ManualTrigger Automate

ManualTrigger Automate enables users to effortlessly transcribe audio files stored in AWS S3 using AWS Transcribe. By simply clicking 'execute', it retrieves all media files from a specified S3 bucket and initiates transcription, streamlining the process of converting speech to text and enhancing productivity.

7/8/2025
3 nodes
Simple
manualsimpleawstranscribeawss3
Categories:
Manual TriggeredSimple WorkflowCloud Storage & File Management
Integrations:
AwsTranscribeAwsS3

Target Audience

This workflow is ideal for:
- Content creators looking to transcribe audio files stored in AWS S3.
- Developers and data engineers who need to automate transcription tasks without manual intervention.
- Businesses that require quick and accurate transcription of meetings, interviews, or lectures for documentation purposes.
- Researchers who need to analyze audio data efficiently by converting it into text format.

Problem Solved

This workflow addresses the challenge of manually transcribing audio files by automating the process through AWS Transcribe. It eliminates the need for manual transcription, saving time and effort, and ensures accuracy in converting spoken content into written format. Users can easily access and transcribe audio files from their AWS S3 bucket with just a click.

Workflow Steps

  • Manual Trigger: The workflow begins when the user clicks 'execute'. This action initiates the automated process.
    2. Fetch Audio Files from AWS S3: The workflow retrieves all audio files from a specified S3 bucket (n8n-docs). This operation returns all files, making them available for transcription.
    3. Transcribe Audio with AWS Transcribe: For each audio file retrieved, the workflow sends a request to AWS Transcribe to transcribe the audio. The transcription job is named based on the audio file's key, replacing spaces with hyphens, and the language is detected automatically. The transcription process converts the audio content into text format efficiently.

    • Customization Guide

    Users can customize this workflow by:
    - Changing the S3 Bucket: Modify the bucketName parameter in the AWS S3 node to point to a different bucket containing audio files.
    - Adjusting Transcription Settings: Users can customize the transcription job name format in the AWS Transcribe node by altering the string manipulation logic in the transcriptionJobName parameter.
    - Adding Additional Nodes: Integrate other nodes to further process the transcribed text, such as sending it to a database, an email, or another service for analysis.
    - Modifying Triggers: Replace the manual trigger with other triggers based on specific events, such as new file uploads to the S3 bucket.