AI Video Editing Tutorial for Beginners

AI video editing does not have to mean generating an entire video from one prompt. A more controllable beginner workflow is to keep the strongest parts of your original footage, transform selected clips with AI, and then assemble everything in a timeline editor.

This AI video editing tutorial explains that hybrid workflow using Kaiber and Filmora. You can follow the written steps independently or watch the original demonstration below.

Watch the AI Video Editing Tutorial

Important update: The video demonstrates Kaiber’s earlier Transform an Existing Video interface. Kaiber now organizes its tools into Canvas, Beat Sync, and Editor, so some buttons and menu names have changed. The core technique remains useful: divide the source footage, create AI-styled replacements for selected clips, and combine the original and generated footage into one final edit.

What You Will Create

The goal is a video that switches between normal footage and AI-generated visual styles. Instead of transforming the entire source clip, you select specific sections for the AI effect. This gives you more control over pacing and makes it easier to hide unstable generations.

Keep the clearest original shots as visual anchors.
Transform selected sections into stylized AI video.
Use short clips so mistakes are easier to replace.
Add transitions, audio, and final timing in a timeline editor.
Export one finished video for YouTube or social media.

Tools Used in This AI Video Editing Workflow

Kaiber

Kaiber’s current suite connects three workspaces. Canvas is used to generate and remix images, video, and audio. Beat Sync creates music-synchronized variations from uploaded media. Editor provides a timeline for sequencing clips, layering audio, adding transitions and text, and preparing different aspect ratios. See our Kaiber AI guide before starting.

Filmora or Another Timeline Editor

The original workflow uses Wondershare Filmora to split the source footage, replace selected sections, add transitions, and export the finished edit. You can try Filmora here, or apply the same method in another editor that supports timeline cutting and clip replacement.

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AI Video Editing Tutorial: Step by Step

1. Plan Where the AI Effects Will Appear

Watch the source video from beginning to end and mark the sections that would benefit from an AI transformation. Choose shots with a clear subject, readable motion, and enough visual separation from the background. Fast cuts, heavy motion blur, and crowded frames can make style changes less predictable.

For the demonstration, a 40-second video is divided into seven sections. The second, fourth, and sixth sections are exported for AI processing, while the other clips remain unchanged. This alternating structure creates contrast without requiring every second of footage to be regenerated.

2. Split and Export the Selected Clips

Import the original video into Filmora.
Place it on the timeline and cut at each planned transition point.
Select the clips you want to transform.
Export each selected section using the same aspect ratio, frame rate, and resolution as the main project whenever possible.
Keep the clips short and label them in timeline order.

Consistent export settings reduce visible jumps when the AI-generated clips are placed back into the project. Do not delete the original sections yet. Keep them on a backup track or duplicate the project before replacing anything.

3. Create the AI-Styled Clips in Kaiber

Open Kaiber Canvas and choose a workflow that accepts your source media or reference frame. The available models and controls can change, so select the workflow that best matches the result you need rather than searching for the exact legacy button shown in the video.

Upload the exported clip or a clean frame that represents the shot.
Choose a video workflow and model that supports the required input.
Describe the visual style, subject, movement, camera behavior, and atmosphere clearly.
Generate a preview or short variation before spending credits on additional attempts.
Check the subject, motion, composition, and first and last frames.
Download the best result and repeat the process for the remaining selected clips.

The original demonstration experiments with different stylized prompts, including steampunk and anime-inspired treatments. You do not need to copy those styles. Use one consistent visual direction when the clips are meant to feel like the same scene, or deliberately change styles when the effect is part of the story.

4. Reassemble the Video in Filmora

Return to the original timeline and import the generated clips. Replace the second, fourth, and sixth sections while keeping the surrounding footage in its original order. Align each replacement precisely with the old cut points so the overall duration and audio timing remain stable.

Add short dissolve transitions only where they improve the switch between the original and AI-generated footage. If a transition hides important movement or makes the sequence feel soft, use a direct cut instead. The best choice depends on the visual continuity of the two clips.

5. Review and Export the Final Video

Watch the complete sequence at normal speed.
Check for repeated frames, warped subjects, or sudden composition changes.
Balance music, dialogue, and sound effects.
Confirm that every clip fills the intended aspect ratio.
Export at the resolution and frame rate required by your publishing platform.

What Changed in Kaiber Since the Original Video?

Original tutorial	Current Kaiber workflow
Transform an Existing Video	Use an appropriate generation or remix workflow in Canvas.
Separate AI generation dashboard	Canvas handles AI image, video, and audio generation.
External editing required for every finish	Kaiber Editor can now sequence clips, layer audio, and add transitions or text, while Filmora remains useful for a more detailed edit.
Manual music-video assembly	Beat Sync can create music-synchronized variations from uploaded visuals.

Kaiber’s official documentation describes Canvas, Beat Sync, and Editor as connected tools that share a Media Library. This makes it possible to generate assets, create music-synced variations, and finish an edit without repeatedly uploading the same files. Filmora’s current toolkit also includes timeline editing and AI-assisted features, but the practical workflow in this article does not require every AI feature.

Tips for Better AI Video Editing Results

Start with clean footage: A clear subject and stable composition give the model a stronger reference.
Transform shorter sections: Short clips are easier to regenerate and replace when the result fails.
Match the endpoints: Similar first and last frames make transitions less distracting.
Keep prompts focused: Describe the movement and visual direction without combining too many conflicting styles.
Preserve the original audio: Keeping one continuous audio track can make mixed-source footage feel more cohesive.
Review before upscaling: Do not spend extra credits improving a clip with obvious motion or anatomy errors.
Design for the platform: Use 16:9 for standard YouTube videos, 9:16 for Shorts and Reels, or the format required by your project.

Additional Creator Resources

AI Video Editing FAQ

Do I need to transform the entire video?

No. Replacing selected sections is usually easier to control and can create a stronger visual contrast. It also reduces the number of clips you need to generate.

Can I use another editor instead of Filmora?

Yes. The workflow works in any editor that can split footage, replace individual clips, add transitions, manage audio, and export the final sequence.

Why does my Kaiber screen look different from the video?

The embedded tutorial uses an older Kaiber interface. The current product is organized around Canvas, Beat Sync, Editor, and a shared Media Library. Follow the workflow described in this updated article when the legacy buttons are no longer available.

Final Thoughts

The most reliable beginner approach is to treat AI as one stage of the edit, not the entire production process. Use AI for the shots where a transformation adds value, keep the strongest original footage, and finish the pacing and continuity in a timeline editor. This gives you more control than trying to generate one perfect finished video in a single attempt.