Metadata-Version: 2.1
Name: manga-ocr
Version: 0.1.4
Summary: OCR for Japanese manga
Home-page: https://github.com/kha-white/manga_ocr
Author: Maciej Budyś
Author-email: kha-white@mail.com
License: Apache License 2.0
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Description-Content-Type: text/markdown
License-File: LICENSE

# 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/visionencoderdecoder) 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.

Code for training and synthetic data generation will be released soon.



