Version: v4.0.1

Stack

Framework

Docker (linux/amd64 and linux/arm64)
Shared entrypoint that runs DB migrations by default and can bootstrap embedded SeaweedFS before app startup

UI: Tailwind CSS, Headless UI, @tailwindcss/typography
Interactions: react-dnd, react-dropzone
Server state: TanStack Query (React Query v5)
Authentication: Better Auth client SDK
Local storage/cache: Dexie.js (IndexedDB)
Audio playback: Howler.js
Notifications: react-hot-toast
Document rendering:
- PDF: react-pdf, pdf.js
- EPUB: react-reader, epubjs
- Markdown/Text: react-markdown, remark-gfm
Text preprocessing/matching: compromise, cmpstr
Analytics: Vercel Analytics

APIs: Route Handlers for sync, blob/content access, migrations, audiobook export, TTS/Whisper proxying
State sync: request-based today (not realtime push updates)
Authentication: Better Auth server handlers/adapters with anonymous session support
Metadata DB: Drizzle ORM with SQLite (better-sqlite3) by default and optional Postgres (pg)
- App tables are manually maintained in Drizzle schema files
- Auth tables are auto-generated by the Better Auth CLI and migrated alongside app tables via Drizzle
Blob storage: embedded SeaweedFS (weed mini) by default, or external S3-compatible storage via AWS SDK v3
TTS providers: OpenAI-compatible API (openai SDK), Replicate (replicate client), DeepInfra, and custom OpenAI-compatible endpoints — credentials are encrypted at rest
Audio pipeline: ffmpeg (ffmpeg-static) for audiobook assembly, archiver for export packaging
Utilities: lru-cache for in-process caching, fast-xml-parser for EPUB/XML parsing, uuid for identifier generation, zod for schema validation

Monorepo packages under compute/:

@openreader/compute-core — ONNX runtime lifecycle, model management, and inference logic shared by compute worker runtime + app/worker contracts
- ONNX runtime: onnxruntime-node with @huggingface/tokenizers
- Whisper alignment: onnx-community/whisper-base_timestamped (q4) for word-level timestamps
- PDF layout: Bei0001/PP-DocLayoutV3-ONNX for document block detection and layout parsing
- PDF rendering: pdfjs-dist, @napi-rs/canvas for server-side page rasterization
- Utilities: jszip, ffmpeg-static
@openreader/compute-worker — standalone Node.js worker service
- HTTP server: Fastify v5
- Job queue + state: NATS JetStream WorkQueue pull consumers + NATS KV (jobs.whisper, jobs.layout)
- Storage: AWS SDK v3 S3 client for reading/writing blobs
- Logging: Pino
- Validation: Zod
Heavy compute is worker-backed via COMPUTE_WORKER_URL + COMPUTE_WORKER_TOKEN (remote queue via HTTP + NATS)