Automated Transcription of S3 Audio Files

This n8n workflow automates the process of transcribing audio files stored in an AWS S3 bucket. It begins with a manual trigger, allowing the user to initiate the process on demand. The workflow first retrieves all files from a specified S3 bucket, then utilizes AWS Transcribe to convert the audio content into text.

The process flow is as follows: when the user clicks ‘execute’, the workflow fetches all files from the ‘n8n-docs’ S3 bucket. Each file’s URI is constructed dynamically based on the bucket name and the file’s key. The AWS Transcribe node then uses this URI to start a transcription job, with language detection enabled, and assigns a name to each transcription based on the file’s key.

This setup is practical for scenarios where audio content stored in S3 needs to be transcribed automatically, such as for podcast recordings, interview archives, or customer service calls. By automating the retrieval and transcription, users can efficiently convert large volumes of audio data into accessible text documents, facilitating easier review, analysis, or publishing.