Automatic Library of Congress Subject Heading Suggester

Classifyes is an AI-powered tool that suggests accurate Library of Congress Subject Headings and streamlines cataloging with advanced visual-to-MARC conversion.

Streamline cataloging workflows with AI-driven subject recommendations and open-weights technology designed for the modern librarian.

Generate LCSH Recommendations Instantly

Smart Subject Indexing & Automated Classification

We improve catalog quality using intelligent LCSH suggestions. Our platform acts as a text-to-LCSH tool for librarians and metadata specialists, offering an AI assistant built for accurate, standards-based subject indexing.

LCSH Precision

Enhance cataloging accuracy with AI-driven LCSH predictions. Our advanced NLP engine maps text to correct LCSH terms.

Instant Generation

Generate LCSH recommendations instantly from any text. Transform raw text into authoritative Library of Congress headings in seconds.

Data Validation

Validate subject headings using the official LOC Linked Data Service. Effortlessly confirm headings via trusted LOC-backed data.

Our Library Automation Toolkit

LCSH Suggester AI

AI system designed for precise library subject classification. Speed up metadata creation with automated LCSH generation.

Input any text to receive justified candidates. This tool allows you to boost metadata consistency with machine-generated LCSH suggestions derived from a two-stage reasoning process.

Best for: Instant subject analysis, Reliable LCSH verification, Metadata consistency

Start LCSH Generator

Visual to MARC New

Revolutionary application that converts images of Turkish book colophon pages directly to MARC format. Powered by hybrid open-weight models (VLMs), it handles the heavy lifting of data entry.

Think of it as a "washing machine" for cataloging—it cleans up the workload (~85% accuracy), leaving the final "ironing" and validation to your expertise. Supports batch processing up to 10 books.

Best for: Turkish libraries, rapid record creation, reducing backlog

Try Visual App (Beta)

Thesis to MARC

Streamline cataloging workflows by automatically converting thesis metadata from YÖK Tez Merkezi into standardized MARC format. Copy, paste, and integrate directly into systems like Sierra.

Best for: Academic libraries, thesis cataloging automation

Convert Thesis Data

LCSH & Translation DB

Access a comprehensive database of 500,000+ terms or use our specialized English-Turkish LCSH translation tool. Essential for multilingual cataloging and localization.

Best for: Reference, bilingual cataloging, finding Turkish equivalents

Search Databases

AACR2 to RDA Converter

Modernize your catalog by converting legacy MARC records from AACR2 standards to RDA format. Ensure your metadata complies with current international cataloging standards.

Best for: Library modernization, record updating

Convert to RDA

Why Classifyes? The AI Advantage

Smart Cataloging Features

  • Smart subject indexing with automated LCSH suggestions.
  • Reliable LCSH verification through LOC Linked Data integration.
  • Transform raw text into authoritative Library of Congress headings.
  • Optimize cataloging processes with automated LCSH recommendation technology.
  • Improve discovery with precise, AI-generated subject headings.

Visual & Hybrid Tech

  • Visual Intelligence: New VLM technology extracts metadata from book images (Visual to MARC).
  • Hybrid AI Architecture: Uses open-weights models for transparent, high-accuracy results.
  • Multilingual Power: Analyze text in any language to find the correct English LCSH terms.
  • Automate subject indexing with trusted LOC-backed data.

Frequently Asked Questions

How can I generate LCSH recommendations instantly from text?
Use the Classifyes LCSH Suggester. It is an AI-powered tool designed to improve discovery with precise, AI-generated subject headings. Simply paste your abstract or text, and our advanced NLP engine maps the text to correct LCSH terms in seconds.
How does the new "Visual to MARC" book converter work?
Our new application uses visual language models to read images of Turkish book colophon (künye) pages. You can upload up to 10 images at a time. In about 15 seconds per book, it generates a MARC record. While it provides ~85% accuracy, we recommend it as a "drafting" tool to speed up initial entry, requiring final validation by a librarian.
Does this tool allow me to validate subject headings?
Yes. Classifyes allows you to get fast, validated LCSH suggestions using official LOC data. It is designed to enhance cataloging accuracy and boost metadata consistency with machine-generated suggestions that are grounded in authority files.
Is this an automatic Library of Congress Subject Heading suggester?
Exactly. Classifyes is a leading automatic Library of Congress Subject Heading suggester. It automates subject indexing with trusted LOC-backed data, making it an essential text-to-LCSH tool for metadata specialists.

Ready to Optimize Your Cataloging Workflow?

Join librarians who use Classifyes to automate subject indexing and visual data entry.

Try LCSH Suggester Try Visual MARC App