Free Lorem Ipsum Generator

How this tool computes its result

Uses a fixed 61-word Latin word bank. `buildSentence` walks the bank from a running offset with modulo wraparound to pick each word, capitalizes the first word, and appends a period. `generateLorem` loops paragraphs then sentences per paragraph, varying sentence length as `8 + ((paragraphIndex + sentenceIndex) % 9)` words (8–16 words), and advances the offset by `wordCount + 3` after each sentence so consecutive sentences pull from different parts of the word bank. Paragraph and sentence-per-paragraph inputs are clamped with `Math.max`/`Math.min` to 1–20 and 1–12 respectively before generation.

Worked example

With paragraphs=1 and sentencesPerParagraph=2: sentence 1 uses 8 words starting at offset 0 → "Lorem ipsum dolor sit amet consectetur adipiscing elit." (offset then advances to 11); sentence 2 uses 9 words `(8 + (0+1)%9)` starting at offset 11 → "Tempor incididunt ut labore et dolore magna aliqua enim.", both joined into a single paragraph string.

When not to use this tool

Output is fully deterministic — the same paragraph/sentence-count inputs always produce byte-identical text, because it is a fixed walk through the same word array rather than a random shuffle. It is the wrong tool when a test genuinely needs unique or randomized placeholder text on every generation (e.g. testing duplicate-content detection).

Common mistakes

• - Entering 0 or a non-numeric value into paragraphs/sentences — `Number(value) || 1` silently falls back to 1, and the clamp additionally caps the range to 1–20 / 1–12, so out-of-range requests are quietly rewritten rather than rejected.
• - Expecting classic randomized lorem ipsum output; regenerating with unchanged paragraph/sentence counts always returns the exact same text since there is no random seed involved.
• - Copying the visible text without noticing paragraphs are separated by a blank line (`\n\n`) — pasting into an editor that collapses consecutive newlines merges paragraphs together.

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