# Structured Log Analyzer Detect common log formats, extract core fields, infer field types, and export parsed logs as JSON, CSV, or SQL inserts > Canonical page: https://elysiatools.com/en/tools/structured-log-analyzer - **Category:** Data Processing - **Keywords:** logs, jsonl, apache, nginx, syslog, csv export ## Overview The Structured Log Analyzer automatically detects and parses common log formats like JSONL, Apache, Nginx, and Syslog. It extracts core fields, infers data types, and lets you export the cleaned data as JSON, CSV, or SQL inserts for easier querying, spreadsheet analysis, and database ingestion. ## Inputs - **Log Input** (textarea): {"level":"error","message":"Disk almost full"} 127.0.0.1 - - \[10/Oct/2000:13:55:36 -0700\] "GET /health HTTP/1.1" 200 2326 - **Log File** (file) - **Export Format** (select) - **Aggregate Multiline Entries** (checkbox) - **Custom Regex** (text): ^(?\\S+) (?\\w+) (?\\w+) (?.+)$ ## When to use - When you need to convert raw, unstructured server logs into a tabular CSV format for spreadsheet analysis. - When migrating legacy log files into a relational database using generated SQL insert statements. - When troubleshooting application errors that span multiple lines, such as Java stack traces, and need them grouped as single entries. ## How it works - Paste your raw log entries into the text area or upload a log file up to 20MB. - Select your desired export format: JSON, CSV, or SQL. - Optionally, enable multiline aggregation for stack traces or provide a custom regex with named capture groups for proprietary formats. - The tool parses the logs, extracts the fields, and generates the structured output. ## Use cases - Converting mixed application logs into a CSV file to build charts and pivot tables in Excel. - Extracting specific error messages and timestamps from custom application logs using named regex groups. - Preparing Nginx access logs for database ingestion by generating SQL insert statements. ## Frequently asked questions ### Which log formats are supported automatically? The tool automatically detects and parses common formats including JSON Lines (JSONL), Apache access logs, Nginx logs, and standard Syslog entries. ### Can I parse a custom log format? Yes, you can provide a custom regular expression with named capture groups (e.g., \`(?\\w+)\`) to extract specific fields from proprietary log formats. ### How does the multiline aggregation work? When enabled, the tool groups subsequent indented or unformatted lines, such as stack traces, with the preceding log entry instead of treating them as separate, broken records. ### What is the maximum file size I can upload? You can upload log files up to 20MB in size. For larger datasets, consider splitting your files before uploading. ### Can I export the parsed logs to a database? Yes, by selecting the SQL export format, the tool generates standard SQL INSERT statements based on the extracted fields and inferred data types. ## Related tools - [CSV to Database Migration Planner](https://elysiatools.com/en/tools/csv-to-database-migration-planner): Infer a relational schema from CSV data and generate create-table plus ALTER migration plans for PostgreSQL, MySQL, SQLite, or SQL Server - [Mock Data Prefix / Abbreviation Conflict Detector](https://elysiatools.com/en/tools/mock-data-naming-conflict-detector): Detect visually confusing field names and prefix collisions in CSV, JSON, or schema inputs, then suggest clearer renames - [Dataset Quality Profiler](https://elysiatools.com/en/tools/dataset-quality-profiler): Profile CSV or JSON datasets for missing values, duplicate rows, format drift, type inference, and numeric outliers - [Time Series Forecast & Seasonality Analyzer](https://elysiatools.com/en/tools/time-series-forecast-seasonality-analyzer): Forecast future periods from CSV or JSON time-series data and inspect trend, seasonal, and residual decomposition in one report - [PDF Table Extractor to CSV/JSON](https://elysiatools.com/en/tools/pdf-table-extractor-to-csv-json): Extract tables from PDFs with OpenDataLoader and export them as structured JSON, flat CSV, or HTML tables - [Text to Excel Converter](https://elysiatools.com/en/tools/text-to-excel): Convert various text formats to Excel with customizable parsing and formatting options - [JSON-LD Generator from CSV](https://elysiatools.com/en/tools/json-ld-generator-from-csv): Turn CSV or Excel rows into Schema.org JSON-LD for articles, products, or events, with validation-ready output for SEO workflows - [BOM Character Remover](https://elysiatools.com/en/tools/data-bom-remover): Remove BOM (Byte Order Mark) characters from text and file content. Perfect for cleaning up text files that have encoding issues, fixing CSV imports, and preparing data for processing. Features: - Detect and remove UTF-8 BOM (EF BB BF) - Detect and remove UTF-16 BOM (FE FF or FF FE) - Detect and remove UTF-32 BOM (00 00 FE FF or FF FE 00 00) - Support multiple input formats - Visual BOM character display - Detailed detection report - Support for batch text processing Common Use Cases: - Fix CSV file import errors - Clean up text file encoding issues - Prepare data for JSON parsing - Fix XML parsing problems - Resolve API data encoding conflicts - Standardize text data format ## Samples - [Windows String Processing - C# Samples](https://elysiatools.com/en/samples/windows-string-processing-csharp): Comprehensive C# string processing examples for Windows platform including string manipulation, splitting, joining, regex operations, and text analysis - [CSV Samples](https://elysiatools.com/en/samples/csv-samples): Sample CSV files with various data types, sizes, and complexity levels - [Python Samples](https://elysiatools.com/en/samples/python): Essential Python code examples and Hello World demonstrations - [Apache Arrow Samples](https://elysiatools.com/en/samples/arrow): Apache Arrow in-memory columnar format examples for high-performance data processing and analytics ## Related content - [JSON Formatting, Diff, and Normalization Tools](https://elysiatools.com/en/hubs/json-format): Compare JSON formatting, diffing, log review, config comparison, and data-normalization tools in one hub for readable and reviewable JSON workflows. - [JSON Inspection, Diff, and Transformation Tools](https://elysiatools.com/en/hubs/json-utility): Compare JSON formatting, diffing, path inspection, schema validation, merging, transformation, and export tools in one hub for API and data workflows. - [PII Detection, Log Redaction, and Privacy Cleanup Tools](https://elysiatools.com/en/hubs/pii-log-redaction): Scan logs for personal data, mask sensitive text, validate extracted identifiers, and prepare safer outputs for security and compliance reviews. - [Observability, Log Analysis, and Trace Debugging Tools](https://elysiatools.com/en/hubs/observability-debugging): Parse logs, inspect traces, compare API payload drift, and turn raw observability data into timelines, diagrams, and structured evidence for faster debugging.