Paste a block of JSON-LD and get back the exact line that breaks it, what the missing property should contain, and a corrected block you can copy into your <head>. The validator runs inside a Taskade project, so every check stays saved next to its URL instead of vanishing when you close the tab. No signup wall, no request limit.
TL;DR: Most JSON-LD validators hand you a pass/fail and forget you were there. Taskade explains each error in plain language, rewrites the broken block, and keeps a living log of every URL you have checked — editable across multiple project views and shareable with your dev team. Validate yours free →
What Is a JSON-LD Validator?
A JSON-LD validator checks two things that are easy to confuse. First, whether your markup is valid JSON — a trailing comma or a curly smart quote fails here. Second, whether it uses schema.org vocabulary correctly — a Product carrying a review with no author passes the syntax check and still fails this one. This tool runs both passes, then separates errors that block rich results from warnings that only make your markup tidier. Write new blocks with the Schema Markup Generator, migrate legacy inline tags with the Microdata to JSON-LD Converter, or start from a typed template like Product Schema, Article Schema, or FAQ Schema.
Syntax, Vocabulary, Eligibility: What You Get vs a Plain Validator
A generic validator answers "is this parseable?" That is one third of the job. The other two thirds — is the vocabulary right, and will Google act on it — decide whether you earn a rich result.
| What gets checked | Typical online validator | Taskade |
|---|---|---|
| JSON syntax | Raw parser error and a line number | Plain-language cause plus the corrected line |
| schema.org types | Flags an unknown @type |
Suggests the closest valid type and its required properties |
| Required vs recommended | Merged into one warning list | Split: what blocks rich results vs what only improves them |
Nesting and @graph |
Rarely checked | Verifies every @id reference resolves inside the same graph |
| Corrected output | You retype it yourself | A fixed block you copy straight out |
| Validation history | Nothing saved | Every URL and result kept in an editable project |
The Errors That Actually Block Rich Results
These six cause most failed validations. The validator names the cause rather than echoing the parser.
| Error you see | What it really means | The fix |
|---|---|---|
| Unparsable structured data | A trailing comma, smart quote, or unescaped quote | Straighten quotes, escape inner ones, drop the last comma |
| Missing field "image" | A required property is absent, not just recommended | Add an absolute URL, never a relative path |
| Invalid enum value | The property expects a schema.org URL, not free text | Use https://schema.org/InStock, not "in stock" |
| Incorrect value type | A date, price, or duration is in the wrong format | ISO 8601 dates, plain decimals for price, PT30M for duration |
Invalid @id value |
A node reference points nowhere | Give every node a stable absolute @id and reuse it |
| Duplicate field "aggregateRating" | Two blocks describe the same entity twice | Merge into a single @graph with one node per entity |
How to Validate Your JSON-LD
Paste your JSON-LD block, or drop in the page URL, using the generator above.
Read the split report: blocking errors first, then recommended properties that widen your eligibility.
Copy the corrected block into your
<head>, or ask the AI to rewrite it for a different@type.Log the URL, date, and result in the project so you can prove what changed and when.
Switch project views — Table to track every URL and its status, Board to sort fixes by priority, List for a site-wide pass — then share it with whoever ships the code using permissions from Owner down to Viewer.
Build Your Whole Structured Data Workflow From One Validator
Validation is the last step of a loop. These cover the rest, all in one workspace:
Schema Markup Generator — write the block from plain English before you validate it, or use the Custom Schema Builder to assemble a nested
@graphfor pages carrying several entities.Breadcrumb Schema and Organization Schema — the two site-wide blocks most sites get wrong.
Review Schema and Aggregate Rating Schema — the pair that trips duplicate-field errors when added separately.
How-To Schema, Video Schema, and Local Business Schema — typed starters for formats that still earn enhanced results.
Schema Markup Generator agent and On-Page SEO Optimizer — AI Agents with built-in tools that audit a whole URL list, not one page.
Sitemap Indexer and Change Detector — automations that catch a deploy stripping your markup out.
SEO Audit Report and the Search Console Data Analyzer — tie impressions and rich-result coverage back to the pages you fixed.
Frequently Asked Questions
Is the JSON-LD validator free?
Yes. Validate JSON-LD on Taskade's free plan with no credit card, no request cap, and no truncated output. New accounts get a one-time 11,000 AI credit grant — 1,000 when you verify your email and 10,000 on your first build — enough to validate and rewrite markup across a full site section. Paid plans start at $10/month total for up to 10 members, billed annually, for more AI usage or a larger team.
How do I validate JSON-LD markup?
Paste the block or the page URL into the generator above. The AI parses it as JSON first, then checks it against schema.org vocabulary, and returns a report split into blocking errors and optional improvements. Each finding names the property, explains why it fails, and shows the corrected line.
How is this different from Google's Rich Results Test?
Google's tools tell you whether one URL is eligible right now; they do not keep a record, explain the vocabulary, or write the fix. This validator does all three and keeps the history in a project you own. Use both: repair here, then confirm eligibility in Google's tester before you ship.
Why is my JSON-LD valid but still not showing rich results?
Valid markup is necessary, not sufficient. Three causes cover almost every case: the type has no rich result in your market (Google narrowed FAQ and HowTo eligibility in 2023), the markup contradicts what a visitor sees, or Google has not recrawled since your fix. The validator catches the first two by comparing your properties against the visible content you paste alongside them.
Can it check multiple schema types and @graph on one page?
Yes, and this is where single-purpose validators stop. Paste a full @graph and the AI walks each node, confirms every @id reference resolves inside the same block, and flags entities described twice — the usual source of duplicate aggregateRating and Organization errors on pages that stack a template block on a hand-written block.
Which AI models power the validation?
Taskade routes the check through 15+ frontier models from OpenAI, Anthropic, Google, and open-weight providers, and you pick the model per task. Because the models read schema.org vocabulary rather than a fixed rule list, they catch what a regex linter misses: a datePublished later than dateModified, an author typed as a string instead of a Person, or an offers currency that contradicts the price.
Can I share validation results with my developer?
Yes. Share one link and your developer opens the same report, comments inline on a specific error, and checks off each fix as it ships. Permissions from Owner through Viewer decide who edits versus reads, and you can embed the project as a client-facing status page.
Can I automate JSON-LD validation across my site?
Yes. Point an AI Agent at a URL list and let it validate each page on a schedule, then use an HTTP request action or one of 100+ integrations to post a summary to Slack the moment markup breaks. Pair it with an automation trigger so a deploy kicks off the re-check for you.