The Generators Behind Everyday Content: Lorem, Hashtags, QR Codes

Three generators do quiet work all over the web: lorem ipsum fills a layout so you can judge its shape instead of its words, a hashtag generator turns prose into tags, and a QR code packs a URL into a scannable square. None of them is magic — each is a small, well-defined transformation of your input: sample from a pool, filter a word list, or encode data with deliberate redundancy.

Lorem ipsum: filler that is meaningless on purpose

The passage is scrambled Latin. Its phrases trace back to Cicero's "De finibus bonorum et malorum" (1st century BC), but the version typesetters use has been mangled since the 1500s, when a printer cut and shuffled it to make a type specimen. It survived five centuries of print, moved onto Letraset dry-transfer sheets in the 1960s, and rode into digital design with early desktop publishing software. The point of using it is that you cannot read it: real copy tempts you to proofread and rewrite, while nonsense lets you judge line length, hierarchy, and density — the things layout actually depends on.

Mechanically, a lorem generator samples words from a fixed pool (the classic corpus holds a few dozen words like dolor, amet, consectetur), joins them into sentences, and capitalizes the first letter — every paragraph is an independent random draw, so no two runs match, and asking for 20 paragraphs is as cheap as asking for one. Words are drawn with replacement: repeats are normal and harmless, because the output is texture, not prose.

Hashtags: tokenization plus a filter chain

Turning prose into hashtags is a pipeline of cheap text operations. Lowercase everything, split into word tokens at anything that is not a letter or digit, remove duplicates, then filter: words of two letters or fewer go, common function words (the, a, at, with…) go, pure numbers go. Whatever survives gets a # prefix, capped at a maximum count:

in:  "Brewing better coffee at home: a cheap scale beats an expensive machine"

out: #brewing #better #coffee #home #cheap #scale #beats #expensive

Read that example against the rules and everything explains itself: "at", "a", and "an" vanish as stopwords, "machine" was the ninth survivor and got cut by the cap of eight, and a hyphenated word like "pour-over" would have split in two, because punctuation is a token boundary. Each hashtag must be a single unbroken token — no spaces — which is exactly why the splitting step exists. The result is not "optimal" tags; it is a deterministic, explainable extraction you can tune by editing the input.

QR codes: a grid built to be found first

A QR code is a square grid of black-and-white modules, from version 1 (21×21 modules) up to version 40 (177×177), growing four modules per version. Larger versions hold more data — up to about 7,089 digits, 4,296 alphanumeric characters, or 2,953 bytes of text at the largest size with the lightest error correction. Before any data can be read, the scanner has to locate and orient the code, so the layout reserves structure for that: three large finder patterns (the nested squares in three corners), a smaller alignment pattern in most versions, and timing strips of alternating modules between them. The camera's first job is geometric — find the corners, correct perspective, normalize the lighting — and only then decode.

How QR error correction works

The reason a scratched, stained, or partially covered QR code still scans is that it does not store data alone — it stores data plus carefully computed redundancy. The payload is packed into codewords, and for each block of codewords the encoder appends extra error-correction codewords computed with Reed–Solomon codes, the same mathematical family that protected music on CDs. When a decoder reads damaged modules, it treats the missing or wrong codewords as unknowns and solves for them using the redundancy — recovering up to a fraction of the codewords without ever knowing what the original bits were.

Four correction levels trade data capacity for resilience: L recovers roughly 7% of codewords, M about 15%, Q about 25%, and H about 30%. Higher levels mean less room for your text (or a larger, denser code for the same text), which is why the choice is a tradeoff rather than a "best". Most general-purpose generators — including this site's — use level M as the balance point. Level H is what lets you stamp a logo over the center of a code: the covered modules are treated as damage, and the redundancy absorbs them. Interleaving the blocks spreads a scratch across many blocks instead of destroying one, and mask patterns alternate light and dark modules so no large blank patch can masquerade as a finder square.

Try it yourself

The Lorem Ipsum Generator produces 1–20 paragraphs at your chosen words-per-paragraph, a fresh random draw every run. The Hashtag Generator applies the token-plus-filter pipeline to any paste of prose and lets you set the cap. The QR Code Generator encodes any text or URL at error-correction level M and downloads the result as a PNG — the same redundancy math, rendered as pixels you can scan from a phone.