Hello, thank you for providing such detailed testing results and resource usage information.
Regarding the issue you mentioned, where the RAM usage gradually increases as completed tasks accumulate when batch converting a large number of 1080p SDR videos to HDR, and does not automatically decrease after removing the finished files or waiting for some time, only returning to the idle level after closing UniFab, we understand that this affects the stability of long batch conversions.
Based on your description, this behavior may be related to memory release, cache management, or temporary resource cleanup after batch tasks are completed. We need to further confirm it based on the logs and specific task information.
To help our technical team investigate the issue, please provide the following information:
The specific UniFab version you are currently using
Your Windows system version, CPU, graphics card model, graphics driver version, and RAM capacity
The specific parameter settings selected for SDR to HDR conversion
Screenshots showing RAM usage at the start of the task, after converting around 25 episodes, and after converting around 50 episodes
The UniFab log files after the issue occurs
The current workaround of converting in smaller batches and restarting UniFab can be used temporarily, but we will also forward this continuously increasing memory usage issue to our technical team for further analysis.
Regarding the .bmp screenshot files generated during conversion and accumulating over time, we will also organize your suggestion to “automatically clean up temporary screenshot files when closing the software / optimize TEMP file management” and forward it to our product team as a reference for future optimization.
For now, if these temporary files are taking up a large amount of disk space, you may continue manually cleaning the corresponding TEMP folder. Before deleting them, please make sure UniFab is not running any conversion tasks, to avoid affecting files that are still being processed.
Thank you for providing the specific batch conversion scenario and reproduction details. This is very helpful for us to investigate resource management issues and improve the temporary file cleanup mechanism.