IBM Watson Speech to Text vs. XTRF

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

In my experience, XTRF's track record on basic functionality leaves a lot to be desired. Those so-called "smart projects" feel more like needy projects, with limitations popping up at every turn. And don't get me started on the integrations—memoQ? Yeah, I feel like it's a struggle. Customizing notifications? Good luck with that. And as for support, well, let's just say you're better off sending messages to the void.

Incentivized

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

Incentivized

• Basic quotes
• Basic projects
• Basic invoicing

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

• Smart projects
• Integrations
• Product support

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

Incentivized

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

Incentivized

• In my opinion, the limitations in functionality, especially with smart projects and integrations with tools like memoQ, have hindered the full realization of its potential.

Incentivized