JSON to RDF Converter
Convert JSON to Turtle, N-Triples, RDF/XML, or JSON-LD. Use custom namespaces or Schema.org vocabulary for semantic web compatibility.
How it works
Use @id in your JSON to define custom subject URIs for resources.
Input JSON
Output RDF
Privacy First
All processing happens in your browser. Your data never leaves your device.
Multiple Formats
Export to Turtle, N-Triples, RDF/XML, or JSON-LD for any semantic web use case.
Schema.org Support
Auto-map common properties to Schema.org vocabulary for better interoperability.
Instant Conversion
Real-time client-side processing with automatic datatype detection.
What is RDF?
RDF (Resource Description Framework) is a W3C standard for representing information about resources on the web. It structures data as subject-predicate-object triples, making it ideal for linked data and knowledge graphs.
Format Comparison
| Format | Best For | File Extension |
|---|---|---|
| Turtle | Human-readable, compact notation | .ttl |
| N-Triples | Line-based processing, streaming | .nt |
| RDF/XML | XML tooling, legacy systems | .rdf |
| JSON-LD | Web APIs, JavaScript applications | .jsonld |
Conversion Rules
- •Nested objects become blank nodes with their own properties
- •Arrays create multiple triples with the same predicate
- •Numbers, booleans, dates are typed with XSD datatypes
- •Use
@idto specify custom subject URIs
Common Use Cases
Knowledge Graphs
Convert API responses to RDF for integration with graph databases like Neo4j or Amazon Neptune.
SEO & Structured Data
Generate JSON-LD markup for search engine rich snippets and social sharing.
Linked Data
Publish your data in RDF formats for SPARQL querying and semantic web integration.
Understanding the Triple: Subject, Predicate, Object
Every statement in RDF is a triple: three parts that read like a short sentence, a subject (the thing you are describing), a predicate (the property or relationship), and an object (the value or the thing it points to). The sentence "John Doe has the email john@example.com" becomes the triple ex:john-doe → schema:email → "john@example.com". Because each part is a globally unique identifier (a URI) rather than just a label, triples from different sources can be merged without the naming collisions that plague plain JSON keys.
This tool walks your JSON object and turns each key/value pair into one or more triples. The subject comes from your top-level @id, or defaults to :root if you omit it. Every property key becomes a predicate, and every scalar value becomes an object literal. Nested objects are expressed as blank nodes, anonymous subjects that hold their own set of triples, while arrays repeat the same predicate once per element. Numbers, booleans, and ISO date strings are automatically tagged with XSD datatypes such as xsd:integer and xsd:dateTime, so a consuming system knows a value is a real number or a timestamp rather than just text.
When Does RDF Actually Matter?
JSON is perfect when a single application owns its data and controls the shape of every field. RDF earns its keep the moment data needs to be combined, published, or reasoned over across independent systems. Because predicates are URIs drawn from shared vocabularies like Schema.org, two datasets that both use schema:name line up automatically: no manual field-mapping, no guessing whether one team's title means the same as another's name.
That property is what powers knowledge graphs, open government and research data portals, and the structured data search engines read from web pages. If you are loading data into a triplestore, running SPARQL queries, or publishing JSON-LD so Google can surface rich results, RDF is the right target. If you are simply passing data between your own front end and back end, plain JSON is usually the simpler choice, and you can always convert to RDF later when interoperability becomes a requirement.
Frequently Asked Questions
What is the difference between JSON and RDF?
JSON stores data as nested key/value pairs that only carry meaning inside the application that created them. RDF represents the same information as subject-predicate-object triples where each part is a globally unique URI, so data from different sources can be merged, queried with SPARQL, and understood without a shared, hand-written schema.
Which output format should I choose?
Use Turtle for the most human-readable, compact result. Choose N-Triples for line-based streaming or diffing where each triple stands alone. Pick RDF/XML when you need to interoperate with older XML tooling, and JSON-LD when you are embedding structured data in web pages or working in JavaScript.
How do I set the subject URI for my data?
Add an "@id" field to your JSON object. The converter uses it as the subject of the triples. For example, "@id": "person/john-doe" becomes ex:john-doe under your base URI. If you omit @id, the tool falls back to a generic ":root" subject.
What happens to nested objects and arrays?
Nested objects become blank nodes (anonymous subjects that hold their own triples) linked from the parent by the property name. Arrays generate one triple per element, all sharing the same predicate, which is exactly how RDF represents multiple values for a single property.
Is my JSON uploaded to a server?
No. The entire conversion runs in your browser using JavaScript. Your JSON is never sent to Fix42 or any third party, which makes the tool safe to use with internal or sensitive data.
What is the Schema.org vocabulary option for?
When enabled, common keys such as name, email, address, and price are automatically mapped to their Schema.org equivalents (schema:name, schema:email, and so on). This produces triples that search engines and other consumers already recognize, improving interoperability without manual mapping.
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