Duplicate File Detector helps teams find and eliminate duplicate files sitting across shared drives, project folders, or archives — even when those files have been renamed or copied. Instead of relying on filenames, this automation scans actual file content to catch true duplicates that manual checks often miss.
To run this automation, provide an input folder path containing the files to scan, an output folder path for the report, whether to include subfolders, and a hash algorithm choice (SHA256 or MD5). No spreadsheet templates or external data sources are required — just point it at a folder.
The bot uses a Python script to calculate a content hash for every file in the input folder. Files with matching hashes are flagged as exact duplicates, regardless of their filename or location. The automation then produces a CSV report listing every file's name, path, size, hash, and status (Unique, Duplicate, or Error).
Manually comparing files for duplication is slow, error-prone, and impossible to scale across large folders with hundreds or thousands of files. Teams often end up with wasted storage, confusing duplicate copies, and no reliable way to clean things up. This automation solves that by giving a fast, accurate, repeatable way to identify redundant files and free up storage — with zero manual comparison required.