Deepgram Core Workflow A: Pre-recorded Transcription

Examples

Upload a short synthetic or licensed audio fixture to the development workflow, validate transcript format, timestamps, language/model choice, and error handling, then remove the artifact according to retention policy. Do not use customer recordings for a tutorial or log raw transcript text when a correlation ID and aggregate result suffice.

Overview

Production pre-recorded transcription service using Deepgram's REST API. Covers transcribeUrl and transcribeFile, speaker diarization, audio intelligence (summarization, topic detection, sentiment, intent), batch processing with concurrency control, and callback-based async transcription for large files.

Prerequisites

• @deepgram/sdk installed, DEEPGRAM_API_KEY configured
• Audio files: WAV, MP3, FLAC, OGG, M4A, or WebM
• For batch: p-limit package (npm install p-limit)

Instructions

Step 1: Transcription Service Class