Build your Word Counter with AI in under 5 minutes

Build a browser-side word, character, sentence, paragraph, reading-time, and readability analyser — with stop-word-filtered keyword frequency and one-click export, in a typewriter-manuscript visual style nobody else ships.

Cómo funciona

Paso 1

Describe tu idea

Escribe un prompt describiendo lo que quieres.

Paso 2

La IA lo construye

FloopFloop genera código listo para producción al instante.

Paso 3

Despliega y publica

Tu proyecto se aloja en su propio subdominio en minutos.

¿Por qué construir con IA en lugar de contratar un desarrollador?

	FloopFloop	Desarrollador tradicional
Tiempo de lanzamiento	Menos de 5 minutos	2-8 semanas
Costo	Desde $0	$5.000 - $50.000+
Mantenimiento	Incluido	Contrato continuo

What is a word counter?

Word counters are one of the most-searched developer-utility categories on the web — somewhere north of a million queries per month across the English-speaking internet, plus another 2-3 million for the related 'character counter', 'reading time', and 'readability score' phrases. The category is dominated by a handful of ad-supported hosted sites (wordcounter.net, charactercountonline.com, word-count.com, online-utility.org) that all work the same way: paste your text into a box, get the counts. None of them ship a memorable visual identity; none of them save your draft past the page session; most surround the input area with banner and interstitial ads that make the page heavier than the analysis it performs. The actual logic is tiny — a Unicode-aware word regex, a sentence splitter that handles 'Dr.' and 'e.g.' correctly, a syllable heuristic for Flesch, a stop-word filter for the keyword breakdown. Owning the page yourself means you can drop the ads, save the draft to localStorage, swap the typewriter-manuscript styling for whatever fits your brand, and extend the analyser with goal tracking, Markdown preview, or multi-document tabs by asking the AI for one more prompt.

Common features

Unicode-aware word count (\p{L} + \p{N} regex — works on every script)
Character counts both with and without whitespace
Sentence splitter with abbreviation guards (Dr., e.g., i.e., U.S., etc.)
Paragraph count via blank-line separation
Reading time @ 238 WPM (Brysbaert 2019 meta-analysis)
Speaking time @ 130 WPM (public-speaking guideline)
Flesch Reading Ease (0–100) with human-readable label
Flesch-Kincaid Grade Level (US-school grade)
Top-8 keyword frequency with 100+ stop-words filtered out
Draft auto-save to browser localStorage (no server round-trip)
Copy to clipboard, download .txt, and clear-draft actions

Real-world examples

Blogger checking post length

Writer pastes the draft, sees the count hit 1,400 — past the 1,200 target. Glances at the Flesch score, sees 'Difficult (college)', decides to cut the two longest sentences in half. The keyword list shows 'algorithm' appearing 11 times and 'machine learning' 7 — flags as keyword-stuffing, varies the next mentions, ships a cleaner post.

Student hitting an essay word limit

1,500-word assignment due tomorrow. Student pastes the draft, sees 1,612 in the count, needs to trim 112. Drops the introduction's third paragraph (visible word count: 1,481), checks the readability is still in the right band for the assignment level, exports the trimmed version as .txt, and pastes back into Google Docs.

Conference speaker timing a talk

8-minute slot at the conference, speaker drafts the script, watches the speaking-time stat climb to 7:42 — under budget by 18 seconds. Sees the longest sentence is 47 words long; breaks it into three so they don't tangle themselves on stage. Re-checks: 7:38, still safe, locks in the deck.

Why FloopFloop fits word counter projects

The reason wordcounter.net and friends survive is that the underlying analysis is small enough that 'wrap a textarea in a website' is a viable business model — ads and minimal effort, nothing else. The unique thing FloopFloop ships on top of that is the *aesthetic*: a typewriter-manuscript page with a faded 'DRAFT' watermark in the margin, a red pencil-correction underline beneath each section heading, a monospace serif body face (Special Elite), and cream-paper texture that reads as 'writer's desk' rather than 'ad-supported web utility'. Five colour variants (classic typewriter, royal-blue ribbon, sepia archive, carbon-copy greyscale, midnight-typewriter dark) cover the obvious use cases — and because the entire analyser is client-side, the visual is the only dimension where the tool can really differentiate. Exactly the dimension where AI-generated styling wins against every hosted competitor.

Prueba estos prompts

Copia cualquier prompt y pégalo en FloopFloop para empezar.

