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Metadata Miner

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This software is provided strictly for educational and research purposes only. The authors and contributors shall not be held liable for any damages, legal issues, security breaches, or other consequences arising from the use or misuse of this software. Users are solely responsible for ensuring their activities comply with all applicable laws, regulations, and organizational policies. By using this software, you acknowledge that it is provided “as is,” without any warranties or guarantees of any kind, and you assume full responsibility for its use.

Metadata Miner is a command-line tool for extracting metadata from files. It allows you to extract file metadata from a specified path, with options to recursively process subdirectories and save the results to a file.

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Comprehensive Metadata Extraction

MDMiner is designed to extract detailed metadata from both individual files and entire directories. Whether analyzing a single document or scanning a complex folder structure, MDMiner can capture valuable file information such as creation and modification dates, file size, author details, and more. The tool supports both non-recursive and recursive extraction, giving users full control over the depth of metadata collection depending on their needs. This flexibility ensures that no critical information is overlooked during digital forensics, data audits, or content management tasks.

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User-Friendly Output Management

MDMiner not only extracts metadata but also organizes and presents it in a clear, readable format. Users can view results directly in the console or save them to a structured output file for further analysis. The tool intelligently handles errors, ensuring that even problematic files are logged with relevant error messages rather than causing process failures. By providing both immediate and persistent access to results, MDMiner simplifies data review and enhances workflow efficiency for researchers, IT professionals, and developers alike.

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Robust and Reliable Performance

MDMiner is built with reliability and robustness in mind. It gracefully handles directories, single files, and user interruptions, ensuring that partial results are preserved even if the process is stopped unexpectedly. The modular design, leveraging the extract_metadata function, allows for easy maintenance and potential expansion to support additional file types or metadata categories. With its combination of error handling, recursive scanning, and saving features, MDMiner offers a dependable solution for systematic and large-scale metadata analysis.

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