Changelog December 2024: Deep Live Hub – More streaming destinations, more security and more usability

We have updated the Deep Live Hub of our composite AI platform DeepVA and are pleased to introduce the latest improvements and features. This update focuses on usability and significantly increases the platform’s flexibility and security.

New function: multi-streaming for more destinations

A major novelty is the support of multiple RTMP pushers at the same time. This allows you to broadcast live streams in parallel to platforms such as YouTube Live, Facebook Live and Twitch – without the need for external tools such as Restream.io. This function is directly integrated, ensuring efficiency and saving time and money.

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

Settings for subtitles, whether “Burned-In” or “Closed Captions”, can now be saved and reused in later projects. This saves time when editing similar projects and ensures that subtitles and formatting look the same

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

With this update, we are improving your workflows and streaming functions. Look forward to more exciting features in the coming year – the next releases and new features are already in the testing phase, including composite AI workflows for the transcription area, for the creation of new exports and the further generation of metadata.

All DeepVA changelog updates are available here: https://docs.deepva.com/changelog/

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