Word Cloud Generator — Visualize word frequency as a cloud

1. What does this tool do

This free online word cloud builder shows which words appear most often—paste text, click Generate Word Cloud, and get an instant word cloud visual. Use it as a word cloud generator or tag cloud for speeches, articles, or any text you want to summarize at a glance. Bigger words mean higher frequency. No sign-up, no upload; the same tokenization as the Text Tokenizer runs in your browser. Use Max words and Min count to focus the cloud. Ideal for quick overview, presentations, content analysis, or education.

2. How to use it

Quick start: Choose From text (paste and tokenize) or From list (words and frequencies), enter or paste input, click Generate Word Cloud, then adjust Max words and Min count. Hover for frequency counts.

1. Choose input mode — From text tokenizes pasted text automatically (same as Text Tokenizer). From list lets you enter words and frequencies manually, one per line (e.g. word 10 or word<Tab>10).
2. Enter or paste — For text mode: type or paste text; use Generate dummy text to quickly fill. For list mode: enter one word frequency pair per line.
3. Click Generate Word Cloud — The tool processes your input and renders a word cloud.
4. Adjust options — Set Max words (default 80) to limit how many words appear, and Min count to exclude low-frequency words.
5. Hover for counts — Hover over any word to see its frequency count in a tooltip.

3. How it works

Word counting is delegated to the Text Tokenizer: text is split on whitespace, leading and trailing punctuation are stripped, empty strings filtered, frequency computed and sorted by count descending. The cloud layout uses d3-cloud to pack words without overlap. Font size scales with frequency. All computation runs entirely in your browser. No data is sent to any server.

4. Use cases & examples

• Quick overview — See at a glance which terms dominate a document or transcript.
• Presentations — Create a visual summary of key topics from meeting notes or articles.
• Content analysis — Identify recurring themes in blog posts or customer feedback.
• Education — Illustrate word frequency and vocabulary distribution in texts.

Example

For input: "hello world hello.": Tokens: hello, world, hello. Cloud: "hello" appears larger than "world" because it occurs twice.

5. Limitations & known constraints

• Input cap — Maximum 512KB (~512,000 characters). Larger input returns an error.
• Client-side only — No server; processing runs in the browser. Very large inputs may cause brief UI lag.
• Simple tokenization — Same as Text Tokenizer: whitespace split only; no stemming, lemmatization, or language-specific tokenization.
• For detailed analysis — Use the Text Tokenizer for frequency tables, copy output, and "Analyze in Statistics" integration.