Your files never leave your device. All processing happens locally in your browser.
How do I validate JSON-LD structured data without uploading it to a server?
Open AnyTool’s Schema Validator and paste your JSON-LD — a raw object or array, a <script type="application/ld+json"> block, or your whole page’s HTML source. It extracts every JSON-LD block (expanding @graph and arrays), then validates each against a curated schema.org knowledge base and Google’s documented rich-result rules: it checks @context and @type, flags missing required properties as errors and missing recommended properties as warnings, and runs value checks for ISO 8601 dates, absolute URLs, empty values and unrecognized properties. You get a per-block report — a card per detected @type with its errors, warnings and info, a pass summary (X valid, Y warnings, Z errors) and a pretty JSON view. Everything runs in your browser, so your markup is never uploaded — safe for unreleased or staging structured data. It is a helpful curated subset, not the official Google Rich Results Test or schema.org Schema Markup Validator, so confirm in both before relying on it.
Paste raw JSON-LD, a <script> block, or your full page HTML — every JSON-LD block is extracted
Checks @context / @type, required (error) and recommended (warning) properties for 25+ common types
Value checks: ISO 8601 dates, absolute URLs, empty values, unrecognized properties
100% client-side — markup never uploaded; honest not-the-official-validator note
What is
Structured data (JSON-LD) validation
Structured-data validation is the process of checking schema.org markup — most commonly JSON-LD embedded in a <script type="application/ld+json"> tag — for syntactic validity and for the required and recommended properties of each type. A missing required property is an error that blocks the corresponding rich result; a missing recommended property is a warning. Two official tools exist: the schema.org Schema Markup Validator (validator.schema.org) checks general schema.org validity across the full vocabulary, while Google’s Rich Results Test checks eligibility for specific Google rich results. This tool is a privacy-first, client-side checker covering common types — a helpful subset of both.
No. This is a curated, client-side checker for common schema.org types. Google’s Rich Results Test decides actual rich-result eligibility — always confirm there too.
They serve different roles. Google’s Rich Results Test tells you whether a page is eligible for a specific Google rich result, and the schema.org Schema Markup Validator at validator.schema.org checks general schema.org validity across the entire vocabulary. This tool is a helpful subset of both: it validates JSON-LD syntax and checks a curated set of 25+ common types against schema.org and Google’s documented required and recommended properties, entirely in your browser. It covers the high-traffic types and common mistakes but may not flag every edge case or know every property, so a pass here is not a guarantee of a visible rich result — confirm with both official tools and make sure the markup matches the visible page.
An error is a missing required property that blocks the rich result; a warning is a missing recommended property — valid, but adding it improves eligibility and detail.
Google distinguishes errors from warnings. An error means a required property for a rich-result type is missing or invalid — the item is excluded from that rich result until you fix it. A warning means a recommended (non-essential) property is absent; the markup is still valid but adding the property improves rich-result eligibility and the richness of the listing. This tool mirrors that: a missing required property for the detected type is reported as an error, a missing recommended property as a warning, and informational notes cover unrecognized properties, http:// contexts and types outside its curated set.
Either. Paste the raw JSON-LD, a single <script> block, or your full page source — the tool finds and validates every JSON-LD block.
You can paste a bare JSON-LD object or array, a single <script type="application/ld+json"> block, or your entire page’s HTML source. The engine scans pasted HTML in memory to locate every JSON-LD script tag, expands @graph wrappers and top-level arrays into individual nodes, and validates each one separately, so a page with several schema blocks produces several report cards. It does not parse Microdata or RDFa — paste the JSON-LD for those. The page is never loaded or crawled; the HTML is only read locally to extract the JSON-LD.
Yes. Everything runs in your browser — nothing is uploaded — so it is safe for unreleased, staging or internal markup, unlike online validators.
Validation happens entirely on your device with plain JavaScript. The JSON-LD or HTML you paste is parsed and checked in the browser; nothing is fetched, uploaded, logged or stored on a server, and no page is crawled. That is the key privacy advantage over online validators, which send your markup to a remote server — it makes this tool safe for unreleased, staging or internal structured data. The tool also works offline once cached, and closing the tab discards everything you entered.
Detailed Explanation
📖How It Works
What the Schema Validator Checks
The Schema Validator takes existing structured data the user already has and checks it, entirely in the browser. The user pastes a raw JSON-LD object or array, a <script type="application/ld+json"> block, or the full HTML source of a page; a reusable engine (schemaValidateEngine.ts) extracts every JSON-LD block — expanding @graph wrappers and top-level arrays into individual nodes — and validates each independently. For each node it checks @context (should reference schema.org), @type (must be present), then, against a curated knowledge base of 25+ common schema.org types, the REQUIRED properties (a missing one is an error that blocks the corresponding Google rich result) and the RECOMMENDED properties (a missing one is a warning). It also runs value checks: dates in known date properties should be ISO 8601, URL properties should be absolute https URLs, empty values are flagged, and properties it does not recognize for the detected type are noted as info. The output is a per-block report — one card per detected @type with its findings — plus a pass summary (valid / warnings / errors) and a pretty JSON view of each parsed node.
