Batch Create AWS Transcribe Jobs for S3 Audio/Video Files
Automates creating transcription jobs in AWS Transcribe for all audio/video files in an S3 bucket using a manual trigger.
This workflow streamlines media transcription by fetching all files from a specified AWS S3 bucket and automatically generating transcription jobs via AWS Transcribe for each one. It supports language detection and customizes job names based on file keys, making it ideal for bulk processing without manual intervention.
Key benefits include significant time savings for users managing large media libraries, scalability for growing content volumes, and seamless integration between AWS services. No coding is required—just configure credentials and bucket details.
Use cases: Podcast producers transcribing episodes stored in S3, video creators generating subtitles, researchers processing interview recordings, or businesses automating compliance transcripts from meetings. Enhance productivity by turning hours of manual setup into a single workflow execution.
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How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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