File Search System is a professional desktop application for developers, researchers, and power users who need fast, reliable file and content searching — without cloud services, subscriptions, or data ever leaving your machine.
Search and inspect files locally — no cloud uploads, no subscriptions, and no data ever leaves your system. Quickly locate files or content for audits, codebases, datasets, documentation, or archives.
All processing occurs entirely on your machine. No logins. No telemetry. No cloud storage. Ideal for secure or restricted environments.
Multi-threaded scanning keeps the UI responsive while searching thousands of files across nested directories with real-time speed analytics and ETA.
Full regex support, folder exclusions, file type filters, max file size control, result limits, and optional Python source code for complete customization.
Everything you need for fast, predictable, and professional file content searching.
Scan deeply nested directory structures automatically
TXT, CSV, XLSX, PDF, and XML files
Smart search logic with full regex support
Live speed (files/sec), counters, and estimated completion
Full control over long-running scans
UI remains responsive during intensive searches
Skip node_modules, .git, __pycache__, and more
View snippets with line, page, or cell references
Save results for reporting or further processing
Configurable limits for performance optimization
Cap total results for faster performance
Professional interface built with Tkinter & ttkbootstrap
A simple, powerful workflow designed for speed and reliability.
Choose the directory you want to scan — local drives, network shares, or any accessible path.
Use plain text, regex patterns, whole-word matching, or case-sensitive search.
Set file type filters, folder exclusions, max file size, and result limits.
Watch live progress, speed, matches, and ETA. Pause or resume at any time.
Preview matches instantly with context and export all results to CSV.
Search codebases, configs, and logs across projects without IDE limitations.
Scan datasets, papers, and archives for specific content across thousands of files.