CMS Viewer

CMS Viewer analyzes content structures and schemas within a CMS to determine if content instances conform to the defined model across locales and versions. It targets content architects, CMS developers, SEO specialists, and QA teams who are validating migrations, template contracts, or ongoing content governance. By transforming schemas and sample content into a canonical, machine-readable map, it clarifies where fields exist, what data types are allowed, and which locales are covered. This enables early detection of schema drift, missing translations, and locale-specific formatting gaps before publishing. It does not render pages or affect front-end behavior.

Conceptually, the tool ingests a JSON schema or content-type definitions and a sample content set, then produces a structured view of fields, required constraints, data types, and localization attributes. Example: a blog_post type with fields title (string, required), body (richtext), excerpt (string), author (relation), publish_date (date), and locale_variants. The tool cross-checks that required fields exist for each locale, validates type compatibility, and flags schema drift where a field is renamed or removed. It also computes a localization coverage score per locale and per version.

Value lies in non-destructive validation, localization analysis, and exportable results that feed downstream processes like template validation, SEO metadata consistency, and content governance. Typical use cases include CMS migrations, content modeling reviews, localization readiness checks, and governance reporting. The approach supports batch runs and incremental validation to fit regular sprint cycles.

Core features include input schema and sample content handling, field-by-field validation, localization ensembles, version awareness, and exportable outputs in JSON or CSV. Optional capabilities include change-diff reporting, dependency mapping, and batch validation across many content types. Outputs comprise a content map, a validation report, and actionable recommendations to align schema with front-end expectations.