ranger 669aabf5f2 feat: mode-aware WPM ceiling — Sentence/Paragraph now go up to 3000 WPM (v1.1.1)
The WPM slider's maximum value now adapts to the active reading mode:
- Word mode: 1500 WPM ceiling (human single-word recognition limit)
- Sentence / Paragraph modes: 3000 WPM ceiling

Rationale: in chunk modes, "WPM" controls auto-advance timing across
larger display units. A 20-word sentence at 3000 WPM still gets ~400 ms
of display time — well within visual-recognition comfort and suitable
for skim-pass reading of already-familiar material.

Switching back to Word mode auto-clamps the current value down to 1500
to prevent accidentally-illegible word-mode playback.

The `+` keyboard shortcut now respects the mode-specific ceiling instead
of being hardcoded to 1500.
2026-05-27 02:40:06 +01:00

◈ Ranger Reader

A lightweight RSVP reader for academic papers and long-form text — single HTML file, no install, no subscription, no cloud, runs offline in any browser.

Built to handle the volume of reading required by a research thesis without paying the $120/year for SwiftRead or similar tools. Released here so others can do the same.

What it does

Three reading modes for the same text:

Mode What it does Best for
Word (key 1) Classic RSVP — one word at a time at a chosen WPM, with ORP (Optimal Recognition Point) focal-character colouring Fast skim, the "I'm reading at 4× normal speed" experience
Sentence (key 2) One full sentence at a time, auto-advancing based on word count Comprehension-grade reading of methods and results sections
Paragraph (key 3) One paragraph at a time, longer display Preview / postview stages, skim for quotes

How to use

  1. Open ranger-reader.html in any modern browser (double-click works)
  2. Paste text into the textarea at the bottom, or drag any .txt file onto the page
  3. Press the spacebar or click ▶ Play
  4. Tap 1 / 2 / 3 to switch between Word / Sentence / Paragraph modes
  5. Slide WPM up or down to taste (default 500, range 2001500)

Text, WPM, mode, and reading position all auto-save in your browser — close the tab, reopen tomorrow, resume where you stopped.

Keyboard shortcuts

Key Action
Space Play / pause
/ Skip back / forward (10 in Word mode, 1 in chunk modes)
1 / 2 / 3 Switch to Word / Sentence / Paragraph mode
+ / Adjust WPM by 50
R Reset to start

Converting PDF papers

The reader takes plain text. To convert academic PDFs:

# macOS / Linux — install poppler-utils first (e.g. brew install poppler)
pdftotext input.pdf output.txt

Then drag the .txt file onto the reader page.

What it doesn't do (yet)

  • A built-in file library — paste or drag, one paper at a time
  • Per-paper bookmarks — single position memory
  • Background sound / brown noise — planned for v1.2
  • Browser extension packaging — planned for v2.0
  • Multi-language ORP heuristics — currently tuned for English

Why RSVP works

RSVP (Rapid Serial Visual Presentation) shows words sequentially at a fixed location, eliminating the eye saccades that normal reading requires. For many readers — particularly dyslexic readers — this:

  • Reduces visual-tracking effort
  • Eliminates letter-reversal confusion (words don't sit next to each other)
  • Enforces consistent pacing (no getting lost in a paragraph)
  • Allows comfortable reading at speeds well above normal saccading limits

Brain comprehension is the real ceiling, not eye movement. RSVP lets you read closer to that ceiling.

Caveats

For academic citation work, use Sentence or Word mode in combination with the source PDF — RSVP is excellent for prose but cannot render tables, figures, or equations. The published recommended workflow:

  1. First pass via Sprint / RSVP at high WPM to get the paper's shape
  2. Second pass in the source PDF for the Methods, Results, tables and figures
  3. Capture exact quotes with page numbers from the PDF, not the RSVP stream

The abstract is an advert — don't cite it. Read the Introduction, Methods, Results, and Discussion. The meat is in the middle.

License

GPL v2 or later. See LICENSE.

Acknowledgements

Built as a study tool during an MSc thesis on accessibility-focused authentication research. Released as free software because reading subscriptions are a tax on poor researchers and accessibility tools should not be paywalled.

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2026-05-27 01:50:01 +00:00
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