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Zapier Integration with AssemblyAI

Zapier is a workflow automation tool that lets you integrate various services together without requiring coding knowledge. You can use our AI models to process audio data by transcribing it with speech recognition models and analyzing it with audio intelligence models. You can supply audio to the AssemblyAI app and connect the output of our models to other services in your Zaps.

Quickstart​

  1. 1

    In your Zap editor, add an action, search for AssemblyAI and select the AssemblyAI app.

    Change action Zapier screen, with AssemblyAI in search box.

  2. 2

    Next, configure the action. In the App & event tab, select Transcribe for the Event dropdown, then click Continue.

    App & event Zapier tab with Event field set to "Transcribe".

  3. 3

    Then, in the Account tab, click Sign in which will open a separate window. In the window, enter your AssemblyAI API key in API Key field, and click Yes, Continue to AssemblyAI. Back in the Zap editor, click Continue.

    Account Zapier tab where you are prompted to Connect AssemblyAI with a Sign in button.

  4. 4

    In the Action tab, enter the URL of the audio or video file you want to transcribe in the Audio URL field. The URL has to be publicly accessible. Click Continue.

    Action Zapier tab where you are prompted to enter the Audio URL to transcribe using AssemblyAI.

  5. 5

    Finally, you can test the action. You can use all the fields returned by the action in subsequent steps.

    All AssemblyAI actions return sample data during testing instead of running the action. This makes it easier to build your Zaps, however, you have to test using normal Zap runs to verify everything is working correctly. Learn more about why we return sample data during testing below.

    Test Zapier tab where you can see the output of the AssemblyAI Transcribe action.

Zapier Actions​

Transcribe​

Transcribe an audio file and wait until the transcript has completed or failed. Configure the Audio URL field with the URL of the audio file you want to transcribe. The Audio URL must be accessible by AssemblyAI's servers.

If you don't want to wait until the transcript is ready, change the Wait until Transcript is Ready parameter to False.

Get Transcript​

Retrieves a transcript by its ID.

Get Transcript Subtitles​

Export the transcript as SRT or VTT subtitles.

note

You can only invoke this action after the transcript is completed.

Get Transcript Sentences​

Retrieve the sentences of the transcript by its ID.

note

You can only invoke this action after the transcript is completed.

Get Transcript Paragraphs​

Retrieve the paragraphs of the transcript by its ID.

note

You can only invoke this action after the transcript is completed.

Get Transcript Redacted Audio Result​

Get the result of the redacted audio model.

note

You can only invoke this action after the transcript is completed.

What about LeMUR?​

Unfortunately, the Zapier platform doesn't have the necessary features for us to reliably offer LeMUR, our LLM framework for speech understanding. We're looking at different avenues to add support in the future, but we have no timeline for when LeMUR support will be available.

Testing with sample data​

A transcript goes through multiple phases to transcribe audio, reflected by different statuses. The initial status is queued, immediately followed by processing, and the final status is either completed or error. During a normal Zap run, the Transcribe event will wait until the transcript status is completed, and throw an error if the status is error. Unfortunately, this is not the case during testing.

Because of a Zapier platform limitation, during testing, the Transcribe event will return a transcript with the queued status. A transcript that does not have the completed status cannot be used in subsequent tests.

This way you can easily test using sample data, but you still have to use normal Zap runs to verify the end-to-end functionality.

Additional resources​

You can learn more about using Zapier with AssemblyAI in these resources:

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