Deepgram

Deepgram Flux adds word-level timestamps in API responses

Deepgram’s Flux model now returns word-level timestamps in its speech-to-text responses, including start and end times for each word in the transcript. The chan

Deepgram adds Claude Sonnet 5 to Voice Agent API, deprecates Sonnet 4

Deepgram introduced `claude-sonnet-5` as a managed Anthropic LLM in its Voice Agent API, offering improved reasoning and conversational quality for voice agents

Deepgram Self-Hosted June 2026 release adds Flux word-level timestamps and model metadata changes

Deepgram’s June 2026 self-hosted release (260630) introduces Flux word-level timestamps, fixes Spanish number formatting, expands number/currency formatting, an

Changelog | Product Enhancements

Deepgram integrates STT/TTS with Amazon Connect and Lex

Deepgram now supports integration with Amazon Connect and Amazon Lex, allowing organizations to replace AWS Transcribe and Polly with Deepgram's STT and TTS mod

Introducing Deepgram’s Voice Agent API

Deepgram introduced the Voice Agent API, a unified voice-to-voice API enabling enterprises to build LLM-powered AI agents for customer support and order taking.

Radiology speech recognition: dictation accuracy for diagnostic workflows

Deepgram introduced Nova-3 Medical, a radiology-specific speech-to-text API addressing up to 22% error rates in general-purpose models. Nova-3 Medical achieves

What Is Automatic Speech Recognition and How Does It Work?

Deepgram’s product marketing team published a comprehensive guide on automatic speech recognition (ASR) in 2026, detailing four model architectures (streaming c

Top APIs for Building Programmable Voice Agents: What the Stack Looks Like in Production

Your misbehaving agent is likely an audio quality problem

Deepgram argues that misbehaving voice agents typically result from poor audio quality rather than model or prompt flaws. Background noise causes transcription

Restaurants stack every audio quality problem at once, and Deepgram is fixing it

Deepgram addresses restaurant-specific audio challenges by introducing primary speaker identification in its speech-to-text model, using rolling enrollment wind

Conversational intelligence for enterprise sales: CRM pipelines, coaching, and revenue attribution

Deepgram’s blog post argues that conversation intelligence (CI) for sales teams fails unless the underlying speech-to-text (STT) layer delivers high accuracy on

Speaker Labels in STT Output: Formats, Configuration, and Accuracy for Multi-Speaker Audio

Deepgram published a technical guide explaining how speaker labels work in their Speech-to-Text API, comparing output formats across providers, and detailing co

Deepgram adds runtime speed and pronunciation controls to Aura-2 TTS

Deepgram’s Aura-2 TTS voices now support runtime speed (0.7x–1.5x) and pronunciation overrides via IPA notation in English and Spanish. Controls apply to batch,

Webinar en Vivo: Desarrollar Voice Agents listos para producción con Deepgram

Deepgram announced a technical webinar on July 7, 2026, focused on building voice agents ready for enterprise deployment in Spain. The session will cover real-t

Deepgram's Australia Endpoint Is Now Generally Available

Deepgram’s Australia endpoint is now generally available, enabling fully managed voice AI workloads with data processed and stored entirely within Australia. Th