Manual audio transcription from S3 via AWS Transcribe

Manual audio transcription from S3 via AWS Transcribe

# Manual audio transcription from S3 using AWS Transcribe

This automation converts audio recordings into text using AWS Transcribe. Ideal for users who regularly handle interviews, podcasts, or meetings and want to eliminate manual transcription.

## Who it´s for
- Podcast owners automating episode transcription
- Journalists processing interview recordings
- Companies maintaining meeting audio logs
- HR departments storing interview recordings
- Project teams analyzing voice data

## What the automation does
- Manually triggered on demand
- Retrieves a list of audio files from a specified AWS S3 bucket
- Sends each file to AWS Transcribe for speech recognition
- Outputs textual transcription linked to the original file
- Ready for integration with follow-up actions (e.g., saving to database or sending notifications)

## What´s included
- Ready-to-use n8n workflow
- Trigger and handler logic
- Integrations with AWS S3 and AWS Transcribe
- Basic written instructions for setup and adaptation

## Requirements for setup
- AWS account with access to S3 and Transcribe
- Configured IAM keys with required permissions
- Access to an n8n instance (cloud or self-hosted)
- Designated S3 bucket with audio files in supported formats

## Benefits and outcomes
- Saves time on manual transcription
- Fast access to text versions of audio
- Reduces errors from manual input
- Scalable — one process handles multiple files
- Compatible with enterprise AWS data storage standards
- Easy to reuse for new recordings

## Important: template only
Important: you are purchasing a ready-made automation workflow template only. Rollout into your infrastructure, connecting specific accounts and services, 1:1 setup help, custom adjustments for non-standard stacks and any consulting support are provided as a separate paid service at an individual rate. To discuss custom work or 1:1 help, contact via chat