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Head-to-head · Transcription Software

Google Cloud Speech-to-Text vs Whisper

  • Updated Oct 2026
  • Both researched from official sources
  • 4 checks side by side
Higher score Google Cloud Speech-to-Text #2 in Transcription Software 9.2/10 Paid ✓ 3 of 3 features Visit Google Cloud
Whisper #3 in Transcription Software 9.1/10 Open source ✓ 1 of 3 features Visit OpenAI

Google Cloud Speech-to-Text leads on 0 checks, Whisper 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 scoreGoogle Cloud Speech-to-Text · 9.2/10
  • Most featuresGoogle Cloud Speech-to-Text · 3 of 3

Google Cloud Speech-to-Text scores higher on our rubric for transcription software: 9.2 against 9.1 out of 10; our editors rank them #2 and #3.

Google Cloud Speech-to-Text is the better fit for cloud developers needing maximum value. Whisper is the better fit for developers wanting free open-source transcription.

  • Google Cloud Speech-to-Text fits best

    Cloud developers needing maximum value

  • Whisper fits best

    Developers wanting free open-source transcription

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Side by side

Feature Google Cloud Speech-to-Text 9.2/10 Visit ↗ Whisper 9.1/10 Visit ↗
At a glance
Editor score 9.2 9.1
Ranking #2 in Transcription Software #3 in Transcription Software
Best for Cloud developers needing maximum value Developers wanting free open-source transcription
Pricing model Paid Free
Starting price $0.003/unit usage-based Open source
Free plan — Not checked yet
Free trial — —
Deployment Cloud, Self-hosted Self-hosted
Platforms Web Windows, macOS, Linux
Support Docs Community
Built for Small business, Mid-market, Enterprise Solo, Small business, Mid-market, Enterprise
Features Google Cloud Speech-to-Text 3/3 · Whisper 1/3
Speaker identification ✓ (best) Not checked yet
Timestamp support ✓ ✓
API access ✓ (best) Not checked yet
Specs
Languages supported Not checked yet Not checked yet
Included minutes Not checked yet Not checked yet
Export formats VTT, SRT txt, vtt, srt, tsv, json, jsonl
Our review
Pros
  • $0.003 per minute for V2 Dynamic Batch recognition
  • Streaming, synchronous, and asynchronous transcription modes
  • Speaker labels, timestamps, punctuation, SRT, and WebVTT output
  • Free local use under the MIT License
  • Supports 98 languages, translation, and language identification
  • Offers Python, CLI, timestamps, and six transcript formats
Cons
  • 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
  • Does not provide speaker labels
  • Requires Python and command-line dependencies for local use
  • No integrations beyond its Python, CLI, and API access
Our verdict

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 →

Whisper is an open-source automatic speech recognition model from OpenAI for developers building transcription and translation workflows. It can transcribe multilingual audio, translate speech into English, identify spoken languages, and…

Read the review →
  1. Google Cloud Speech-to-TextTranscription Software 9.2Paid
  2. WhisperTranscription Software 9.1Open source

Strengths and trade-offs

  • 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

  • Whisper — where it wins

    • Free local use under the MIT License
    • Supports 98 languages, translation, and language identification
    • Offers Python, CLI, timestamps, and six transcript formats

    Where it doesn't

    • Does not provide speaker labels
    • Requires Python and command-line dependencies for local use
    • No integrations beyond its Python, CLI, and API access

More comparisons

All transcription software comparisons → · Full ranking →

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update