Turn sports video into content designed for the screen where it will be watched. InBrief uses AI to follow the visual focus of the action and automatically reframe video for vertical, square and other formats, helping media teams reuse the same content across digital and social channels.
Turn One Video into Content for Every Format
Sports media is usually produced in landscape formats designed for television and professional video environments, while a growing part of digital consumption happens on mobile screens and social platforms with very different aspect ratios. The same moment may therefore need to work in 16:9, 9:16, 1:1 or 4:5 without losing the player, ball or action that makes the scene meaningful.
Manually preparing each version introduces another editing task for every clip and destination. InBrief uses specialized AI agents to make format adaptation part of the media production workflow, allowing the same underlying content to be prepared for multiple screens while keeping the relevant action inside the frame.
What Is AI Video Reframing?
AI video reframing uses artificial intelligence to adapt the composition of an existing video to a different aspect ratio while following the visual focus of the scene. Unlike a fixed crop that simply removes part of the original image, intelligent reframing can adjust the visible area as the action moves.
This is especially relevant in sport, where players, the ball and the point of action frequently move across a wide 16:9 frame. InBrief analyses the visual focus of the scene and can automatically adapt the framing to formats such as 9:16, 1:1 and 4:5, turning content created for one screen into media suitable for different digital destinations.
More Than Cropping a 16:9 Video
Changing the dimensions of a video is easy. Preserving the story inside a narrower frame is much more difficult. A static centre crop may work while the action remains in the middle of the image, but it can quickly lose an important player, the ball or another relevant part of the scene as the event develops.
InBrief approaches automated video reframing as a content-understanding problem. The system follows the visual focus of the scene and adjusts the framing according to the action, helping preserve what matters as the available screen area changes.
The objective is not simply to make a horizontal video vertical. It is to create a version in which the sporting moment remains visually understandable in its new format.
From Landscape Sports Video to Vertical Content
A traditional sports feed provides a wide view that works naturally in a 16:9 environment. On a vertical mobile screen, placing the entire landscape frame inside the available area can make players and key actions appear small, while simply cropping the centre can remove important information.
AI reframing provides a more dynamic approach. By following the visual focus of the scene, InBrief can prepare vertical versions in which the framing responds to what is happening in the source video. This allows existing sports media to become more suitable for mobile-first environments without requiring a separate production from the original event.
From Live Sports Clipping to Reframed Content
A moment identified during a live event can quickly become valuable digital content. With live sports clipping, relevant sequences can be prepared from the incoming feed; reframing can then adapt those clips to the formats required by different platforms.
This creates continuity between finding the moment and preparing it for the audience. Instead of producing a clip and then beginning a separate manual adaptation process, the media can continue through an automated workflow from live event identification to platform-ready framing.
Reframe AI Sports Highlights for Social Channels
The same principle applies to longer editorial outputs. AI sports highlights can combine multiple moments into summaries, compilations and other forms of sports content, while AI reframing can prepare those outputs for different screen orientations.
A highlight originally created from broadcast media can therefore become the basis for vertical or square versions intended for mobile and social environments. Media teams can reuse the editorial value of the original content while adapting its presentation to the context in which audiences will watch it.
AI Reframing as Part of Sports Video Editing
Reframing is closely connected to the wider AI sports video editing workflow. Once a key moment has been identified and precisely edited, the resulting media can be adapted to different aspect ratios according to its destination.
This separation is important. Editing determines which part of the event becomes content and how the sequence is constructed; reframing determines how that content is presented inside a particular screen. InBrief connects the two processes so that an accurately edited moment can continue directly into format adaptation without becoming an unrelated production task.
9:16, 1:1, 4:5 and Beyond
Different channels create different visual requirements. Vertical 9:16 formats dominate many mobile-first experiences, square 1:1 content can remain useful in particular digital contexts, and 4:5 provides another portrait-oriented format commonly used in social feeds.
InBrief can automatically adapt video to formats including 9:16, 1:1 and 4:5, following the visual focus of the scene as it changes. This gives media teams a way to generate multiple useful versions from the same source while reducing the repetitive manual work involved in preparing each format independently.
One Moment. Multiple Screens.
A single sporting moment can begin as a professional broadcast clip and continue through several different audience experiences. The original 16:9 media may remain appropriate for television, web video or an OTT environment, while a 9:16 version can bring the same action closer to viewers on a mobile screen. Square and portrait variations can support additional digital and social uses.
InBrief makes these outputs part of the same production chain. The organisation keeps one underlying sporting moment while generating the adaptations needed for different destinations, extending the value of the media without treating every version as an entirely new piece of content.
