Which log formats are supported?

Apache/Nginx Combined Log Format and Common Log Format, as well as custom HTTP log formats.

How large a log can I analyze?

Browser-based processing; recommended max 10MB per analysis. Larger files may cause browser slowdowns.

What metrics are computed?

Status code distribution, request method distribution, avg/median/P95/P99 response times, total traffic, top URLs, error URLs.

Is my data uploaded to a server?

No. All analysis is performed locally in your browser.

Does it support real-time monitoring?

The current version only supports static log analysis, not real-time traffic monitoring.

How does it parse custom formats?

The tool first tries Nginx/Apache standard format parsing, then falls back to extracting HTTP status codes and URLs from each line.

Free HTTP Traffic Analyzer

Parse HTTP access logs, compute status code distribution, request methods, response times, traffic stats

What Can the HTTP Traffic Analyzer Do?

The HTTP Traffic Analyzer is a free online operations tool that parses HTTP access logs (Nginx/Apache Combined Log Format), computing status code distribution, request method distribution, response time distribution (avg/P95/P99), traffic size, top URLs, and error URLs. Ideal for website operations monitoring, performance analysis, and troubleshooting. All analysis is done locally in the browser—your data is never uploaded to any server.

Core Features

Status Code Distribution: Count and percentage of 2xx/3xx/4xx/5xx status codes
Request Method Stats: Distribution of GET/POST/PUT/DELETE HTTP methods
Response Time Analysis: Calculate avg, median, P95, P99 response times
Traffic Statistics: Total traffic and average response size
Top/Error URLs: Top 10 popular URLs and Top 10 error URLs

Usage Tutorial

1. Paste HTTP access logs (Nginx/Apache Combined format) into the input box.

2. Click "Analyze" or use the Ctrl+Enter shortcut.

3. View status code distribution, request methods, response times, and traffic stats.

4. Click "Copy Result" to copy the analysis report or download as JSON.

Application Scenarios

Scenario 1: Website Operations Monitoring

Operations teams regularly analyze Nginx/Apache access logs to monitor traffic and error rate trends.

Scenario 2: Performance Analysis

Developers use response time distribution (P95/P99) to identify slow requests and performance bottlenecks.

Scenario 3: Troubleshooting

Quickly filter 4xx/5xx error URLs to locate service anomalies and client issues.

Extended Knowledge

Nginx Combined Log Format: $remote_addr - $remote_user [$time_local] "$request" $status $body_bytes_sent "$http_referer" "$http_user_agent". Apache format is similar. Response time is an optional field; Nginx requires $request_time configuration. HTTP status code categories: 2xx=success, 3xx=redirect, 4xx=client error, 5xx=server error. P95 response time means 95% of requests complete within this time; P99 means 99%, a key metric for measuring tail latency.

📊 HTTP Traffic Analyzer

📝 HTTP Log Input

📄 Analysis Results