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

Real-time meeting notes for the smaller group audience. Strong language coverage of over 125+ languages. Handles mobile phone recordings and environmental noise effectively. Fast transcription turnaround also supports phrases, which improves industry-specific terminology. Generating QA/compliance audit logs. Also builds the sentences with accurate punctuation and sentence boundaries. It has vast global support centers whose primary focus in resolving customer issues and help multinational engineering in building great products

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

• So, first of all it gives the answer or translates in real time which is awesome.
• It has speaker diarization, which detects who spoke each segment. This is a great feature because it can track the number of people as well.
• It has an automatic punctuation system that detects each punctuation mark, such as a dot and a comma, and places it in the text.
• Lastly, it offers a variety of language translations, providing a global platform for interaction with people from different countries.

Incentivized

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

Incentivized

• Integration outside of the google eco system is challenging here.
• Google Cloud Speech-to-Text works only with active internet connection if the internet bandwidth is low it effect the transcription process and can lead to data inaccuracy.
• In terms of the pricing also this is at higher range which all the companies cannot afford like small scale organisation if they would like to use the tool they would look over the price to make the decision. Reducing the price can increase the product usage more

Incentivized

• 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

The reasoning behind my 10 is that the UI is very intuitive; I didn't require any formal training to use it. Google's speech-to-text is not just a conversion tool; it helps automate mundane tasks, saves time, and has an almost human-like understanding.

Incentivized

Google Cloud Speech-to-Text outperformed its competitors significantly in terms of accuracy, surpassing any other product available. Additionally, its support for multiple languages was unrivaled in the market. Moreover, for clients with robust bandwidth, Google Cloud Speech-to-Text offered real-time transcription capabilities, enabling users to transcribe live audio streams with minimal delay.

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

• It reduced our budget for assistants who transcribed files manually
• It speeds up the process, because we can have a transcriptions straight after the interviews
• It increased accuracy, because AI makes the transcriptions for every second, and you can find the words which were said at specific time.

Incentivized

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

Incentivized