KUR-creative/SickZil-Machine

Health v2 · maintenance only

Adoption not part of the score

1524 stars · 162 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

SickZil-Machine is a desktop application that automates text removal from manga and comic pages during the scanlation (translation) process. It uses two deep learning models — a U-net-based segmentation network to detect text regions and a Deepfill v2-based completion network to erase text and reconstruct the background naturally.

Use cases

• remove text from manga pages automatically
• clean comic panels for scanlation typesetting
• erase speech bubbles text while preserving background art
• prepare manga images for translation typesetting
• batch inpaint text regions in comic scans

When to choose

• you are scanlating manga or comics and need to erase original text
• you want fully automatic text detection and removal without manual editing
• you need natural background reconstruction after text removal

When to avoid

• you need text translation or typesetting itself — this only removes text
• you need a polished, actively maintained tool — it is a pre-release with ongoing groundwork
• you work with non-comic images where manga-trained models may underperform

Facets

application · maturity experimental

image-processing machine-learning deep-learning ocr image-processing computer-vision deep-learning media python cross-platform manga scanlation comics text-removal image-inpainting translation-helper desktop

Member repositories

For agents

markdown · JSON · MCP: product_card(name="KUR-creative/SickZil-Machine")