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Schema Validator. Check JSON-LD Structured Data for Rich Results

Paste raw JSON-LD, a script tag, or an entire page's HTML. The validator finds every structured-data block, checks each one against schema.org's required and recommended properties, and tells you exactly what's blocking a rich result, all in your browser, nothing uploaded.

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What is the schema validator?

The Schema Validator extracts every JSON-LD block from pasted markup or a full page's HTML, checking each @type against schema.org's required and recommended properties, including nested nodes like an Offer inside a Product. Errors and warnings return with actionable fixes. Free and browser-based, so unpublished markup never leaves your machine.

The GigAI Schema Validator is a structured-data linter that reads what you actually shipped and grades it the way a search engine's parser would. Paste a single JSON-LD object, a `<script type="application/ld+json">` block, an array of nodes, or drop in a whole page's HTML, the tool extracts every JSON-LD script it can find, parses each one, and validates it against schema.org's required and recommended properties for its @type using the same engine behind our Schema Markup Generator. For each block you get its detected @type, a pass/warn/fail breakdown, and precise, actionable messages: missing required properties are flagged as errors that disqualify a rich result, missing recommended ones as warnings that weaken eligibility, and clean blocks are confirmed as ready to publish. It walks nested nodes too, so an Offer inside a Product or a Question inside an FAQPage is checked in place. Because parsing and validation happen entirely on your device using the browser's native JSON and HTML engines, your prices, author names, event details and unpublished markup never leave your machine, there's nothing for us to store, log or see. This is a pragmatic required/recommended linter rather than a full schema.org shape engine, so it pairs perfectly with Google's Rich Results Test: fix everything here first, then confirm final Google-specific eligibility on the official checker before you publish.

Difficulty:
Easy
Typical time:
~30s
Processing:
100% browser processing

Last updated

How to use the schema validator

  1. 1

    Paste your structured data

    Drop in raw JSON-LD, a full `<script type="application/ld+json">` block, or copy an entire page's HTML source, the validator handles all three and finds every block.

  2. 2

    Read the per-block report

    Each detected block shows its @type, a score and a grouped list of checks: red errors are missing required properties, amber warnings are missing recommended ones, green rows confirm what's correct.

  3. 3

    Fix errors first, then warnings

    Required-property errors block eligibility, so clear those first. Then add recommended properties where you can, Google favours complete markup with images, authors and dates.

  4. 4

    Confirm in Google's Rich Results Test

    Once this validator is clean, paste the same markup into Google's Rich Results Test to confirm Google-specific eligibility rules on top of valid JSON-LD before publishing.

What Schema Validator includes

  • Detects every block on the page

    Paste one object, a script tag, an array of nodes or a whole page's HTML: the validator pulls out each <script type="application/ld+json"> block and checks them all, not just the first.

  • Required vs recommended, per @type

    Each block is graded against schema.org's required (error) and recommended (warning) properties for its exact @type, so you see instantly what disqualifies a rich result and what merely weakens it.

  • Walks nested nodes

    An Offer inside a Product, a Question inside an FAQPage, an AggregateRating or PostalAddress. Nested typed nodes are validated in place with a dotted path to the exact property.

  • Precise parse errors

    Invalid JSON, a missing @type or @context, or a block that isn't an object are reported with the exact reason and location. No silent "it just doesn't work".

  • Scored, grouped report

    A 0–100 score and A–F grade summarise health across all blocks, with errors, warnings and passes grouped per block so a colleague can act on it at a glance.

  • 100% in your browser

    Markup is parsed and validated with your browser's native JSON and HTML engines. Prices, author names, event details and unpublished data are never uploaded, stored or logged.

Why use our schema validator

Find out why a rich result won't show

When an FAQ accordion, star rating or breadcrumb refuses to appear, it's almost always a missing required property. The validator names the exact @type and property so you fix the real cause, not a guess.

Clear Search Console 'invalid structured data' errors

Paste the markup Search Console is complaining about and see, per block, which required fields are absent: then fix them and re-check before requesting validation from Google.

