Deepgram provides enterprise-grade voice AI infrastructure through flexible APIs designed for developers building speech-enabled applications. The platform delivers real-time and pre-recorded transcription capabilities with low latency processing under 300 milliseconds, making it suitable for live captioning, voice assistants, and conversational AI implementations. The service supports over 36 languages for speech recognition and includes features such as speaker diarization, smart formatting, automatic language detection, keyword boosting, and multichannel audio support.

The platform offers three core product lines. Speech-to-text APIs process both streaming and batch audio with models including Nova, Enhanced, and Base variants optimized for different accuracy and cost requirements. Text-to-speech capabilities through the Aura product generate responsive, natural-sounding voice output for high-throughput voicebots and conversational applications. The Voice Agent API provides a unified speech-to-speech interface for building LLM-powered agents that can listen, think, and speak with human-like intelligence, with built-in support for OpenAI and Anthropic language models.

Deepgram's architecture emphasizes scalability and deployment flexibility. Developers can access the platform through REST and WebSocket APIs with support for multiple programming languages via SDKs. The service offers self-hosted deployment options for organizations requiring on-premises installations to maintain data security and compliance. Billing operates on a per-second basis for audio processing and per-character for text-to-speech generation, with the platform supporting concurrent request limits that scale based on subscription tier.

Audio intelligence features extend beyond basic transcription to include topic detection, sentiment analysis, summarization, and deep search capabilities. The platform handles various audio formats and provides callbacks for asynchronous processing workflows. Custom model training allows organizations to optimize recognition for domain-specific terminology, accents, and unique use cases. Integration support with cloud platforms including AWS enables customers to deploy using Amazon EKS for container orchestration while maintaining data security with Amazon S3 storage.