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Browser-based tool

Schema Generator

Generate editable JSON-LD for Article, Product, FAQPage, HowTo, LocalBusiness or Review from supplied fields.

Six schema types

Choose Article, Product, FAQPage, HowTo, LocalBusiness or Review.

Output choices

Formatted JSON-LD

Access and credits

Local generation does not call a credit-gated processing API.

How it works

Done In 3 Simple Steps.

1

Choose a matching type

Select the type that accurately describes visible page content.

2

Supply factual fields

Enter real names, URLs, dates and other supported values.

3

Generate and validate elsewhere

Copy the JSON-LD, complete missing properties and validate it before publishing.

Supported formats and capabilities

Know Your Output Options.

Formatted JSON-LD

FAQ

Frequently Asked Questions

Still have questions? View the full FAQ or Contact.

01

Introduction

Structured data should describe content that really exists on a page. Schema Generator turns a small set of form fields into a JSON-LD starting point. It does not validate eligibility for search enhancements or supply missing facts about a business, product or review.

02

What This Tool Does

The browser builds a JSON object for the selected supported type and serializes it as formatted JSON-LD. Field sets are intentionally small. Required search-engine properties can still be missing, and empty or inaccurate values need correction before installation.

Key features

Schema Generator Features

Select a schema type, fill its fields, generate and copy the JSON-LD. Changing the type resets the relevant fields and result.

Six Schema Types

Choose Article, Product, FAQPage, HowTo, LocalBusiness or Review.

Type-Specific Fields

Show a compact field list for the selected type.

JSON Serialization

Create formatted JSON through object serialization.

Copyable Markup

Transfer the generated JSON-LD to an editing workflow.

Local Processing

Build the object without sending form fields to a generator API.

Explicit Source Values

Use supplied facts instead of invented ratings or reviews.

Benefits

Why People Actually Use It.

Beyond the headline features, here is what the tool unlocks in real workflows.

Markup Starting Points

Avoid writing the initial object shape by hand.

Factual Review

Keep the submitted values visible for checking against the page.

Developer Handoff

Provide an editable snippet that can be completed and validated.

Best practices

Use It The Right Way.

A few habits that consistently produce the best results.

  • 1Describe only content genuinely visible on the target page.
  • 2Never invent ratings, prices, dates or review authors.
  • 3Complete required properties for the intended consumer.
  • 4Validate the JSON and search-feature eligibility before publishing.

Helpful Resources

Guides and Official References

Use the reference below for the formats, concepts or platform rules relevant to Schema Generator. The capabilities described on this page are limited to the controls SavDown actually provides.

SavDown Service Information

Official Documentation

External documentation describes its own platform or standard and does not imply that SavDown implements every feature it documents. See the SavDown privacy policy and pricing page for account and service details.

Supported inputs

Supported Inputs and Compatibility

Generation runs as local string logic in your browser. It does not crawl websites, retrieve search-volume data, query live rankings or guarantee search visibility. Copying requires browser clipboard support.

Article fieldsProduct fieldsFAQ questions and answersHowTo stepsLocalBusiness fieldsReview fields

Common use cases

Built For Real Workflows.

Practical applications of the inputs, controls and outputs described above.

1

Article Implementation

Start a structured-data object for a real editorial page.

2

Business Pages

Draft local business identity markup from actual details.

3

Developer Reviews

Discuss a candidate schema object before deployment.

Tips & tricks

Power-User Tips.

Small habits that save time and produce better files.

The output is JSON-LD, not an automatically installed script element.
FAQ markup does not guarantee an FAQ search enhancement.
A syntactically valid JSON object can still be semantically incomplete.
Review dates and absolute URLs carefully.

Why choose SavDown

Why This Tool?

Type-specific fields make a small JSON-LD object easier to draft and discuss with a developer. The result stays editable, which matters because the final page facts and consumer requirements determine what should actually be published.

Your controls

Select a schema type, fill its fields, generate and copy the JSON-LD. Changing the type resets the relevant fields and result.

Processing and privacy

Tool computation runs in the browser; normal site privacy policies still apply.

Usage requirements

Local generation does not call a credit-gated processing API.

Conclusion

Wrapping up.

Choose the matching type, supply real values and generate a draft. Complete and validate the object against visible page content before installing it.