NAG ALL: desktop organization and AI categorization for 3D libraries

Organizing models, previews and textures

The organizer handles local folders and compressed asset packages. Its configuration separates the source location from the organized output and lets users choose how models, preview images and textures should be grouped. Some patterns centralize files, while others keep each asset in its own folder. The desktop interface previews these structures before processing, giving the user a defined arrangement for the resulting library.

This required coordination between the interface and native file processing. Archive handling, preview discovery and the selected organization pattern feed the same job, with processing controls and logs available in the application. Batch mode extends that workflow across subdirectories, so a larger collection can be processed as a sequence of identifiable jobs.

Using preview images to categorize assets

The AI workflow starts from the asset’s preview image. The desktop application prepares thumbnails and submits them to the backend, where a processing queue sends the images for classification against the selected category set. The response is parsed into category and subcategory fields that the organizer can apply to the local files.

Blurr connected classification progress back to the desktop job. As results become available, the application can organize completed assets and continue tracking the rest of the queue. It records successful and failed processing, and handles unrecognized files as part of the final organization step. AI therefore produces structured information used by the file workflow, with visible progress from submission to the organized result.

Making processing and usage visible

Long-running library jobs need controls and feedback. NAG ALL presents stage progress, logs and completed-job history, alongside pause, resume and stop controls in the organizer. Before AI processing, the application checks the available credit balance and presents the required usage. Backend services manage accounts, licenses, device activation and credit records, connecting access to the desktop application with its online processing services.

A desktop workflow connected to online AI services

The resulting application brings file preparation, library organization and AI categorization into a connected desktop workflow. Native operations work on the artist’s local files, while backend services provide classification, queue management and account controls. NAG Studio’s product combines those responsibilities in an application whose processing steps and results are available for the user to review.

Project scope

NAG ALL desktop application

Local asset processing, configurable model and texture organization, batch jobs, progress and history.

AI categorization and account services

Preview-based classification, processing queues, category sets, credits, licensing and device activation.