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⚡ RSVP Speed Reader

Rapid Serial Visual Presentation — A browser-based speed reading tool that uses the Optimal Recognition Point (ORP) algorithm to train your eyes to read faster with better comprehension.

Live Demo License: MIT Vanilla JS No Dependencies


📸 Preview

┌─────────────────────────────────────────────────────────┐
│  ⚡ RSVP           Rapid Serial Visual Presentation      │
├─────────────────────────────────────────────────────────┤
│                                                          │
│              [ Drop PDF / DOCX / TXT here ]             │
│                                                          │
│  ┌──────────────────────────────────────────────────┐   │
│  │  ● Playing                          142 / 3,847  │   │
│  │                                                  │   │
│  │         con  CEPT  ual                           │   │
│  │              ↑ focal point                       │   │
│  │                                                  │   │
│  │  ...reading quickly through  [CONCEPT]  allows   │   │
│  └──────────────────────────────────────────────────┘   │
│                                                          │
│  Speed  ━━━━━━●━━━━━  300 WPM    [▶ Play] [⏸ Pause]    │
└─────────────────────────────────────────────────────────┘

🚀 Quick Start

Zero installation required. Download and open in your browser:

# Option 1: Clone the repo
git clone https://github.com/LSaiko/rsvp-speed-reader.git
cd rsvp-speed-reader
open speed-reader.html   # macOS
start speed-reader.html  # Windows
xdg-open speed-reader.html  # Linux

# Option 2: Direct download
# Click "speed-reader.html" above → Download Raw

Or use the Live Demo →


✨ Features

Feature Description
📄 Multi-format file support PDF, DOCX, DOC, TXT, Markdown
🎯 ORP focal letter Highlights the Optimal Recognition Point per word
⏱️ Adjustable WPM 60–1,000 words per minute with live slider
⏸️ Smart punctuation pauses Auto-slows on .!?;:, for natural rhythm
📍 Context strip Shows surrounding words for spatial awareness
⌨️ Full keyboard control Space, arrows, no mouse required
📊 Reading stats Word count, estimated time, live progress
🌐 Offline-capable Works with no internet after first load

🎮 Keyboard Shortcuts

Key Action
Space Play / Pause
Step backward / forward one word
Increase / decrease speed by 50 WPM

🧠 How It Works — The ORP Algorithm

The Optimal Recognition Point is a research-backed concept: each word has one letter that, when fixated upon, allows the brain to decode the entire word most efficiently.

Word length  →  Focal letter position (0-indexed)
─────────────────────────────────────────────────
1–2 chars    →  position 0   (e.g., "at"  → "at")
3–5 chars    →  position 1   (e.g., "read" → "rEad")
6–9 chars    →  position 2   (e.g., "faster" → "fAster")
10–13 chars  →  position 3   (e.g., "understand" → "unDerstand")
14+ chars    →  position 4   (e.g., "implementation" → "implEmentation")

Combined with RSVP (words displayed one at a time, center-screen), this eliminates saccadic eye movement — the back-and-forth scanning that consumes ~30% of normal reading time.


📁 File Structure

rsvp-speed-reader/
├── speed-reader.html     # ← The entire application (single file)
├── README.md             # This documentation
├── LICENSE               # MIT License
├── ARCHITECTURE.md       # Deep-dive technical documentation
└── .github/
    └── workflows/
        └── deploy.yml    # GitHub Pages auto-deploy

🏗️ Architecture Overview

The app is intentionally a single HTML file — a deliberate engineering choice for maximum portability. Here's the high-level structure:

speed-reader.html
├── <head>          Google Fonts (DM Mono, Bebas Neue, DM Sans)
├── <style>         ~350 lines of CSS with custom properties
├── <body>          Semantic HTML layout
└── <script>        ~280 lines of vanilla JS
    ├── State         words[], idx, playing, timer, wpm
    ├── ORP Engine    getFocalIndex(word) → position
    ├── Renderer      renderWord() → DOM manipulation
    ├── Scheduler     showWord() → recursive setTimeout loop
    ├── File Parser   PDF.js + Mammoth.js (CDN loaded)
    └── Event Layer   keyboard, slider, buttons, drag-drop

See ARCHITECTURE.md for full annotated code walkthrough.


🔌 External Libraries (CDN only)

Library Purpose Size Why CDN?
PDF.js Parse PDF files client-side ~400KB Large; only loaded when needed
Mammoth.js Parse DOCX files client-side ~180KB Large; only loaded when needed

Both are loaded via cdnjs.cloudflare.com. The app is fully functional offline for TXT/MD files even if CDN is unreachable.


🛠️ Skills Demonstrated

This project showcases the following engineering competencies:

Algorithms & Data Structures

  • ORP positional algorithm with variable-length word mapping
  • Recursive setTimeout scheduler with dynamic interval recalculation
  • Real-time WPM adjustment without restarting playback

Browser APIs

  • FileReader / ArrayBuffer for binary file handling
  • requestAnimationFrame for smooth focal guide positioning
  • DragEvent API for native drag-and-drop
  • KeyboardEvent handler with input-context awareness

UI/UX Engineering

  • CSS custom properties for full theme consistency
  • CSS @keyframes flash animation with reflow trick (offsetWidth)
  • Responsive font scaling with clamp()
  • Accessible keyboard-first navigation

Software Design

  • Zero build-step, zero runtime dependencies architecture
  • Clean separation: state → render → schedule → events
  • Graceful degradation (offline TXT mode if CDN fails)

📈 Performance

  • Parse speed: ~50,000 words/second (tokenization)
  • DOM updates: Single innerHTML write per word
  • Memory: O(n) word array, no duplication
  • Startup: < 200ms to interactive (no bundler, no hydration)

🗺️ Roadmap

  • Highlight multi-word phrases at lower speeds
  • Persistent progress (localStorage bookmarks)
  • Font size and theme customization panel
  • Sentence mode (display full sentence, highlight current word)
  • Browser extension version

📄 License

MIT — free for personal and commercial use. See LICENSE.


🤝 Contributing

Issues and PRs welcome. Please read CONTRIBUTING.md if you'd like to improve the ORP algorithm or add a new file format parser.


Built with zero dependencies, maximum intentionality.

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