions
To start, connect both your Speechify and MYSQL accounts to viaSocket. Once connected, you can set up a workflow where an event in Speechify triggers actions in MYSQL (or vice versa).
Absolutely. You can customize how Speechify data is recorded in MYSQL. This includes choosing which data fields go into which fields of MYSQL, setting up custom formats, and filtering out unwanted information.
The data sync between Speechify and MYSQL 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 Speechify and MYSQL. 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 Speechify
Speechify is a leading text-to-speech platform that transforms written content into spoken words, making it easier for users to consume information through audio. It is designed to assist individuals with reading difficulties, busy professionals, and anyone who prefers listening over reading. With a variety of voices and languages, Speechify enhances accessibility and productivity.
Learn MoreAbout MYSQL
MySQL is an open-source relational database management system (RDBMS) that uses Structured Query Language (SQL) for managing and querying data. It is widely used for its speed, reliability, and flexibility in handling large-scale database applications. MySQL is commonly employed in web development and is a key component of the popular LAMP stack (Linux, Apache, MySQL, PHP/Perl/Python).
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