YAML Validator & Formatter
Validate YAML syntax and convert between YAML and JSON. All processing happens in your browser.
YAML Validator & Formatter
Validate YAML syntax and convert between YAML and JSON. All processing happens in your browser.
---How to Use YAML Validator & Formatter
- 1
Paste your YAML or JSON
Paste YAML to validate or convert to JSON, or paste JSON to convert to YAML.
- 2
Choose an action
Use Validate to check syntax, YAML to JSON to convert, or JSON to YAML to go the other direction.
- 3
Review the output
See the converted or validated result in the output panel. Errors show line numbers.
- 4
Copy the result
Click Copy to copy the output to your clipboard.
Frequently Asked Questions
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YAML: Powerful Syntax, Subtle Gotchas
YAML (YAML Ain't Markup Language) uses indentation to represent structure, making it more human-readable than JSON for configuration files. It is the standard format for Kubernetes manifests, Docker Compose files, GitHub Actions workflows, Ansible playbooks, and many CI/CD systems. But YAML's flexibility comes with pitfalls that have caused production incidents at companies of every size.
The Norway Problem and Implicit Typing
YAML 1.1 automatically interprets certain strings as non-string types. The country code "NO" becomes boolean false. "1.0" becomes a float, not a string. "on" and "off" become booleans. The version "1.2.3" stays a string, but "1.2" becomes a float. This "helpful" type inference has caused countless bugs — most famously, a list of country codes where Norway disappeared. YAML 1.2 reduced the auto-typing rules, but many parsers still default to YAML 1.1 behavior. When in doubt, quote your strings.
YAML vs. JSON for Configuration
YAML supports comments (JSON does not), multi-line strings, and anchors/aliases for reusing values — all valuable for configuration files. JSON is stricter and unambiguous, making it better for data interchange. For Kubernetes and CI/CD, YAML is the standard. For API responses and package.json-style configs, JSON is preferred. TOML (used by Cargo, pyproject.toml) offers a middle ground with explicit typing and comment support but less nesting flexibility.