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Data helper

JSON ⇔ YAML Converter

Convert JSON and YAML in both directions by simply pasting your data.
Switch between JSON to YAML and YAML to JSON instantly and view formatted results in real time.

This tool provides immediate feedback when formatting errors occur, helping you quickly identify syntax issues in configuration files or API payloads.
Converted results can be copied with a single click, making it easy to reuse them
in development, deployment, or documentation workflows.

All conversions are performed directly in your browser.
No input data is sent to any server, ensuring a fast and secure experience
for developers working with configuration files and structured data.

Guide: How to use & features

  • Paste JSON on the left or YAML on the right, then click the corresponding convert button.
  • If parsing fails, the status message turns red and shows the error details.
  • Swap inputs or clear both panels to iterate quickly.

Samples: Sample input & output

Transform JSON to YAML

Input

{"service":"api","port":8080,"enabled":true}

Output

service: api
port: 8080
enabled: true

FAQ: FAQ

  • Are YAML comments kept after conversion?

    No. Comments are not part of the data structure, so a round-trip conversion like JSON ⇔ YAML, which reads the data and writes it back out, drops them. When converting a commented config, plan to re-add any comments you need afterward.

  • How are anchors and aliases (& and *) handled?

    JSON has no anchors or aliases, so on a YAML→JSON conversion the references are expanded (resolved) into their concrete values. Shared structures end up duplicated wherever they were referenced, and the original reference relationship is not restored.

  • Are there type-interpretation gotchas to watch for?

    YAML may read yes/no/on/off as booleans and unquoted digits as numbers. Quote values you want treated as strings — such as a version like "1.10" or a zip code with a leading zero — to avoid bugs from unintended type coercion.

Use cases: Common use cases

  • Converting config formats

    Flip between YAML and JSON to match what tools like Compose or Helm expect.

  • Formatting for documentation

    Share readable YAML in design docs or store machine-friendly JSON for automation.

  • Prepping files for diffing

    Normalize differing formats before comparing so you focus on content changes only.

Notes: Notes & limitations

  • Work stays in your browser

    Inputs and outputs remain local. Closing the tab or clearing cache will remove any temporary state.

  • Validate critical data

    Results are helper outputs—double-check them before sending to production systems or sharing externally.

  • Large payloads depend on your device

    Very large text or files can feel slow in some browsers. Use a desktop environment for heavy workloads.

Formatted results will appear here.

Bidirectional JSON ⇔ YAML Converter

Convert interchangeably and instantaneously between JSON (JavaScript Object Notation) and YAML (YAML Ain’t Markup Language), two standard serialization formats critical for configuration files.
Whether you are writing Kubernetes manifests, Docker Compose scripts, or GitHub Actions workflows, developers constantly run into scenarios like needing to stringify YAML or wanting to validate potentially indented-broken YAML constructs locally in the browser. This secure, stateless utility reliably handles those nuances in real-time.

Common use cases

  • Work with config files: Convert between JSON and YAML for Kubernetes, CI, Docker, and application settings.
  • Validate indentation-sensitive YAML: Catch formatting issues before committing configuration.
  • Prepare API examples: Convert JSON responses into YAML examples for documentation.

Format note

YAML supports features that JSON does not, including comments and some shorthand syntax. After converting YAML to JSON, review whether comments, anchors, or special values were intentionally omitted or normalized.

Articles for this tool

Introduction
2026-01-11

JSON vs. YAML: Choosing the Right Format and How to Convert

JSON and YAML are ubiquitous in development. Compare their features and use cases, see a real conversion example, and learn when to convert between them.

Introduction
2026-05-02

CSV and JSON Conversion: Choosing the Right Format for APIs and Data Migration

Learn how to convert between CSV and JSON safely, including headers, delimiters, value types, nested data, and practical workflow tips.

Introduction
2026-05-02

JSON Formatting and Validation: How to Read API Responses Safely

Learn how to format JSON, catch syntax errors, inspect value types, and turn API responses into types, schemas, or documentation.

Recent Articles

Use Case
2026-08-07

curl Options Cheat Sheet: What -X, -H and -d Actually Do

A reference for the curl options you meet in real API work: why -d already implies POST, how -d differs from --data-raw, the @ prefix that silently reads a file, single vs double quotes, and why -k and -L deserve more caution than they usually get.

Introduction
2026-08-06

Converting Between JSON Schema and Zod: How required Maps to .optional()

Inside a two-way converter that turns JSON Schema into a Zod schema and Zod code back into JSON Schema. Covers the inverted defaults between required and .optional(), the constraint mapping table, and how the Zod side is parsed without executing any code.

Use Case
2026-08-06

SQL Clause Order Reference: Why WHERE Can't See Your SELECT Alias

The order you write SQL clauses is not the order the database runs them. A reference for the logical execution order (FROM → WHERE → GROUP BY → HAVING → SELECT → ORDER BY → LIMIT), why aliases fail in WHERE, when to use WHERE vs HAVING, and the MySQL/PostgreSQL differences that bite.

Use Case
2026-08-06

Unified Diff Format Reference: Reading @@ Hunks in git diff Output

How to read the unified diff format git produces: what the four numbers in @@ -12,7 +12,9 @@ mean, why a one-character edit shows as a whole-line replacement, the whitespace and line-ending traps, \ No newline at end of file, combined @@@ diffs on merges, and rename detection via similarity index.

Use Case
2026-08-06

UTC to JST Reference: The 9-Hour Offset, Cheat Sheet & Timezone Pitfalls

Convert between UTC and JST (Japan Standard Time) with a cheat sheet. Covers what Z and +09:00 mean in ISO 8601, when JavaScript date parsing silently shifts by 9 hours, MySQL/PostgreSQL timezone behavior, and why GitHub Actions cron always runs in UTC.

Use Case
2026-08-04

CREATE TABLE Reference: MySQL vs PostgreSQL vs SQLite Types & Constraints

A cross-database CREATE TABLE (DDL) reference with cheat sheets for data types, auto-increment keys (AUTO_INCREMENT / IDENTITY / rowid), foreign key ON DELETE behavior, and the CHECK constraint that MySQL silently ignores.

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