AZW3 Viewer

The AZW3 Viewer provides a non-destructive analysis of Kindle AZW3 files by parsing container structures and extracting embedded metadata and text. It targets librarians, researchers, and publishers who need reliable metadata and sample text without relying on Kindle applications. Conceptually, the tool reads AZW3/MOBI headers, locates EXTH metadata, and decodes HTML/text resources to assemble a clean text extract. Core features include metadata extraction, page_count estimation, and full-text content retrieval, all delivered in structured outputs suitable for catalogs, archives, or research pipelines. The approach avoids any DRM circumvention; if DRM is detected, the tool reports status and halts content extraction to maintain compliance and legality. The value lies in fast, repeatable analysis that supports data normalization, provenance tracking, and integration with library workflows. Use cases include ingesting new eBook files into catalogs, validating metadata quality, and creating text samples for textual analysis or linguistic research. Unique differentiators include explicit DRM-awareness, non-destructive extraction, and export-ready data structures that integrate with digital libraries and metadata pipelines. Core features also support basic validation of AZW3 structure and language tagging, enabling researchers to assess compatibility and content prior to deeper processing.