sample-text-processor

Run the analyze command with the text processor script: python text_processor.py analyze document.txt. It reports total words, unique words, characters, lines, and the most frequent word, with optional JSON output via --format json.

Use the transform command with a mode flag: python text_processor.py transform file.txt --mode upper. Supported modes are upper, lower, title, and reverse, and the result can be written to a file with --output.

Yes, the batch command recursively scans a directory for .txt, .md, .rst, .csv, and .log files and processes each one. It outputs per-file statistics plus aggregate totals in either JSON or human-readable format.

No, it uses only the Python standard library (argparse, json, collections, pathlib) and requires Python 3.7 or later. There are no pip dependencies to install.

The error occurs when the file's actual encoding differs from the default utf-8. Re-run the command with the --encoding option set to the correct encoding, such as latin-1 or utf-16.

It only handles plain text formats and does not support PDF or Word documents, sentiment analysis, or language detection. Very large datasets are processed sequentially without parallelization.