Extracts JSON-LD from raw JSON, a <script> block, or full page HTML; expands @graph and arrays
Checks @context and @type, then required (error) and recommended (warning) props for 25+ types
Value checks: ISO 8601 dates, absolute URLs, empty values, unrecognized properties
Per-block report with a pass summary and a pretty JSON view of each node
All parsing and validation is pure client-side JavaScript — no server call, no CDN, no upload
⚙️Methodology
How It Maps to Google’s Rich-Result Rules
The curated knowledge base encodes, per type, the properties Google and schema.org document as required versus recommended. For Product the engine knows name is required and offers (with price and priceCurrency) or a review / aggregateRating unlock the product and review snippets; for Article it knows headline plus the strongly-recommended image, author and datePublished; for FAQPage it requires mainEntity (each Question needing name and acceptedAnswer.text); for Event it requires name, startDate and location; for JobPosting title, description, datePosted, hiringOrganization and jobLocation; for VideoObject name, description, thumbnailUrl and uploadDate; for BreadcrumbList an itemListElement with at least two ListItems; and so on for Recipe, HowTo, LocalBusiness, Organization, Person, Review, AggregateRating, WebSite and more. A shared RICH_RESULT_REQUIREMENTS map links each type to the Google rich result it can produce and that result’s required properties, which the sibling rich-snippet and structured-data testers reuse. A missing required property is reported as an error (it blocks the rich result), a missing recommended one as a warning, and findings are ordered errors → warnings → info → pass, each pinned to the offending property path.
Per-type required vs recommended sets mirror Google’s documented rich-result rules
Knows Product, Article/NewsArticle/BlogPosting, FAQPage, Event, JobPosting, VideoObject, Recipe, HowTo, LocalBusiness, Organization, Person, Review, AggregateRating, BreadcrumbList, WebSite and more
Shared RICH_RESULT_REQUIREMENTS map reused by the rich-snippet & structured-data testers
Findings ordered errors → warnings → info → pass, pinned to the property path
⚠️Limitations
A Curated Subset — Not the Official Validators
The tool is explicit that it is a helpful curated CLIENT-SIDE SUBSET, not a replacement for the two official tools. The schema.org Schema Markup Validator (validator.schema.org) checks general schema.org validity across the ENTIRE vocabulary and every type; Google’s Rich Results Test checks ELIGIBILITY for specific Google rich results. This tool covers 25+ high-traffic types and the most common mistakes, so for a type outside its curated set it runs only the generic @context / @type / value-format checks and tells the user so, and it may not flag every edge case or know every valid property. Because of this, a pass here means the curated checks passed — it does NOT guarantee a visible rich result, which also depends on content quality, policy compliance and the markup matching the visible page. The tool therefore always advises confirming in BOTH official tools before relying on the markup. It does parse only JSON-LD (Google’s recommended format), not Microdata or RDFa, and never crawls or loads the page — pasted HTML is read in memory only to locate the JSON-LD scripts.
Not the official Google Rich Results Test or schema.org Schema Markup Validator
Covers 25+ common types; unrecognized types get generic checks only
A pass is not a guarantee of a visible rich result — confirm in both official tools
Parses JSON-LD only (not Microdata / RDFa); never crawls or loads the page
Markup must also match the visible page content to be eligible
🔒Privacy & Security
Why In-Browser Validation Is a Privacy Win
Unlike online validators that send your markup to a remote server, the Schema Validator runs entirely on the user’s device with plain JavaScript: the pasted JSON-LD or HTML is parsed and checked locally, nothing is fetched, uploaded, logged or stored, and no page is crawled. This makes it safe for UNRELEASED, STAGING or INTERNAL structured data that you do not want to expose to a third-party service before launch — a meaningful advantage when validating markup for a site that is not yet public. The tool also works offline once cached as a PWA, and closing the tab discards everything entered. It adds no new dependency: all logic lives in a small, reusable, well-typed engine (schemaValidateEngine.ts) that the rich-snippet and structured-data testers import.
Markup is validated locally and never uploaded — no server, no CDN, no crawl
Works offline once cached; closing the tab discards your data
No new dependency — logic lives in a reusable engine (schemaValidateEngine.ts)
Dark mode and mobile support with a sticky validate / copy bar
Structured-data validation: in-browser (AnyTool) vs online validators
Capability
AnyTool
Typical online validators
Processing
Runs entirely in your browser
Sends markup to a server
Your markup
Never uploaded, works offline
Uploaded for validation
Unreleased / staging data
Safe — nothing leaves the device
Exposed to a third-party service
Input
Raw JSON, <script> block, or full page HTML
Often a URL or a code box
Multiple blocks
Extracts every JSON-LD block, expands @graph
Varies
Report
Per-block errors / warnings / info + pretty JSON
Varies
Coverage
Curated 25+ common types + value checks
Full vocabulary (official tools) or limited
Honesty
Clear it’s a subset — confirm in official tools
Often implies it is authoritative
Cost / signup
Free, no signup
Often gated or ad-heavy
AnyTool validates structured data locally and uploads nothing, which is safe for unreleased or staging markup. It is a helpful curated subset of common schema.org types and Google’s documented rules — not the official Google Rich Results Test (rich-result eligibility) or the schema.org Schema Markup Validator at validator.schema.org (full vocabulary); confirm in both before relying on the markup. Comparison as of June 2026.
