KOMA Studio App Preview

KOMA Studio App Preview for Workflow Evaluation

See how the KOMA Studio interface is designed to move a chapter from raw import to release-ready review without rebuilding the process in outside tools.

Use the app preview to judge whether KOMA feels like a real desktop workspace before you download it. The focus here is the interface and how the workflow is laid out.

In Short

What should the KOMA app preview prove?

The preview should prove that KOMA behaves like a real desktop workspace, with translation, cleanup, lettering, redraw, and QA connected in one operational layout.

  • The interface shows real workflow stages
  • Page and chapter context stay visible
  • Review happens in the same workspace

What the app preview shows

The preview should answer whether KOMA behaves like a real desktop workspace for scanlation teams, not just whether a screenshot looks polished. The goal is to show how the product is organized for actual chapter work.

How the preview maps to the actual workflow

Each major capability shown on the site reflects a production stage teams already care about: translation, cleanup, redraw, lettering, chapter organization, and QA. The app preview page ties those stages together into one narrative.

  • Preview translation and cleanup in context
  • Show how lettering and redraw decisions stay linked
  • Reinforce that QA happens inside the same workspace

What to check before you download

Check whether translation, cleanup, lettering, redraw, and QA feel connected, whether chapter batches are easy to follow, and whether the interface matches how your team already works.

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