Sample TXT Generator
Generate a genuine plain text file in seconds — seven content types, real UTF-8, UTF-16 or ASCII encoding, an optional BOM, your choice of line ending, and an exact target file size. Runs entirely in your browser.
Quick Tips for the Right Test Text
Features
The Only Real Decision a Text File Makes
Every other setting in this generator changes what the text says. Encoding is the one setting that changes what the text actually is, byte for byte, while leaving what a reader sees completely untouched. The word café is five bytes in UTF-8, ten bytes in UTF-16, and simply can't survive intact in seven-bit ASCII at all — three genuinely different files, all displaying the identical four characters the moment a text editor decodes them correctly.
That gap between what a file contains and what it displays is exactly why encoding bugs are so easy to miss in testing and so disruptive in production — a script that assumes UTF-8 everywhere can silently corrupt a UTF-16 file it was never actually tested against. Choosing each encoding here on purpose is the direct way to catch that kind of bug before a real user's file does.
Three Bytes That Don't Change What You Read
A Byte Order Mark sits at the very start of a file, before a single character of real content — three bytes for UTF-8, two for UTF-16 in either byte order — and its entire job is declaring how everything after it should be decoded. A text editor that understands it skips straight past to the real content; one that doesn't may show a few stray, unprintable characters at the top of the file instead.
Both outcomes are real and worth testing deliberately, not just theoretically. Some parsers genuinely require a BOM to auto-detect UTF-16 reliably, since without one there's no byte-level signal telling a reader which order the two bytes of each character come in. Others assume UTF-8 by default and treat an unexpected BOM as three bytes of garbage at the start of otherwise valid content — which is exactly the failure this toggle exists to reproduce on demand.
Every Byte Is Content, So Precision Is Free
Sample MP3 shrinks a file by lowering bitrate, then duration. Sample WebM reduces resolution before it touches length. Plain text has no equivalent dial to turn, because there's no quality sitting between the content and the bytes on disk — a text file is just as many characters as it is. Hitting a smaller exact target here means truncating directly to that byte, and hitting a bigger one means appending a clearly labeled block of real characters, both computed directly rather than re-generated and re-measured in a loop.
The one genuine catch is character boundaries. Cutting a UTF-8 file mid-character or a UTF-16 file through the middle of a surrogate pair would leave real, invalid bytes behind — so truncation always walks back to the nearest complete character first, and UTF-16's fixed 2-byte-per-unit granularity means an odd-numbered target lands one byte over rather than exactly on it, reported honestly rather than silently rounded.
Two Kinds of Repetition, Two Different Bugs
Long Single Line and Highly Repetitive can sound like the same idea — a lot of similar content — but they stress genuinely different code paths. A single line with no breaks at all is a direct test of whether a reader, editor or diff tool assumes lines stay under some reasonable length; plenty of line-based parsing code holds an entire line in memory or a fixed-size buffer, and a file that's one enormous line finds that assumption immediately.
Highly Repetitive, by contrast, is short, ordinary lines repeated many times over — structurally unremarkable, but a genuinely good proxy for how a tool behaves on low-entropy input generally, since some naive diffing or deduplication logic performs very differently on content that repeats than on genuinely varied prose, even at the same total file size.
Who Actually Needs a Real Test TXT
Developers building or testing a file-upload pipeline's encoding detection need genuinely different UTF-8, UTF-16 and ASCII files, since a pipeline that assumes one encoding everywhere is a real, common source of production bugs invisible until a genuinely non-ASCII file arrives. Teams testing log parsers or line-based tools benefit specifically from Special Characters and mismatched line endings, both real sources of a parser silently misreading a file as one line or several thousand.
QA teams validating a text-processing feature end-to-end get more genuine coverage from working through several content types deliberately than from one convenient paragraph — a tool that handles Plain Prose correctly can still choke on Long Single Line's complete lack of breaks, or on Structured Columns' tab-separated layout, each testing a different real assumption about how text is shaped.
Where Plain Text Stops Being Enough
This generator produces exactly what a plain text file is — characters, an encoding and a line-ending convention, nothing else. It carries no rich formatting, no embedded structure the way Sample CSV or Sample JSON do, and no metadata field of any kind, since a bare text file genuinely has nowhere to put one. A test that needs structured, parseable data rather than free-form text calls for one of those formats instead of this one.
The content itself stays synthetic on purpose, too — Lorem Ipsum, generated prose and placeholder columns rather than real user data, the same honest scope every content-generation tool in this library shares. A test that specifically needs a realistic writing sample, not a reference file for byte-level and encoding behavior, calls for real source text instead.