AUTOMATED SEMANTIC INTELLIGENCE ENGINE.

Classification
instantly, @scale.

The Automated Cataloging Engine for Publishers, Libraries, and EdTech

Taxonic converts unstructured text such as book titles, academic course names, syllabus excerpts, and digital learning assets into standardized subject codes across publishing and higher education taxonomies.

Classifying books, research papers, and course materials is crucial for content discoverability. However, manual tagging takes 15 to 45 minutes per title. Taxonic solves this bottleneck completely. It is an automated classification engine that converts raw text like book titles, syllabi, and learning assets into official subject codes within a single second.

Taxonic uses AI to understand the actual meaning of your content, not just keywords. It then maps unstructured text directly to key global standards, including Library of Congress Subject Headings (LCSH), THEMA (v1.7), and HECoS (v9.0).

Your team can start using Taxonic instantly with zero training, and can test it here itself at no cost. Editorial staff and catalogers can bulk-classify thousands of records directly in Google Sheets using a simple custom formula like =TAXONIC(). For enterprise software, Library Services Platforms, and publishing tools, Taxonic provides a fully documented high-speed REST API.