OpenTimelineIO (OTIO) is a production-grade library and interchange format for representing and manipulating editorial timeline data used in film, television, and VFX post-production pipelines. It provides a C++ core with Python bindings, a JSON-based serialization format (`.otio`), a plugin system for adapters (AAF, EDL, FCP XML, etc.), media linkers, hook scripts, and custom schemas. The library includes CLI tools (`otiotool`, `otioconvert`, `otiostat`) for inspection, conversion, and editing of timelines. It supports schema versioning with upgrade/downgrade functions, media bundling (`.otioz`/`.otiod`), and editing algorithms (trim, slice, overwrite, etc.). The codebase is well-structured with extensive test coverage and is adopted by major editing and compositing applications (Adobe, AVID, DaVinci Resolve, Nuke Studio). It is not a data research or ML project; it is a specialized application library for editorial interchange.
StoryToolkitAI is a video editing toolkit that leverages AI to enhance post-production workflows. It operates in dual modes (GUI and CLI) with core functionality centered around transcription, semantic search, speaker diarization, and integration with DaVinci Resolve Studio. The application enables users to transcribe media files, search content using natural language, generate stories via LLM assistance, and export to professional editing formats (EDL, XML, Fountain). Key architectural elements include a plugin-based system for LLM providers, a persistent task queue with dependency tracking for CPU/GPU workloads, and project-based file linking for unified search across media assets. The tool emphasizes local processing with optional external API usage for advanced features.