Automate Audio Transcription with AWS Transcribe & S3 Using n8n

What This Workflow Does

This workflow takes audio files stored in an AWS S3 bucket and turns them into text automatically without any manual work needed.

It solves the problem of wasting hours transcribing audio by hand and having to deal with mistakes and delays.

After running the workflow, you get transcription jobs started in AWS Transcribe for each audio file.

Who Should Use This Workflow

This is for people who have lots of audio files saved in AWS S3 and need quick, accurate transcriptions.

It is especially useful for teams tired of downloading and uploading files again and again.

Anyone wanting to save time and cut human errors on transcription tasks will benefit.

Tools and Services Used

• n8n automation platform: Controls the workflow and connections.


• AWS S3: Stores audio files in a bucket.


• AWS Transcribe: Turns speech in audio into text.


• AWS credentials: Needed to access S3 and Transcribe.

How This Workflow Works

Inputs

The main input is the list of audio files stored in the specified AWS S3 bucket.

Processing Steps

• The workflow starts manually from the Manual Trigger node.


• Then the AWS S3 node fetches metadata of all audio files in the bucket.


• For each file found, the AWS Transcribe node creates a transcription job using the file's S3 URI.


• It lets AWS Transcribe figure out the language automatically.


• The transcription job name is made from the audio file name, replacing spaces with dashes for good format.


• No manual file download or upload is needed between services.

Output

The output is AWS Transcribe starting transcription jobs on the audio files.

Users can then check the AWS Transcribe console or automate further steps to collect transcripts.

Beginner Step-by-Step: How to Use This Workflow in n8n Production

Import the Workflow

1. Download the provided workflow file using the Download button on this page.


2. Open the n8n editor where you want to use this workflow.


3. Use the menu option Import from File to add this workflow.

Configure Credentials and Settings

1. Add AWS credentials that have permission to read S3 and start Transcribe jobs.


2. Update the AWS S3 node by entering the exact S3 bucket name with audio files.


3. Check the AWS Transcribe node to confirm the job naming and mediaFileUri expressions are correct for your bucket and files.

Test and Activate

1. Click “Execute” on the Manual Trigger node once to test the workflow.


2. Review logs to verify that transcription jobs start without errors.


3. When confirmed, activate the workflow in n8n to use anytime manually or connect to scheduled triggers.


4. If prefer to use self-host n8n, follow related setup before activating for production.

This simple process lets beginners get the transcription workflow running fast and reliably with minimal setup.

Customizations

• You can change where transcription results save by adding steps to send output files to a chosen S3 bucket or database.


• Adding a Filter node between AWS S3 and AWS Transcribe helps select only certain types like .mp3 or .wav files to process.


• Modify the transcription job name format to add dates or project codes for easier management.

Common Issues and Troubleshooting

Problem: "Access Denied or Bucket Not Found" error when running AWS S3 node.

Cause: The workflow uses a wrong bucket name or permissions are not enough for S3 access.

Solution: Double-check bucket name spelling and make sure AWS credentials can read from the bucket.

Problem: "Transcription job failed to start" message.

Cause: The mediaFileUri is not built correctly or Transcribe permissions are missing.

Solution: Confirm the mediaFileUri expression creates valid S3 paths and AWS credentials allow starting transcription jobs.

Pre-Production Checklist

• Make sure AWS credentials with S3 and Transcribe permissions are set properly in n8n.


• Confirm audio files are present in the set S3 bucket in formats supported by AWS Transcribe.


• Run the workflow manually once to check it works and jobs appear in AWS Transcribe console.


• Look for any errors or missing configuration before regular use.

Deployment Guide

Activate the workflow by saving it in n8n and executing the manual trigger node when transcription is needed.

To automate, swap the Manual Trigger with a scheduled trigger like cron to run periodically.

Watch AWS Transcribe jobs through the AWS console or add more nodes in n8n to fetch and handle transcriptions automatically.

Summary and Results

✓ Saves hours by replacing manual transcription with automated AWS services.

✓ Reduces mistakes common in human typing of audio content.

✓ Works hands-free without downloading or uploading files by hand.

→ Provides started AWS Transcribe jobs for all audio files in the specified S3 bucket.