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Log Parser
How It Works
- Step 1: Paste log data from Apache/Nginx access logs, application error logs, syslog entries, or JSON-formatted logs with timestamps and severity levels.
- Step 2: The parser uses regex patterns to identify log format (Common Log Format, Combined Log Format, JSON), extracting timestamps, IP addresses, HTTP methods, status codes, and error messages.
- Step 3: Parses each log entry into structured fields including timestamp (with timezone), severity level (ERROR, WARN, INFO), source file/line number, and message content.
- Step 4: Displays parsed logs in table format with filtering by date range, severity, or keyword search, enabling quick identification of errors, performance issues, or security events.
Manual vs Automated Log Analysis
| Feature | Manual Analysis | AI-Powered Parser |
|---|---|---|
| Processing Speed | Hours to analyze large log files manually | Parses thousands of log entries in seconds |
| Pattern Detection | Manual grep/awk commands for each pattern | Auto-detects Apache, JSON, syslog formats |
| Error Tracking | Manually count errors across files | Real-time error/warning/info statistics |
| Timestamp Parsing | Complex regex for different formats | Handles ISO 8601, Unix, custom formats |
| Filtering | Multiple CLI commands to filter logs | Interactive filters for severity and keywords |
| Export Options | Manual copy-paste or scripting | One-click JSON/CSV export |
Log Parsing Examples
Example: Apache Access Log Parsing
192.168.1.100 - - [18/Dec/2024:10:30:45 +0000] "GET /api/users HTTP/1.1" 200 1234 "https://example.com" "Mozilla/5.0"
192.168.1.101 - - [18/Dec/2024:10:31:12 +0000] "POST /api/login HTTP/1.1" 401 89 "-" "curl/7.68.0"
192.168.1.102 - - [18/Dec/2024:10:32:03 +0000] "GET /static/image.jpg HTTP/1.1" 404 512 "https://example.com/page" "Mozilla/5.0"Entry 1:
IP: 192.168.1.100
Timestamp: 2024-12-18 10:30:45 UTC
Method: GET
Path: /api/users
Protocol: HTTP/1.1
Status: 200 (Success)
Bytes: 1234
Referrer: https://example.com
User-Agent: Mozilla/5.0
Entry 2:
IP: 192.168.1.101
Timestamp: 2024-12-18 10:31:12 UTC
Method: POST
Path: /api/login
Protocol: HTTP/1.1
Status: 401 (Unauthorized)
Bytes: 89
Referrer: - (Direct)
User-Agent: curl/7.68.0
Entry 3:
IP: 192.168.1.102
Timestamp: 2024-12-18 10:32:03 UTC
Method: GET
Path: /static/image.jpg
Protocol: HTTP/1.1
Status: 404 (Not Found)
Bytes: 512
Referrer: https://example.com/page
User-Agent: Mozilla/5.0Key Changes:
The parser extracts structured data from Apache Combined Log Format, identifying each field through regex patterns matching the standard log structure. IP addresses are parsed for geolocation or security analysis. Timestamps are converted from Apache format [DD/MMM/YYYY:HH:MM:SS +ZZZZ] to ISO 8601 for sorting and filtering. HTTP methods (GET, POST) and paths are extracted for API endpoint analysis. Status codes (200, 401, 404) are categorized into success (2xx), client errors (4xx), and server errors (5xx) for error rate calculation. The 401 status on /api/login indicates authentication failures, useful for security monitoring. The 404 on /static/image.jpg suggests broken links or missing assets. User-Agent parsing distinguishes browsers from bots (curl). This structured parsing enables log aggregation, error tracking, performance monitoring, and security incident detection that would be impossible with raw text analysis.
Frequently Asked Questions
What log formats are supported?
The parser supports common log formats including Apache/Nginx access logs, error logs, JSON logs, syslog format, and custom log formats with timestamps. It automatically detects patterns and extracts relevant information.
Can I filter log entries?
Yes, you can filter logs by timestamp, severity level (ERROR, WARN, INFO), keywords, or custom patterns. This helps you focus on specific log entries and troubleshoot issues faster.
Is my log data secure?
Yes, all log parsing happens entirely in your browser. Your log data never leaves your device, ensuring complete privacy and security. No data is sent to any server.
Can I parse large log files?
Yes, the parser can handle large log files efficiently. For optimal performance with very large files (over 50MB), consider filtering or splitting the logs before parsing.
Does it extract timestamps?
Yes, the parser automatically detects and extracts timestamps in various formats including ISO 8601, Unix timestamps, custom date formats, and common log timestamp patterns.
Can I export parsed results?
Yes, you can export parsed log data in JSON or CSV format. This makes it easy to analyze logs in spreadsheets or integrate with other tools and dashboards.