KOKF Generator

Open Knowledge Format (OKF) Generator Free Online

Scan any public company website and turn its pages, products, contacts, and social profiles into portable, structured, AI-ready knowledge.

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◆About the format

What is Open Knowledge Format (OKF)?

Open Knowledge Format is an open, portable approach to representing knowledge in a structured way. Instead of locking information into a single application or a closed, proprietary format, OKF keeps content — company data, documentation, references, and relationships — in machine-readable, interoperable files that humans, AI systems, and other tools can all consume.

It sits alongside established open standards rather than replacing them. The goal is the same one behind Open Data and Open Access: make knowledge easy to share, reuse, validate, and move between systems without losing structure or meaning.

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Portable by design

Knowledge is stored in open file formats — Markdown, JSON, YAML, HTML, CSV, XML, and more — so it is never trapped inside a proprietary tool.

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Built for interoperability

Structured metadata, taxonomies, references, and linked relationships make it easier for knowledge graphs, AI assistants, and downstream systems to exchange information.

How does OKF work?

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Structured around metadata and schema
Every knowledge package carries consistent metadata, a clear schema, and namespaces that give each piece of content a stable identity.
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Organized with taxonomy and ontology
Concepts are grouped and related so a reader can move from a company to its products, services, documentation, and APIs without losing context.
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Linked relationships
References connect people, products, organizations, and documents the way the Semantic Web and Linked Data connect resources — through URIs and meaningful links.
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Machine-readable exchange
Because the model is explicit and structured, it can be parsed, validated, and reused by AI systems, search tools, and other software.

What does an OKF file contain?

🏷️ Metadata for discovery and provenance
🗂️ A taxonomy for consistent categorization
🕸️ An ontology describing entities and relationships
🔗 References and linked resources
📄 Structured content across files
📦 Exports such as Markdown, JSON, JSON-LD, RDF, XML, CSV, ODF, and PDF

Why is OKF important for knowledge sharing?

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Knowledge management
Provides a consistent structure for documenting and organizing what an organization knows.
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Data portability
Lets users move knowledge between systems without proprietary lock-in.
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Data interoperability
Makes it possible for different tools and platforms to understand the same data.
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Open access and collaboration
Supports open, reusable publishing across teams, communities, and institutions.

How does OKF compare with RDF, JSON-LD, and other formats?

FormatRelationship to OKF
RDFRDF provides a graph model for linked statements; OKF can use it as one of several serialization options.
JSON-LDJSON-LD embeds linked data in JSON and works well as an OKF export for web and AI consumption.
XMLXML offers a structured, interoperable representation that complements OKF's human- and machine-readable exports.
Proprietary formatsOKF deliberately avoids closed formats in favor of open standards that preserve access and portability.

Where can Open Knowledge Format be used?

🏢 Enterprise knowledge management🤖 AI knowledge bases🏛️ Government open data🔬 Open science and research🎓 Open educational resources📚 Publishing and documentation

Standards and principles that influence OKF

◆Open Definition
◆FAIR principles
◆Semantic Web
◆Linked Data
◆Data governance
◆Data licensing

Organizations and people behind open knowledge

Organizations

  • Open Knowledge Foundation
  • Creative Commons
  • W3C
  • Open Data Institute
  • Wikimedia Foundation

Key people

  • Rufus Pollock
  • Tim Berners-Lee
  • Aaron Swartz
  • Lawrence Lessig

Tools, technologies, and platforms that work with OKF

CKANDataverseRDF and OWLSPARQLSKOSJSON-LD parsers and validators

How to create and validate an OKF file

1
Define the model
Decide what entities, metadata, and relationships matter for the knowledge being captured.
2
Structure the content
Organize information into consistent files, schemas, taxonomies, and references.
3
Validate and reuse
Check the output against the OKF schema and best practices, then share it in open formats.

Benefits and limitations of OKF

Benefits

  • Strong interoperability between systems
  • AI-friendly structured knowledge
  • Portable, open, and reusable data
  • Consistent representation across formats

Limitations

  • Adoption is still evolving
  • Tooling and validation remain fragmented
  • Governance needs to keep pace with the format

FAQ

Is OKF an official specification?
OKF is best understood as an open, evolving approach to knowledge representation rather than a single rigid standard.
Is OKF suitable for AI and knowledge graphs?
Yes — its structured metadata, taxonomies, and linked relationships map naturally to AI systems and graph-based data.
Can OKF be used for enterprise documentation?
Yes — enterprises can use it to organize products, services, contacts, and documentation into portable knowledge packages.
Does OKF replace RDF or JSON-LD?
No — OKF can incorporate RDF and JSON-LD as export or serialization options, complementing them rather than replacing them.
What is the difference between open knowledge and open data?
Open data refers to freely available structured data; open knowledge extends that idea to curated, connected, and reusable information.
How can organizations adopt OKF successfully?
Start with a consistent knowledge model, use open formats, and validate outputs so they remain interoperable over time.

Export formats

.md
Markdown
Human-readable documentation
.html
HTML
Standalone page
.json
JSON
Machine-readable data
.yaml
YAML
Configuration-friendly
.txt
TXT
Plain text summary
.csv
CSV
Tabular export
.xml
XML
Legacy systems
.zip
OKF
Open Knowledge Format

How it works

  1. 1
    Enter a company website
    Any public URL — no signup required.
  2. 2
    We scan it
    The crawler reads robots.txt, sitemap.xml, and the homepage to discover important pages.
  3. 3
    We extract knowledge
    Company info, products, social profiles, technologies, documentation, and API endpoints are organized into one structured model.
  4. 4
    You export
    Download the knowledge in any open format, or as an OKF-compatible folder bundle.

What gets discovered

🏢 Company name, description & industry
🎯 Mission, vision & headquarters
📧 Contact email, phone & address
📦 Product & service pages
💳 Pricing, careers & FAQ pages
🌐 Social media profiles
⚙️ Technology stack detection
📄 Documentation & API endpoints
🗺️ Website structure from sitemap
🤖 robots.txt crawl rules