Connect Mux and metatext to Build Intelligent Automations
Enable Integrations or automations with these events of Mux and metatext
Enable Integrations or automations with these events of Mux and metatext
Triggers
Assets Created
Triggered when a new assets created.
Transcription Vocablaries Created
Triggered when the Transcription Vocablaries Created.
Actions
Create Assets
Creates a new Asset.
Create a Playback ID
Creates a new Playback ID.
Create a Transcription Vocabulary
Creates a new Transcription Vocabulary
Delete Transcription Vocabulary
Delete a Transcription Vocabulary.
Update Transcription Vocabulary
Update a Transcription Vocabulary.
Delete Asset
Delete a Asset by it's ID.
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Frequently Asked Questions
To start, connect both your Mux and metatext accounts to viaSocket. Once connected, you can set up a workflow where an event in Mux triggers actions in metatext (or vice versa).
Absolutely. You can customize how Mux data is recorded in metatext. This includes choosing which data fields go into which fields of metatext, setting up custom formats, and filtering out unwanted information.
The data sync between Mux and metatext 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 Mux and metatext. 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 Mux
Mux is a powerful platform designed to provide video infrastructure for developers. It offers tools and APIs to help developers build high-quality video experiences, including video streaming, hosting, and analytics. Mux simplifies the process of integrating video into applications, making it easier for developers to deliver seamless video content to their users.
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About metatext
Metatext is a easy to use AI tool to create and manage robust language models for classification, extraction and generation tasks.
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