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OCR for Japanese manga

Project description

Manga OCR

Optical character recognition for Japanese text, with the main focus being Japanese manga. It uses a custom end-to-end model built with Transformers' Vision Encoder Decoder framework.

Manga OCR can be used as a general purpose printed Japanese OCR, but its main goal was to provide a high quality text recognition, robust against various scenarios specific to manga:

  • both vertical and horizontal text
  • text with furigana
  • text overlaid on images
  • wide variety of fonts and font styles
  • low quality images

Unlike many OCR models, Manga OCR supports recognizing multi-line text in a single forward pass, so that text bubbles found in manga can be processed at once, without splitting them into lines.

See also:

  • Poricom, a GUI reader, which uses manga-ocr
  • mokuro, a tool, which uses manga-ocr to generate an HTML overlay for manga
  • Xelieu's guide, a comprehensive guide on setting up a reading and mining workflow with manga-ocr/mokuro (and many other useful tips)
  • Development code, including code for training and synthetic data generation: link
  • Description of synthetic data generation pipeline + examples of generated images: link

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