Write once, generate every scene
Paste a story or outline and the AI breaks it into scenes, generates matching images with your chosen image model, and animates each one into video — preserving character and setting consistency.
Story to video AI for creators who think in narratives, not timelinesWrite the story. Watch AI turn it into cinema.
oVideo's Story to Video pipeline takes your script, generates scene-by-scene images with AI, animates each frame using Kling Pro or Veo image-to-video models, adds professional voiceover and music, then exports a polished short film — all without opening a video editor.
Scene-by-scene AI generationKling Pro & Veo i2v modelsAI voiceover & background musicCharacter consistency across scenes
Choose your video and image models
Select from Kling Pro, Veo, or other image-to-video models for animation quality. Pair with GPT-Image, Flux, or other image models for scene generation. Mix and match to balance quality and cost.
Professional narration and soundtrack
AI narration in 30+ languages is synced to each scene automatically. Add background music from the built-in library to complete the cinematic feel.
How Story to Video works in four steps
From a rough idea to a complete short film, the pipeline handles everything that used to require a team.
publish faster
- 1
Write or paste your story script — the AI analyzes beats, characters, and settings.
- 2
Choose your image model (GPT-Image, Flux, etc.) and video model (Kling Pro, Veo i2v) for scene generation.
- 3
Preview the storyboard with generated images, reorder scenes, and tweak prompts as needed.
- 4
Hit render — the AI animates scenes, adds voiceover and music, generates captions, and exports a finished MP4.
Stories that come alive with AI video
Any narrative format can become a short video in minutes instead of weeks.
Children's bedtime stories with animated characters
Historical event explainers and mini-documentaries
Brand origin stories for social media
Fiction and fantasy shorts for YouTube channels
Educational case studies with scene-by-scene visuals
Reddit-style story narration videos
Related guides
Frequently asked questions
- Which AI models are used for Story to Video?
- Scene images are generated using models like GPT-Image or Flux (text-to-image). Each scene is then animated using image-to-video models like Kling Pro or Veo. You choose both the image and video model per project.
- Can characters stay consistent across scenes?
- Yes. The AI maintains character descriptions and visual prompts throughout the storyboard. Using the same image model and seed settings helps ensure faces, clothing, and environments stay consistent.
- How long can a story video be?
- Each scene is typically 5–10 seconds. You can create stories with multiple scenes for total videos up to several minutes. The sweet spot for social publishing is 30–90 seconds.
- Can I edit individual scenes after generation?
- Yes. The storyboard view lets you regenerate, reorder, or replace individual scenes before the final render. You can also fine-tune in the built-in scene editor.
- Does it include voiceover and music?
- Yes. AI narration is generated in your chosen language and voice, automatically synced to scene timing. You can also select background music from the built-in track library.