carocut-planner-analysis

To extract images and text from PDFs for video production planning, supply your source PDFs to generate a structured inventory.yaml and a raws/ directory that organizes all extracted media assets for downstream processing.

A raws directory organizes extracted video production materials by categorizing media into structured subdirectories like raws/images, raws/videos, and raws/audio, ensuring predictable asset management and feeding downstream planning stages.

Yes, you can use URLs and images alongside PDFs for inventory extraction. The tool applies content extraction across these mixed sources to decompose media and generate a centralized data.json file.

To generate a structured data.json and inventory.yaml from raw video assets, provide your source files for automatic decomposition. The system extracts text, images, and tables, then outputs these structured files for end-to-end planning.

PDF decomposition for video planning includes robust error handling during media extraction. If source files are problematic, the system applies error management protocols to ensure clear output formats and prevent planning workflow interruptions.

The best way to automate raw material cataloging for downstream video planning is to input PDFs, images, and URLs directly to generate a centralized inventory.yaml, which feeds structured data into media and reviewer stages with minimal manual setup.