New function: multi-streaming for more destinations
Example: An organizer can broadcast a conference to several platforms simultaneously by starting the stream once and automatically distributing it to all desired destinations. This guarantees maximum flexibility and high quality.
Until now, users often had to use special services such as Restream.io to distribute a live stream signal to multiple platforms. With the Deep Live Hub, this functionality is now natively integrated, simplifying and streamlining the process.
More user-friendliness thanks to reusable subtitle settings
Improved security with RTMPS and authentication
For more security, the Deep Live Hub now supports the RTMPS protocol. In addition, the user name and password can be transmitted directly as part of the URL or in the parameters, which simplifies setup and better protects your streams from unauthorized access.
The components of the streaming pipeline have been technically revised and stabilized, while the player in the editor now works more reliably – especially during longer streaming sessions. A new error handling routine also allows us to better handle network issues, enabling editing even with clients that are not well connected, such as a laptop at a trade show.
Deep Live Hub Improvements: Optimized file management and more stable player
In batch workflows, transcribed files such as SRT, AMT and WebVTT can now be easily deleted. This ensures clearer project management and reduces unnecessary data waste.
The streaming worker has been technically revised and stabilized and the player in the editor is now also technically more reliable – especially for longer streaming sessions.
Bug fixes: More stability and consistency
- Stability problems with live streaming have been solved.
- Pop-up windows can no longer be closed accidentally.
- The quality and speed of the SRT have been optimized.
- The editor remains stable even if the streaming worker crashes.
- Video pull configuration issues have been resolved, and the platform code has been standardized to ensure consistency.
Deep Media Analyzer: Improved language support and new models
The Deep Media Analyzer now supports Semitic languages such as Arabic and Hebrew, which are written from right to left. This display is now also correctly implemented in the editor.
Face Recognition Update: A new model has been released (version V36), which enables the recognition of additional personalities from politics, society and sport.
Stay tuned for new features in the upcoming year
All DeepVA changelog updates are available here: https://docs.deepva.com/changelog/