Google Cloud Speech-to-Text vs. IBM Watson Speech to Text

Google Cloud speech-to-text is best suited when you want to work on live calls and transcribe interviews, meetings, customer service calls, and other audio or video recordings into text format. This helps create searchable archives, generate meeting minutes, and improve accessibility for individuals with hearing impairments. The service can provide real-time captioning for live events, webinars, broadcasts, and presentations. This enhances accessibility for individuals who are deaf or hard of hearing and those viewing content in noisy environments or without sound. It does not work well where the internet bandwidth is not that good; it requires a very good and strong internet connection to work well. And also where there are strong accents, especially in the Mandarin language.

Incentivized

It's best for real time transcription and when the meeting is between the two speakers. Word recognition is accurate. Also it's available for various platforms, like cloud, apps, on-premise, API support. Price wise it's much better than other competitors. However, there can be still improvement in filtering noise and improving word accuracy. Language support can be increased further

Incentivized

• An amazing tool which helps a lot in a meetings.
• It's an efficient tool for improving efficiency by saving a lot of time typing. It saves at least 40-50% of our time, thus increasing efficiency.
• Incredible accuracy with multiple accents & multiple language.
• It takes punctuation into consideration.

Incentivized

• Low latency Real time meeting transcription
• Meeting summary
• Customer call summary
• Automatic speech recognition

Incentivized

• The software does occasionally get confused by confusing terminology.
• Its web-based interface can also feel a tad hard to use compared to more appealing desktop apps.
• I've experienced the occasional technical issue, though the provider's support team is quick to troubleshoot.

• More language support
• Recognize multiple speaker when multiple people are there in meeting
• AI summary can be improved.
• can be better in filtering the noise

Incentivized

I can share insights with stakeholders in record time. And robust API connections let me pipe text into my CRM, marketing automation, and other mission-critical systems

The accuracy of Google Cloud Speech-to-Text is much better than any other tool. It has better API integration with 3rd party tools. The transcription is on at real-time basis with the best efficiency. It has good language support from across the globe. It provides better noise robustness compare to other tools.

Incentivized

It provides more flexible plans as compared to others. These plans are affordable for Small and medium-scale enterprises. They also offer free trial. IBM Watson has wider integration support with the help of API. It has very low latency in real time transcription. Also there is a formatting feature to Transcribe dates, times, currency etc as per the desired format

Incentivized

• Automating the transcription process saved time and resources compared to manual transcription.
• Speech-to-text enabled us to make audio content accessible to a wider audience, including individuals with disabilities.
• We gained valuable insights into customer preferences, behaviors, and sentiment by analyzing voice data.

Incentivized

• Improving productivity
• Less communication gap
• better customer services
• global collaboration made easy.

Incentivized