AssemblyAI vs
Deepgram Nova-2

import assemblyai as aai

aai.settings.api_key = "YOUR_ASSEMBLYAI_KEY"

def extract_meeting_action_items(audio_url: str):
    config = aai.TranscriptionConfig(
        speaker_labels=True,
        auto_chapters=True,
        sentiment_analysis=True
    )
    transcriber = aai.Transcriber()
    transcript = transcriber.transcribe(audio_url, config=config)

    # Invoke LeMUR LLM directly over audio context
    lemur_response = transcript.lemur.action_items(
        context="Executive sync with VP of Engineering discussing cloud egress budgets.",
        answer_format="Bullet points with owner names and deadlines"
    )

    return {
        "text": transcript.text,
        "action_items": lemur_response.response
    }

import { createClient } from "@deepgram/sdk";

const deepgram = createClient(process.env.DEEPGRAM_API_KEY);

async function transcribeCallWithTopics(audioUrl: string) {
  const { result, error } = await deepgram.listen.prerecorded.transcribeUrl(
    { url: audioUrl },
    {
      model: "nova-2",
      smart_format: true,
      diarize: true,        // +$0.0014/min
      summarize: "v2",       // +$0.0010/min
      topics: true,          // +$0.0010/min
      detect_language: true
    }
  );

  if (error) throw error;
  return result.results.channels[0].alternatives[0];
}