Maintaining a large media library often leads to bloating as older, large files accumulate over time. These can include outdated H.264 encodes, high-bitrate files, and movies with audio tracks that are never used. As more content is added, storage costs rise, making it impractical to keep buying more hard drives to expand capacity. Instead, solutions like Unmanic offer an efficient way to reclaim space by removing unnecessary data without the need for additional hardware.
Older video formats silently contribute to higher storage usage than needed. What begins with a few movies and complete TV seasons can evolve into a large, disorganized collection, creating a sense of being overwhelmed by the sheer size. Users often discover forgotten movies, outdated show versions, or duplicate copies stored in different resolutions such as 720p or 1080p. Individually, these files may appear minor, but collectively, they can take up a significant portion of available storage.
Introducing Unmanic
Unmanic is an open-source tool designed to automate the process of optimizing media files based on user-defined criteria. Users can set rules for actions like converting H.264 files to the more compact H.265 format, eliminating unused audio tracks, or focusing on files that meet certain conditions. Notably, it operates independently from the Plex server itself, working directly on the folders where media is stored, making the process easier to manage while reducing reliance on complex systems.
Setting up Unmanic using Docker is a streamlined process that keeps the environment contained and organized. The setup is configured to access a specific configuration folder, the media library location, and a temporary cache for processing. Once the Docker container is active, users can navigate to the web interface on port 8888 to manage rules, track progress, and fine-tune the process to meet their specific needs.
Unmanic allows users to organize their media library into distinct categories, such as separating movies and television shows. This approach enables more precise control over the processing rules, ensuring that each category receives the most suitable optimization. Additionally, this separation makes it easier to track which part of the collection contributes the most to storage waste.
Utilizing Plugins for Optimization
The File Size Metrics plugin included with Unmanic is particularly useful for measuring the exact amount of space saved by each conversion. Although processing each video is time-consuming because the software must decode and re-encode each file, the total savings can be substantial. This plugin provides clarity by showing the impact of each action, making it easier to assess the overall effectiveness of the cleanup.
By running Unmanic through the entire media collection, the user was able to reclaim nearly 8 terabytes of storage space. The largest savings came from converting older H.264 files to the more efficient H.265 format, a switch that reduces file size without compromising visual quality. Additional savings were achieved by eliminating audio tracks that were not in use, though these contributed less to the total reduction compared to the video optimizations.
The user emphasizes the importance of careful testing before running the tool on an entire library, recommending the use of a small test folder to verify that the converted files retain their quality and function correctly within Plex. This precaution ensures that any changes are made with confidence, avoiding the risk of losing valuable content due to misconfiguration or compatibility issues.
While running multiple workers in Unmanic can accelerate the processing speed, it can also strain system resources over an extended period. To maintain a balance between efficiency and system performance, the user incrementally increased the number of workers while monitoring how it affected both the processing and the Plex server. Additionally, scheduling Unmanic workers to operate during low-usage times, such as during the night, helps prevent disruptions and ensures smooth streaming for users.