RTX Broadcast Engine


GPU-accelerated SDKs that deliver AI-powered content creation features



Live streaming and content creation app-makers can provide their customers with advanced effects such as face tracking, virtual greenscreen or style transfer filters, all without the cost and inconvenience of traditional studio setups. These features are possible in real-time - without special cameras, microphones or other hardware - due to the power of RTX GPUs and dedicated Tensor Cores.





AR SDK


Enables real-time 3D tracking of a person’s face using a standard web camera. Developers can create fun, engaging augmented reality effects, such as overlaying 3D content on your face, allowing you to control 3D characters, or adding immersive effects that make you look like you are in the game. The SDK features include:



(click on image to enlarge)

Face Tracking

AI-based technology that detects human faces in images and video feeds. It determines the location of the face and specifies the size using a bounding box. It is accelerated on tensor cores.





Face Landmark Tracking

AI-based technology that identifies the facial features and facial contour of a person, (including face shape, lips, eyes, and eyelids,) using 68 key points. It tracks 3 degrees of freedom head pose and facial deformation due to head movement and expressions. It is accelerated on tensor cores..

(click on image to enlarge)



(click on image to enlarge)

Face Mesh

GPU accelerated optimization using a 3D morphable model to create a 3D mesh representation of a human face with up to 3000 vertices and 6 degrees of freedom head pose in real-time.



Get Started (Download)



VIDEO EFFECTS SDK


Gives content creators control over the look and feel of their streams, without requiring special cameras or other hardware.




(click on image to enlarge)

RTX Greenscreen

RTX Greenscreen delivers real-time background removal of a webcam feed, isolating your face and body on your livestream. It uses AI to separate the talent from the background without the hassle of a physical greenscreen.




RTX Style Filters

RTX Style Filters uses AI to augment the look and feel of your webcam feed based on the style of another image. Imagine styling your webcam feed in the look of Van Gogh’s Starry Night.

(click on image to enlarge)


Apply for SDK Early Access



VIDEO CODEC SDK


Unlock the full potential of streaming apps with dedicated hardware encoding and decoding, reducing the FPS impact of streaming by up to 50%! With RTX GPUs, NVENC delivers up to 15% better efficiency for H.264 encoding, and 25% for HEVC encoding compared to prior generations.




Learn More



INDUSTRY SUPPORT



OBS


"NVIDIA has been at the top of my list when it comes to streaming and recording equipment. I’m continually impressed with what they’re doing,” said Hugh Bailey, author, OBS. “And their technology is impressive with RTX features like AI Greenscreen."

Xsplit

"We have collaborated with NVIDIA over the years on many projects and the introduction of the NVIDIA RTX Broadcast Engine is by far the most exciting. This new development represents a huge leap forward for creators using supported RTX-enabled GPUs, providing them with new avenues to enhance their productions. For the XSplit team, we are excited to integrate these new tools into our suite of apps, enabling our users to create better content by maximizing the potential of NVIDIA GeForce RTX,” said Miguel Molina, Director of Developer Relations, XSplit."


elgato


"By integrating NVIDIA’s Video Codec SDK into our software and pairing it with our new 4K60 Pro MK.2 capture card, we’re able to significantly improve the quality of recorded content,” says Philipp Eggebrecht, Technical Marketing Specialist, Elgato. “Gamers can play and capture their favorite titles in state-of-the-art 4K with HDR turned on in real-time, without impacting PC performance."



streamlabs


"The new RTX Broadcast Engine is an exciting advancement that will allow developers in our app store to create powerful new tools for streamers with NVIDIA RTX GPUs," said Ali Moiz, CEO of Streamlabs. "We're thrilled to continue working with NVIDIA as they introduce new features to the Streamlabs developer community, and look forward to implementing this new technology."