KOMA Studio FAQ

The KOMA Studio FAQ for Teams Vetting an Open-Source Scanlation Workflow

From licensing and platform fit to privacy, chapter batching and AI translation, this FAQ answers the questions teams ask when the workflow actually matters.

Use this FAQ when you're already evaluating KOMA and want direct answers about platforms, privacy, batch work, offline expectations, and how the workflow compares with general tools.

In Short

What does the KOMA Studio FAQ cover?

The FAQ covers the practical questions teams ask before adopting it: licensing, open source, platform fit, privacy, workflow reliability, batch production, and how KOMA differs from general tools.

  • Covers product fit and rollout questions
  • Addresses privacy and workflow reliability
  • Handles common comparison objections

Product fit and team setup

Most teams need to understand whether KOMA is right for solo use, team use, desktop environments, and chapter-scale production — and what the MIT license means for them. These are the questions that usually decide fit first.

Reliability, privacy, and production workflow

Privacy, offline behavior, batch processing, and QA all shape whether the product can be trusted for recurring releases, not just quick experiments.

Alternatives and common buying questions

FAQ content also supports alternative-intent traffic by explaining how KOMA differs from general editors, narrow translation tools, and stitched-together multi-app workflows — and why the open-source license changes the long-term risk calculation.

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
Downloads

Stable Download Links