Three tools, three jobs
Dedup cleans: it removes duplicate lines from lists — one copy of each unique line survives. Word Count measures: it reports words and characters for any text, the numbers behind limits and targets. Base64 transforms: it encodes text into Base64 and decodes it back.
Clean, measure, transform — the three primitive text operations. Nearly every text chore is one of these, or a sequence of them: tidy the list, check its size, convert its encoding.
Dedup vs word count: cleanup vs measurement
These two are the most confused pair, but their jobs never overlap: dedup changes your text (removing lines), word count only observes it (reporting numbers). One edits, one measures — complementary, not competing.
They sequence naturally: dedup first to finalize the list, then count to verify its size. Counting a list still full of duplicates measures the mess, not the result; clean first, measure second.
Where Base64 fits
Base64 serves a different audience: developers and technical users encoding data for transport — tokens, data URIs, API payloads, email attachments. Where dedup and word count serve writers and analysts, Base64 serves builders.
It is a reversible transformation, not a cleanup or measurement: encode to transmit safely through text-only channels, decode to recover the original exactly. Nothing is lost or judged — the text goes away and comes back identical.
Combining them in workflows
Real workflows chain all three: dedup a keyword list, count it against a campaign limit, Base64-encode it for an API payload. Each tool hands its output to the next, and the whole chain runs locally in one browser session.
Writers chain two: dedup research notes into a clean outline, count the draft against its limit. Analysts do the same with data lists. The pattern is universal — clean, measure, transform — whatever the material.
Teach the chain to colleagues as one habit: clean the list, check the size, encode only if needed. Three verbs, in order, cover nearly every text task they will ever face. The order matters more than the tools — clean before measuring, measure before transforming.
One shared foundation
All three tools share the CubTools guarantees: free, no account, unlimited use, 15 languages, and fully local processing. Your text is never uploaded, stored, or logged — paste, process, copy, done, with nothing left behind.
That shared foundation is what makes chaining effortless: no logins between tools, no data leaving your machine between steps, no friction at all. Three small tools, one consistent promise — text handled your way, on your device.
Frequently asked questions
What is the difference between dedup and word count?
Dedup edits your text by removing duplicate lines; word count only measures it, reporting words and characters. Clean first, then measure.
What is Base64 for?
Encoding text (or data) into a safe text format for transport — tokens, data URIs, API payloads — and decoding it back exactly.
Are my texts uploaded when using these tools?
No. All three process text locally in your browser; nothing ever leaves your device.