AI video editor for scene-based production

When you need a finished video, not just one generated clip: split the idea into scenes, generate visuals, add text-to-speech voiceover and timeline captions, then export vertical video for Reels, TikTok, and Shorts.

Build the first videoNo card required. Start with one scene and assemble the first draft.

An AI video editor matters when the task does not end with one clip. The video is assembled from scenes: each scene can have its own visual, text, and voiceover, and a weak part can be replaced without rebuilding everything else.

In Givon AI, generation, library, references, voiceover, and captions are connected inside one project. Voiceover is generated from text with voice selection, captions are edited on the timeline, and export produces 1080x1920 vertical video without moving drafts between services.

Example: a scene assembled in one workspace

A real Givon AI result, from character frames to a voiced vertical dialogue without external editing.

Dialogue scene with characters

Characters, lines, and timing are assembled in one project: visuals generated, dialogue voiced, vertical format ready for publishing.

How to write the prompt

A prompt should describe content: subject, action, camera, light, and style. Duration, aspect ratio, and resolution are generation settings, not prompt text.

Weak

Make a cool vertical ad video.

Better

A three-scene video: 1) close-up of the product on a light background, 2) short camera move showing a detail, 3) final frame with space for text and calm voiceover.

Models inside the editor

Scenes, control, and voiceover are different jobs. The catalog has a model for each, and you can switch inside the same project.

Seedance 2.0

4-15s · native audio · start and end frames · up to 9 references

Fast scenes with sound, useful for early draft assembly.

Kling O1

3-10s · start and end frames · up to 7 references

Precise scene control when the result must match the idea closely.

Veo 3.1

8s · native audio · start and end frames · up to 3 references

Cinematic takes for key scenes in the video.

Eleven v3

text-to-speech

Text-to-speech voiceover with voice selection, added directly to the project.

The catalog keeps evolving, and available modes plus token costs depend on the current publication. The full list is inside the editor.

How it works

  1. 01

    Split the idea into scenes

    Start with 2-3 scenes: opening, main action or demonstration, and final accent.

  2. 02

    Generate key episodes

    Create several takes per scene in Seedance, Kling, Veo, or Wan, then place the best take into the scene.

  3. 03

    Save materials

    Move strong frames and references to the library so product, character, and style hold across scenes.

  4. 04

    Add voice and captions

    Check how the scenes read together with text and voice while the draft is still easy to change.

  5. 05

    Watch the full video

    Watch twice: with sound and without. If the message works in both modes, the structure is solid.

  6. 06

    Export and keep the structure

    Export the final version and keep successful scenes and references in the library for the next release.

Best use cases

Ads and promos

Build a video with an opening frame, product demonstration, and final CTA.

Reels series

Reuse structure, style, and saved references from episode to episode.

Explainer videos

Break a complex idea into clear scenes and reinforce the message with voiceover and captions.

Client drafts

Show a video structure before final production and replace scenes based on feedback.

Why scenes work better than one large prompt

When you try to generate a whole video with one prompt, one weak fragment breaks the entire result and cannot be fixed separately. A scene-based workflow lowers the cost of mistakes: rebuild one scene while the rest stays.

If you work with a product, character, or brand style, save key materials to the library and reuse them as references in the next scenes. This keeps the video visually connected even if scenes were generated at different times.

Why Givon AI

Scene assembly instead of one run

A video is built in parts: intro, demonstration, accent. Each part can be checked and replaced separately.

Voiceover and captions beside scenes

Voice is generated from text in the same project, and captions are visible in context before export.

References stay available

The library is shared across projects, so key frames return to new scenes without re-uploading.

Format is known in advance

The video is assembled directly for 1080x1920 vertical export instead of being adapted elsewhere.

What to keep in mind

Quality depends on the task, source materials, and number of attempts. Here is what to account for before publishing.

The editor does not replace take selection

Generation produces variants. The result comes from choosing: generate several takes per scene and compare them by task.

Complex stories need scenes

Many events, characters, or locations in one prompt make the result hard to control. Work scene by scene.

Check voiceover and captions together with video

Scene rhythm may not match voice or text. Review readability before export while edits are still cheap.

The final version needs a full watch

Review pacing, voice, captions, rights, and platform requirements in the assembled video.

Series consistency depends on saved materials

Without reused references and structure, each episode starts from zero and visual style drifts.

FAQ

How is the AI video editor different from a generator?

A generator creates a separate clip. The AI video editor assembles clips into a full video where scenes, references, voiceover, captions, and export live in one project.

Why build a video by scenes?

A weak fragment can be replaced separately, strong scenes stay in place, and feedback becomes specific: which scene and what needs to change.

How does voiceover work?

Write the line and choose a voice. The audio track is generated inside the project and can be attached to a scene or the whole video.

What format does export use?

The main standard is 1080x1920 vertical video (9:16) for Reels, TikTok, and YouTube Shorts.

Can I use my own materials?

Yes. Upload photos and videos to the project or library. They can become scenes, sources for edits, or references that keep product and character consistent.

Is it free to try?

Registration does not require a card. Starter tokens cover the first scenes; after that you can use a plan or buy more tokens. Unused tokens do not expire.

Create your first result in Givon AI

No card required. Start with one scene and assemble the first draft. After the first result, save the asset and keep working in the same project.

Build the first video

Useful links