Slicing a 30,000px Webtoon Without Cutting Speech Bubbles in Half
A practical approach to splitting very tall images for OCR and translation, with code.
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A practical approach to splitting very tall images for OCR and translation, with code.
From handling heavy AI computer vision pipelines to scaling global edge requests without a massive backend team: Here is the exact architecture I use to ship production-ready micro-SaaS apps solo. Whe

Generative AI has evolved rapidly beyond text and 2D images, moving straight into spatial geometry. However, engineering a production-ready pipeline that transforms a flat 2D image into a structured,

Moving beyond basic API wrappers to solve context-aware video localization and native vocal fingerprint replication at scale. Hey developers, Video localization in 2026 is still fundamentally broken.

Why translating comics is an image-processing challenge, not just a language one.

When I first started building a manga translator, the goal seemed straightforward: Take Japanese text → translate it → show the result Like most developers, I approached it as a technical problem. Im

The "Wrapper Trap" in AI software and the technical debt of ignoring spatial context in Japanese Manga.

The Engineering Challenge Processing high-resolution images for optical character recognition (OCR) typically involves heavy server-side lifting, leading to significant latency. When dealing with spec
AI is getting really good at translating text. But translating manga is a completely different problem. Unlike normal text translation, manga has: text embedded inside images speech bubbles with irr
