Dummy Text Generator

The dummy text generator builds placeholder text by sampling words from Lorem Ipsum or a custom source, pasted directly or uploaded as a .txt file, up to a target word or character count. Output distributes across a chosen number of paragraphs, with a Short, Medium, or Long length preset guiding how words spread between them.

Words sample from the source and rebuild into sentences with sentence case and terminal punctuation, optionally randomized between ., !, or ?. Output wraps in semantic HTML such as <p>, <h2>, or <ul>, with inline tags such as <b>, <i>, and <code> added without invalid nesting; raw tags can be shown as literal markup instead of applied.

• Output size is set in words or characters, to a target total count.
• Paragraphs distribute across a chosen count and a Short, Medium, or Long length preset.
• Formatting options cover sentence case, randomized punctuation, and forced end punctuation.
• Markup options add paragraph wrappers and optional block or inline tags.
• Style options adjust font size, line height, weight, spacing, and alignment.
• A seedable random generator (mulberry32) reproduces identical output when the same seed is reused.
• Live stats report paragraphs, words, characters, sentences, and estimated read time.
• Output exports as copied text, a .txt file, an .html file, or JSON that also captures the settings.

Core logic: Word Count = number of tokens separated by whitespace. Character Count = length of plain text with tags removed. Sentence Count = matches of [.!?] at ends of sentences. Average Words per Sentence = Word Count ÷ Sentence Count. Estimated Read Time ≈ ceil(Word Count ÷ 200) minutes. Paragraph Distribution ≈ target words per paragraph based on Short (≈40-60), Medium (≈100-130), or Long (≈180-220) ranges, scaled to meet total count.

Keyboard shortcuts speed up common actions: Ctrl+Enter generates text, and Ctrl+S saves it. Copied output preserves paragraph breaks as clean text.

The generator prototypes real layouts, validates content flows, and creates shareable examples. Paragraph density and punctuation adjust to simulate human writing patterns that expose design flaws earlier in the process, with consistent datasets exportable for testing and documentation.

• UI and UX mockups: Fill cards, tables, and modals with realistic text lengths to test wrapping, truncation, and line height.
• Editorial design: Preview magazine, brochure, or blog layouts with precise word and paragraph counts.
• Accessibility checks: Evaluate readability by tuning sentence length, casing, and heading structure.
• Frontend development: Seed predictable outputs that match snapshot tests and visual regression baselines.
• Content strategy: Simulate different tone patterns by toggling randomized punctuation and sentence case.
• Localization planning: Stress test components with longer paragraphs or higher character counts.
• QA and automation: Export JSON that captures source, seed, statistics, and settings for reproducible test fixtures.
• Client reviews: Share .html snippets that mirror production markup, or provide .txt for copy decks.

Layout decisions rely on measurable metrics: exact counts and preserved paragraph breaks satisfy stakeholder constraints in both copies and exports, the statistics panel and read-time estimate document the result, and any sample can be reproduced exactly by reusing its seed and settings JSON.