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ciromattia avatar

ciromattia/kcc

0
View on GitHub↗
4,790 stars·319 forks·Python·isc·17 views

Kcc

Kindle Comic Converter (KCC) is a tool that transforms comic and manga archive files (CBZ, CBR, and similar formats) into e-book formats designed for dedicated e-reader devices. It outputs EPUB, MOBI, and PDF files, automatically adjusting page layouts for optimal reading on small screens.

To make comics readable on e-ink displays, the converter performs spread splitting—detecting centre seams in double-page spreads and splitting them into single pages—and white-line panel detection, which identifies panel boundaries for automatic cropping. It also includes binarization with dithering to convert grayscale images into clear black-and-white images suited for e-ink, and uses output profile configuration to match target device screen sizes and resolutions. The tool supports fixed-layout MOBI generation for Kindle devices and preserves reading order for manga formatting.

KCC offers batch processing of multiple archives while preserving metadata, and applies e-ink display optimization such as cropping borders and enhancing contrast to improve readability on dedicated readers.

Features

  • Comic Archive E-book Converters - Converts CBZ and CBR comic archives into EPUB, MOBI, and PDF with page layouts tailored for e-readers.
  • Kindle Comic Preparers - Prepares comic and manga archives for Kindle devices by automatically splitting panels and cropping pages.
  • Kindle Fixed-Layout E-book Generators - Produces Kindle-optimised MOBI files with pixel-perfect page positioning using the KF8 fixed-layout format.
  • E-Reader Page Layout Optimizers - Automatically splits double-page spreads, rotates pages, and adjusts panel sizes for optimal e-reader reading.
  • Comic E-ink Optimizers - Optimizes comic page layouts and contrast for e-ink screens by cropping borders and enhancing readability.
  • Comic Spread Splitting Techniques - Splits double-page comic spreads into single pages by detecting centre seams with histogram analysis.
  • Binarization Dithering Methods - Converts grayscale comic pages to pure black-and-white using thresholding and diffusion dithering for e-ink reproduction.
  • Panel Detection Techniques - Detects panel boundaries by scanning for white gaps between image regions for automatic cropping.
  • Batch Comic Converters - Processes multiple comic archives in batch, preserving metadata and generating consistent output formats.
  • Comic to EPUB Converters - Converts CBZ and CBR comic archives into standard EPUB e-books with embedded metadata and cover images.
  • Manga E-book Converters - Converts manga archives into e-reader-optimized e-books, preserving reading order and splitting double-page spreads.
  • E-Reader Output Profiles - Selects target e-reader device parameters from a library of screen size and resolution profiles to optimize output.

Star history

Star history chart for ciromattia/kccStar history chart for ciromattia/kcc

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

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Frequently asked questions

What does ciromattia/kcc do?

Kindle Comic Converter (KCC) is a tool that transforms comic and manga archive files (CBZ, CBR, and similar formats) into e-book formats designed for dedicated e-reader devices. It outputs EPUB, MOBI, and PDF files, automatically adjusting page layouts for optimal reading on small screens.

What are the main features of ciromattia/kcc?

The main features of ciromattia/kcc are: Comic Archive E-book Converters, Kindle Comic Preparers, Kindle Fixed-Layout E-book Generators, E-Reader Page Layout Optimizers, Comic E-ink Optimizers, Comic Spread Splitting Techniques, Binarization Dithering Methods, Panel Detection Techniques.

Which projects share features with ciromattia/kcc?

Projects with overlapping indexed features include: lorenzodifuccia/safaribooks — This project is a digital library exporter and EPUB content generator specifically designed to download and convert… kanasimi/work_crawler — This project is a web-based manga and novel downloader and multi-site web scraper designed to extract images and text…

Projects sharing features with Kcc

These projects share indexed features with Kcc. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • lorenzodifuccia/safaribookslorenzodifuccia avatar

    lorenzodifuccia/safaribooks

    5,091View on GitHub↗

    This project is a digital library exporter and EPUB content generator specifically designed to download and convert books from the O'Reilly Learning platform into electronic publication files for offline reading and permanent storage. It functions as a web content scraper that retrieves restricted text and media to facilitate digital library archiving. The tool manages session authentication using credentials or cookies to maintain continuous access to content. It retrieves books via unique identifiers and transforms the source material into standardized EPUB files, including layout optimizat

    Pythoncalibreepuboreilly
    View on GitHub↗5,091
  • kanasimi/work_crawlerkanasimi avatar

    kanasimi/work_crawler

    4,073View on GitHub↗

    This project is a web-based manga and novel downloader and multi-site web scraper designed to extract images and text from diverse media platforms. It functions as a digital media archiver and EPUB e-book generator, using a plugin-based crawler architecture with site-specific scripts to define how content is extracted from various international websites. The system distinguishes itself through authenticated web crawling, using browser cookie simulation to access restricted or member-only content. It includes specialized capabilities for digital comic archiving, which organizes image sequences

    JavaScriptcejscomic-downloadercomics
    View on GitHub↗4,073