# StorySplitter AI

> StorySplitter AI is a high-performance, client-side web utility engineered for AI filmmakers, visual directors, concept designers, and animators. It automatically detects, crops, aligns to cinematic aspect ratios (16:9, 9:16), and batch-exports individual panels from multi-frame storyboard sheets generated by Midjourney, Stable Diffusion, Flux, DALL-E 3, or hand drawings. Everything runs 100% locally in the browser with zero server uploads and full offline support.

StorySplitter AI solves the pre-visualization bottleneck in generative video production: extracting dozens of individual shot panels from contact sheets without manual cropping in Photoshop. It features an adaptive computer vision edge detector (with k-NN feedback learning), interactive uniform grid generators, 8-point bounding box canvas controls, in-canvas label renaming, burn-in label badges, multi-page sequence management, and ZIP batch packaging.

## Quick Start & Web Application

- [StorySplitter AI Web Application](https://storysplitterai.com/): Free client-side web application for instant storyboard slicing and batch exporting.
- [Complete Single-File LLM Context](https://storysplitterai.com/llms-full.txt): Comprehensive single-file documentation, technical architecture, and FAQs for LLM ingestion.

## Documentation & Core Capabilities

- [Architecture & Overview](https://storysplitterai.com/docs/overview.md): High-level system overview, core pillars, and client-side privacy architecture.
- [Features & Tooling Reference](https://storysplitterai.com/docs/features.md): Exhaustive guide to Auto-Detection, Uniform Grid Mode, Custom Cropping, Aspect Ratio Locks, and Zoom controls.
- [Aspect Ratios in AI Film](https://storysplitterai.com/docs/aspect-ratios.md): Proportions guide comparing 16:9 cinematic widescreen, 9:16 vertical shorts, 1:1, 4:3, and how aspect locking prevents video diffusion artifacts.
- [Production Workflows & Integrations](https://storysplitterai.com/docs/workflows.md): Step-by-step pipelines connecting Midjourney, Stable Diffusion, and ComfyUI with Runway Gen-3, Luma Dream Machine, Kling AI, and Pika Labs.
- [Sessions & Data Formats](https://storysplitterai.com/docs/sessions-and-data.md): Technical specification of the `.storysplitter` zip bundle format, coordinates JSON schema, and IndexedDB local caching.

## Tutorials & Guides

- [How to Split Midjourney or Stable Diffusion Storyboards in Seconds](https://storysplitterai.com/blog/): Tutorial on importing clustered AI sheets, auto-detecting panel borders, and exporting clean ZIP sequences.
- [The Future of AI Filmmaking: Optimizing Your Storyboard Workflow](https://storysplitterai.com/blog/): Production guide on character sheet consistency, zero-server privacy, and session recovery.
- [Aspect Ratios in AI Film: 16:9 vs 9:16 vs Freeform Cropping](https://storysplitterai.com/blog/): Deep dive into canvas proportions, video diffusion letterboxing prevention, and composition standards.

## Optional

- [Open Source GitHub Repository](https://github.com/alperenborklu-cyber/storysplitterai): Source code, issue tracker, Vite build configuration, and open-source contributions.
- [Sitemap](https://storysplitterai.com/sitemap.xml): XML sitemap listing indexable web routes and documentation resources.
- [RSS Feed](https://storysplitterai.com/feed.xml): Machine-readable XML feed of articles, releases, and workflow guides.