T-Reader

Project Overview

T-Reader is a lightweight reader project for Windows desktop. Centered on light novel reading experience, it provides bookshelf management, standalone reading window, bookmarks and notes, AI Q&A and book knowledge base, WebDAV cloud sync, and auto-update capabilities.

Key Features

• Supports EPUB / TXT import, bookshelf display, and reading
• Bookshelf supports list/grid dual view with sorting by title, author, reading time, and date added; shows cover, format, recent reading, and progress
• Standalone reader window supports table of contents, page turning, scrolling, shortcuts, and immersive reading
• Supports EPUB bookmarks, personal notes via artistic underlines, unified note management and navigation
• Clean and simple reading interface; book fonts can use Windows built-in system fonts
• Reading styles adjustable: font size, weight, line spacing, paragraph spacing, margins, columns, page-turn mode
• Built-in AI Q&A based on the current book's text with persistent sessions
• Book knowledge base supports importing multiple EPUBs by series, building vector indexes for series Q&A with source citations
• WebDAV cloud sync with customizable server address and request timeout, adapted for Legado
• Network proxy with independent switch, uniformly applied to updates, WebDAV, AI Q&A, and knowledge base requests
• In-app update check and download with stable/beta channel selection
• Built-in AI model configuration (chat, image generation, embedding, reranking models)
• Gallery: combines book images and original text for secondary creation using image generation models
• Local data (books, notes, settings) persisted in SQLite

Target Audience

• Windows users
• Users who need an ePub reader
• Users who need AI Q&A and book knowledge base features
• Users who need WebDAV cloud sync of reading data

Quick Start

1. Download the latest version from the Releases page
2. Install and launch the app
3. Import EPUB or TXT books
4. Configure WebDAV and AI models (optional)

Core Advantages

• Centered on light novel reading experience with a clean interface
• Supports AI Q&A and book knowledge base
• WebDAV cloud sync, adapted for Legado
• Local data persisted in SQLite

System Requirements

• OS: Windows
• Tech stack: Vue 3 + TypeScript + Vite 6, Tauri 2, Rust, SQLite (sqlx), Pinia, Element Plus