📝 Text Tools
Text is the raw material of almost every workflow — code, documentation, email drafts, blog posts. Yet the small tasks that come up constantly — comparing two versions of a file, generating placeholder copy, previewing Markdown before committing, or checking whether an article is a five-minute or fifteen-minute read — rarely justify opening a heavyweight desktop app or pasting sensitive content into an unknown website.
The tools below handle those everyday text tasks directly in your browser. No data ever leaves your machine. Every diff is computed locally, every lorem ipsum paragraph is generated on the client, every Markdown render happens in a sandboxed preview pane. There is no server round-trip, no account, and nothing to install. Just open the page, paste or type, and get the result instantly.
Whether you are a developer reviewing pull-request changes, a writer polishing a draft, or a designer filling wireframes with realistic dummy text, these utilities save you a context switch and keep your content private.
Tools in this category
文本工具箱
統計單詞，字符，刪除重複項，轉換大小寫等。
Lorem Ipsum 生成器
生成 Lorem Ipsum 佔位符文本。
文本差異比對
線上比較兩個文本文件的差異。高亮顯示變化。
Markdown 編輯器 & 預覽
實時 Markdown 預覽工具。輕鬆編寫 Markdown 並立即查看轉換後的 HTML。
Reading Time Estimator
Words → reading & spoken-time estimates with adjustable WPM.
Frequently asked questions
What algorithm does the diff checker use?
The diff checker uses a longest-common-subsequence (LCS) algorithm similar to the one behind Unix diff. It compares text line by line, highlights additions and deletions, and optionally shows inline character-level changes. It runs entirely in JavaScript — no text is sent to any server.
Can I trust that my text stays private?
Yes. Every tool on this page is 100% client-side. Open your browser's DevTools Network tab and verify: no requests leave the page when you paste, type, or generate text. Your content never touches a server, a database, or a third-party API.
How is reading time calculated?
The estimator counts words and divides by an average adult reading speed of roughly 200–250 words per minute (adjustable). Research shows that reading speed varies with content complexity; technical material is slower than casual prose. Treat the number as a practical estimate, not a precise measurement.
Does the Markdown previewer support GitHub-Flavored Markdown?
Yes. The previewer handles GFM extensions — tables, task lists, fenced code blocks, strikethrough, and autolinks — in addition to the standard CommonMark spec. Rendering happens locally using a JavaScript parser.