Age-Based File Archiver for Parallel Storage
TL;DR
Age-based archiving tool for video editors and media professionals at universities/agencies/studios that automatically moves files older than a set threshold (e.g., 5 years) to a parallel folder structure on secondary storage—preserving paths and freeing up primary storage—so they can reclaim 30%+ of NAS capacity annually without manual effort or broken project references.
Target Audience
Video editors and media professionals at universities, agencies, and studios managing 10TB+ of media files who need to automatically archive old files while maintaining access and freeing up primary storage
The Problem
Problem Context
Media professionals and archivists manage large clip libraries on fast storage drives. As files age, they need to move older files to slower/cheaper secondary storage to free up primary drive space. Current tools either don't support age-based filtering or require manual setup each time, creating repetitive work and storage inefficiencies.
Pain Points
Users struggle with manual file sorting by date, broken folder structures when moving files, and the inability to automate age-based archiving. Existing tools like FreeFileSync only sync newer files, forcing users to manually exclude old files. This creates hours of wasted time annually and risks losing access to archived files if folder structures aren't maintained properly.
Impact
The problem leads to wasted storage costs (paying for unused capacity), lost productivity (spending 5+ hours/year on manual file management), and workflow disruptions when primary storage runs out. For video editors, this directly impacts project turnaround times and marketing campaign deadlines. The risk of data loss from improper archiving also creates additional stress.
Urgency
This becomes critical when primary storage fills up, forcing users to either delete important files or pause new projects. The annual archiving cycle creates predictable urgency, but ad-hoc cleanup needs can arise at any time. Without a solution, users face a choice between expensive storage upgrades or manual labor that disrupts their workflow.
Target Audience
Video editors at universities and agencies, media archivists, post-production studios, and any professional managing large media libraries. This affects anyone working with time-sensitive projects where storage capacity directly impacts workflow efficiency. Similar pain points exist in photography studios, broadcast media, and digital asset management roles.
Proposed AI Solution
Solution Approach
A dedicated tool that automatically moves files older than a specified age to a parallel folder structure on secondary storage. The solution maintains the exact same folder hierarchy, making archived files instantly accessible while freeing up primary storage. It runs as a scheduled task with a simple GUI for setup, eliminating manual file management entirely.
Key Features
- *Parallel Folder Mirroring:- Files are moved to matching folder paths on secondary storage, preserving the original structure.
- *Scheduled Automation:- Runs on a customizable schedule (e.g., annually) without user intervention.
- Dry Run Mode: Lets users preview changes before execution to prevent accidental moves.
User Experience
Users set up the tool once with their age threshold and storage locations. After that, it runs automatically on their schedule, moving old files while keeping everything organized. The GUI shows progress and lets users verify moves before they happen. For annual archiving, users just check the results - no manual file sorting or risk of broken folder structures.
Differentiation
Unlike backup tools that only copy files, this actively frees up primary storage while maintaining access to archived files. Unlike manual methods, it preserves folder structures automatically. The scheduled automation eliminates the need for repetitive manual work. Most importantly, it solves the specific problem of age-based parallel archiving that no existing tool addresses directly.
Scalability
The tool can handle unlimited storage sizes and works with any number of drives. Users can add more secondary storage locations as needed. For teams, it can be deployed across multiple workstations with centralized configuration. Future versions could add cloud storage support and team collaboration features for larger organizations.
Expected Impact
Users immediately gain back storage capacity without manual effort, reducing costs and improving workflow efficiency. The automatic maintenance of folder structures eliminates data access issues. For businesses, this translates to faster project turnaround times and lower storage expenses. The scheduled automation means users never have to worry about archiving again - it just works in the background.