Transcribe Audio File
Transcribe audio or video files into text
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Transcribe audio or video files into text
Last updated
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When configuring a Transcription Step, there are two main pieces to consider:
Selecting the best transcription model for your use-case
How to pass your audio file to AirOps
Once you're ready to get started, you can click the "Configure" button of your Transcription Step to set these values.
AirOps offers 5 transcription models at this time:
: fast, reliable transcription that includes built-in diarization (speaker identification). With the ability to auto detect language or set the language
: the fastest model to-date
: provides the best overall value
: higher accuracy and better word recognition. With the ability to auto detect language or set the language
: With the ability to select the number of speakers expected in a transcript, AssemblyAI is an excellent choice for diarization
Keep in mind: Deepgram has a 2GB file size limit and AssemblyAI has a 5GB file size limit
There are currently two methods for passing your audio or video files into AirOps.
In the Start Step of your Workflow, define your Workflow Input as "File Media"
Add the input as the File to transcribe
Within Google Drive, configure your audio or video file so that "Anyone with the link" can view:
Add an input with the variable name google_drive_link
Add a code step with the following Javascript to convert the shareable URL from Google Drive into a downloadable URL:
Add the output of the code step as the File to transcribe
If selected, the model will automatically detect multiple speakers. This will result in the following outputs from the model.
Speaker 0:
Speaker 1:
Speaker 0:
Speaker A:
Speaker B:
Speaker A:
Check to automatically detect the language of the file
If Detect Language? is unchecked, you can specify the language you want to detect.
Not all models support multiple languages. Check out the documentation of each model below to determine which languages are supported
