Welcome to the Deepgram Community!
Deepgram’s community offers tons of resources to support you on your voice AI journey. Unsure where to start? Check out some of the resources below.
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This guide will deliver apples-to-apples cost models for three concrete workloads, Total-cost-of-ownership calculus, a decision matrix, and more! By the end, you’ll know exactly which vendor—and which plan—keeps speech-to-text costs predictable as your minutes climb from thousands to millions.
Real-time AI isn’t optional. It’s inevitable. This post explores why real-time AI is becoming the default, how it differs from batch and interactive AI, and the architectural choices required to lead in this category.
This article will introduce three of the most used and prominent speech recognition metrics: Word Error Rate (WER), Keyword Error Rate (KER), and Keyword Recognition Rate (KRR).
GPT-5 and GPT-OSS-20B are now live in the Deepgram Voice Agent API and Playground, giving developers more choice for reasoning depth, latency, cost efficiency, and open-source flexibility. Test them side-by-side, benchmark in your domain, and deploy instantly to production.
Deepgram Aura-2, the World’s Most Professional, Cost-Effective, and Enterprise-Grade Text-To-Speech Model, Recognized for Dramatically Improving Customer and Employee Experiences (CX and EX)
AI Agents for Healthcare Series: Part 1
