semvec/pypi-packages huggingface dataset:
manga-ocr-abang 0.2.0
OCR for Japanese manga
License: Apache License 2.0

# 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](https://huggingface.co/docs/transformers/model_doc/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](https://github.com/bluaxees/Poricom), a GUI reader, which uses manga-ocr
- [mokuro](https://github.com/kha-white/mokuro), a tool, which uses manga-ocr to generate an HTML overlay for manga
- [Xelieu's guide](https://rentry.co/lazyXel), 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](manga_ocr_dev)
- Description of synthetic data generation pipeline + examples of generated images: [link](manga_ocr_dev/synthetic_data_generator)