Schema Score

What it does

Schema Score analyzes the JSON-LD structured data on any page in one click. It validates required and recommended fields across 16+ schema types, gives a 0–100% completeness score, flags invalid JSON with line and column, warns about duplicate types, and links straight to Google's Rich Results Test. 100% local, no data collected. Now bilingual (English and Portuguese, auto-detected). Built for SEOs and developers who want to audit structured data fast.

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  Schema Markup Generator (JSON-LD)Jul 2026 · nativewp.app · ▲8

  Free schema markup generator.

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  Schema API2021 · ▲143

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  Extract web data into structured JSON, no scraper required.

• PJ
  Pg_jsonschema – A Postgres extension for JSON validation2022 · github.com · ▲203

  pg_jsonschema is a solution we're exploring to allow enforcing more structure on json and jsonb typed postgres columns. We initially wrote the extension as an excuse to play with pgx, the rust framework for writing postgres extensions. That let us lean on existing rust libs for validation (jsonschema), so the extension's implementation is only 10 lines of code :) https://github.com/supabase/pg_jsonschema/blob/fb7ab09bf6050... happy to answer any questions!

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  JSON-LD Schema Generator11d ago · frostrank.com · ▲1

  Generate valid JSON-LD schema markup in seconds — no coding

• AN
  A new benchmark for testing LLMs for deterministic outputsApr 2026 · interfaze.ai · ▲60

  When building workflows that rely on LLMs, we commonly use structured output for programmatic use cases like converting an invoice into rows or meeting transcripts into tickets or even complex PDFs into database entries. The model may return the schema you want, but with hallucinated values like `invoice_date` being off by 2 months or the transcript array ordered wrongly. The JSON is valid, but the values are not. Structured output today is a big part of using LLMs, especially when building deterministic workflows. Current structured output benchmarks (e.g., JSONSchemaBench) only validate…

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