Connect Speechmatics and applysis to Build Intelligent Automations
Enable Integrations or automations with these events of Speechmatics and applysis
Enable Integrations or automations with these events of Speechmatics and applysis
Triggers
New Job
Triggered when a new job is created in speechmatics.
Actions
Get Job
Get job details, including progress and any error reports.
Create Job
Create a new job.
Get the usage statistics
Get the usage statistics of speechmatics.
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Frequently Asked Questions
To start, connect both your Speechmatics and applysis accounts to viaSocket. Once connected, you can set up a workflow where an event in Speechmatics triggers actions in applysis (or vice versa).
Absolutely. You can customize how Speechmatics data is recorded in applysis. This includes choosing which data fields go into which fields of applysis, setting up custom formats, and filtering out unwanted information.
The data sync between Speechmatics and applysis 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 Speechmatics and applysis. 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 Speechmatics
Speechmatics is a leading provider of automatic speech recognition technology, offering advanced solutions for converting spoken language into text. Their platform is designed to support a wide range of languages and dialects, making it ideal for businesses and developers looking to integrate speech-to-text capabilities into their applications. With a focus on accuracy and speed, Speechmatics serves industries such as media, telecommunications, and customer support, providing tools that enhance accessibility and improve communication.
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About applysis
Applysis is a web platform that analyses the customer feedback in bulk with the help of AI.
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