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AWS serverless media transcription service using Lambda, S3, and Amazon Transcribe
Language: Python
AWS
Serverless
Lambda
Architecture Diagram
About
A serverless media transcription service built with AWS Lambda and Amazon Transcribe. This solution automatically processes audio files uploaded to S3, converts them to text using Amazon Transcribe, and stores the results back in S3. The architecture is event-driven, cost-effective, and scales automatically based on demand.
Key Features
- •Serverless architecture using AWS Lambda
- •Automatic transcription triggered by S3 upload events
- •Support for multiple audio formats (MP3, MP4, WAV, FLAC, etc.)
- •Amazon Transcribe integration for accurate speech-to-text
- •Automatic storage of transcription results in S3
- •Event-driven processing with S3 event notifications
- •Cost-effective pay-per-use pricing model
- •Scalable processing without server management
Technologies Used
Python
AWS Lambda
S3
Amazon Transcribe
CloudWatch
IAM
Boto3
Challenges & Solutions
- ⚡Configuring S3 event notifications to trigger Lambda functions
- ⚡Managing IAM permissions for cross-service access
- ⚡Handling different audio file formats and sizes
- ⚡Implementing error handling for transcription failures
Results & Impact
- ✓Fully automated audio-to-text transcription pipeline
- ✓Serverless architecture with automatic scaling
- ✓Cost-effective solution with no idle server costs
- ✓Easy deployment and maintenance with minimal infrastructure
Repository Information
Primary Language:Python
GitHub Repository:View Source Code