HWPX Viewer

HWPX Viewer enables secure inspection of Hangul HWPX documents by parsing the file container and returning a structured representation of its content, metadata, and embedded resources. It is intended for document engineers, archival specialists, data engineers, and developers integrating HWPX parsing in pipelines and content-management workflows. Typical use cases include pre-migration validation to ensure structural integrity, indexing for search systems to improve discovery, and comprehensive content inventories required for compliance. The tool operates without modifying the source file, preserving provenance and enabling repeatable analyses in regulated environments where data integrity is paramount.

Conceptually, the tool uses a deterministic parser aligned to the HWPX specification to construct a hierarchical model of the document, capturing sections, metadata blocks, and resource references. It extracts metadata fields such as title, author, creation date, and language, enumerates embedded fonts and images, and lists cross-references within the document structure. Optional deep diagnostics reveal resource sizes, encoding details, and content samples. The processing is designed to be offline and non-destructive, with streaming capabilities to handle large HWPX files efficiently while maintaining predictable memory usage and reproducible results.

Core value lies in automated extraction and interoperability: outputs can feed crawlers, registries, or metadata schemas; exports in JSON or XML enable integration with existing ETL and search pipelines. Because it does not modify the original file, it supports safe auditing and compliance checks. Unique differentiators include robust HWPX parsing, detailed resource reporting, and offline operation suitable for sensitive environments, along with straightforward export formats for downstream tools.