TextKit: The Complete Guide to Browser-Local Text Tools

A long look at TextKit, the free, private, browser-local suite of text utilities for writers, developers, and SEOs. Thirty-three tools, forty-one long-form guides, and a single design principle: your text never leaves your machine.

If you have arrived here after typing count twitter characters, remove spaces, case converter, json formatter, text diff, remove duplicate online, palindrome finder, sort lines alphabetically, camel case vs kebab case, or any of the other twenty-odd queries that send writers and developers looking for a simple text utility on a Tuesday afternoon, the short answer is that you have probably found the right place. TextKit is the free, browser-local suite that does these jobs without an account, without an upload, and without sending a single keystroke to a server.

The longer answer is the rest of this guide. There are thirty-three tools on the site, forty-one long-form articles in the blog, and a coherent philosophy underneath all of it. Most readers arrive looking for one tool and leave knowing about three. This piece is the map.

What TextKit Actually Is

TextKit is a free suite of browser-local text tools for writers, developers, and SEOs. The defining word is browser-local. Every operation, counting characters, formatting JSON, removing duplicates, hashing a string, generating a slug, happens inside your browser tab. Nothing is uploaded. The site has no login, no paywall, no tracking pixel on the tool pages, and no server endpoint that could even theoretically retain what you paste in.

That single architectural choice is what separates TextKit from the average online text-tool site. Most competitors process server-side. A few are honest about it, most are vague. TextKit is unambiguous on the privacy page and in the small print under every tool: the JavaScript runs in your browser, the input never crosses the network, and you can verify it by opening the network tab in your developer tools.

The product catalog splits into three tiers. The tools, thirty-three of them, each one a single-purpose page that loads in under a second. The guides, forty-one long-form articles in the TextKit blog that explain the standards, the edge cases, the workflows. And the index pages, home, about, and the legal pages, that hold the rest together.

Counting Words, Characters, and Social-Post Limits

The most common reason anyone reaches for a text tool is the most mechanical one: they need to know how long something is, and the social platform or the meta-description field or the SMS gateway will not tell them in advance.

Word Counter /word-counter

The word counter gives you a live word count, character count, sentence count, paragraph count, and reading time as you type. It is the workhorse tool of the site, the one writers leave open in a tab while drafting blog posts, email replies, college essays, and product descriptions. The companion guide on blog post length covers the optimal word count by content type and the recent changes in how AI search engines treat length as a citation signal.

Character Counter, Twitter, SMS, Meta Description /character-counter

If you have searched count characters for twitter, count twitter characters, or character count for tweet, the TextKit character counter is the tool. Live limits for Twitter (280), Instagram captions, LinkedIn posts, SMS (160 GSM-7, 70 UCS-2), Facebook, TikTok, and a handful of meta-tag limits. Emoji are counted by their actual code-point weight, which matters more than most casual tools admit. The deeper background sits in the complete guide to character count, where character count actually matters, how the Twitter limit became 280, and the emoji and surrogate-pair gotchas.

Cleaning Up Text, Spaces, Duplicates, Search and Replace

The second-most common reason: text comes out of one tool dirty and needs to go into another tool clean. Spreadsheets paste with non-breaking spaces. AI output ships with markdown bold and odd punctuation. Web copy arrives with double-spaces that nobody remembers typing. The cleanup cluster is where TextKit earns the daily-driver tab in most users' browsers.

Remove Extra Spaces /remove-spaces

The remove spaces tool collapses double spaces to single, strips leading and trailing whitespace, removes blank lines, and tidies the kind of irregular spacing that copy-paste introduces. The same page answers the related queries, remove spacing, remove blank spaces, how to remove double spaces, because the underlying operation is the same. Anyone who has pasted a paragraph from a PDF into a CMS knows why this exists.

Remove Duplicate Lines /remove-duplicates

If you have a list of email addresses, URLs, names, SKUs, or anything else that should be unique and is not, remove duplicate lines is the tool. Options to ignore case, ignore leading whitespace, sort alphabetically after dedup, or preserve original order. The same page handles the remove duplicate online search-intent that brings most users here. The how-to guide on removing duplicate lines covers the three edge cases that break most dedup workflows, case sensitivity, whitespace, order preservation, and the patterns that handle all three at once.

Find and Replace with Regex /find-replace

The find and replace tool does plain-text search-and-replace with case-insensitive and whole-word options, and full JavaScript-flavored regex for everything more complex. Useful for the search and replace in javascript and regex replace test queries that bring developers to the site, paste, write the pattern, see the result, copy it back. No script to write, no IDE to open.

