RSearch - Error Log Search & Highlighter
Unknown author · Workflow & Planning
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Description
Regex & keyword search with 363+ error patterns and auto-highlight. RSearch - Advanced Text Search & Error Log Analysis for Developers FEATURES: Keywords Mode - 363+ pre-configured error keywords covering system signals, Python, CUDA, compiler errors, and more - CSV-based preset system with 3 customizable slots (up to 500 keywords each) - Severity-based color coding with 8 levels from magenta (critical) to green (info) - Comma-separated input, preserves multi-word phrases like "no matching function" Regex Mode - Full regular expression support - Case-sensitive and case-insensitive options - Global search with Find All toggle Top 3 Density Areas - Sliding window algorithm detects regions with the highest concentration of matched keywords - Click any hotspot to jump directly to that area on the page - Target element highlighted temporarily with a blue outline for easy identification Auto-Search - Toggle switch in the header: green = ON, red = OFF - When enabled, automatically searches every new page you open - Also triggers when you switch between browser tabs - Switch state is remembered across sessions Preset Management - 3 preset slots for different use cases (e.g., Python errors, CUDA errors, general logs) - Edit keywords in CSV format: rank,keyword - Save, apply, and reset presets independently - Default preset includes error patterns for: SIGSEGV, SIGABRT, RuntimeError, ValueError, CUDA errors, OOM, segfault, linker errors, and 350+ more HOW TO USE: 1. Click the RSearch icon in your toolbar 2. Turn ON the switch (green) to enable auto-search on all pages 3. Or enter keywords/regex manually and click Search 4. View the Top 3 density areas and click to navigate 5. Click Clear to remove all highlights 6. Edit presets to customize your own keyword lists PERFECT FOR: - Developers debugging build logs and runtime errors - QA engineers analyzing test reports - DevOps teams monitoring system logs - Anyone who needs to find specific text patterns on web pages PRIVACY: - No data collection whatsoever - No external network requests - All processing happens locally in your browser - Settings stored locally using Chrome storage API - Open source on GitHub Open source: https://github.com/clemente0731/rsearch