AI video editing in Runner AI turns a prompt, a selected model, and eligible project media into a reviewable video result on the Creative Studio canvas. Instead of separating the edit from the store project, operators can inspect the output beside saved campaign and product assets, keep the source available, and decide how the result should be reused.
How AI video editing works in Runner Creative Studio
Runner AI places video work inside Creative Studio, the visual canvas available from a store project. An operator can begin with a prompt alone for supported text-to-video generation, select an image for image-to-video work, or select an eligible video before opening a supported video workflow. The model picker groups available options by generation type and exposes the selected model’s input and output requirements, so the operator can check the expected media count before starting a job.
Selecting Run queues the current prompt, model, and canvas inputs. The Generations panel keeps running, completed, failed, and interrupted jobs visible while other canvas work continues. After a successful job, the completed media appears on the canvas and is saved to the project’s Media Library. That result is reviewable rather than automatically published: the operator can compare it with the source, inspect whether the requested change is present, and keep or discard the canvas item without changing the saved original.
This workflow is narrower than the AI video generator for ecommerce, which covers planning new video creative from catalog and campaign context. AI video editing owns the next evaluation question: how an existing or generated media input is selected, processed, reviewed, and reused inside the project.
Use selected media instead of rebuilding the brief
Generic AI video editors often begin with an isolated upload and a blank project. Runner AI begins inside a store project where generated assets and saved project media can already be available. The Asset tray can show media from the current conversation or the wider project, and Add to canvas places an available asset into the working area. For supported edits, the operator selects the required source before choosing the model or workflow rather than describing an unseen file from memory.
The prompt should state the change that matters and the constraint that must remain stable. For a product clip, that may mean preserving the product shape while changing the scene treatment, extending a short shot, or preparing motion from a selected still. The exact options depend on the selected model and media type. Runner exposes those requirements before the run, and an unavailable control remains unavailable until the required selection exists.
Keeping source and result on the same canvas makes comparison practical. The operator can retain the original asset, inspect the generated output, undo supported canvas changes, and remove only the unwanted canvas item. Deleting a canvas item does not delete the saved asset from Media Library. That separation matters when a team is exploring a direction but has not approved it for a product page or campaign.
Review video outputs before channel reuse
The strongest reason to keep AI video editing in the store project is not automatic publication. It is review context. A completed output can be checked against the selected source, the prompt, the intended product, and the channel where it may appear. The operator should confirm that products, colors, text, motion, and backgrounds remain appropriate before downloading or reusing the result. A successful generation state means media was produced; it does not prove product accuracy or campaign fit.
Creative Studio supports additional actions when the selected media and current availability allow them. One selected video can expose workflows such as Extend video or Remove video background. A selected video can also be converted with Export GIF, which produces a downloadable GIF while leaving the original video unchanged if conversion fails. These are explicit, reviewable actions rather than a claim that every model supports every edit.
For teams coordinating still and motion assets, AI product photography for ecommerce explains the adjacent image workflow. The same review discipline applies: preserve the source, verify the output against the real product, and separate creative exploration from a decision to publish.
Keep the edited asset connected to campaign work
Video editing becomes more useful when the result can stay with the project instead of disappearing into a download folder. Successful Creative Studio generations save to Media Library, where project assets can be found again. The canvas can combine generated and uploaded images or videos, while selection-aware controls help the operator act on the media type that is actually present. This creates a practical handoff from generation or editing to later campaign review without claiming that Runner publishes the asset automatically.
The project context also helps a team prepare channel variants deliberately. A product-page clip, a social crop, and a campaign animation may share a source but still require different framing and review. Runner’s public Creative Studio examples show product-page and social video treatments, while the product workflow keeps the operator responsible for choosing the model, supplying eligible inputs, and reviewing the completed result. The AI ecommerce ad creative generator covers the adjacent task of connecting approved creative directions to paid campaign work.
Use the Runner AI feature catalog when the next task concerns storefront building, conversion, or commerce operations rather than media creation. Keeping each intent with one workflow prevents a video-editing page from making unsupported promises about the rest of the store.
Edit the selected product video using my source clip, product reference images, and prompt. Return a reviewable edited video on the project canvas, preserve the original asset, and do not publish the result.
Open AI video editing in Runner AI
AI video editing FAQ
What inputs can I use for AI video editing in Runner AI?
Creative Studio can start from a prompt, selected images, or eligible selected video, depending on the chosen model or workflow. The model picker identifies text-to-video and image-to-video options and their input requirements. Add project media to the canvas, select the required source, and confirm the exact media count before running the job.
Where does a completed video appear?
After a supported generation succeeds, the output appears on the Creative Studio canvas and saves to the project’s Media Library. The Generations panel shows the job state while it runs. Review the completed asset on the canvas before downloading, converting, or reusing it, because a successful job does not confirm product or campaign accuracy.
Can Runner AI remove or change a video background?
A selected video can expose Remove video background when that workflow is available. Availability depends on the selected media, model access, funding, and current product controls. Treat the result as a draft: compare it with the source and verify edges, product details, motion, and brand suitability before any reuse.
Does Runner AI publish an edited video automatically?
No. Creative Studio produces a reviewable canvas and Media Library asset after a successful job. The operator chooses what to keep, download, or reuse. Removing an item from the canvas does not delete its saved Media Library asset, and generating or editing media does not by itself authorize publication to a storefront or campaign.