Case Conversion and Code Naming Conventions

Case Converter, UPPERCASE, lowercase, camelCase, snake_case, kebab-case /case-converter

The case converter handles ten transformations: UPPERCASE, lowercase, Title Case, Sentence case, camelCase, PascalCase, snake_case, kebab-case, SCREAMING_SNAKE_CASE, and dot.case. Instant and Unicode-correct, the German ß, the Turkish dotless i, and the accented vowels of Spanish and Portuguese all behave the way the language specifies, not the way a naive uppercase function defaults. The complete guide to case conversion covers the AP, APA, and Chicago title-case rules and the Unicode gotchas that catch the casual implementations.

The companion essay, camelCase vs snake_case vs kebab-case, is the page that ranks for the camel case vs kebab case and camelcase vs kebab case queries developers run when they need to defend a naming choice in a code review. The short version: camelCase for JavaScript and Java identifiers, snake_case for Python variables and database columns, kebab-case for URL slugs and CSS classes, PascalCase for type names, SCREAMING_SNAKE_CASE for constants. The long version is in the article.

Developer Utilities, JSON, Diff, Hash, Encoding

The developer cluster is the densest on the site. These are the tools that get bookmarked once and used for years.

JSON Formatter, Validator, Minifier /json-formatter

The JSON formatter pretty-prints, validates, and minifies JSON. Paste raw JSON, get a formatted version with sortable keys, configurable indentation, and a clear error pointer when something is malformed. The companion guide, validating JSON in 2026: browser vs VS Code vs jq, is the field guide for which validator to use when. The browser tool wins for one-off pastes. jq wins for streaming. VS Code wins for schema-aware editing.

Text Diff, Compare Two Texts Side by Side /text-diff

The text diff tool compares two pieces of text and highlights every added, removed, and changed line. Useful for proofreading two drafts, comparing API responses, checking whether a translation matches the source, or auditing what an AI assistant changed when you asked it to "improve" a paragraph.

Hash Generator, MD5, SHA-1, SHA-256, SHA-512 /hash-generator

The hash generator computes MD5, SHA-1, SHA-256, and SHA-512 hashes of any string. Browser-local, which matters more here than anywhere else on the site, because hashing a password or an API key on a server-side tool would be a security violation. TextKit's runs in the browser. The input string never leaves the page.

Base64 Encoder and Decoder /base64

The Base64 tool encodes plain text to Base64 and decodes Base64 back to plain text, with full UTF-8 support so accented characters, CJK ideographs, and emoji round-trip correctly. The kind of tool you need three times a year and want to find in under five seconds.

Binary Code Translator /binary

The binary code translator converts text to binary and binary back to text. UTF-8 supported, multi-byte safe, emoji friendly. The accompanying complete guide to binary translation walks through how a translator for binary actually turns text into base-2 and back, the byte, the bit, UTF-8 versus ASCII, the surrogate-pair handling for non-BMP characters.

List Operations, Sort, Shuffle, Prefix, Suffix

A surprising amount of professional text work turns out to be list work. Email lists, URL lists, item lists, line lists. TextKit's list cluster handles the six operations every workflow ends up needing.

Sort Lines, Alphabetical, Numerical, by Length /sort-lines

The sort lines tool handles the queries readers actually type: sort lines alphabetically, sort lines by length, numerical sort for lists of numbers, and reverse sort. Case-insensitive and unique options are toggles, not separate tools. The guide on sorting lines covers the five sort orders and how to get each in the browser, in Excel, and in the command line.

Shuffle Lines, True Fisher-Yates /shuffle-lines

The shuffle lines tool randomizes the order of any list using a real Fisher-Yates shuffle. The accompanying article explains why the wrong shuffles to avoid, the naive sort-with-random-comparator that still ships in too many tutorials, produce biased orderings, and when a uniform random permutation actually matters.

Add Prefix and Suffix to Each Line /prefix-suffix

The prefix and suffix tool wraps every line in custom text, quotes, brackets, HTML tags, SQL values, JSON quotes, markdown bullets. The classic five patterns are covered in the how-to guide, alongside the cleanup step that prevents the trailing-comma error in SQL IN clauses.

If you spend a lot of time reshaping lists, the complete guide to list operations covers all six, sort, dedupe, shuffle, prefix, suffix, reformat, as one unified workflow. The same essay covers how to format a list for SQL, JSON, or HTML, which is the next thing most readers ask once they have the list cleaned up.

Encoding, Decoding, and Translation

Morse Code Translator /morse-code

The Morse code translator converts text to Morse and Morse back to text, with audio playback at the standard 20 WPM. ITU standard, browser-local, with the dits and dahs synthesized in the page. The complete guide to Morse code covers the 1844 origin, the difference between ITU and American Morse, the PARIS WPM standard, and the audio-synthesis logic the tool uses.

