Start Job
transcribe.start_transcription_job
ActionAmazon Web Servicesconnection required
Calls the AWS transcribe API (SigV4).
Start a speech-to-text job over media in S3.
Connection
- Required
- Yes — the node will not save without one
- Auth type
- API key
- Providers
- Amazon Transcribe
- Secret shape
- {"access_key_id", "secret_access_key"}
- Config it needs
- region
- Resolved by
- config.connection_id, else node.connection_id
Configuration
5 fields, 2 required. A dotted path is a nested object and name[] an array of objects — the editor renders the same tree.
| Field | Type | Required | Default | Constraints | Example |
|---|---|---|---|---|---|
region AWS region (overrides the connection). | string | No | — | — | — |
job_name Unique job name. | string | Yes | — | — | — |
media_uri s3://… media file. | string | Yes | — | — | — |
language_code e.g. en-US, es-ES. | string | No | — | — | — |
output_bucket S3 bucket for the transcript. | string | No | — | — | — |
Output
One shape.
result
| Field | Type | Example |
|---|---|---|
job_name | string | — |
status | string | — |
{
"job_name": "",
"status": ""
}Notes
- Asynchronous — poll get_transcription_job until COMPLETED.
Related Amazon Transcribe nodes
See Start Job run in a workflow.
In a technical demo we add the Amazon Transcribe connection, drop the node on the canvas and let Workflow Health pre-flight it before the first real run.