{
  "slug": "amazon-transcribe",
  "name": "Amazon Transcribe",
  "description": "Amazon Transcribe is an automatic speech recognition (ASR) service that makes it easy for developers to add speech-to-text capability to their applications. Using deep learning technology, it can process both real-time and recorded audio to produce accurate text transcripts.",
  "url": "https://optimly.ai/brand/amazon-transcribe",
  "logoUrl": "",
  "baiScore": 92,
  "archetype": "Challenger",
  "category": "Cloud Computing / AI Services",
  "categorySlug": null,
  "keyFacts": [],
  "aiReadiness": [],
  "competitors": [
    {
      "slug": "deepgram",
      "name": "Deepgram"
    },
    {
      "slug": "google-cloud-speech-to-text",
      "name": "Google Cloud Speech-to-Text"
    }
  ],
  "inboundCompetitors": [
    {
      "slug": "google-cloud-dialogflow-speech-to-text",
      "name": "Google Cloud Dialogflow Speech To Text"
    },
    {
      "slug": "microsoft-azure-speech-to-text",
      "name": "Microsoft Azure Speech-to-Text"
    },
    {
      "slug": "azure-speech-to-text",
      "name": "Azure Speech To Text"
    }
  ],
  "aiAlternatives": [],
  "parentBrand": {
    "slug": "amazon-web-services-aws",
    "name": "Amazon Web Services (AWS)"
  },
  "subBrands": [],
  "updatedAt": "2026-03-12T22:32:29.725654+00:00",
  "verifiedVitals": {
    "website": "https://aws.amazon.com/transcribe/",
    "founded": "2017",
    "headquarters": "Seattle, WA",
    "pricing_model": "Usage-based (Pay-as-you-go)",
    "core_products": "Batch Transcription, Real-time Streaming Transcription, Amazon Transcribe Medical, Call Analytics",
    "key_differentiator": "Deep integration with the AWS ecosystem and specialized versions for highly regulated industries like healthcare.",
    "target_markets": "Software Developers, Contact Centers, Healthcare Providers, Media and Entertainment companies",
    "employee_count": "10,000+ (AWS total)",
    "funding_stage": "Publicly Traded (AMZN)",
    "subcategory": "Speech-to-Text (STT) API"
  },
  "intentTags": null,
  "timestamp": 1777609090611
}