Pig Latin Translator /pig-latin

The Pig Latin translator encodes English to Pig Latin and decodes back. Classic schoolyard rules, words beginning with a consonant get the consonant moved to the end plus -ay; words beginning with a vowel get -way (or -yay, or -hay, depending on the variant). The complete guide covers the two rules, the regional variants, the consonant-cluster edge cases, and the schoolyard history.

Generators, Lorem Ipsum, Random Words, Unicode Styles

Lorem Ipsum Generator /lorem-ipsum

The Lorem Ipsum generator produces placeholder text by paragraphs, sentences, or words. Classic Cicero-derived Lorem Ipsum, or random pseudo-Latin if you need filler that looks plausibly Latin without being the famous passage. The query latin for text brings a surprising number of designers and writers here. The complete guide to Lorem Ipsum covers where it actually comes from (a scrambled passage from Cicero's De finibus), why designers still use 500-year-old fake Latin, when it hurts the work, and the modern alternatives worth knowing about.

Random Word Generator /random-word

The random word generator produces English words on demand, filterable by part of speech, noun, adjective, verb, adverb. Click to copy. Useful for writing prompts, brainstorming sessions, vocabulary games, password seeds, and the seven other use cases covered in the complete guide.

Bold Text Generator, Unicode Fonts /bold-text

The bold text generator converts plain text into bold, italic, cursive, fraktur, monospace, or outlined Unicode characters you can paste anywhere, Instagram bios, LinkedIn headlines, Twitter posts, email subject lines, places that do not support real formatting. The accompanying guide explains how the Mathematical Alphanumeric Symbols block of Unicode makes this work and why some characters fall back to regular when they hit a platform that does not support the full range.

Invisible Text Generator /invisible-text

The invisible text generator outputs blank Unicode characters, useful for empty Instagram bios, WhatsApp message spacing, Discord username tricks, and the surprisingly common requirement of "submit this form even though the field cannot be empty." The complete guide documents which characters paste cleanly on which platforms and which ones get stripped by content filters.

Text Reverser, Text Repeater, Markdown Table Generator /text-reverser, /text-repeater, /markdown-table

The text reverser handles four reversal modes, characters, words, lines, and reverse-each-line. The text repeater repeats any text with configurable separators and counts. The markdown table generator builds GitHub-flavored markdown tables from scratch or from pasted Excel ranges, with live preview. The supporting essays, the complete guide to markdown tables, the syntax cheatsheet, the 60-second how-to, and the markdown vs HTML tables comparison, cover every edge case the table tool can produce.

Palindrome Checker /palindrome

The palindrome checker answers the question the queries check for palindromes, palindrome finder, and palindrome text ask: is this word, phrase, or sentence the same forward and backward? Ignores spaces, punctuation, and case, the way the classic palindrome convention requires.

SEO and URL Tools

URL Slug Generator /url-slug

The URL slug generator turns any title, a blog post, a product name, a heading, into a clean, SEO-friendly URL slug. Handles transliteration of accented characters and non-Latin scripts, stop-word removal, custom separators (hyphens, underscores, dots), and the length-trimming heuristics search engines actually reward.

This is the cluster TextKit has invested the most editorial effort in. Four long-form guides anchor the slug topic: how to create a URL slug in five seconds, the definitive 2026 guide to URL slug SEO, dash vs underscore in URLs and how Google reads each, and URL slugs in the age of AI search, because ChatGPT, Perplexity, and Gemini now cite URLs as sources, and slug clarity has begun to influence whether an AI engine picks one source over another.

Email Extractor /email-extractor

The email extractor pulls a clean, deduplicated list of every email address out of any block of text, resumes, scraped web pages, CSV dumps, conference programs, Slack exports. Because it is browser-local, none of those email addresses ever cross the network. The companion essays, the complete guide to email extraction, the email regex cheatsheet with worked examples, the free vs paid email extractor comparison, the Hunter.io versus free extractors review, and the how-to-extract-emails-from-text walkthrough, cover the regex patterns, the obfuscation handling, the deliverability verification step, and the legal limits.

For the AI Era, Cleaning Up ChatGPT and Claude Output

One of the unexpected fits TextKit has found is the AI-output cleanup workflow. ChatGPT and Claude produce markdown-native text that is rarely production-ready as written. The tools and the guides on TextKit map directly onto the operations that workflow needs: strip the markdown bold, normalize the smart quotes, collapse the extra spaces, deduplicate the list, convert the case, validate the JSON the assistant generated, diff what changed when you asked the model to rewrite a paragraph.

