Injoys is not a site that merely displays articles. It is a content data publishing service that distributes content as data packages.
We publish only content produced by our editors together with AI under field-specific editorial standards, checked against verified sources. We do not host user submissions.
All content is provided in Korean and English by default, with Japanese and Spanish added, and the content shown to people always matches the data provided to AI and search engines.
Our editors decide the topics and editorial standards, AI produces the draft, translations and images under those standards, and before publishing we check the figures against source material and withhold anything that falls short of our review criteria. The result is published simultaneously as a human-readable page and a machine-friendly file set.
Our goal is to supply trustworthy structured knowledge to the global search and AI ecosystem.
Instead of claiming quality, we publish the steps every article goes through. They apply without exception, and you can see the result on each article page.
You can listen to published articles as AI speech. The audio is pre-generated on the server and plays instantly on most devices, including mobile, free with no login required.
Content is served in two tiers depending on review status. Reviewed tier 1 languages get everything from human-readable pages to audio and embeddings, while machine-translated tier 2 languages are served only as data files and through the API. The reason for the split is simple: we do not publish unreviewed translations as pages for people.
Beyond human-readable pages and machine-readable data files, content is also served as datasets ready for model training, fine-tuning and RAG indexing. There are four kinds - a text corpus, instruction data built from FAQs, a parallel corpus aligning one article across languages, and embedding vectors - and the translation review state is always labeled.
Bulk datasets are served through the paid API, while the unauthenticated data files that serve one article at a time remain free exactly as they are today.
About the dataset API