Automate Audio Transcription from S3 with AWS Transcribe
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Effortlessly transcribe audio files stored in AWS S3 using n8n. This workflow automatically retrieves audio from your S3 bucket and sends it to AWS Transcribe for accurate text generation.
About This Workflow
This n8n workflow streamlines the process of converting spoken audio into written text by leveraging the power of AWS Transcribe and AWS S3. When manually triggered, the workflow first connects to your specified S3 bucket to retrieve audio files. It then dynamically constructs a media file URI for each retrieved file, including its key from S3. This URI is passed to the AWS Transcribe node, where the transcription process is initiated. Key features include automatic language detection and the ability to dynamically name transcription jobs based on the audio file's key, ensuring organized and efficient audio-to-text conversion.
Key Features
- S3 File Retrieval: Automatically fetches audio files from your designated AWS S3 bucket.
- Dynamic Transcription Job Naming: Generates unique transcription job names based on the S3 file key for easy organization.
- Automatic Language Detection: Detects the language of the audio for more accurate transcription.
- Seamless Integration: Connects directly with AWS Transcribe for robust speech-to-text capabilities.
How To Use
- Manual Trigger: Start the workflow by clicking the 'execute' button on the manual trigger node.
- AWS S3 Node Configuration: Configure the 'AWS S3' node with your AWS credentials and specify the
bucketNamewhere your audio files are stored (e.g., 'n8n-docs'). Ensure theoperationis set to 'getAll' andreturnAlltotrueto retrieve all files. - AWS Transcribe Node Configuration: In the 'AWS Transcribe' node, ensure you have configured your AWS credentials. The
mediaFileUriparameter should be set to dynamically reference the S3 file using={{$node["AWS S3"].parameter["bucketName"]}}/{{$json["Key"]}}. ThetranscriptionJobNamecan be dynamically set using={{$json["Key"].replace(/\s/g,'-')}}to create a clean job name. EnabledetectLanguageif you want automatic language detection.
Apps Used
Workflow JSON
{
"id": "446c8ee8-2f3a-4cbf-889d-f343c0d43228",
"name": "Automate Audio Transcription from S3 with AWS Transcribe",
"nodes": 13,
"category": "Operations",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: 446c8ee8-2f3a...
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