The two essays that anchor this cluster are the five-step workflow for formatting ChatGPT and Claude output and the broader text tools for the AI era, which inventories the twelve cleanup operations every AI worker ends up running by hand and shows which TextKit tool covers each one.

Browser-Local by Design

Every tool on TextKit follows the same operating discipline, articulated on the privacy page: the JavaScript runs in your browser, the input never crosses the network, and the absence of a server-side processing step is verifiable in the developer-tools network panel. There is no account system, no upload step, no "we promise we don't store it", because there is no surface where storage could even occur.

That choice has trade-offs. Some operations are slower in the browser than they would be on a server. A few tools that would benefit from heavy backend lifting, large-corpus deduplication, multi-gigabyte JSON validation, are intentionally not on the site. But for the daily working-text scale that ninety-nine percent of users actually have, browser-local is faster than the round-trip to a server, and it removes the entire surface area of the privacy question.

The about page describes the principle in the language TextKit prefers: your text, your machine.

Where to Start

If you have read this far, here is the routing logic:

If you came looking forStart here
Counting words or characters/word-counter · /character-counter
Twitter character limit/character-counter
Cleaning up spacing/remove-spaces
Dedup a list/remove-duplicates
Case conversion/case-converter
JSON formatting / validation/json-formatter
Comparing two pieces of text/text-diff
Find and replace with regex/find-replace
Hash a string (MD5, SHA-256, etc)/hash-generator
Base64 or binary encoding/base64 · /binary
Sort, shuffle, or reshape a list/sort-lines · /shuffle-lines · /prefix-suffix
Placeholder text for a mockup/lorem-ipsum
SEO-friendly URL slug/url-slug
Email extraction/email-extractor
Bold or invisible Unicode/bold-text · /invisible-text
Morse or Pig Latin/morse-code · /pig-latin
Palindrome check/palindrome
Markdown table/markdown-table
Random word/random-word
Reverse or repeat text/text-reverser · /text-repeater

All 33 Tools, Complete Catalog

Counting and Limits

Case Conversion

Encoding and Translation

SEO and Productivity

All 41 Guides, The TextKit Blog

From TextKit

TextKit is a free, browser-local suite of thirty-three text tools and forty-one long-form guides for the people whose work touches text every day, writers, developers, marketers, SEOs, students, AI workers. The fastest way to start is to open the homepage, pick the tool you need, and use it. No account, no upload, no waiting.

If you want the practical map: word counter for drafting, JSON formatter for code, case converter for naming, URL slug for SEO, text diff for proofing, remove duplicates for lists. Everything else builds out from those six.

Frequently asked questions

What is TextKit?

TextKit is a free suite of browser-local text tools for writers, developers, and SEOs. The defining word is browser-local. Every operation runs inside the browser tab. Nothing is uploaded to a server. No account, no paywall, no tracking pixel on tool pages.

How many tools does TextKit have?

Thirty-three tools as of May 2026. The catalog covers counting (word counter, character counter), cleanup (remove spaces, remove duplicates, find and replace), case conversion, developer utilities (JSON formatter, text diff, hash generator, Base64, binary), list operations (sort, shuffle, prefix and suffix), encoding (Morse code, Pig Latin), generators (lorem ipsum, random word, bold text, invisible text, text reverser, text repeater, markdown table, palindrome checker), and SEO (URL slug, email extractor).

Is TextKit free?

Yes. Every tool is free. There is no paywall, no premium tier, no account requirement, and no upload limit. The site runs ads on some pages to cover hosting; the tool pages themselves stay clean.

Does TextKit upload my text?

No. Every tool processes text locally in your browser using JavaScript. You can verify this by opening developer tools and inspecting the network tab while using any tool. No XHR or fetch request fires when you process text. The architecture makes server-side retention structurally impossible.

Which TextKit tool should I start with?

Depends on what you do. Writers should bookmark the word counter and character counter. Developers should bookmark the JSON formatter, text diff, and hash generator. SEOs should bookmark the URL slug generator and the character counter (for meta-description and title-tag limits). Anyone working with AI output should bookmark the find-and-replace tool and the remove-duplicates tool.

Does TextKit have a blog?

Yes. Forty-one long-form articles on the TextKit blog cover the standards, edge cases, and workflows behind every tool. The Complete Guide series goes deep on individual topics (character count, lorem ipsum, Morse code, etc.). The how-to series covers practical workflows (sorting lines, removing duplicates, extracting emails). The SEO series covers URL slugs in the age of AI search, blog post length in 2026, and the dash-versus-underscore question that comes up in every CMS migration.

Keep reading

Written by . We build the tools we write about. Try the 26 TextKit tools referenced in this guide.