Connect Auphonic and AWS to Build Intelligent Automations

Choose a Trigger

Auphonic

When this happens...

Choose an Action

AWS

Automatically do this!

Enable Integrations or automations with these events of Auphonic and AWS

Enable Integrations or automations with these events of Auphonic and AWS

Actions

Delete a Preset

Delete a Preset

Delete a preset by its uuid.

Get a Production

Get a Production

Get a production details by its uuid.

Upload File to S3

Upload File to S3

Upload a file to a specified S3 bucket.

Run Custom AWS Action

Run Custom AWS Action

Run a custom AWS action using provided inputs.

Request a new Action for Auphonic

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Frequently Asked Questions

How do I start an integration between Auphonic and AWS?

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

Can we customize how data from Auphonic is recorded in AWS?

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

How often does the data sync between Auphonic and AWS?

The data sync between Auphonic and AWS 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 Auphonic to AWS?

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 Auphonic and AWS?

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

Auphonic

About Auphonic

The Auphonic web service analyzes your content and performs automatic audio post production encoding to multiple file formats with correct metadata tagging and chapter marks.

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AWS

About AWS

AWS (Amazon Web Services) is a comprehensive cloud computing platform offering a wide range of services including computing power, storage options, and networking capabilities. It is designed to help businesses scale and grow by providing reliable and secure cloud solutions.

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