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AI Editing for Video and Photo Revisions

AI editing is the process of revising an existing video or image by supplying source input and a change request, then generating an updated output for comparison and export. It is useful for creators and teams that need targeted revisions without rebuilding the asset from scratch. Vidu helps you test the edit and choose the version that fits your goal.

AI Editing Types: Photo, Video, and Motion

Separate the editing task before choosing a Vidu workflow. Photo editing changes still images, video editing reshapes clips, and motion editing controls how subjects move through a scene.

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AI Photo Editing

Use photo editing when your source is a still image and you want to change the background, adjust objects, refine the style, clean up details, or improve visual quality before reuse.

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What AI Editing Means in Vidu

AI editing changes existing content with AI-assisted workflows. In Vidu, you start with a source video or image and apply targeted changes such as cleanup, style shifts, scene adjustments, motion control, or quality improvement. For video-specific revisions, source clip transformations help you restyle footage, redirect motion, and compare new results from the same original asset.

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AI Editing Decision Table for Video Revisions

Use this table to choose the right Vidu video-editing path when you already have a short source clip and a specific change request. It compares how the edit is guided, what signals you review, and what kind of revised output you should expect before exporting. If motion quality is the main issue, focus on the revision path that helps you assess smoothness and movement consistency before export.

Decision AreaVidu Video Editing
Manual Or Generic Workflow
Source clip fitStart with a 1–8 second video that already contains the moment you want to revise.Often requires trimming, masking, or rebuilding the source before edits can begin.
Change instruction qualityDescribe the exact swap or scene change you want, such as a character, object, or background update.Usually depends on layered instructions across multiple tools or hand-edited timelines.
Reference guidanceAdd a reference image when you want the new version to follow a specific visual direction.Generic editing often needs manual matching of style, framing, and subject details.
Aspect ratio planningChoose the target ratio before generating so the revised clip matches the intended layout.Other workflows may need separate reframing or reformatting after the edit is done.
Review signalCompare the generated version against the original to check whether the requested change is clean and believable.Review often happens across separate drafts, making it harder to judge the final edit in one pass.

How to Use AI Editing

Step 01

Upload Source Video

Select an existing clip or upload a new 1 to 8 second video as the source footage for the AI Video Editor.

Step 02

Add Reference and Prompt

Upload a reference image, then describe the edits you want, such as changing characters, objects, or backgrounds, and choose the aspect ratio or output length if needed.

Step 03

Create and Review

Click Create to generate the edited video, then preview the result and download or export it after checking that the transformation looks right.

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Feedback-Ready Creator Posts

Turn rough creator content, social posts, or campaign ideas into a cleaner draft that is ready for feedback. Instead of rebuilding the asset from scratch, you can revise the existing version into something more presentable and easier to judge on its own. The review outcome is a sharper draft that shows whether the core idea, tone, and visual direction are worth keeping. This matters when you need to move fast, align stakeholders, and turn early concepts into something the team can confidently refine.

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Brand-Fit Campaign Cuts

AI editing helps teams shape a rough marketing concept into a polished early asset that people can judge on screen, not just imagine from a brief. It works well when a campaign team needs to test the visual direction, pacing, message clarity, or brand fit before committing more production time. The result is an easier first version to discuss, with visible choices around style and structure that make feedback more focused. That early read can prevent expensive rework and keep creative decisions tied to the goals of the campaign.

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Brief-Matched Team Assets

Share an early AI-edited draft with your team to gather clear feedback before you commit to a final version. This use case helps reviewers quickly see whether the revised video or image matches the brief, feels on-brand, and is worth refining further. It matters because team review reduces guesswork, aligns stakeholders faster, and helps you move from first draft to a more confident final asset.

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Prompt Formula for AI Video Editing

Use this formula to tell Vidu which single source clip to edit, which reference image and change request to apply, and what the finished revision should preserve or replace after Create. It helps you write focused prompts for clean video revisions, stable scene details, and a result you can compare against the original.

Source Clip Anchor

Name the one uploaded video Vidu should edit and state the subject, scene, and any elements that must stay unchanged, so the workflow starts from the correct footage and the revision remains tied to that original clip.

Reference-Led Edit Brief

Add a reference image and describe the exact replacement or refinement you want, such as a character, object, or background change, plus any style or mood details that should guide how Vidu transforms the scene.

Edited Result Check

State what the new video should look like after Create, including the parts that should match the source, the changes that should appear clearly, and any motion or framing details you want to review before exporting.

What Teams Check After an AI Editing Draft

AI Editing Creative Uses

Explore practical ways AI editing helps teams reshape visuals, strengthen campaigns, and turn existing clips or images into sharper audience facing assets.

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Product Reveal Clips

Turn a simple product shot into a polished reveal with cleaner motion, stronger atmosphere, and visual changes that make the feature feel more memorable.

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Frequently Asked
Questions

AI editing is a workflow for revising an existing video or image with targeted changes instead of starting from scratch. In Vidu, you can use text to video, image to video, or reference to video workflows to adjust elements like background, style, or scene direction, which is useful for product ads, social content, and cinematic revisions. Vidu helps you compare the result against your goal before you export, so check your current workspace settings for what your account can generate.

Start Editing with AI

Use Vidu to revise an existing video or image, then compare the edited result against the original before using it further.

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