Head-to-head · Speech-to-Text Software
Google Cloud Speech-to-Text vs Rev AI
Google Cloud Speech-to-Text leads on 0 checks, Rev AI on 0, and 3 are even. Who comes out ahead on the 3 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 · 9.4/10
Google Cloud Speech-to-Text scores higher on our rubric for speech-to-text software: 9.4 against 8.6 out of 10; our editors rank them #1 and #5.
Google Cloud Speech-to-Text is the better fit for developers needing broad, low-cost cloud STT. Rev AI is the better fit for cost-conscious API transcription users.
- Google Cloud Speech-to-Text fits best
Developers needing broad, low-cost cloud STT
- Rev AI fits best
Cost-conscious API transcription users
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Side by side
| Feature | Google Cloud Speech-to-Text 9.4/10 Visit ↗ | Rev AI 8.6/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 9.4 | 8.6 |
| Ranking | #1 in Speech-to-Text Software | #5 in Speech-to-Text Software |
| Best for | Developers needing broad, low-cost cloud STT | Cost-conscious API transcription users |
| Pricing model | Paid | Paid |
| Starting price | $0.003/unit usage-based | $0.002/unit usage-based |
| Free plan | — | — |
| Free trial | — | — |
| Deployment | Cloud, Self-hosted | Cloud, Self-hosted |
| Platforms | Web | Web |
| Support | Docs | Email, Live chat, Tickets, Docs |
| Integrations | 4 integrations | 4 integrations |
| Built for | Small business, Mid-market, Enterprise | Small business, Mid-market, Enterprise |
| Features Google Cloud Speech-to-Text 2/5 · Rev AI 2/5 | ||
| Speaker labels | ✓ | ✓ |
| API access | ✓ | ✓ |
| Offline transcription | Not checked yet | Not checked yet |
| Mobile apps | Not checked yet | Not checked yet |
| Desktop apps | Not checked yet | Not checked yet |
| Specs | ||
| Capture modes | Not checked yet | Not checked yet |
| Supported languages | Not checked yet | 1 |
| Our review | ||
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| 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 → |
Rev AI is a developer-focused speech-to-text API for organizations that need transcripts from prerecorded audio and video or real-time streams. It supports asynchronous and streaming transcription, with features suited to media,… Read the review → |
Strengths and trade-offs
Google Cloud Speech-to-Text — where it wins
- V2 Dynamic Batch recognition starts at $0.003 per minute
- Supports synchronous, asynchronous, and streaming recognition
- Includes diarization, timestamps, SRT, and WebVTT captions
Where it doesn't
- Standard V2 recognition costs $0.016 per minute
- Dynamic Batch recognition is designed for lower-urgency processing
- Usage-based pricing varies by model, version, region, and audio details
Rev AI — where it wins
- Starts at $0.005 per minute with pay-as-you-go pricing
- Supports streaming, diarization, timestamps, custom vocabulary, and webhooks
- Offers JSON, plain text, SRT, VTT, and on-premises Docker deployment
Where it doesn't
- The lowest-priced transcription plans focus on English
- All listed plans have a 15-second minimum
- Pricing is usage-based rather than monthly subscription pricing
- Google Cloud Speech-to-Text9.4/10 · Paid
A flexible, low-cost cloud STT API with streaming, diarization, timestamps, and captions.
Visit Google CloudFull verdict → - Rev AI8.6/10 · Paid
A usage-priced API with strong transcript controls, focused mainly on English at entry pricing.
Visit Rev AIFull verdict →
More comparisons
- Google Cloud Speech-to-Text vs Speechmatics
- Google Cloud Speech-to-Text vs Deepgram Speech-to-Text
- Google Cloud Speech-to-Text vs Buzz
- Amazon Transcribe vs Rev AI
- AssemblyAI vs Rev AI
- Speechmatics vs Rev AI
- Rev AI vs Deepgram Speech-to-Text
- Rev AI vs Buzz
All Speech-to-Text software comparisons → · Full ranking →
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update





