No blank word state
The browser reader resolves every token to a visible icon route. Common words use curated matches; uncommon words receive a concrete object anchor instead of an abstract placeholder.
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One word. One icon.
W.N. Reader
Paste any English text and read it through a fixed focal point. W.N. Reader keeps the word steady, highlights the pivot letter, and attaches a concrete icon to every token so meaning lands faster without moving your eyes around the page. It is designed to help readers with dyslexia by reducing eye travel and adding bold visual anchors.
Icon routeEvery word resolves to a real object, grammar anchor, or AI atlas object.
Reading mode100 to 2000 words per minute with punctuation-aware dwell.
Dyslexia supportBold icons, one-word focus, and pivot letters help reduce visual strain.
W.N. Reader
Load W.N. Plus, Gutenberg, site pages, pasted text, PDFs, EPUBs, or plain text files into the same focal reader.
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Reading scope
All text
The icon layer uses curated meaning matches first, then word stems, then a deterministic real-object AI atlas route for rare terms.
GPT-generated product art
Icon generation queue
This visual shows the intended rare-word workflow: candidate object icons, receipts, QA, alt text, and export controls before a generated pack enters the reader.
Generated image atlas path
The page includes GPT-generated W.N. Reader queue art and a reproducible prompt record. Shipping a separate bitmap for every English word should be treated as a corpus build, not a single static-page asset.
Review provenanceFast, local, inspectable
The tool runs in the browser: paste text, adjust speed, pause, step, and inspect individual words without a sign-in wall.
W.N. Reader benefits
Reading differently, with a steadier visual rhythm.
W.N. Reader promotes RSVP reading, visual priming, and future audio support under the W.N. Reader name. The goal is practical: make text feel easier to track, easier to recognize, and faster to move through.
One word at a time.
Words appear in one fixed place with a highlighted pivot letter, cutting down the back-and-forth scanning that can make long passages tiring.
Concrete icons for meaning.
Each token gets a bold real-world icon route, giving readers a visual cue before the word has to be processed as text alone.
Built to support dyslexic readers.
W.N. Reader is designed to help readers with dyslexia and other learning differences by reducing eye travel, steadying attention, and pairing words with visual anchors.
Built for faster reading practice.
The live reader supports 100 to 2000 WPM today, with selected-section reading so users can practice on a short passage before running a full text.
Books, uploads, sites, and text.
Use pasted text now, then bring the same focal reader to W.N. Plus books, Gutenberg texts, PDFs, EPUBs, and site pages.
Visual, language, and sound together.
A future text-to-speech layer can read alongside the word stream, adding sound support to the icon and pivot-letter system.
W.N. Reader is a reading aid, not a medical treatment or guaranteed dyslexia intervention.
Generated icon queue
Rare words should become inspected candidates, not invisible fallbacks.
The Reader can stay fast today with code-native icons while the generated-icon path matures. Each generated pack needs a word list, prompt intent, seed receipt, alt text, fallback object, and review state before it is exported into the local reader.
Name the word set.
Queue rare nouns, domain terms, or classroom lists. Each entry keeps part of speech, fallback object, and why a generated icon would improve recognition.
Create candidates with receipts.
Generated batches store prompt intent, seed or provider receipt, alt-text draft, and the local export target. No completed-corpus claim is attached.
Check recognition before export.
Candidate icons are held until they pass object match, silhouette clarity, age fit, no-label, and cultural-sensitivity checks.
Export only reviewed packs.
The live reader should prefer curated icons first, generated candidates second, and deterministic object fallbacks whenever a receipt is missing.
W.N. Reader icon system
Every English word gets a real-world visual route.
The icon layer is deliberately concrete. It avoids empty initial-letter placeholders by mapping function words to physical anchors, common concepts to line icons, and rare words to an AI atlas object that can later become a generated per-word icon.
Curated meaning
High-frequency words like read, time, love, money, travel, and science get direct semantic icons.
Stems
Plurals, -ing, -ed, -ly, and comparative endings route back to the closest base word before fallback.
Grammar anchors
Words such as the, and, in, before, because, and with use physical anchors like tags, chains, boxes, arrows, bridges, and hands.
AI atlas
Rare words deterministically receive a concrete object anchor and can be promoted into a generated ChatGPT image icon pack.