Mayari icon

Mayari

Local-first PDF reader with neural text-to-speech powered by Kokoro TTS

Free Text to Speech Open Source

Overview

Mayari is a local-first PDF reader for macOS that combines document reading with high-quality neural text-to-speech. Powered by KokoroSwift running on Apple's MLX framework, Mayari generates natural-sounding audio entirely on-device with zero external servers. Read PDFs, DOCX, and EPUB files while listening with eight British voices at adjustable speeds from 0.5x to 2.0x. Features include quote capture with page citations, highlight mode, background audiobook generation with a persistent queue-based job system, markdown export, and a built-in text editor with TTS support. The clean, distraction-free interface follows Apple's Human Interface Guidelines with dark mode support, a resizable 60/40 split layout, and smooth PDF navigation with zoom controls.

Pricing: Free

Minimum macOS: 15.0 (Sequoia)

Architecture: Apple Silicon

Key Features

  • Neural text-to-speech powered by KokoroSwift running locally on Apple MLX
  • Eight British voices (Emma, Isabella, Alice, Lily, George, Fable, Lewis, Daniel) with adjustable speed from 0.5x to 2.0x
  • Supports PDF, DOCX, and EPUB document formats
  • Quote capture with page citations using Cmd+D and highlight mode via Cmd+H
  • Background audiobook generation with persistent queue-based job system
  • Markdown export for saved quotes with citations
  • Built-in text editor and markdown document viewer with TTS support
  • Resizable 60/40 split layout with distraction-free dark mode interface
  • Drag-and-drop PDF loading with smooth page navigation and zoom controls
  • Completely local and private — no cloud, no accounts, no internet required

Tags

voice synthesis