Générateur de nuage de mots aléatoires

How to use

1. 1️⃣
   Choose your options above
2. 2️⃣
   Click Generate
3. 3️⃣
   Copy your result

Detailed instructions

1. Select a theme from the dropdown that matches your project — nature, technology, emotions, business, or general.
2. Set the word count using the number input; start with 20 for a compact cloud or go up to 60 for a denser one.
3. Click 'Generate' to produce a fresh grid of themed words drawn randomly from the pool.
4. Copy the words from the grid output and paste them directly into your word cloud tool, spreadsheet, or document.
5. Click 'Generate' again at any time to get a completely new set — nothing is locked between sessions.

Use Cases

• •Pasting a 40-word nature theme batch into WordArt.com to build an eco-brand mood board
• •Seeding a Miro brainstorming board with business-theme trigger words before a positioning workshop
• •Generating emotion-theme vocabulary for a descriptive writing warm-up in a secondary school English class
• •Pulling technology-theme terms as seed keywords to expand in Google Keyword Planner
• •Populating placeholder text in a Figma word cloud UI mockup with realistic thematic words

Tips

• →Mix two separate themed generations — run Nature once and Emotions once — then merge the lists for a more layered, evocative word cloud.
• →To make certain words appear larger in frequency-based tools like WordArt, paste that word three or four times consecutively in the input field.
• →The Emotions theme is especially useful for UX researchers building empathy maps — the words map naturally onto user feelings and pain points.
• →If you need a word cloud for a presentation slide, cap the count at 25 words; dense clouds lose legibility when projected or printed small.
• →After generating, paste the words into ChatGPT or a thesaurus and ask for synonyms of the ones you like — doubles your usable vocabulary instantly.
• →For classroom use, generate at 30 words and ask students to group them into categories before using them — adds a vocabulary-building layer before the design task.

FAQ