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.
AssemblyAI
and select the AssemblyAI app.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
.
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.