vust

Token & Word Counter

Count LLM Tokens, Words, and Characters

Paste any text — see word count, characters, sentences, paragraphs, an approximate LLM token count for AI prompts, and reading time update as you type. Nothing leaves your browser.

Instant. Free. Unlimited.Local processing — nothing sent to server
0Words
0Characters
0No spaces
0Sentences
0Paragraphs
0~Tokens
0sReading time
0sSpeaking time
8 metrics at once~Token estimate for promptsReading time · unlimited length
Specimens

See the difference

Paste your text, read the stats. Works for essays, blog posts, social captions — anything with a word limit.

Blog Draft

Your text

Remote work reshaped how teams collaborate. Tools like Slack and Notion replaced hallway conversations, but async communication brought its own challenges — timezone gaps, context loss, and meeting fatigue.

Stats

32 words · 226 characters · 2 sentences · 1 paragraph · ~57 tokens · ~10s reading time

Academic Abstract

Your text

This study examines the correlation between sleep duration and academic performance among undergraduate students. Data was collected from 340 participants over two semesters. Results indicate that students averaging fewer than six hours of sleep scored 12% lower on cumulative assessments.

Stats

44 words · 298 characters · 3 sentences · 1 paragraph · ~75 tokens · ~13s reading time

Social Caption

Your text

Just shipped the redesign. Three months of iteration, two complete pivots, and one very long Friday night. The before/after still surprises me.

Stats

24 words · 144 characters · 3 sentences · 1 paragraph · ~36 tokens · ~7s reading time
Practical use cases

Who uses this word counter and what they get.

Student
Track an essay against a 1,500-word limit
Live word count, character count (with and without spaces), sentences, and paragraphs update as you type — no upload step.
Social writer
Fit a caption under a platform limit
See characters with spaces and without in one place, plus sentence count, so you know how much you can still cut.
Speaker
Estimate rehearsal time for a talk
Reading time (~200 WPM) and speaking time (~130 WPM) estimates help you plan slides and script length before rehearsal.
How it works01–03

How this online word counter works.

  1. 01

    Paste

    Type or paste into the counter at the top of the page. Counts update on every keystroke — there is no submit button and no server round-trip.

  2. 02

    Read stats

    Words, characters, characters without spaces, sentences, paragraphs, an approximate LLM token count for AI prompts, estimated reading time, and speaking time stay visible while you edit.

  3. 03

    Edit

    Trim or expand until you hit your target. When you need grammar or rephrasing, open Grammar Checker or Rephrase on VUST — this page does not send your text anywhere.

Quality & trust

What to expect from this tool.

Local only

All counting runs in your browser. Your draft is not uploaded, stored, or logged as content — standard page analytics may still record visits.

Definitions

Words split on whitespace. Reading time assumes ~200 words per minute; speaking time assumes ~130 WPM. Page estimate uses a typical double-spaced manuscript layout.

No dedicated bot

There is no Word Counter Telegram bot. Use this page for counts; use @vustGrammarBot or other VUST bots when you need AI editing on the same Balance.

FAQ

Frequently asked questions

How does it count words?

Words are split by whitespace — spaces, tabs, and line breaks. Hyphenated compounds like 'well-known' count as one word. Numbers and standalone punctuation are not counted as separate words.

Does it count special characters and emojis?

Yes. Every character counts toward the character total, including spaces, punctuation, and emojis. The 'no spaces' counter excludes whitespace only.

How is reading time calculated?

Reading time uses about 200 words per minute (common for articles). Speaking time uses about 130 WPM, closer to live presentation pace. Both update live as you edit.

How is the token count estimated?

The '~Tokens' figure is an estimate using the widely-cited rule of about 4 characters per token. It's labelled with a tilde because the exact count depends on each model's tokenizer — GPT, Claude and Gemini all tokenize slightly differently, and non-English or code-heavy text shifts the ratio. Use it to gauge whether a prompt fits a context window, not as an exact billing figure.

How many tokens is 1,000 words?

Roughly 1,300–1,500 tokens for ordinary English prose, using the same ~4-characters-per-token rule this counter applies: 1,000 words is about 5,500–6,000 characters including spaces. Code, non-English text and heavy punctuation push the ratio higher. Paste your actual text above for the live estimate instead of the rule of thumb.

How many words fit in a 128k or 200k context window?

By the same approximation, a 128,000-token context holds very roughly 90,000–96,000 English words, and a 200,000-token window about 140,000–150,000 — a full-length novel. Real capacity is lower in practice: the system prompt, conversation history and the model's reply all share the same window.

Is there a Word Counter Telegram bot?

No. Counting happens only in this browser tool. For grammar or rephrasing afterward, use Grammar Checker on VUST or @vustGrammarBot — not a dedicated counter bot.

Is my text stored anywhere?

No. Your text is processed entirely in your browser and never sent to any server. There are no API calls and no server-side storage of your text. Standard site analytics (page views, performance) may apply, but they do not access your text content.

Is there a character or word limit?

No limit. The counter handles any text length — from a tweet to a dissertation chapter. Performance stays instant because all processing is local.

Ready when you are

Count words, characters, and time — without sending text anywhere.

The counter is at the top — unlimited, no signup. For grammar or tone edits afterward, try Grammar Checker on this site or GrammarBot in Telegram.