Updates
Product announcements, changes and feature updates.

What’s new in v1.4
Atype can now transform fragmented website content into structured, machine-readable entity data using Schema.org and JSON-LD.
New Capabilities
Semantic HTML extraction — Our processing workflow identifies business details hidden across headings, navigation, service pages, biographies, and unstructured page content.
JSON-LD graph generation — Extracted information is mapped into connected
Organization,LocalBusiness,Person,Service, andPostalAddressentities.Automated schema validation — Generated markup is checked for invalid properties, incomplete relationships, duplicate entities, and unsupported nesting before publication.
Improvements
Canonical URLs and entity identifiers are now assigned consistently across every published record.
The parser better handles malformed HTML, duplicated page elements, dynamically rendered content, and inconsistent heading structures.
Quality Fixes
Resolved cases where repeated navigation content could be mistaken for primary business information during extraction.

What’s new in v1.4
Atype can now transform fragmented website content into structured, machine-readable entity data using Schema.org and JSON-LD.
New Capabilities
Semantic HTML extraction — Our processing workflow identifies business details hidden across headings, navigation, service pages, biographies, and unstructured page content.
JSON-LD graph generation — Extracted information is mapped into connected
Organization,LocalBusiness,Person,Service, andPostalAddressentities.Automated schema validation — Generated markup is checked for invalid properties, incomplete relationships, duplicate entities, and unsupported nesting before publication.
Improvements
Canonical URLs and entity identifiers are now assigned consistently across every published record.
The parser better handles malformed HTML, duplicated page elements, dynamically rendered content, and inconsistent heading structures.
Quality Fixes
Resolved cases where repeated navigation content could be mistaken for primary business information during extraction.