Audit markup you didn't write

Inherited a template or plugin that injects JSON-LD? Paste the rendered page and audit every block it emits, including ones you didn't know were there.

Safe for private and unpublished markup

Because everything runs locally, you can validate staging pages, gated content and markup containing unreleased prices or personal data without any of it leaving your machine.

Built for the way you work

From quick one-off fixes to daily workflows, see how people put this tool to use.

  • SEO specialist

    Audit a page's structured data before launch

    Paste the rendered HTML of a template page and confirm every JSON-LD block (Article, Breadcrumb, Organization) is valid and complete before it goes live.

  • Developer

    Debug JSON-LD emitted by a CMS or plugin

    When a plugin's markup fails Google's test, paste it here to see exactly which @type and property is wrong instead of eyeballing a wall of minified JSON.

  • E-commerce manager

    Verify Product & Offer markup

    Check that each product's Product block has a name and that its nested Offer carries price and priceCurrency, so listings stay eligible for price and review rich results.

  • Content team

    Validate FAQ and Recipe markup at scale

    Paste FAQPage or Recipe JSON-LD from a batch of posts to confirm every Question has an accepted answer and every recipe has its required fields before publishing.

Supported formats

Accepts JSON-LD, HTML and Script tag, and produces Validation report, all processed locally in your browser.

Input formats
  • JSON-LD
  • HTML
  • Script tag
Output formats
  • Validation report

Frequently asked questions

Common problems, solved

Hit a snag? Here are quick fixes for the issues people run into most.

  • It says my JSON-LD is invalid JSON.

    A trailing comma, a smart/curly quote pasted from a doc, or an unescaped character usually causes this. The error names the position, fix the syntax (or run it through the JSON Formatter) and re-validate.

  • No blocks were detected in my pasted HTML.

    The validator looks for `<script type="application/ld+json">` blocks. If your markup is Microdata or RDFa it won't be found: convert to JSON-LD (Google's recommended format). Also make sure you pasted the rendered source, not a JS bundle that injects it later.

  • A required-property error appears on markup that 'works'.

    The property really is required for that @type: e.g. an Event needs name and startDate, a VideoObject needs name, thumbnailUrl and uploadDate. A rich result may still fail to appear until it's present, so add it.

  • Google's test flags something this validator passed.

    This is a pragmatic required/recommended linter, not a full schema.org shape validator, and Google layers its own eligibility rules on top of valid JSON-LD. Always confirm with Google's Rich Results Test before publishing.

Get the most out of it

  • You can paste an array of JSON-LD nodes (e.g. [{Article}, {BreadcrumbList}]). Every node is detected and validated separately.

  • Validating a live page? View source (Ctrl+U / Cmd+Option+U), copy it all, and paste, the tool extracts each JSON-LD script for you.

  • Errors (red) block rich results. Warnings (amber) don't, but adding recommended fields like image, author and date materially improves eligibility.

  • Keep each schema type in its own object rather than merging unrelated types. It validates cleaner and is easier for search engines to parse.

  • After the validator is green, always run Google's Rich Results Test. Passing here is necessary, but Google adds its own final checks.

What's new

Recent updates and improvements to the schema validator.

  1. Initial release. Paste JSON-LD, a script tag or full HTML. Auto-detects every structured-data block. Validates each against schema.org required/recommended properties per @type with a scored, grouped report and rich-result notes.

  2. Added multi-block detection from pasted HTML (extracts every application/ld+json script), nested-node validation with dotted property paths, and per-block @type badges.

  3. Refined the report into per-block cards with individual scores, a page-level summary, byte/block counts and a link to Google's Rich Results Test for final confirmation.

Your privacy is built in

Your structured data is parsed and validated entirely in your browser using its native JSON and HTML engines: nothing is uploaded to any server. No prices, author names, event details or organization data are stored, logged or transmitted, so you can safely validate staging pages, gated content and markup containing private or unpublished information. Close the tab and every trace is gone.

  • Runs in your browser
  • No uploads
  • Nothing stored

Ready to try the schema validator?

Free, private and instant. Schema Validator runs right in your browser.