Deepgram Reference Architecture
Implements scalable Deepgram transcription architectures for real-time and batch audio processing.
This skill provides a comprehensive suite of reference architectures for integrating Deepgram's AI transcription services into production environments. It offers ready-to-implement patterns for various workloads, including low-latency synchronous REST calls for short files, high-throughput asynchronous processing using BullMQ for batch jobs, and WebSocket proxies for real-time streaming. By including a hybrid router that automatically selects the optimal processing mode based on audio duration, this skill ensures enterprise-grade reliability and performance for complex transcription pipelines.
Key Features
01Synchronous REST pattern for rapid short-file transcription
02Asynchronous BullMQ worker system for scalable batch processing
03Hybrid routing logic for automated architectural selection based on duration
04Real-time WebSocket proxy for live audio streaming
05Built-in error handling and exponential backoff strategies
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Use Cases
01Automating bulk transcription for large-scale media archives
02Building transcription pipelines for enterprise call centers
03Developing real-time live captioning services for streaming platforms