LLM-powered speech intelligence framework that applies large language models directly to audio transcripts. Enables summarization, question-answering, action item extraction, and custom analysis tasks over spoken content.
Transcript will appear here in real-time as you speak…
Apply LLM reasoning directly to audio content without manual prompting
Extracts action items, key decisions, and follow-ups from meetings
Reason across multiple transcripts for cross-meeting analysis
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.
// LeMUR — Speech-to-Text
import { transcribe } from "@arkitekton/voice";
const result = await transcribe({
model: "vm-aai-002",
vendor: "assemblyai",
audio: audioFile,
language: "en",
options: {
punctuate: true,
diarize: true,
smart_format: true,
},
});
console.log("Transcript:", result.text);
console.log("Confidence:", result.confidence);Speech intelligence APIs with LLM-powered understanding