AI word cloud generator
Paste reviews, survey answers or an article and press Analyse my text with AI. You get the themes, a one-line gist and a cloud coloured by meaning — not just by word count.
Why counting words isn't enough
A classic word cloud counts exact spellings. People don't write that way: they say the same thing with different words, and the most important idea often hides behind several synonyms. Try switching between the two views below.
Show the 8 answers
- The staff were friendly and the checkout was fast.
- Friendly people, but delivery took too long.
- Delivery was late twice. Staff friendliness made up for it.
- Fast checkout, slow shipping.
- Loved the friendly service!
- Shipping costs are too high.
- Very helpful staff, delivered late though.
- Great prices, slow delivery.
Counting splits one complaint across “delivery”, “late”, “slow”, “shipping”, “delivered” and “long” — so it looks smaller than “friendly”, even though it's the most common problem.
What semantic analysis changes
| Problem with plain counting | What AI mode does |
|---|---|
| “shipping”, “delivery”, “delivered” counted separately | Merged into one term, so the real size of the idea shows |
| “customer service” split into two unrelated words | Kept together as one phrase |
| Frequent-but-empty words like “really” or “thing” sneak in | Only meaningful terms are kept |
| All words the same random colours | Each theme gets a colour, with a legend you can explain on a slide |
| No summary | A one-sentence gist of the text |
Two ways to use it
1. Analyse text you already have
Open-ended survey responses, product reviews, interview transcripts, a policy document, a novel chapter. Up to 20,000 characters per analysis. Afterwards, click “Edit as word list” to fine-tune any weight by hand.
2. Get words for a topic
No text yet? Type a topic in the box under the AI button: “kindness words for Year 3”, “photosynthesis vocabulary”, “retirement card for a nurse”. The AI writes a weighted list and the cloud builds itself. Everything stays editable.
AI can misjudge nuance. Glance over the word list before you present it, especially for sensitive feedback. The classic word-count mode is always one click away with “Back to word counts”.
Questions people ask
What does the AI actually do?
It reads your text for meaning rather than counting letters. It merges variants and synonyms (“ship”, “shipping”, “delivery”), keeps multi-word ideas together (“customer service”), drops words that are frequent but empty, weights terms by how central they are, and sorts them into 2–6 themes. CloudShaper then draws the cloud and colours each theme.
Is the AI word cloud generator free?
Yes. To keep it free, each visitor can run a handful of AI analyses every ten minutes. The regular word-count cloud has no limits at all.
Can the AI make a word cloud without any text?
Yes. Describe a topic, occasion or audience — “science lab safety words for grade 6” or “values for a small bakery brand” — and it writes a weighted word list for you. You can edit the list before downloading.
Is my text kept or used for training?
Your text is sent through Vercel AI Gateway to the model only to produce the word list, and CloudShaper does not store it. Don’t paste anything confidential into any online AI tool, including this one.
When should I not use AI mode?
When you need exact counts — for example to show that one word appears 42 times. AI weights express importance, not frequency. Use the standard mode or the word frequency counter for that.
Which languages work?
Most major languages. The AI keeps terms in the language of your text.