Manga Text Removal.
A Python-based image processing tool designed to remove text from manga panels and images using OCR and computer vision techniques.
Last updated: 1 year ago
Manga Text Removal is a Python-based image processing application developed to automatically remove text from manga panels and other images using OCR and computer vision techniques.
The project combines text detection and image reconstruction methods to clean image areas while preserving the surrounding visual content.
Built using OpenCV, pytesseract, and NumPy, the application provides multiple approaches for text removal depending on the desired output quality and processing workflow.
The system supports both simple text masking and advanced inpainting techniques to generate more natural-looking image restoration results.
Features
- Automatic text detection using OCR
- Manga text removal automation
- White background replacement method
- Inpainting-based text reconstruction
- OpenCV image processing workflow
- Support for multiple image formats
- Batch image processing support
- Lightweight Python-based architecture
- Adjustable text detection regions
- Image restoration optimization
- Easy customization and extension
Text Removal Methods
1. White Background Replacement
Detected text regions are replaced with a solid white background, making it suitable for clean manga panel editing workflows.
2. Inpainting Reconstruction
Uses OpenCV inpainting techniques to reconstruct text areas based on surrounding image pixels for more natural image restoration results.
License
MIT License © 2025 FannyDevz