YAML ⇄ JSON

What YAML ⇄ JSON does

YAML ⇄ JSON converts structured configuration between indentation-friendly YAML and strict JSON. It is useful when moving examples between Kubernetes manifests, CI files, static site settings, API fixtures, package metadata, documentation snippets, and application configuration. The YAML to JSON direction parses YAML and emits formatted JSON with two-space indentation. The JSON to YAML direction parses strict JSON and writes readable YAML that can be pasted into configuration files or documentation drafts. Validation errors are shown immediately, which helps catch indentation mistakes, missing colons, invalid JSON quotes, trailing commas, and accidental tabs before you copy a broken result.

The tool keeps both source and output visible so small transformations are easy to verify. It is designed for everyday developer work: checking a config sample during a review, preparing examples for docs, translating between tools that prefer different formats, or cleaning up a fixture before committing it. It does not try to interpret project-specific schemas or apply hidden defaults.

Private browser-based workflow

All processing happens inside your browser with client-side JavaScript. The tool does not upload snippets, configuration values, generated data, query text, or copied examples to a server, and it does not require an account. That local-only model matters for developer utilities because the content pasted into them often looks like real application data: API responses, logs, environment-shaped samples, database queries, markup from drafts, or values copied from production debugging sessions. Keeping the transformation local reduces risk and keeps the interaction fast because there is no network round trip.

The interface is intentionally compact so you can paste input, adjust options, inspect output, copy it, and move back to your editor. Results should still be reviewed before being committed, shared publicly, or used in a production workflow. Browser tools are excellent for quick inspection and preparation, but they cannot understand every project convention, data classification rule, or application-specific validation requirement.

Practical tips

Review complex YAML before relying on it because YAML supports features that do not map perfectly to JSON, including custom tags, dates, aliases, merge keys, and values that may be interpreted as booleans or numbers. JSON is a smaller data model, so the safest use is for ordinary objects, arrays, strings, numbers, booleans, and null values. When converting configuration for production, validate the final file with the tool that will consume it. If secrets appear in your input, remove them before copying examples elsewhere even though this page keeps conversion local.