Schema Markup Generator – Free JSON-LD Structured Data Tool

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Schema Markup Generator | Free JSON-LD Structured Data Tool

Generate JSON-LD structured data for SEO in seconds. Supports Article, FAQ, Product, Local Business, Event, HowTo, Recipe, Review, Video, and Breadcrumb schemas. Paste the output directly into your page’s <head>.

✔ 10 schema types ✔ JSON-LD output ✔ Script tag ready ✔ Inline validation ✔ Google rich results ✔ 100% browser based

Validation

JSON-LD

Valid JSON is not the same as valid schema. A Product with no price, or a Recipe with no ingredients, parses perfectly and then produces no rich result at all, silently. That is why every field is checked against what Google actually requires for the type, not just whether the output is well formed.

Only mark up what is on the page. Structured data has to reflect content a visitor can actually see. Adding a five star rating that appears nowhere on the page is the fastest route to a manual action, and those take months to lift. If the reviews are not displayed, leave the rating out.

Paste it in the head or the body, either works. Then run the Rich Results Test against the live URL, because that checks the rendered page rather than the snippet in isolation.

About This Tool

How this schema generator assembles valid JSON-LD for ten schema.org types

Structured data is a translation layer, it restates the content already on your page in a vocabulary search engines can parse with certainty rather than guess at. This tool is entirely client side, choosing a type builds a matching form, and every keystroke rebuilds a JSON object through a dedicated builder function for that type, strips out empty fields recursively, then serializes it with JSON.stringify(obj, null, 2) and wraps it in a ready to paste script tag.

The ten supported types

TypeNotable fields
ArticleSwitchable @type between Article, NewsArticle, BlogPosting, TechArticle, plus headline, author, publisher with a nested logo, and both datePublished and dateModified
FAQPageAn array of Question and nested acceptedAnswer objects, built from repeatable question and answer field pairs
ProductBrand, SKU, MPN, a nested Offer with price, currency and availability, and an optional AggregateRating block
LocalBusinessSwitchable @type across Restaurant, Store, MedicalBusiness and others, a full PostalAddress, GeoCoordinates, and opening hours
BreadcrumbListA positioned itemListElement array built from repeatable name and URL pairs
EventStart and end date, eventStatus and eventAttendanceMode as schema.org enumeration URLs, a nested Place and Offer
HowTototalTime in ISO 8601 duration format, an estimatedCost MonetaryAmount, and a positioned array of HowToStep objects
VideoObjectthumbnailUrl, uploadDate, duration, contentUrl, embedUrl and a nested publisher Organization
ReviewA nested Rating with bestRating and worstRating bounds, and an itemReviewed object typed as Product, Service, Book, Movie or LocalBusiness
RecipeprepTime, cookTime and totalTime in ISO 8601, recipeIngredient and recipeInstructions built by splitting textarea input on newlines

The clean and validate pass

Step 1 Collect Every input with a data-schema-field attribute is read into a plain data object. Repeatable sections like FAQ pairs, breadcrumb rows and HowTo steps are collected separately from their own DOM query.
Step 2 Build The data object is passed into the builder function for the selected type, which is a literal JavaScript object matching schema.org’s expected shape for that type.
Step 3 Clean recursively A recursive cleanObj function walks the whole tree and drops any key whose value is an empty string, null, or an empty array, so a Product with no rating never emits an empty aggregateRating block.
Step 4 Validate A lightweight check confirms @context and @type exist, then applies a few type specific rules, for Article it recommends headline, author and datePublished, for Product it requires a name and recommends an offers block.
// Product builder, adapted from source Product: function(d) { var obj = { “@context”: “https://schema.org”, “@type”: “Product”, “name”: d.name || “”, “offers”: { “@type”: “Offer”, “price”: d.price || “”, “priceCurrency”: d.currency || “USD”, “availability”: “https://schema.org/” + (d.availability || “InStock”) } }; if(d.ratingValue) obj.aggregateRating = { /* … */ }; return obj; }
Valid JSON-LD is not the same as an eligible rich result. This tool guarantees the output is syntactically correct schema.org markup, but Google applies its own additional eligibility rules on top of the spec for each rich result type, for example FAQPage rich results are now limited to well known, authoritative government and health sites rather than shown broadly. Always run the finished markup through Google’s Rich Results Test before assuming it will actually change how your page looks in search.

Three details worth knowing

Availability and status URLs

Fields like availability and eventStatus are not written as bare words, the tool prefixes them with https://schema.org/ automatically, since schema.org enumerations are formally URLs, not strings.

ISO 8601 durations

Total time, prep time, and cook time fields expect values like PT30M or PT1H, the ISO 8601 duration format schema.org requires, plain minutes or English phrases are not valid here.

Two copy targets

The tool offers the raw JSON object separately from the full script tag wrapper, so you can paste either the data alone into a CMS custom field or the complete tag straight into a page head.

Pure client-side JSON-LD builder Ten schema.org types Recursive empty-field cleanup

Structured data documentation

  • schema.org is the shared vocabulary this entire tool is built on, jointly maintained by Google, Microsoft, Yahoo and Yandex.
  • Google’s structured data guidelines list which schema types are eligible for rich results and the specific required and recommended properties for each.
  • Google’s Rich Results Test is the tool to validate eligibility, not just syntax, before shipping this markup to production.

Rich results this enables

Adding Product schema to an online store’s item pages so price and availability can appear directly in search results, marking up an FAQ section so it can display expandable answers, tagging a recipe with structured ingredients and timing, and building a BreadcrumbList so search results show your site’s navigation path instead of a bare URL.

Common Questions

FAQ: Schema Markup Generator

A schema markup generator is a tool that builds JSON-LD structured data code without requiring you to write it manually. You fill in a form, and the generator produces valid schema.org markup that you paste into your HTML. This helps search engines understand your content and display rich results in search.

JSON-LD (JavaScript Object Notation for Linked Data) is Google’s recommended format for structured data. It is a block of JSON placed inside a <script type=”application/ld+json”> tag in your page’s <head>. It tells search engines the type and properties of your content — enabling rich results like star ratings, FAQs, and product prices in search listings.

This schema markup generator supports Article (including BlogPosting and NewsArticle), FAQPage, Product, LocalBusiness, BreadcrumbList, Event, HowTo, VideoObject, Review, and Recipe. These cover the most common rich result types in Google Search.

Generate your JSON-LD using this tool, copy the <script> tag output, and paste it inside the <head> section of your HTML page. In WordPress, you can paste it using a plugin like Rank Math, a header injection plugin, or directly in the theme’s header.php file.

Schema markup is not a direct ranking factor, but it significantly improves how your page appears in search results. Rich results like FAQ dropdowns, star ratings, and product prices improve click-through rates, which signals quality to Google and can indirectly boost your rankings over time.

Yes, completely free with no account required. The schema markup generator runs entirely in your browser — your content never leaves your device.

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