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Qvest Unveils V-Cropper Blueprint Powered by NVIDIA
- 16 September, 2026
GER/USA: Qvest, a global leader in media-focused services presented the V-Cropper Blueprint powered by NVIDIA for the first time at IBC2026. Developed by Qvest using NVIDIA AI and deployment technologies, the application automatically crops horizontal video into different aspect ratios, including vertical formats optimized for mobile and social media. It enables media organizations to accelerate content creation while maintaining control over their content and AI infrastructure.
Turning horizontal sports and live content into vertical formats for social media currently requires significant manual editing. The V-Cropper Blueprint from Qvest automates this process by tracking relevant subjects and sports scenes in motion - such as athletes, players, and balls - and keeping the action in frame, helping media teams create mobile content faster.
For media organizations, the value of AI is not the model itself, but what it enables within real production workflows," said Fares Birke, Principal - Practice Lead Applied AI at Qvest. "Especially in sports, speed matters. Monetizing the moment means turning live action into engaging content while it is still relevant. Our V-Cropper Blueprint does exactly that while giving organizations control over how and where their AI workflows operate."
Developed by Qvest's Applied AI and R&D Accelerator Team, the V-Cropper Blueprint can run locally
or in cloud environments, enabling media organizations to process content without relying on external
multi-tenant AI services.
"Live moments evolve by the second, yet adapting horizontal video for mobile audiences remains
time-consuming and manual," said Richard Kerris, Vice President and General Manager of Media
and Entertainment at NVIDIA. "Built with NVIDIA AI, Qvest's V-Cropper Blueprint turns that bottleneck
into an adaptable workflow, helping media teams bring sports and live content to every screen faster
while retaining control of their content and infrastructure."
The solution uses NVIDIA NIM microservices for optimized AI inference and NVIDIA Brev for reusable deployment configurations. Its containerized architecture supports flexible deployment, while a labeling and tuning interface allows teams to adapt tracking behavior to different sports and content scenarios.
The V-Cropper Blueprint will be made available through NVIDIA Build as an open-source foundation
that media organizations can adapt to their own workflows and requirements.
