Word Cloud Generator
Generate a word cloud from any text. Words sized by frequency. Download as SVG.
Input
Characters: 0Unique words: 0Placed words: 0
Preview
Enter text to generate a word cloud
How word clouds work
A word cloud (tag cloud) visualizes word frequency by sizing each word proportionally to how often it appears in the text. Common stop words (the, and, is…) are filtered out. Words are placed using a spiral algorithm from the center, with larger words placed first to avoid gaps. The result helps quickly identify the most prominent themes in any body of text.
Built and maintained by Meet Shah · Last updated
What this tool is used for
- Producing a quick visual of which terms dominate a body of text.
- Making a graphic for a slide that shows a corpus at a glance.
- Spotting an unexpectedly frequent word in a set of survey responses.
- Comparing two documents' vocabulary side by side.
- Producing an SVG cloud that scales for print.
Frequently Asked Questions
- Which words end up in the cloud?
- Words of three or more letters, lower-cased, minus a 48-word stop list (the, and, is, was, this and similar). Bare numbers and punctuation are skipped. Chinese, Japanese and Thai are segmented by UAX #29 rather than by spaces, with a two-character floor, since words in those scripts are shorter.
- How is each word's size decided?
- Linear interpolation between the least and most frequent word shown: the rarest is drawn at 14 px and the most common at 70 px. Because it scales the height rather than the area, a word twice as frequent looks more than twice as heavy — read a cloud as a ranking, not a measurement.
- How are the words positioned?
- On an Archimedean spiral out from the centre, testing up to 400 positions per word and rejecting any that overlaps something already placed. Widths are estimated per character — 0.55 em for Latin, a full em for Han, kana and Hangul — so the fit is approximate for unusual glyphs.
- Why has a word disappeared?
- Three filters can remove it: the minimum-count threshold, the maximum-words cap, and the layout itself — a long word placed late may find no gap within 400 attempts and is dropped rather than drawn over its neighbours. Raise the cap or trim the text.
- What is in the SVG download?
- Real <text> elements with coordinates, font size and fill — not a rasterised picture. It scales to any size without blurring, the background is transparent, and every word stays selectable and editable in Illustrator, Figma or a plain text editor.
Common errors and gotchas
- Reading a word cloud as analysis, when size encodes frequency and nothing else.
- Leaving stop words in, which makes 'the' the largest word and the cloud useless.
- Comparing two clouds built at different scales, where size is not comparable.
- Treating position or colour as meaningful, when both are usually just layout.
- Using a cloud where a ranked list would convey the same thing more precisely.
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