Data & Code

Parse Apache / nginx access logs into structured rows.

Render an ANSI-colored terminal log as styled HTML.

Convert basic AsciiDoc into Markdown.

Look up well-known ASN.1 / X.509 object identifiers.

List fields and their types from an Avro .avsc file.

Convert between JSON and BSON (binary JSON, MongoDB's wire format).

Convert between JSON and CBOR (RFC 8949).

Convert Atlassian Confluence wiki markup to Markdown.

Convert CREATE TABLE statements into a Mermaid erDiagram.

Per-column distinct count, blanks, min / max / average, most common value.

Remove duplicate CSV rows while preserving order.

Rewrite CSV headers to snake_case, camelCase, PascalCase or kebab-case.

SQL-style join two CSV tables on a key column.

Run a small SELECT/WHERE/LIMIT query against pasted CSV.

Convert CSV (with header row) to a JSON array.

Convert any CSV to a GitHub-flavoured Markdown table.

Swap rows and columns of a CSV table.

Infer the likely .NET type and format hint for each CSV column.

Convert CSV into a clean <table> with thead/tbody.

Generate INSERT statements from CSV (header row + data).

Parse DBML and render a quick ASCII summary of tables and columns.

Paste any Excel / Google Sheets formula to see its structure explained.

Parse fixed-width columnar text into CSV.

Convert geometries between GeoJSON, WKT and little-endian WKB hex.

Render a GeoJSON FeatureCollection as a flat SVG with bounds and stats.

Inspect HTTP Archive (HAR) exports from browser DevTools.

Split a pipe-delimited HL7 v2 message into segments and fields.

Extract tabular data from pasted HTML tables.

Parse INI sections and key/value pairs into readable paths.

Convert .properties files to and from JSON.

Run JMESPath expressions (AWS CLI --query syntax) against JSON.

Sort JSON arrays and inspect filter-friendly output.

Deep-merge two JSON documents.

Structural diff of two JSON documents.

Flatten nested JSON objects into dotted paths.

Pretty-print JSON with configurable indentation.

Describe data in natural language and get well-formed JSON back.

Strip whitespace and comments from JSON.

Apply an RFC 6902 JSON Patch to a document.

Evaluate simple JSONPath-style lookups against a JSON document.

Evaluate an RFC 6901 JSON Pointer against a document.

Infer a JSON Schema (draft-07) from a sample document.

Validate a JSON document against a JSON Schema.

Generate C# record / class definitions from a JSON sample.

Convert a JSON array of objects into CSV.

Generate Go struct definitions from a JSON sample.

Generate JSDoc @typedef definitions from a JSON sample.

Generate Kotlin data class definitions from a JSON sample.

Generate Swift Codable struct definitions from a JSON sample.

Generate TypeScript interface definitions from a JSON sample.

Convert JSON to a clean XML representation.

Convert JSON to clean, readable YAML.

Validate JSON and pinpoint the exact error location.

Infer column types from JSON and emit a CREATE TABLE statement.

Convert JSON5 (with comments, trailing commas, etc.) to strict JSON.

Run JSONPath expressions against any JSON document.

Convert between JSON and MessagePack (hex / base64).

Connect to MongoDB and explore your data — list databases and collections, run find queries, view documents, insert and delete.

Format newline-delimited JSON documents.

Convert Emacs Org-mode text into Markdown.

Upload a Parquet file to inspect its schema, columns and row count.

Pivot any CSV by row, column and aggregated value — no spreadsheet needed.

Convert between Apple property list (plist XML) and JSON.

Inspect Protobuf messages and field declarations.

Strip RTF control words and groups to recover plain text.

Generate believable fake test data from a simple field:type schema as JSON, CSV or SQL.

Connect to SQL Server, PostgreSQL or MySQL and run queries — browse tables, preview rows and execute SQL in your browser.

Pretty-print SQL queries with consistent indentation.

Sketch mock JSON result sets from SQL-like input.

Translate a basic SELECT/WHERE/LIMIT SQL into a MongoDB find() call.

Split delimited or fixed-width text into clean columns and re-emit as CSV, TSV or JSON.

Parse, validate and pretty-print TOML documents.

Convert between TOML config and JSON in both directions.

Switch between tab-separated and comma-separated tables.

Pretty-print or minify XML documents.

Convert XML documents to JSON.

Format and validate YAML documents.

Convert YAML to clean, indented JSON.