Deepgram-hosted and GPU-optimized deployment of OpenAI Whisper models. Provides the Whisper model family through Deepgram's API with faster inference, higher uptime SLA, and seamless integration with Deepgram's post-processing features.
Transcript will appear here in real-time as you speak…
Whisper accuracy with Deepgram's optimized GPU infrastructure
Enterprise SLA and uptime guarantees for production workloads
Drop-in replacement compatible with Deepgram's feature ecosystem
Transcribe meetings in real-time with speaker identification and punctuation.
Analyze customer calls at scale with sentiment detection and keyword spotting.
Convert audio and video libraries into searchable text archives.
Provide real-time captions for broadcasts, presentations, and live events.
// Deepgram Whisper Cloud — Speech-to-Text
import { transcribe } from "@arkitekton/voice";
const result = await transcribe({
model: "vm-dg-003",
vendor: "deepgram",
audio: audioFile,
language: "en",
options: {
punctuate: true,
diarize: true,
smart_format: true,
},
});
console.log("Transcript:", result.text);
console.log("Confidence:", result.confidence);End-to-end deep learning ASR and TTS built for developers