Word Cloud Generator

Create visually weighted word clouds from text input with customizable shapes, fonts, and color schemes.

Tested tool guide Tested browser tools Checked August 16, 2026

What Word Cloud Generator does, with a checked example

You paste or type text, and each distinct word is sized according to how often it occurs, then packed together into the chosen outline (rectangle, circle, or a custom shape) using the font, palette, and color scheme you pick. What trips people up most: word size reflects relative frequency within your own input, not any external importance score, so a 400-word paragraph with one word repeated 5 times will look very different from a 4,000-word document where that same word appears 5 times.

Worked example

A concrete input and expected output from the current implementation.

Input

apple banana apple cherry apple banana

Expected output

apple rendered largest (count 3), banana at medium size (count 2), cherry smallest (count 1)

The tool counts occurrences of each distinct word after merging case variants, and maps count directly to relative font size, so the word appearing three times is drawn largest.

How the result is produced

Frequency counting and sizing

Input text is split into words, case is normalized so 'Apple' and 'apple' count as one term, and duplicates are tallied. Each unique word's tally is scaled against the highest-frequency word in the set to determine its font size, so size is always relative to the rest of your input, never an absolute scale.

Shape, font, and color application

Once sizes are set, words are placed to fill the selected outline, largest first, fitting smaller words into the remaining space around them. The font family and color scheme you choose apply per word, either cycling through a palette or mapping to size, while the shape option constrains where words can be drawn.

Good uses

Summarizing themes from survey responses or open-ended feedback at a glance
Building a quick visual for a presentation slide or report from a speech transcript
Highlighting the most repeated terms in a job posting, resume, or set of notes

Limits and checks

Whether common filler words (the, and, of) are filtered automatically or need manual exclusion isn't obvious until you generate a cloud and see them dominate
Word size shows relative rank within your input only; you cannot compare sizes across two separately generated clouds as if they shared a scale
Re-generating from the same text may shift word positions between runs even when the underlying frequencies and sizes stay the same, so don't expect pixel-identical output on a second pass

Common questions

Does it strip out common words like 'the' and 'and' automatically?

Going by how this tool builds the cloud, it splits your input into words, normalizes case, and tallies every token it finds, with no separate stopword-removal step in that process. So common words are sized by raw frequency the same as any other word: if 'the' or 'and' occur often in your input, they will render large right alongside your content words. If you don't want them in the cloud, strip them from your input text before generating.

Can I control which specific words get which colors?

No. The color scheme you select is applied per word by cycling through the chosen palette or by mapping color to that word's size band, not by letting you pin a specific color to a specific word. To change how a word is colored, your only lever is picking a different color scheme or shifting that word's frequency (and therefore its size band) in the input text.

References and verification

The example and behavioral notes were checked against the browser implementation. Standards and primary references below define the relevant format, formula, or platform behavior.