IntegrationsCaptionsInfluxDB
Captions + InfluxDB

Connect Captions and InfluxDB to Build Intelligent Automations

Choose a Trigger

Captions

When this happens...

Choose an Action

InfluxDB

Automatically do this!

Enable Integrations or automations with these events of Captions and InfluxDB

Enable Integrations or automations with these events of Captions and InfluxDB

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 InfluxDB?

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

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

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

How often does the data sync between Captions and InfluxDB?

The data sync between Captions and InfluxDB 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 InfluxDB?

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 InfluxDB?

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

About InfluxDB

InfluxDB is a time series database designed to handle high write and query loads, making it ideal for storing and analyzing time-stamped data such as metrics, events, and analytics.

Learn More