OpenAI Whisper vs. Google Cloud Speech-to-Text
A side-by-side comparison based on G2 review data.
| Metric | OpenAI Whisper | Google Cloud Speech-to-Text |
|---|---|---|
| Overall rating | 4.4 | 4.5 |
| Review count | 52 | 316 |
| Ease of use | 9.0 | 9.3 |
| Ease of setup | 8.7 | 8.9 |
| Quality of support | 8.5 | 9.0 |
| Meets requirements | 8.7 | 9.1 |
| NPS | 58.823529 | 71.84466 |
| Small Business | 62.7% | 43.7% |
| Mid-Market | 27.5% | 36.1% |
| Enterprise | 9.8% | 20.3% |
| Total page views | 888 | 1,149 |
| Total LLM citations | 20,570 | 88,011 |
OpenAI Whisper
Whisper is a general-purpose speech recognition model. It is trained on a large dataset of diverse audio and is also a multitasking model that can perform multilingual speech recognition, speech translation, and language identification.
- Accuracy
- Implementation Ease
- Multilingualism
- Documentation
- Noise Cancellation
Google Cloud Speech-to-Text
Google Cloud’s Speech API processes more than 1 billion voice minutes per month with close to human levels of understanding for many commonly spoken languages. Powered by the best of Google's AI research and technology, Google Cloud's Speech-to-Text API helps you accurately transcribe speech into text in 73 languages and 137 different local variants.
- Ease of Use
- Speech to Text Conversion
- Transcription Accuracy
- Accuracy
- Time-Saving
- Real-time Transcription