Connect Dolby and Labelf to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Dolby
Choose an Action
Automatically do this!
- Request a new Action for Labelf
Enable Integrations or automations with these events of Dolby and Labelf
Enable Integrations or automations with these events of Dolby and Labelf
Actions
Update Webhook
Update the previously registered webhook configuration.
Register Webhook
Register a webhook that is triggered when a job completes.
Start Enhancing
Start enhancing to improve your media.
Delete Webhook
Delete a previously registered webhook configuration.
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Frequently Asked Questions
To start, connect both your Dolby and Labelf accounts to viaSocket. Once connected, you can set up a workflow where an event in Dolby triggers actions in Labelf (or vice versa).
Absolutely. You can customize how Dolby data is recorded in Labelf. This includes choosing which data fields go into which fields of Labelf, setting up custom formats, and filtering out unwanted information.
The data sync between Dolby and Labelf 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 Dolby and Labelf. 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 Dolby
Dolby.io provides advanced audio and video processing solutions for developers, enabling them to integrate high-quality media experiences into their applications. With a focus on enhancing communication and media playback, Dolby.io offers APIs and SDKs for real-time audio and video streaming, media processing, and more.
Learn MoreAbout Labelf
Labelf is an advanced AI-driven platform designed to streamline and enhance the process of labeling and annotating data. It leverages cutting-edge machine learning algorithms to provide accurate and efficient data labeling solutions, making it an essential tool for data scientists, machine learning engineers, and AI researchers.
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