Runway's new tool expands video borders on demand
Runway just launched 'Expand Video', an AI feature that changes video aspect ratios by generating matching scenery outside the original frame using text prompts. Stacking multiple expansions lets creators fake dramatic camera pull-backs and crash zooms. It is rolling out gradually to Gen-3 Alpha Turbo users.

Cropping a horizontal video for TikTok usually means sacrificing half your shot or settling for ugly black bars.
Now, Runway is building beyond the frame.
The AI video startup has rolled out a new feature called Expand Video. Basically, it brings generative outpainting to dynamic footage, allowing creators to alter video aspect ratios by generating new content around original clips using text prompts.
Beyond the black bars
While AI outpainting has been standard for still images for a while, pulling it off in moving video is a massive technical leap. The generated borders have to stay visually consistent not just spatially, but across every single frame over time.
Runway claims the system works to maintain that visual consistency while adding fresh real estate to the shot. The rollout is currently rolling out gradually to Gen-3 Alpha Turbo subscribers, with tutorials already live on the company's Runway Academy.
Faking cinematic camera moves
There is a clever creative twist here beyond just reformatting aspect ratios.
Runway points out that users can string together multiple video expansions to create simulated camera movement. By repeatedly outpainting outward, you can transform what was once a static clip into dynamic cinematic sequences, like dramatic pull-backs or crash zooms.
In practice, it doubles as both a formatting utility and a zero-budget virtual camera operator.
Why it matters
We think this targets one of the most frustrating bottlenecks in modern digital production: multi-platform repurposing. Turning landscape projects into vertical social clips usually breaks the framing, but intelligent outpainting completely changes that workflow.
It also marks an important shift for the AI video sector. Novelty text-to-video generations are everywhere, but real studio adoption hinges on precise editing controls. Giving filmmakers the ability to reshape frames and fake camera motion makes AI footage vastly more practical in actual timelines.
The obvious question will be consistency over longer runs. Successive outpaintings in video risk visual drift, artifacting, and edge distortion as the AI guesses further away from the source footage. Still, marrying aspect ratio conversion with cinematic motion is a genuinely smart move that competitor platforms will likely rush to match.
Sources (2)
- @runwayml(opens in a new tab)Originaltwitter.com
- the-decoder.com(opens in a new tab)Reportthe-decoder.com