Skip to content
Back to Analysis
AWS Transcribe logo

AWS Transcribe

Learn more →

Description

Developer-focused cloud speech-to-text API service offering high accuracy transcription at very low per-minute rates, requiring technical integration.

Market positioning

Low-cost, high-accuracy developer infrastructure for transcription; positioned as a scalable, enterprise-grade speech-to-text API within the broader AWS cloud ecosystem

Target audience

Developers, technical teams, and large organizations building transcription into applications or workflows

Use cases

Automating transcription pipelines for call centers, media companies, healthcare providers, and SaaS platforms; integrating speech-to-text capabilities into custom applications via API; processing large volumes of audio/video content in batch or real-time streaming modes

Company information

Company size

500,000+ employees (Amazon parent company); AWS division estimated 50,000+ employees

Revenue

$107B+ annual revenue (AWS, 2024)

Scale

Global

Number of users

Millions of API calls processed globally; used by 100,000+ AWS enterprise and developer customers across industries

Features

Batch and streaming transcription, Custom vocabulary, High-accuracy speech-to-text API, Speaker diarization, Volume pricing tiers, Multi-language support (100+ languages), Automatic punctuation, Content redaction (PII), Custom language models, Medical transcription (AWS Transcribe Medical), Toxicity detection, Channel identification, Word-level confidence scores, Integration with AWS ecosystem (S3, Lambda, Comprehend)

Pricing

Pricing modelPay-as-you-go
Starting price$0.02 per minute
Billing periodPer-minute usage (billed monthly)

Rating

4.3/5 (based on G2 and Gartner Peer Insights reviews)

No Trustpilot link available

Pros and cons

Based on: (AI summary)

Pros

  • Very low cost at scale ($0.96/hour)
  • High accuracy (94-96%)
  • Custom vocabulary support
  • Scalable infrastructure

Cons

  • Requires technical setup and API integration
  • Not consumer-friendly
  • No built-in UI for researchers
  • No ethnological or phonetic analysis features

Feature Comparison

Top features across 16 competitors (most common first)

Feature DOTEResearch Tr…Otter.ai Me…Rev Human T…Rev AI Tran…TransanaTemiHappy ScribeAWS Transcr…GoTranscrip…Transcriber…TP Transcri…Verbit Tran…DescriptGoogle Clou…Qualtranscr…
Speaker identification
sync transcript with media
line-by-line editing
machine-readable transcripts
Focus group transcription
Timestamps
Interview transcription
Market research transcription
Medical transcription
Captions and subtitles
Timestamping
Verbatim transcription
Human transcription option
Multilingual support
Jeffersonian symbol support
Collaboration tools
High-accuracy speech-to-text API
Speaker diarization
Volume pricing tiers
Automatic punctuation