AI Manga Translator

An AI Manga Translator That Does Not Stop at the First Draft

KOMA Studio is for teams comparing AI manga translator capabilities like OCR, layout awareness, vertical text handling, and what happens after the first translated draft.

A fast AI draft is useful, but scanlation teams still need the page to survive lettering, cleanup, redraw, and QA. KOMA is built for teams that want translation speed without losing the rest of the production workflow.

In Short

What should an AI manga translator handle beyond text output?

A serious AI manga translator needs OCR, page awareness, and a clean path into cleanup, lettering, redraw, and review. Otherwise the team still rebuilds the workflow elsewhere.

  • OCR and layout awareness matter
  • The translated draft is not the finish line
  • Workflow continuity decides team efficiency

What to evaluate in an AI manga translator

The real question is not whether AI can draft the translation. The question is whether the translator handles OCR quality, vertical text, panel layout, and the page cleanup that often follows.

How KOMA compares on OCR and page context

KOMA keeps the AI translation pass connected to the page itself instead of treating it like detached text. That matters when OCR quality, layout awareness, and downstream cleanup affect whether the result is actually usable.

  • AI translation stays connected to the page
  • OCR and layout decisions remain visible in context
  • The next production stages are already in the same workspace

When KOMA is the stronger choice after the AI draft

If the AI draft is only the beginning, KOMA is the stronger fit. It keeps translation tied to the page while cleanup, lettering, redraw, and review move forward in the same workspace.

Open source, MIT licensed, free forever

KOMA Studio is developed in the open under the MIT license. It runs on your own machine, keeps projects on your disk, and never gates a feature behind a paid tier. You bring the AI model — hosted or local — and everything else is yours to inspect, modify, and redistribute.

  • MIT license — commercial use, forks and redistribution allowed
  • Self-hosted desktop app with no account and no usage telemetry
  • Bring your own API key, or run a local model offline
  • Issues, milestones, and the roadmap are public