Storyblocker is a mobile app that uses a 3D-based virtual production workflow to help creators visualize stories from concept to final production. The platform combines augmented reality, real-time 3D camera controls, and generative AI style transfer to let users compose scenes, place characters, and adjust camera angles in any environment. It also includes performance capture via motion capture to control character poses, with an asset library and text-to-3D technology for building custom scenes.
Funding
Funding not disclosed
Founders
Product
Problem
Traditional storyboarding and pre-visualization rely on static 2D drawings or manual photo mockups, which are time-consuming, difficult to revise, and fail to convey camera movement, depth, or lighting. This makes it hard for filmmakers, content creators, and production teams to communicate their visual vision clearly before committing to expensive shoots or animation work.
Solution
Storyblocker provides a mobile 3D-based pre-visualization platform that lets anyone turn a story idea into a visual plan using augmented reality and artificial intelligence. Users can place characters and objects into real-world or virtual 3D environments, then control a virtual camera to adjust angles, focal lengths, and composition in real time. The app includes generative AI style transfer to change the look of a scene, and performance capture technology to pose characters naturally. This allows directors, storyboard artists, and independent creators to iterate quickly on shot lists and storyboards without needing a full production team or expensive software.
Target Audience
Primary users are filmmakers, storyboard artists, video content creators, and small production teams who need a fast, flexible way to pre-visualize scenes and shot sequences before production.
Features
- Real-time 3D canvas with virtual camera controls for adjusting angles and focal lengths
- AR virtual production combining live action with augmented reality and AI elements
- Generative AI style transfer with premade styles to alter the visual look of compositions
- Performance capture using motion capture to control character poses
- Text-to-3D technology for generating custom 3D assets from text prompts
- Vast built-in asset library for populating scenes with characters and objects