Extreme Speed
Web Worker parsing keeps the UI responsive on large access logs. Zero server round-trips for processing.
High-density log analysis for DevOps specialists. Transform messy streams into structured insights with millisecond latency, directly in your browser.
# Running: awk '{print $1, $4, $9}' access.log | head -n 5192.168.1.1 [10/Oct/2023:13:55:36 200192.168.1.4 [10/Oct/2023:13:55:38 40410.0.0.122 [10/Oct/2023:13:56:01 200172.16.0.5 [10/Oct/2023:13:56:05 500_Web Worker parsing keeps the UI responsive on large access logs. Zero server round-trips for processing.
One-click presets for Apache, Nginx, WordPress admin-ajax, status codes, top IPs, URLs, and user agents.
See parsed rows and summary stats update as soon as your file finishes processing in the browser.
Traditional log analyzers require uploading sensitive production logs to their servers. AWK_LOG_PARSER runs entirely client-side, ensuring compliance with strict privacy policies while providing high-performance tools.
Drag and drop your access_log or error_log here. Plain text logs supported in this MVP.
Choose how logs are filtered or aggregated
# Select a preset or load a log fileNo lines loaded yet.Runs via WebAssembly in a Web Worker. Requires assets/wasm/awk.js + awk.wasm from an Emscripten build.
(no output yet)
| # | Remote | Timestamp | Method | Request URI | Status | Bytes |
|---|
Upload an access log or load the bundled sample to run the parser in a Web Worker.
Aggregates from your last parsed session. Data stays in memory until you refresh or parse a new file.
Parse a log in the Workspace to generate top IPs, URLs, status distribution, and more.
Open Workspaceassets/wasm/awk.js and awk.wasm.