viewer cbr

The viewer cbr tool renders multi-image archives in CBZ/CBR without requiring desktop software, enabling offline access to comic pages for readers, librarians, and archivists. It accepts file-based inputs and preserves image quality and reading order, even when the source archive contains mixed resolutions or embedded color profiles. The design targets integration into digital libraries and content platforms that need automated, deterministic page rendering from archive formats, with clear error codes for missing or unreadable entries.
Core processing flow begins with archive type recognition, then sequential image extraction and decoding of common formats (JPEG, PNG, WEBP). Each page is produced as a bitmap suitable for display or further processing. The system supports lazy loading and per-page caching to minimize memory usage, and can generate thumbnails for previews. Optional features include password support and export-ready outputs. The solution distinguishes itself by a data-centric, headless design that favors reproducibility, error reporting, and deterministic results over UI-driven interactions.
The tool differentiates itself with a data-centric, headless pipeline: it emphasizes fidelity to original pages, predictable ordering, and robust error handling for corrupted or partial archives. Use cases include offline reading kiosks, bulk-import workflows, and research scenarios where fidelity, repeatability, and automation are critical.
Outputs are structured and machine-friendly: a rendered page image, total_pages, current_page, and optional artifacts such as per-page PNGs or a consolidated PDF. By exposing a clean processing model and minimal UI assumptions, developers can build custom viewers, automated previews, or metadata extractors around the core rendering engine.