Over the past few months, we've seen a huge uptick in developers looking to implement Real-Time Transcription into their applications and products. Real-Time Transcription is powering innovative accessibility features, like closed captioning of online events, live coaching of customer support and sales calls to help improve the customer's experience, and a slew of other interesting use cases and applications.
At AssemblyAI, we're focused on building the easiest to implement, and most accurate API for automatic speech recognition. That's why we have a great team of Speech Scientists and Deep Learning Engineers focused on rapidly improving the performance and accuracy of our models - and today we're excited to be releasing an improvement to our Real-Time WebSocket Transcription API, that returns more accurate and faster results for developers.
New Helper Libraries
The above GIF shows a glimpse of just how fast and accurate our real-time API can stream transcription results back!
For more information about our Real-Time WebSocket API, you can check out the public API Docs. You can also write to us any time at email@example.com, or at @AssemblyAI on Twitter!