Log Analyzer Online - Parse, View & Debug Logs Instantly

What is a Log Analyzer?

A log analyzer is an essential developer tool that helps parse, view, and analyze log files from servers, applications, and services. Log files contain crucial information about system behavior, errors, warnings, and user activities that are vital for debugging and monitoring.

Common use cases include:

• Debugging errors in application logs to identify and fix issues
• Monitoring server health through access and error logs
• Security analysis by reviewing authentication and access logs
• Performance optimization by identifying slow requests and bottlenecks
• Compliance auditing by tracking user activities and system changes

What This Log Analyzer Can Do

How to Analyze Logs Online

Step 1: Paste or Upload Logs

Paste your log content directly into the editor or drag and drop a log file (.log, .txt, or .json).

Step 2: Auto-Detection

The analyzer automatically detects your log format and applies appropriate parsing and highlighting.

Step 3: Filter and Search

Use the filter dropdown to show only ERROR or WARN level logs. Search for specific keywords or use regex patterns for advanced matching.

Step 4: Analyze

View statistics, identify patterns, and extract JSON objects from log lines for further inspection.

Step 5: Export

Download or copy your filtered results for reporting or further analysis. Anonymize sensitive data before sharing.

Supported Log Formats

JSON Logs (Structured Logging)

Modern applications often use structured JSON logging for better parsing:

{"level":"error","message":"Database connection failed","timestamp":"2024-01-24T10:00:00Z","service":"api"}

Apache/Nginx Access Logs

Web server access logs follow the common log format:

192.168.1.1 - - [24/Jan/2024:10:00:00 +0000] "GET /api/users HTTP/1.1" 500 1234

Syslog Format

System logs from Linux servers:

Jan 24 10:00:00 server sshd[1234]: Failed password for root from 192.168.1.1

Docker/Container Logs

Container logs with timestamps:

2024-01-24T10:00:00.000000000Z stdout F Application started on port 3000

Application Logs

Common application log formats from Java, Python, Node.js:

2024-01-24 10:00:00 ERROR [main] com.app.Service - Failed to connect to database

Online Nginx Log Analyzer

Analyze Nginx access and error logs directly in your browser. Our Nginx log analyzer automatically detects the common log format and combined log format, highlighting response codes, request methods, and error messages. Perfect for debugging 4xx/5xx errors, identifying slow requests, and monitoring traffic patterns.

JSON Log Viewer & Parser

View and parse structured JSON logs from modern applications. The JSON log viewer formats nested objects, extracts key fields like timestamps, levels, and messages, and allows filtering by any JSON property. Ideal for applications using Winston, Pino, Bunyan, or any structured logging library.

Apache Access Log Analyzer

Parse Apache httpd access logs in common or combined log format. Quickly identify top URLs, client IPs, user agents, and HTTP status codes. Filter by response codes to find errors, or search for specific request patterns. Supports both Apache 2.2 and 2.4 log formats.

Docker Log Analyzer Online

Analyze Docker container logs and Kubernetes pod logs. Supports Docker JSON log driver output and standard container log formats. Filter by stdout/stderr, search for specific error messages, and extract timestamps from containerized application output.

Frequently Asked Questions