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Head-to-head · Transcription Software

Amazon Transcribe vs Google Cloud Speech-to-Text

  • Updated Oct 2026
  • Both researched from official sources
  • 4 checks side by side

Amazon Transcribe leads on 0 checks, Google Cloud Speech-to-Text on 0, and 4 are even. Who comes out ahead on the 4 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreAmazon Transcribe · 9.3/10

Amazon Transcribe scores higher on our rubric for transcription software: 9.3 against 9.2 out of 10; our editors rank them #1 and #2.

Amazon Transcribe is the better fit for AWS teams needing enterprise transcription. Google Cloud Speech-to-Text is the better fit for cloud developers needing maximum value.

  • Amazon Transcribe fits best

    AWS teams needing enterprise transcription

  • Google Cloud Speech-to-Text fits best

    Cloud developers needing maximum value

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Side by side

Feature Amazon Transcribe 9.3/10 Visit ↗ Google Cloud Speech-to-Text 9.2/10 Visit ↗
At a glance
Editor score 9.3 9.2
Ranking #1 in Transcription Software #2 in Transcription Software
Best for AWS teams needing enterprise transcription Cloud developers needing maximum value
Pricing model Paid Paid
Starting price $0.006/unit usage-based $0.003/unit usage-based
Free plan — —
Free trial — —
Deployment Cloud Cloud, Self-hosted
Platforms Web Web
Support Docs Docs
Integrations 4 integrations 4 integrations
Built for Small business, Mid-market, Enterprise Small business, Mid-market, Enterprise
Features Amazon Transcribe 3/3 · Google Cloud Speech-to-Text 3/3
Speaker identification ✓ ✓
Timestamp support ✓ ✓
API access ✓ ✓
Specs
Languages supported 113 languages Not checked yet
Included minutes Not checked yet Not checked yet
Export formats JSON, WebVTT, SRT VTT, SRT
Our review
Pros
  • $0.006 per minute for Standard Batch transcription
  • Batch, real-time, diarization, redaction, and subtitle support
  • Integrates with S3, AWS SDKs, CLI, HTTP, and WebSockets
  • $0.003 per minute for V2 Dynamic Batch recognition
  • Streaming, synchronous, and asynchronous transcription modes
  • Speaker labels, timestamps, punctuation, SRT, and WebVTT output
Cons
  • No permanent free plan
  • Rates vary by AWS Region
  • Developer-focused API and web access may require implementation work
  • Usage-based pricing varies by model, method, region, and audio length
  • API-focused workflows require developer implementation
  • Multiple versions and recognition models complicate plan selection
Our verdict

Amazon Transcribe is a managed automatic speech recognition service for developers and organizations that need to convert recorded or streaming speech into text. It supports applications involving customer calls, meetings, video,…

Read the review →

Google Cloud Speech-to-Text is a cloud service and API for converting speech audio into text with neural-network recognition models. It is aimed at developers building transcription, captioning, telephony, video, medical-audio, and other…

Read the review →
  1. Amazon TranscribeTranscription Software 9.3Paid
  2. Google Cloud Speech-to-TextTranscription Software 9.2Paid

Strengths and trade-offs

  • Amazon Transcribe — where it wins

    • $0.006 per minute for Standard Batch transcription
    • Batch, real-time, diarization, redaction, and subtitle support
    • Integrates with S3, AWS SDKs, CLI, HTTP, and WebSockets

    Where it doesn't

    • No permanent free plan
    • Rates vary by AWS Region
    • Developer-focused API and web access may require implementation work
  • Google Cloud Speech-to-Text — where it wins

    • $0.003 per minute for V2 Dynamic Batch recognition
    • Streaming, synchronous, and asynchronous transcription modes
    • Speaker labels, timestamps, punctuation, SRT, and WebVTT output

    Where it doesn't

    • Usage-based pricing varies by model, method, region, and audio length
    • API-focused workflows require developer implementation
    • Multiple versions and recognition models complicate plan selection

More comparisons

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update