IPC web tool

The IPC web tool analyzes input text or a target webpage to assign International Patent Classification codes with confidence scores. It normalizes content, extracts technical terms, and compares them against a versioned IPC taxonomy to produce a ranked list of codes. The system blends rule-based taxonomy rules with NLP-driven similarity metrics to accommodate evolving classifications, providing rationales for each mapping. This yields actionable guidance for patent planners, technical marketers, and IP teams seeking precise categorization and discoverability. By delivering top IPC codes, aligned titles, and suggested keywords, the tool supports prior-art searches, patentability assessments, and content optimization for IP-focused audiences. Users benefit from speed, consistency, and audit trails for classification decisions, plus exportable results suitable for reports and filings. Distinctive value includes edition-aware mapping, multi-language capability where text is available, and API-ready outputs for batch analyses. Typical use cases include classifying technology articles, evaluating product pages for patent-relevant terms, and preparing documentation that aligns with IPC terminology to improve search precision and competitive intelligence.