Actions9
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Audio → Transcribe a Recording
AI-generatedSummary
Transcribe audio recordings into text by providing either URLs to audio files or binary audio data input.
Inputs
- Project ID (required) — Google Cloud Platform project ID to use for the request.
- Model (required) — The Vertex AI model ID to use for transcription, selectable from a filtered list or by entering a model ID directly.
- Input Type (required) — Choose between providing Audio URL(s) or Binary File(s) as the audio input.
- URL(s) — Comma-separated list of public URLs pointing to audio files to transcribe, required if Input Type is Audio URL(s).
- Input Data Field Name(s) — Comma-separated binary property names containing audio files to transcribe, required if Input Type is Binary File(s).
- Simplify Output — Whether to return a simplified transcription response or the full raw API response, defaults to simplified.
- Options — Optional transcription parameters, including Start Time and End Time to specify audio segments in MM:SS or HH:MM:SS format.
Output shape
a list of transcription candidates when simplified; otherwise a single full response object
If "Simplify Output" is enabled, each candidate transcription is returned as a separate item. Otherwise, the complete API response is returned as one item. Multiple audio inputs are processed and returned in the same manner.
Examples
Example 1: Transcribe audio files by URL
Set Resource to Audio, Operation to Transcribe, enter Project ID, select Model, choose Input Type 'Audio URL(s)', and provide one or more comma-separated URLs of audio recordings.
Example 2: Transcribe audio binaries
Set Resource to Audio, Operation to Transcribe, enter Project ID, select Model, choose Input Type 'Binary File(s)', and specify the binary property name(s) from previous node data.