RSearch - Error Log Search & Highlighter
Extension Actions
- Live on Store
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