Build a word counter / text analyser. Single page with a big text area on the left, a sidebar of stats on the right: words, characters, characters-no-spaces, sentences, paragraphs, average words per sentence, reading time (238 WPM), speaking time (130 WPM), Flesch Reading Ease, Flesch-Kincaid grade level. Below the stats, a keyword-frequency bar list (top 8 words with stop-words filtered out). Copy, Download .txt, and Clear buttons. Draft auto-saves to localStorage. Visual: typewriter manuscript — cream paper canvas with a red margin rule, monospace serif (Special Elite), 'DRAFT' watermark in the editor margin, pencil-correction underline on section headings. No light/dark toggle — the look IS paper.

Create a writing-stats tool for blog drafts. Counts, reading time, and a Flesch Reading Ease readout with an inline label ('Plain English — 8-9th grade'). Word goal slider at the top so a 1000-word target shows a progress bar that fills as the writer types. Export the draft as Markdown or plain text. Distraction-free single-screen layout — no menus, no header, just the page.

Build a tool to analyse speech transcripts. Same word + sentence counts but the headline stat is speaking-time-in-minutes (130 WPM). Also surface 'longest sentence' and 'longest word' as separate readouts so a speaker can find the spots most likely to trip them on stage. Annotated paragraphs side-by-side with a green / amber / red dot per paragraph based on per-paragraph reading ease.

Build a word counter with five visual variants: classic typewriter (black ink on cream), royal-blue ribbon, sepia archive, carbon-copy greyscale + mint pencil, and a rare midnight-typewriter dark mode. Same monospace face + paper texture + 'DRAFT' margin watermark across all of them — only the paper tone and ink colour swap so the cohort reads as one identifiable thing.

Preguntas frecuentes

How is this different from wordcounter.net or charactercountonline?

Hosted word counters work, but they're surrounded by ads, log every paste you make, and gate the more useful features (keyword density, readability) behind a sign-in. The version FloopFloop generates is yours — the draft never leaves your browser (it's saved to localStorage only), the visual is the kind of typewriter-manuscript styling no SaaS competitor ships, and you can extend it with whatever the hosted tools won't add (Markdown preview, word-goal progress bar, multiple saved drafts) by asking the AI for one more prompt.

What does the Flesch Reading Ease score actually mean?

Flesch Reading Ease maps your text to a 0–100 scale where higher = easier. 90+ is 5th-grade material (Reader's Digest), 60-70 is plain English (most newspapers), 30-50 is academic / business prose, and below 30 is the kind of dense academic writing that needs careful re-reading. The companion Flesch-Kincaid Grade Level translates the same data into a US-school grade (e.g. 8.3 = '8th-grade reading level'). The formulas use words-per-sentence + syllables-per-word, so cutting long sentences in half or replacing 'utilise' with 'use' shifts the score immediately.

Does the keyword list count every word?

No — it filters out 100+ English stop-words (the, and, of, in, to, etc.) plus any 1- or 2-letter token. Otherwise the top entries would be the same closed-class function words on every text and tell you nothing. What you see is the actual subject matter of the document, ranked by frequency. The list shows the top 8 by default; that's enough to spot a keyword you're over-using without becoming so long it stops being scannable.

Why is reading time set to 238 words per minute?

It matches the most-cited modern reading-speed meta-analysis (Brysbaert, 2019), which averaged silent-reading rates across 190 studies for English-language adults. The classic '250 WPM' figure most calculators use is unsourced and a bit optimistic — 238 is the conservative, evidence-backed number. Speaking time uses 130 WPM, the standard public-speaking guideline (Toastmasters et al.). Both numbers can be swapped in the source if you measure your own users at a different rate.

What languages does the counter support?

Word and sentence boundaries use Unicode property escapes (\p{L}, \p{N} for letters and numbers, in any script), so the counts are correct on English, French, German, Spanish, Italian, Portuguese, Dutch, Polish, Turkish, Russian, Arabic, Hebrew, Japanese, Korean, Chinese, and the rest of the Unicode block. Flesch readability is English-specific by design (the formula was calibrated on English-syllable patterns) so it returns sensible numbers only for English text. The stop-word filter is English; adding a German or French stop-word set is a one-prompt extension.

Is my draft saved anywhere I can't see?

No. The draft is auto-saved to your browser's localStorage on every keystroke — same browser-only storage that everything from this template uses. There's no server-side persistence, no analytics on the text content, no third-party script. Clearing your browser data wipes the draft. If you want the draft to follow you across devices, the operator can extend the template with the platform's per-project secrets store + a sync API; out of the box it's local-only by design.

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