This Python script automates the extraction of user identifiers (userCode and userId) from log files across multiple directories. It processes each log file, extracts unique identifiers, and saves them to a CSV file for easy analysis. This tool is useful for efficiently identifying and consolidating user information from large sets of log data.

LogxDB is a high-performance log parser designed to handle multiple log files concurrently with multiprocessing and auto-detect encoding to ensure compatibility with diverse formats. It stores parsed data in SQLite databases with support for custom regex patterns, table names, and column orders.

A minimal SQLite clone

A Python-based tool for extracting structured data from PDFs using OCR and regex, and exporting it to CSV. Ideal for processing invoices, logs, or scanned documents into organized, usable datasets.