Universal Data Formatter & Beautifier

Beautify, format, validate, or minify JSON payloads, SQL queries, XML documents, and YAML configurations in one unified tool.

Category: File & Data

How to Use Universal Data Formatter & Beautifier

  1. Paste your raw JSON, SQL query, XML document, or YAML snippet into the input editor.
  2. Select the Data Syntax Format (JSON, SQL, XML, or YAML).
  3. Choose your Formatting Action: Beautify & Indent for readability or Minify & Compress for compact output.
  4. Click Process and copy or download the formatted structure.

Related File & Data Tools

  • JSON to TypeScript Interface Generator

    Convert raw JSON payloads or API responses into clean, strictly-typed TypeScript interfaces, nested object types, and optional array item definitions.

  • XML to JSON Data Converter

    Convert XML documents, RSS feeds, and SOAP payloads into formatted JSON objects while preserving XML attributes (@attributes) and text nodes (#text).

  • JSON Object Diff & Comparison

    Compare two JSON objects side-by-side with recursive deep key inspection to highlight added, modified, and deleted properties.

  • CSV ↔ JSON Data Converter

    Bidirectionally convert CSV tables into JSON arrays or transform JSON objects back to CSV with custom comma, semicolon, or tab delimiters.

Frequently Asked Questions

Which data formats are supported by the Universal Data Formatter & Beautifier?

The Universal Data Formatter supports four structured data formats in one tool: JSON payloads, SQL database queries, XML documents, and YAML configuration files, with both Beautify (pretty-print) and Minify (compact) modes.

What is the difference between Beautify and Minify modes?

Beautify mode formats structured data with clean hierarchical indentation and line breaks for human readability and debugging. Minify mode strips unnecessary whitespace, comments, and line breaks to minimize payload byte size for network transmission or storage.

Does the formatter validate JSON and XML syntax before formatting?

Yes. When JSON or XML is selected, the engine validates strict syntax and tag structure first, reporting clear error messages if a bracket, quote, or closing XML tag is missing.

How does SQL query formatting improve readability?

In SQL Beautify mode, major SQL clauses (SELECT, FROM, WHERE, INNER JOIN, LEFT JOIN, GROUP BY, ORDER BY, HAVING, LIMIT, INSERT INTO, UPDATE, DELETE FROM) are uppercased and aligned on dedicated lines for rapid query auditing.