Connect Hastewire and Dubly.Ai to Build Intelligent Automations
Enable Integrations or automations with these events of Hastewire and Dubly.Ai
Enable Integrations or automations with these events of Hastewire and Dubly.Ai
Actions
Detect Text
Analyze input text to determine if it was AI-generated, returning an overall label and per-sentence probabilities.
Humanize Text
Make text sound more natural and human in the chosen style and language.
Create a Dub with URL
API Call to dub a video which is provided via public or presigned URL.
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Frequently Asked Questions
To start, connect both your Hastewire and Dubly.Ai accounts to viaSocket. Once connected, you can set up a workflow where an event in Hastewire triggers actions in Dubly.Ai (or vice versa).
Absolutely. You can customize how Hastewire data is recorded in Dubly.Ai. This includes choosing which data fields go into which fields of Dubly.Ai, setting up custom formats, and filtering out unwanted information.
The data sync between Hastewire and Dubly.Ai 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 Hastewire and Dubly.Ai. 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 Hastewire
Hastewire is a cutting-edge platform designed to streamline communication and enhance productivity for teams. With its robust features, it facilitates seamless collaboration and efficient project management, making it an essential tool for modern businesses.
Learn MoreAbout Dubly.Ai
Dubly.Ai is an innovative platform that leverages artificial intelligence to enhance audio and video content. It offers tools for audio enhancement, noise reduction, and voice modulation, making it ideal for content creators, podcasters, and video producers looking to improve the quality of their media outputs.
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