IBM Watson Speech to Text
Reviews
Star rating
Rank in Voice Recognition
Pros and cons
Pros
- Accuracy
- Real-time Transcription
- Multilingualism
- Transcription Accuracy
- Speech to Text Conversion
- Helpful
Cons
- Pricing Issues
- User Interface Issues
- Noise Issues
- Internet Dependency
- Software Issues
- Poor Documentation
Traffic & LLM citations
Source: G2 review data
Losing to
Key stats
Adoption by company size
| Segment | Share of reviews |
|---|---|
| Small Business | 43.8% |
| Mid-Market | 37.5% |
| Enterprise | 18.8% |
Quarterly history
| Quarter | Reviews | Star rating |
|---|---|---|
| 2025 Q4 | 5 | 4.6 |
Satisfaction ratings
What reviewers say
Sharp Speaker Identification, Tough Setup
“I really like the way IBM Watson Speech to Text identifies speakers. It categorizes agents and clients perfectly, making the transcribed text very helpful.”
Highly Accurate Real-Time Transcription for Multilingual Projects
“I use IBM Watson Speech to Text in my R&D projects to process and transcribe multilingual audio data from clinical and operational studies. Very accurate Real-time application”
Powerful NLP and Real-Time Audio Streaming with Multilingual Support
“One of the best features I really like about IBM Watson is the deep learning approach and adding a human tone and response in to the outputs. NLP is known for the suggesting a very accurate readings and dusts away the non relevant content out of it. Real time audio streaming is a”