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Documentation & Guides

Welcome to Torto Reader — a local-first, native cross-platform ebook reader built around Focus Mode for Windows, macOS, and Android.

Torto is dedicated to reimagining the PC reading experience: focusing on one meaningful reading unit at a time, Typst-inspired publication typography, keyboard-first navigation, and zero distractions. Desktop and Android share the same format-agnostic reading model and sync directly through your private cloud.


  • Focus Mode: read one semantic unit at a time with a steady reading anchor; navigation, highlights, notes, footnotes and AI chat always follow the active content.
  • Native rendering: the desktop app parses, typesets, paginates and renders in Rust without a browser; the Android app uses a pure-Dart reading core.
  • AI-assisted layout (optional): recognizes section headings, sourced quotations and figure or table captions, folds inline citations into markers, and recognizes text and image formulas with LaTeX copying.
  • Context-bound AI chat (optional): conversations attach to the active unit; type / for reading skills and @ to add citations, with answers citing the source text.
  • Reading statistics: automatically tracks reading time, history and completion, with cross-device cloud sync.
  • Formats & scanned PDF: EPUB, MOBI, AZW/AZW3, FB2/FBZ, CBZ, CHM and PDF; scanned PDFs can be OCR’d into reflowable text.

  • Focus Mode Guide: paragraph navigation, centered baseline anchor, sentence splitting (3), folded footnotes (Left Alt), and hidden cursor immersion.
  • OCR Providers Guide: enable full-document OCR and reflow for scanned PDFs with PaddleOCR or MinerU.
  • Cloud Storage Providers Guide: sync books, progress, highlights, notes and reading statistics directly between devices using private WebDAV (with presets for InfiniCLOUD, Nutstore, and more).

Visit the Download Page to get the latest 64-bit Windows MSI, macOS Apple Silicon / Intel DMG, or Android APK.

Desktop source and releases are hosted on Torto GitHub, and the Android app is hosted on Torto App GitHub.


If you encounter issues or have suggestions, please open an issue on GitHub Issues.