Log File Analyzer
Upload a log file to instantly see error counts, log level distribution, top IPs, and top paths — then run AI-powered analysis to identify errors, anomalies, and performance issues.
How to Use Log File Analyzer
How to Use the Log File Analyzer
Step 1: Upload Your Log File
Drag and drop or click to select a log file (.log, .txt, .out, .err). Files up to 10 MB are supported.
Supported formats:
- Apache / Nginx access logs (Combined Log Format)
- Application logs with timestamps and log levels (ERROR, WARN, INFO, DEBUG)
- JSON logs structured as one JSON object per line
Step 2: Review the Free Stats Panel
Instantly see:
- Total lines and file size
- Error and warning counts
- Log level distribution (ERROR, WARN, INFO, DEBUG)
- HTTP status code groups (2xx, 3xx, 4xx, 5xx) for access logs
- Top 5 IP addresses by request count
- Top 5 requested paths
- Log time range (first and last timestamp)
Step 3: Browse Log Lines
Switch to the Log Lines tab to scroll through the parsed log. Use the filter input to search for specific keywords, IP addresses, paths, or error messages.
Step 4: Run AI Analysis
Click Analyze with AI to have GPT-4o review your log and surface:
- Errors Found — specific error patterns with references to actual log messages
- Anomalies — unusual patterns such as traffic spikes, repeated failures, or suspicious IPs
- Performance Issues — high 5xx rates, slow endpoint patterns, or resource exhaustion signs
- Recommendations — concrete, actionable fixes and improvements
Tips
- For large files (over 10,000 lines), the analyzer processes the first 10,000 lines for statistics
- The AI receives a statistical summary and error samples — your raw log content is never stored
- Use the keyword filter in the Log Lines tab to quickly find specific errors or IPs before running AI analysis
Frequently Asked Questions
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