Connect Captions and goyzer to Build Intelligent Automations

Choose a Trigger

Captions

When this happens...

Choose an Action

goyzer

Automatically do this!

Enable Integrations or automations with these events of Captions and goyzer

Enable Integrations or automations with these events of Captions and goyzer

Actions

Submit a video translation request

Submit a video translation request

Translates a video from one language to another

Request a new Action for Captions

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Frequently Asked Questions

How do I start an integration between Captions and goyzer?

To start, connect both your Captions and goyzer accounts to viaSocket. Once connected, you can set up a workflow where an event in Captions triggers actions in goyzer (or vice versa).

Can we customize how data from Captions is recorded in goyzer?

Absolutely. You can customize how Captions data is recorded in goyzer. This includes choosing which data fields go into which fields of goyzer, setting up custom formats, and filtering out unwanted information.

How often does the data sync between Captions and goyzer?

The data sync between Captions and goyzer typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.

Can I filter or transform data before sending it from Captions to goyzer?

Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.

Is it possible to add conditions to the integration between Captions and goyzer?

Yes, you can set conditional logic to control the flow of data between Captions and goyzer. 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.

Captions

About Captions

Captions is an AI powered video editor for vertical videos.

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goyzer

About goyzer

Goyzer Test Real estate management system is designed to help streamline business processes for the real estate sector primarily for Developers, Brokers and Property Managers in a single platform

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