OpenAI Whisper vs. Deepgram
A side-by-side comparison based on G2 review data.
| Metric | OpenAI Whisper | Deepgram |
|---|---|---|
| Overall rating | 4.4 | 4.6 |
| Review count | 52 | 483 |
| Ease of use | 9.0 | 9.2 |
| Ease of setup | 8.7 | 9.1 |
| Quality of support | 8.5 | 9.0 |
| Meets requirements | 8.7 | 8.9 |
| NPS | 58.823529 | 73.277662 |
| Small Business | 62.7% | 80.5% |
| Mid-Market | 27.5% | 17.0% |
| Enterprise | 9.8% | 2.5% |
| Total page views | 888 | 2,057 |
| Total LLM citations | 20,570 | 79,370 |
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
Deepgram
Enterprise Voice AI platform designed for developers building voice-first products using speech-to-text, text-to-speech, or speech-to-speech APIs. Over 200,000 developers build with Deepgram's voice-native foundational models, accessed via APIs or self-managed software. Start building with $200 in free credits!
- Accuracy
- Speed
- Ease of Use
- Quality
- Real-time Transcription
- Speech to Text Conversion