Free Online Text Tools
Clean, count, convert and reshape text without leaving the page.
Writers, students, marketers and developers all juggle text. SwiftTooly's text tools handle the routine jobs — counting words, switching case, cleaning line breaks, generating slugs, finding and replacing — instantly and locally. Paste your draft in, get the result out, and move on. Nothing you type is uploaded or saved on our side.
7 Text Tools
Why use SwiftTooly's Text Tools
Live updates
Stats and transforms recompute as you type — no “process” button, no waiting.
Confidential drafts
Pre-publication articles, legal text and client copy stay on your device.
No length limit
Run multi-thousand-word documents through any tool without hitting a paywall.
Predictable output
Deterministic, well-defined transforms — no AI rewriting your wording.
Text Tools in your browser vs uploaded to a server
SwiftTooly (browser)
Text lives in a <textarea> in your tab and is transformed in pure JavaScript on the same thread.
Typical upload-to-server tools
Your text is sent to a remote API that may log it, cache it, or feed it into a language model for product improvement.
Why would you need a text tool at all?
Every tool in this group solves a problem created by text moving between systems that disagree about formatting. Copying from a PDF inserts a hard line break at the end of every visual line, because a PDF positions glyphs rather than storing flowing paragraphs. Pasting from a plain-text email brings breaks wrapped at 72 or 78 characters, a convention inherited from terminal widths. Text coming out of a spreadsheet, a terminal or a legacy system arrives with inconsistent capitalisation, stray whitespace and line endings from whichever platform produced it. None of that is visible until you paste the text somewhere that reflows, at which point it becomes a ragged column that will not behave. The line break remover, case converter and find-and-replace tools exist to normalise text back into something that can be used, and they are most useful in combination rather than individually.
A cleanup sequence that handles most pasted text
Text pulled out of a PDF or an email usually needs the same three passes in the same order. Start with the line break remover in extra-only mode with trimming enabled — that collapses runs of blank lines and strips the trailing spaces PDF extraction leaves at the end of each line, which are what produce doubled spaces mid-sentence after joining. Check the preview. If the text is a single paragraph that was hard-wrapped, switch to remove-all to join it properly. Second, run find-and-replace for anything the extraction mangled: ligatures that came through as odd characters, hyphens left from line-broken words, or repeated artefacts like page numbers. Whole-word matching on and case sensitivity on is the safe default here. Third, use the case converter if the source capitalisation is wrong — headings extracted in all caps are the common case. Sentence case handles most of it, though proper nouns will need a manual pass afterwards, since no automatic conversion can know which words should stay capitalised.
Counting, slugs and the details that matter
The word counter measures more than word count, and the secondary figures are often the ones people actually need: character counts with and without spaces for platforms with hard limits, and a reading-time estimate based on roughly 220 words per minute, which is a common benchmark for online prose. Note that character limits on social platforms count differently — some count graphemes, some count UTF-16 code units, and emoji can consume several units each — so a count here is a close guide rather than an exact match for any specific platform's counter. The slug converter handles the other end of the pipeline, turning a finished title into a URL. Its two decisions are worth knowing: hyphens rather than underscores, because search engines read a hyphen as a word boundary and an underscore as a joiner, and accents normalised to ASCII, because percent-encoded characters are fragile when shared and awkward to type. Everything in this group processes text in your browser and keeps it there. That is worth more than it sounds for text specifically, because the drafts, emails and documents people paste into cleanup tools are frequently unpublished, confidential or personal — a contract clause being reformatted, a medical letter being tidied, a draft that has not been sent. None of it is transmitted, and all of these tools continue working with the network disconnected.
Frequently asked questions
Is what I paste sent anywhere?
- No. Every text tool runs inside your browser. Open the network tab while you type — no requests are made with your content.
How is reading time estimated?
- We assume about 220 words per minute, the common benchmark for adult silent reading of online prose. It's a rough estimate, not a guarantee.
Do you support very long documents?
- Yes. The browser handles documents into the hundreds of thousands of characters smoothly; you may notice mild lag only on extremely large inputs.
Are the slugs URL-safe in every language?
- The slug tool transliterates accented Latin characters and strips non-URL-safe characters. Non-Latin scripts (CJK, Arabic, etc.) are removed rather than transliterated.