Generate Multilingual Metadata from Audio Transcripts
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Automate the creation of structured metadata in English and Chinese by transcribing audio files stored in AWS S3.
About This Workflow
This workflow leverages AWS Transcribe to convert audio files into text and then structures this text into metadata. It is designed to generate metadata in both English and Chinese, making your content more accessible and searchable across different language barriers. The process starts by fetching audio files from an AWS S3 bucket and then feeding them to AWS Transcribe for language detection and transcription. The output can be further processed to create structured metadata.
Key Features
- Automatically transcribes audio files using AWS Transcribe.
- Supports automatic language detection.
- Generates transcription job names dynamically.
- Fetches files from an AWS S3 bucket.
- Designed to produce structured metadata in multiple languages (English and Chinese specified).
How To Use
- Trigger: The workflow is initiated by clicking the 'execute' button on the 'On clicking 'execute'' manual trigger node.
- Fetch Files: The 'AWS S3' node retrieves all files from the specified S3 bucket ('n8n-docs').
- Transcribe Audio: For each file retrieved from S3, the 'AWS Transcribe' node is triggered. It uses the file's S3 URI to perform transcription. The
detectLanguageparameter is set totrueto automatically identify the audio language. A unique transcription job name is generated from the file's key, replacing spaces with hyphens.
Note: This workflow snippet focuses on the transcription and doesn't include nodes for structuring the metadata. You would typically add nodes after 'AWS Transcribe' to parse the transcription results and format them into the desired multilingual metadata structure.
Apps Used
Workflow JSON
{
"id": "7bf89579-5357-45ff-917b-380e325cbebd",
"name": "Generate Multilingual Metadata from Audio Transcripts",
"nodes": 29,
"category": "Content Automation",
"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: 7bf89579-5357...
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