YAML Validator
YAML validator online free. Validate YAML syntax with line and column error reporting. Clear error messages—validate YAML files instantly.
YAML Input
YAML Syntax Tips
key: value — Basic pair- item — List item"string" — Quoted string# comment — CommentFeatures
- Validate YAML syntax with detailed error messages and line numbers
- Parse and display the resulting data structure as a tree
- Detect common issues: unclosed quotes, bad indentation, duplicate keys
- Support for multi-document YAML (--- separator)
- Character-level error highlighting
- Schema validation for popular formats (Kubernetes, GitHub Actions, Docker Compose)
Common Use Cases
- Verify a configuration file before deploying an application
- Debug parse errors from CI/CD runners or deployment tools
- Validate programmatically generated YAML output
- Check Kubernetes manifests before applying with kubectl
- Verify Helm values files and chart templates
YAML Validation
Validation ensures your YAML is syntactically correct — that it can be parsed into a data structure without errors. A valid YAML file has correct indentation, properly balanced quotes, no illegal characters in unquoted strings, and valid key-value pairs.
Validation is the minimum bar: even perfectly valid YAML can have logical errors (wrong key names, missing required fields). For those, you need schema validation, which checks the parsed structure against a defined schema (like JSON Schema or CRD specs for Kubernetes).
Examples
name: my-app
version: 1.2.3
enabled: true
tags:
- web
- apiname: my-app
version: 1.2.3message: "Hello WorldFrequently Asked Questions
Common causes of YAML parse errors:
- Inconsistent indentation or mixing tabs/spaces
- Unclosed quotes (single or double)
- Special characters (
:,#,{,}) in unquoted strings - Colons without a space after them inside mappings
- Multi-line strings that break the indentation context
No. A YAML file can parse successfully but still be semantically wrong — referencing keys that don't exist, using wrong types (string instead of number), or missing required fields. For critical configs, also validate against a schema specific to your tool (e.g., Kubernetes API schemas, OpenAPI specs).
Use python3 -c "import yaml, sys; yaml.safe_load(sys.stdin)" as a quick check. For more advanced output, install yamllint via pip: pip install yamllint && yamllint myfile.yaml.
This typically means the parser expected to close a mapping or sequence block but found something unexpected — usually caused by a bad indent on the next key. Indent the problematic line correctly to resolve it.
💡 Tips
- Always validate YAML in your editor with a plugin (e.g., YAML by Red Hat in VS Code) for instant feedback.
- If a file parses on your machine but not in production, check if the production parser uses a different YAML version (1.1 vs 1.2).
- Use <code>yaml.safe_load()</code> instead of <code>yaml.load()</code> in Python — the latter allows arbitrary code execution via YAML anchors.
- Multi-document YAML (using <code>---</code>) is useful for Kubernetes but can confuse tools expecting single-document files.