A self-hosted app for reading English-language articles with partial AI-assisted translation tuned to your CEFR proficiency level. Add an article URL, let the backend extract and enrich it via an OpenAI-compatible LLM, then read offline on any device — tap words and phrases to get in-context translations without a network connection.
Word translation example:
Sentence translation example:
- CEFR-tuned enrichment — an LLM translates only the words/phrases likely to be unfamiliar at your level, leaving the rest of the text untouched.
- Translation levels — words, phrases, sentences.
- Offline-first reading — articles are cached locally (PWA + IndexedDB); the reader renders from cache instantly and syncs in the background.
- Single-user, self-hosted — one built-in account, created on first launch; no external auth provider required.
- iOS/Android apps — the same SvelteKit frontend packaged with CapacitorJS for native offline reading on your own devices.
cp .env.example .env # set LLM_API_KEY, LLM_API_BASE_URL, at minimum
docker compose up -dOpen the app and follow the redirect to /setup to create your account (username + password). The service binds to 127.0.0.1:8080; put a reverse proxy in front for HTTPS — see docs/nginx.md.
- DEV.md — local development, production builds, configuration, testing.
- docs/MOBILE.md — building and deploying the iOS/Android apps.
- docs/nginx.md — reverse proxy and caching configuration.
MIT — see LICENSE.