Dialogue scene with characters
Characters, lines, and timing are assembled in one project: visuals generated, dialogue voiced, vertical format ready for publishing.
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.
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.
If your task is different
This page is about assembling a finished video. First takes and image animation are shorter workflows.
A real Givon AI result, from character frames to a voiced vertical dialogue without external editing.
Characters, lines, and timing are assembled in one project: visuals generated, dialogue voiced, vertical format ready for publishing.
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.
Scenes, control, and voiceover are different jobs. The catalog has a model for each, and you can switch inside the same project.
4-15s · native audio · start and end frames · up to 9 references
Fast scenes with sound, useful for early draft assembly.
3-10s · start and end frames · up to 7 references
Precise scene control when the result must match the idea closely.
8s · native audio · start and end frames · up to 3 references
Cinematic takes for key scenes in the video.
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.
Start with 2-3 scenes: opening, main action or demonstration, and final accent.
Create several takes per scene in Seedance, Kling, Veo, or Wan, then place the best take into the scene.
Move strong frames and references to the library so product, character, and style hold across scenes.
Check how the scenes read together with text and voice while the draft is still easy to change.
Watch twice: with sound and without. If the message works in both modes, the structure is solid.
Export the final version and keep successful scenes and references in the library for the next release.
Build a video with an opening frame, product demonstration, and final CTA.
Reuse structure, style, and saved references from episode to episode.
Break a complex idea into clear scenes and reinforce the message with voiceover and captions.
Show a video structure before final production and replace scenes based on feedback.
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.
A video is built in parts: intro, demonstration, accent. Each part can be checked and replaced separately.
Voice is generated from text in the same project, and captions are visible in context before export.
The library is shared across projects, so key frames return to new scenes without re-uploading.
The video is assembled directly for 1080x1920 vertical export instead of being adapted elsewhere.
Quality depends on the task, source materials, and number of attempts. Here is what to account for before publishing.
Generation produces variants. The result comes from choosing: generate several takes per scene and compare them by task.
Many events, characters, or locations in one prompt make the result hard to control. Work scene by scene.
Scene rhythm may not match voice or text. Review readability before export while edits are still cheap.
Review pacing, voice, captions, rights, and platform requirements in the assembled video.
Without reused references and structure, each episode starts from zero and visual style drifts.
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.
A weak fragment can be replaced separately, strong scenes stay in place, and feedback becomes specific: which scene and what needs to change.
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.
The main standard is 1080x1920 vertical video (9:16) for Reels, TikTok, and YouTube Shorts.
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.
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.
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