OpenAI Whisper vs. AssemblyAI - Speech to Text API
A side-by-side comparison based on G2 review data.
| Metric | OpenAI Whisper | AssemblyAI - Speech to Text API |
|---|---|---|
| Overall rating | 4.4 | 4.6 |
| Review count | 52 | 126 |
| Ease of use | 9.0 | 9.2 |
| Ease of setup | 8.7 | 9.2 |
| Quality of support | 8.5 | 9.0 |
| Meets requirements | 8.7 | 9.1 |
| NPS | 58.823529 | 76.8 |
| Small Business | 62.7% | 78.8% |
| Mid-Market | 27.5% | 16.8% |
| Enterprise | 9.8% | 4.4% |
| Total page views | 888 | 753 |
| Total LLM citations | 20,570 | 73,605 |
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
AssemblyAI - Speech to Text API
Founded in 2017 and headquartered in San Francisco, AssemblyAI is a Voice AI platform serving over 200,000 developers worldwide. AssemblyAI specializes in providing speech recognition and understanding capabilities through API-based services, with a focus on conversation intelligence and voice agent applications. Companies ranging from early-stage startups to Fortune 500 enterprises across technology, healthcare, legal, and telecommunications industries rely on this comprehensive speech processing API.
- Accuracy
- Ease of Use
- Transcription Accuracy
- Transcripts
- Speed
- Implementation Ease