Manga vs Manhwa vs Webtoon: What’s the Difference?

Three Formats, Three Production Challenges

Manga, manhwa, and webtoon are often grouped together as “Asian comics,” but from a production standpoint they’re quite different. Manga (Japanese) uses fixed-size pages, typically around 690×1024 pixels digitally, with dense panel layouts and thin gutters. Manhwa (Korean print comics) uses a similar page-based format but with slightly different panel conventions. Webtoons (Korean digital format) use long vertical strips, often 800-1280 pixels wide and 5000-20000 pixels tall, designed for mobile scrolling.

These format differences affect every stage of the colorization pipeline. Page dimensions determine how the AI scales and processes the content. Panel layout affects how scenes are detected and split. Divider style — black for webtoons, often white or gray for manga — determines which detection algorithm applies.

A colorization tool that works well for webtoons but hasn’t been tested on manga will fail on the different panel structure. Understanding these differences is essential for publishers working across multiple formats.

Page Layout: How Format Shapes the Colorization Pipeline

Webtoon pages are tall vertical strips optimized for phone scrolling. A typical page might be 1280 pixels wide and 8000 pixels tall — an aspect ratio of 1:6 or more. When sent to an AI model that accepts 2048 pixels maximum, this gets scaled to roughly 340×2048. That’s barely enough horizontal resolution for the AI to distinguish character features, let alone render convincing colors.

This is the original problem that virtual image splitting was designed to solve. By splitting a 1280×8000 strip into three or four smaller bands, each band gets processed at a wider effective resolution. A 1280×2000 band scales to 1280×2048 — nearly four times the horizontal resolution compared to processing the full strip.

Manga pages have the opposite geometry: wider than they are tall. A 690×1024 page scales to 1380×2048 — excellent resolution. But manga pages pack multiple dense panels with thin gutters, and the AI needs to colorize each panel independently while maintaining consistency across the page. The challenge shifts from resolution to panel comprehension.

Panel Dividers and Gutters: Not All Black Space Is Equal

Webtoons use large black panel dividers — often 60 to 200 pixels of pure rgb(0,0,0) between scenes. These are the ideal case for our black-void detection: clearly defined, consistently formatted, and wide enough to split confidently. The 95% black-row threshold with an RGB sum below 15 catches these perfectly while ignoring dark art content.

Manga uses thin white or gray gutters between panels, typically 5-15 pixels wide. These are invisible to black-void detection because they’re the opposite color. For manga, our pipeline uses the force-split fallback: when a page is tall enough to cause resolution problems but has no black dividers, it scans for light-colored gutters (RGB sum above 600) and splits there instead.

Manhwa falls in between. Korean print comics often use black dividers like webtoons but with thinner widths closer to manga gutters. Some manhwa uses a mix of black and white dividers on the same page. Our detection system handles this naturally because it scans every row independently — it doesn’t assume a consistent divider style across the page.

Aspect Ratios and API Constraints

AI image models have maximum resolution constraints. Google Gemini accepts images up to 2048 pixels on the longest side. This single constraint has cascading effects that differ dramatically by format.

A manga page at 690×1024 scales to 1380×2048 — excellent quality with plenty of horizontal resolution for panel detail. A webtoon page at 1280×4000 scales to 655×2048 — acceptable but noticeably less crisp. A webtoon page at 1280×12000 scales to 218×2048 — so narrow that character faces are blurry and the AI can’t produce good colorization.

This is why virtual image splitting has a force-split threshold at aspect ratio 2.5. Any image taller than 2.5x its width gets split into chunks targeting a 2.0 aspect ratio, ensuring each chunk gets processed at adequate resolution. For manga, this threshold is rarely hit. For webtoons, it triggers on almost every page.

Choosing the Right Approach for Each Format

For webtoons, the pipeline works optimally out of the box. Black dividers are detected automatically, pages are split into scene-level bands, and intelligent batching groups continuations together. The only tuning needed is palette setup for the series.

For manga, expect fewer splits per page (many manga pages have no internal black dividers) and more reliance on the force-split fallback for oversized scans. Character palettes are more critical for manga because the denser panel layout means more characters appear per page, increasing the chance of color drift.

For manhwa, the experience is typically between the two. Most manhwa has enough black dividers for automatic splitting to work but may need the gray-gutter fallback for pages with mixed divider styles. Translations are common since manhwa is frequently localized for Japanese and English markets.

The key takeaway is that a single colorization tool needs to handle all three formats intelligently, because publishers and scanlation teams often work across formats. A tool that only handles webtoons forces teams to use a different workflow for manga titles, fragmenting their pipeline and increasing training overhead.