ClrMamePro vs verifydump

ClrMamePro scans and rebuilds MAME machine sets, checking ROM, sample, and CHD files for missing, unnecessary, or incorrectly named files. Its Rebuilder matches input files against a database using hashes and size, then writes correctly named machine files to an output folder. The package includes a graphical interface and a command-line executable with Scanner, Rebuilder, and Dir2Dat functions. The tools can use a MAME executable's listxml or listsoftware export as a data source. They use 7z.dll for 7z archive support and can produce zip, 7z, or decompressed output. A suitable DatFile allows use with systems beyond MAME. There is no install wizard; users unpack the archive into a folder. Current builds run on Windows 7 and higher, while older documentation describes Linux use under WINE or similar. The software is freeware, and the copyright notice identifies Roman Scherzer as its author; he says he started clrmame(pro) in 1997. Incorrect settings or removal operations can cause data loss, so the author recommends backups.

verifydump is a free command-line tool for checking compressed .chd and .rvz disc images against Redump Datfiles. It converts each image into the original format described by the Datfile, adjusts the result to Redump conventions, then checks it against the Datfile. Users provide a Datfile, which can be zipped, followed by image files or folders containing them. The tool says it does not modify user files and stops checking an individual image after finding an error. CHD checks require chdman and binmerge, both available in the system PATH; RVZ checks require DolphinTool in the system PATH. Some Redump cue metadata cannot be represented in CHD. Users can provide original cue files with --extra-cue-source or ignore cue mismatches with --allow-cue-file-mismatches. Verification creates temporary converted files and deletes them afterward; the project suggests a RAM drive for frequent checks or large collections to reduce SSD writes. Windows users can use the offered executable, while Linux and macOS users can install through pipx or another Python package installation method. The package requires Python 3.10 or later and below 3.16. The project directs bug reports and questions to GitHub issues.