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Optical character recognition in manga images. Manga OCR desktop application

• About
• Alternatives
• User Guide
• Installation
• Acknowledgments

Poricom is a desktop program for optical character recognition in manga images. Although it is a manga OCR application, it can recognize text on other type of images as well. The project is a GUI implementation of theManga OCR library (supports Japanese only) and the Tesseract-API python wrappertesserocr (supports other languages). See demo below to see how it works.

Detect text on locally stored manga images:

Perform OCR on the current screen by pressingAlt+Q:

• Cloe - The app is based on Poricom's global snipping functionality. If you downloaded Poricom to useonly the global shortcut, it might be better if you use Cloe instead.
• mokuro - Converts manga images to web pages with selectable text. This saves you time and manual effort since textboxes are automatically detected with an almost 100% accuracy.

Follow the installation instructionshere. Load a directory with manga images and select text boxes with Japanese text. If you are not getting good results using the default settings,use the MangaOcr model to improve text detection.

Listed below are some of the features of Poricom. Smaller features that are not covered in this section are mentioned in thechangelog. Click the arrow to see how each implemented feature works.

Download the latest zip filehere. Decompress the file in the desired directory. Make sure that theapp folder is in the same folder as the shortcutPoricom.

Recommended:

• Hard drive: at least 800 MB HD space
• RAM: at least 2 GB

Approximately 250 MB of free space and 200 MB of memory is needed to run the application using the Tesseract API. If using the Manga OCR model, an additional 450 MB of free space and 800 MB of memory is required.

• Clone this repo and installconda.
• Install dependencies by runningconda env create -f environment/base.yaml.
• Activate the environment withconda activate poricom-py39 and run the app usingpython main.py.
• If you want to build the app locally, install build dependencies by runningconda env update -f environment/build.yaml. Then runpyinstaller main.spec in thebuild directory.

This project will not be possible without the MangaOcr model byMaciej Budyś and the Tesseract python wrapper bysirfz andthe tesserocr contributors.

The software is licensed under GPLv3 (seeLICENSE) and uses third party libraries that are distributed under their own terms (seeLICENSE-3RD-PARTY).

The icons used in this project are fromIcons8.