YAML Tools

YAML Validator

Syntax status, likely config type, common YAML pitfalls, structure metrics, and parsed preview stay together while you edit.

YAMLlocal syntax check

app:
  name: WebToolArc
  debug: false
  ports:
    - 8080
    - 8443
  owner:
    name: Alex
    team: tools

Checking YAML…

Syntax validation is not application-schema validation.

—Syntax

—Documents

—Root

—Depth

Likely configGeneric YAML

Lint warnings0

Keys—

Nodes—

Parsed preview

Checking…

Common YAML pitfalls

These are non-blocking portability/type hints, not Kubernetes, Compose, GitHub Actions, OpenAPI, or application schema validation.

Before using the YAML

Parse first, then choose a target format whose data model matches the job. Conversion success does not prove that an application will accept the resulting config.

Format / validateConfirm the YAML parses before migration.

Inspect structureCheck mappings, arrays, paths and scalar types.

Choose target modelTOML has tables; Properties and ENV are fundamentally string-key/value formats.

ConvertUse explicit flattening/type rules rather than hidden guesses.

Verify in contextReview application-specific schema and semantics before replacing production config.

Format Tree Find path YAML → JSON JSON → YAML YAML → XML XML → YAML YAML → TOML TOML → YAML YAML → Properties Properties → YAML YAML → ENV

conversions run in the browser. The new TOML path targets common configuration syntax rather than claiming a complete TOML conformance suite; Properties nesting is an explicit WebToolArc convention, not part of Java Properties itself.

Syntax first, schema second

The validator reports local parseability, document/root/depth context, a parsed preview, and non-blocking hints for common scalar/indentation pitfalls.

Application validation boundary

A syntax-valid document can still be invalid Kubernetes, Docker Compose, GitHub Actions, OpenAPI, CI, or application configuration. Use the receiving system or a schema-aware validator when those guarantees matter.

Before converting YAML

Format and validate first, inspect the parsed structure, then convert only after deciding how the target format should represent arrays, nested mappings and scalar types.

Syntax is not application validity

A YAML document can parse successfully and still be invalid for Kubernetes, Docker Compose, GitHub Actions, CI/CD, OpenAPI or another application schema.

Usage notes optional

Syntax validity is only the first gate

A YAML document can parse correctly and still be invalid for Kubernetes, Docker Compose, GitHub Actions, or another application schema. Use the JSON preview to confirm the parsed structure, then validate against the schema and version used by the destination system.

YAML has data-type surprises worth reviewing

Quoted and unquoted scalars, anchors, aliases, multiline blocks, dates, booleans, and duplicate-key policy can be interpreted differently by libraries and YAML versions. If configuration behavior matters, test the exact parser used in production rather than assuming every YAML implementation agrees.

Preserve comments and anchors when formatting matters

Converting YAML to JSON is useful for inspecting parsed structure, but JSON cannot carry YAML comments, anchors, aliases, or every presentation choice. A round trip through JSON may therefore change a human-maintained configuration even when the data model survives. When comments or anchors are operational documentation, validate the YAML in place and use conversion only as a structural preview rather than as the sole saved representation.