How PGA TOUR automated live profanity detection with AWS using Amazon Transcribe
Media Blog
This article describes how PGA TOUR automated live profanity detection for broadcast streams using Amazon Transcribe and AWS services, replacing expensive manual monitoring with an AI-powered solution.
- Real-time speech-to-text conversion with Amazon Transcribe detects profanity in live audio feeds automatically
- Architecture uses Amazon ECS on AWS Fargate to ingest, split, detect, and mute profanity in the broadcast pipeline
- Customizable word library of 1,500+ words tuned for golf context with exact and partial matching support
- Reduced annual costs from significant staffing to ~$1.50/hour; freed four staff members for creative roles
- Development completed in 2 weeks using AI-assisted coding with Claude in Amazon Bedrock
- Integrated into existing broadcast facility control system for seamless production workflow
The solution demonstrates how combining AWS AI services with modern streaming architectures enables automated content moderation while improving broadcast quality and operational efficiency.
The AWS News Feed is currently looking for gold sponsors. If you want to support the AWS community and reach a large audience of AWS professionals, consider sponsoring the AWS News Feed.
Related articles
2024
2024
2026
2026
The AWS News Feed is currently looking for silver sponsors. If you want to support the AWS community and reach a large audience of AWS professionals, consider sponsoring the AWS News Feed.