Reframing as Part of Sports Content Automation
Format adaptation is one component of the broader sports content automation workflow. Before a video can be reframed, the system may need to understand the event, identify a relevant moment, prepare the clip and determine the type of content being created. After reframing, the resulting media may continue through branding, social preparation, publishing or other downstream activities.
InBrief connects these stages through specialized AI agents. This allows reframing to become part of an automated production sequence instead of an additional manual operation performed after the content has already been created.
Create More Versions Without Repeating the Production
When every destination requires its own manually prepared version, each additional channel increases the workload of the media team. The cost comes not from the original sporting moment but from repeating adaptations of the same underlying content.
AI video reframing changes that relationship by allowing format adaptation to scale through automation. A media team can create the editorial asset once and use automated processes to prepare versions appropriate for multiple destinations, increasing content availability without multiplying the same repetitive editing work.
Keep the Action Where It Belongs
Automated reframing needs to do more than keep something moving inside the frame. Sports video contains relationships between players, objects and areas of play that give meaning to the action. The visual focus can also change rapidly as the event moves from one phase to another.
InBrief follows the visual focus of the scene when adapting the video, helping keep relevant players and key action where they belong in the new composition. This produces a more useful starting point for digital production than a static crop and reduces the amount of manual repositioning required from editors.
Keep Editors in Control
Automated reframing can handle repetitive format adaptation while editorial teams remain able to review and refine the resulting content. Some moments may require a specific creative composition, a different focus or additional intervention according to the story being told and the platform where it will appear.
InBrief is designed around professional media workflows, allowing automated and manual production to coexist. AI can perform the repeated work of adapting content while editors remain available for the situations where creative or editorial judgement adds value.
Automation when you want it. Editing when you need it.
Built for Professional Sports Media Production
AI reframing becomes more valuable when it is connected to the rest of the media production environment. InBrief’s AI-powered media technology is designed to operate across live and archived media workflows, allowing format adaptation to follow moment identification, clipping, editing and content creation.
Its modular and API-oriented approach means reframing capabilities can participate in broader production architectures rather than operating as a separate social-media utility. For broadcasters, rights holders, sports organisations and technology partners, this allows mobile and social adaptation to remain connected to professional media operations.
AI Video Reframing Across the Sports Media Ecosystem
Different organisations can use reframing for different production needs. Broadcasters can convert moments from professional feeds into mobile-friendly content, rights holders can adapt owned media for multiple digital channels, teams and sports organisations can create vertical versions for fan engagement, and system integrators can incorporate automated framing into larger media workflows.
InBrief supports these scenarios across the wider sports media ecosystem, connecting format adaptation with the same content production capabilities used to understand, edit and transform sports media.
From One Feed to Every Screen
Every sports feed contains moments that can reach audiences far beyond the screen for which the original video was produced. The challenge is adapting those moments without repeatedly rebuilding the content for every new format.
InBrief uses AI to follow the visual focus of sports video and automatically reframe content for different screens, connecting landscape media with vertical, square and portrait-oriented experiences as part of the wider production workflow.
Create the moment once. Adapt it for every screen.
Frequently Asked Questions
What is AI video reframing?
AI video reframing is the use of artificial intelligence to adapt an existing video to a different aspect ratio while dynamically adjusting the visible area according to the content of the scene. It can help preserve important subjects and action when converting video between landscape, portrait and square formats.
What is the difference between AI reframing and video cropping?
A fixed crop selects one area of the original frame and keeps that area unchanged. AI reframing can adjust the selected area over time according to the movement and visual focus of the scene, making it more suitable for dynamic content such as sport.
Can InBrief convert 16:9 sports video to vertical 9:16?
Yes. InBrief can automatically reframe sports video for formats including 9:16, following the visual focus of the scene so that important action remains visible inside the new composition.
Which video formats can InBrief reframe content for?
InBrief can adapt content for formats including 9:16, 1:1 and 4:5, allowing source media to be reused across different digital and social environments.
Can AI reframing be used with sports highlights?
Yes. AI sports highlights can continue through automated reframing workflows so that the same highlight or compilation can be adapted for different screens and destinations.
How does video reframing relate to AI sports video editing?
AI sports video editing determines how moments are prepared and assembled as content, while video reframing adapts the visual composition of that content to the aspect ratio of its destination. The two processes can operate as consecutive parts of the same workflow.
Can AI video reframing be part of an automated workflow?
Yes. Reframing can operate as one component of sports content automation, following moment identification, clipping and editing and preceding downstream content preparation or publishing processes.
Can editors refine automatically reframed content?
Yes. InBrief combines automation with professional editorial workflows, allowing teams to review and refine automatically prepared content when a particular moment requires additional creative or editorial control.