AWS Transcribe Automation for Speech-to-Text Processing

This n8n workflow automates the process of managing AWS Transcribe jobs for converting audio media into text. It is designed for seamless integration with AWS Transcribe, enabling users to create, retrieve, and delete transcription jobs through a webhook trigger. The workflow starts with an MCP trigger that listens for incoming requests, allowing external systems or AI agents to initiate transcription tasks. Users can automate the creation of transcription jobs by specifying media file URLs, language codes, and job names using dynamic expressions. Additionally, the workflow supports fetching details of individual or multiple transcription jobs, making it easy to monitor ongoing or completed transcriptions. This automation is particularly useful for workflows where speech data needs to be transcribed efficiently—such as podcasts, interviews, or customer service recordings—without manual intervention.