ToolDeck's online text tools let you count words, convert letter casing, sort lines, remove duplicates, and generate placeholder text directly in your browser. The Word Counter reports words, characters, sentences, paragraphs, and estimated reading time. The Case Converter handles uppercase, lowercase, title case, camelCase, snake_case, kebab-case, and more. The Lorem Ipsum Generator produces configurable placeholder text for mockups. The Line Sorter reorders lines alphabetically, by length, in reverse, or randomly. The Duplicate Line Remover strips repeated lines while preserving original order. Every tool runs entirely client-side — your text is processed by JavaScript on your device and never sent to a server or stored anywhere — making them safe to use with production logs, internal documents, and other sensitive content. No account or sign-up is required.
What Are Text Tools?
Text tools are utilities that perform structured operations on plain text: counting, transforming, sorting, deduplicating, and generating. These tasks appear constantly in software development, technical writing, data cleaning, and content editing. While most programming languages have built-in string methods, a browser-based tool gives you the result in seconds without writing a script, opening a terminal, or installing a package.
Developers reach for text tools when the task is too small to justify a script but too tedious to do by hand. Renaming 50 CSS classes from camelCase to kebab-case, counting the words in a pull request description, sorting a log file by line content, or removing duplicate entries from a CSV column are all examples where a dedicated tool is faster than a one-off regex or shell pipeline.
Text manipulation is also one of the first things that breaks when you switch operating systems or editors. Line endings differ between Windows (CRLF) and Unix (LF). Locale-sensitive sorting produces different results depending on your system's collation settings. Browser-based text tools sidestep these inconsistencies by running the same JavaScript engine regardless of your local environment.
Text tools are also useful when prototyping or verifying logic that will eventually run in a CI/CD pipeline or shell script. Before adding a sort step to a pipeline, you can paste the input into the Line Sorter to confirm the expected output. Before writing a sed pattern to normalize casing, you can validate the transformation in the Case Converter. This browser-first workflow shortens the feedback loop during development and reduces the risk of shipping a broken automation step.
Why Use Text Tools on ToolDeck?
ToolDeck's text tools process everything in your browser tab. Your text never leaves your machine, which matters when you're working with production logs, user data, or proprietary content. There are no API calls, no rate limits, and no telemetry.
⚡Instant results, zero setup
Paste your text, get the output. No npm install, no Python virtual environment, no command-line flags to memorize. Each tool loads in under a second and works offline once the page is cached.
🔒Private by design
All processing happens in your browser using standard JavaScript APIs. No text is sent to a server, stored in a database, or logged anywhere. Safe for production data, internal documents, and personal content.
🧰Five tools, one interface
Word counting, case conversion, line sorting, deduplication, and placeholder generation share a consistent layout. Learn one tool, and the rest work the same way. Copy and clear buttons are in the same position on every page.
📋Handles large inputs
The tools use the Monaco editor component, which handles documents with tens of thousands of lines without freezing. Line Sorter and Duplicate Line Remover process large log files and data exports efficiently in the browser.
Text Tools Use Cases
Text manipulation touches every part of the development workflow. Here are common scenarios where these tools save time:
Content Editing & QA
Technical writers and editors paste draft text into the
Word Counter to check against word limits for blog posts, documentation pages, or commit messages. The reading time estimate — calculated at 200 words per minute — helps gauge whether an article is too long for a changelog entry or release note. It also reports character count, sentence count, and paragraph count in a single pass.
Code Refactoring
When renaming variables across a file, the
Case Converter transforms a list of identifiers between camelCase, snake_case, PascalCase, and kebab-case. This is faster than writing a regex for each conversion rule.
Log File Analysis
DevOps engineers paste log output into the Line Sorter to group similar entries together, or into the Duplicate Line Remover to find how many unique error messages appeared in a crash log.
UI/UX Prototyping
Designers and frontend developers use the Lorem Ipsum Generator to fill mockups, Storybook components, and Figma frames with realistic-length placeholder text. Configurable paragraph and word counts match the expected content dimensions.
Data Cleaning
Data engineers paste CSV columns or newline-separated lists into the
Duplicate Line Remover to extract unique values before importing into a database. Combined with the Line Sorter, this produces a clean, sorted dataset in two steps.
Documentation & README Formatting
When compiling lists for a README or changelog, the Line Sorter alphabetizes entries for consistency. The Word Counter checks that a project description stays within the 200-character limit many package registries enforce.
Text Operations Reference
The table below maps common text operations to the ToolDeck tool that performs them, along with example inputs and outputs. Use it to quickly identify which tool fits your task.
| Operation | Tool | Example Input | Example Output | Related Standard / API |
|---|
| Word count | Word Counter | "Hello world" | 2 words, 11 characters | Unicode UAX #29 (word boundaries) |
| Character count | Word Counter | "cafe\u0301" (4 chars + combining accent) | 5 code units / 4 grapheme clusters | Unicode UAX #29 (grapheme clusters) |
| Case conversion | Case Converter | "hello world" | "helloWorld" (camelCase) | Locale-aware: String.prototype.toLocaleUpperCase() |
| Placeholder generation | Lorem Ipsum Generator | 3 paragraphs, 50 words each | 150 words of Latin-derived filler text | De Finibus Bonorum et Malorum (Cicero, 45 BC) |
| Alphabetical sort | Line Sorter | "banana\napple\ncherry" | "apple\nbanana\ncherry" | String.prototype.localeCompare() / Intl.Collator |
| Reverse sort | Line Sorter | "apple\nbanana\ncherry" | "cherry\nbanana\napple" | Array.prototype.reverse() |
| Deduplication | Duplicate Line Remover | "a\nb\na\nc\nb" | "a\nb\nc" (3 unique lines) | Set data structure (ES6) |
Character counting behavior depends on whether you count UTF-16 code units (JavaScript's string.length) or Unicode grapheme clusters. The Word Counter reports both when they differ.
How to Choose the Right Text Tool
Each text tool targets a different operation. Match your task to the right tool:
- 1
If you need to check word count, character count, or reading time for an article, README, or commit message → Word Counter - 2
If you need to convert variable names or text between camelCase, snake_case, UPPERCASE, title case, or kebab-case → Case Converter - 3
If you need placeholder text for a UI mockup, Storybook component, or design prototype → Lorem Ipsum Generator - 4
If you need to sort lines alphabetically, by length, in reverse, or shuffle them randomly → Line Sorter - 5
If you need to remove duplicate lines from a log file, CSV column, or any newline-separated list → Duplicate Line Remover
These tools work well in sequence. For example, paste a raw log file into the Duplicate Line Remover to extract unique entries, then move the result to the Line Sorter to alphabetize them, and finally use the Word Counter to check the line count. Each tool accepts plain text input and produces plain text output, so copying between them is straightforward.
Frequently Asked Questions
How does the Word Counter count words?
The Word Counter splits text on whitespace boundaries (spaces, tabs, newlines) and counts the resulting non-empty segments. This matches the behavior of the Unix 'wc -w' command and most text editors. Hyphenated words like "well-known" count as one word. The tool also reports character count (with and without spaces), sentence count (split on period, exclamation mark, and question mark followed by a space or end-of-string), and paragraph count (blocks separated by blank lines).
What case formats does the Case Converter support?
The Case Converter supports: UPPERCASE, lowercase, Title Case, Sentence case, camelCase, PascalCase, snake_case, CONSTANT_CASE, kebab-case, dot.case, and path/case. It detects word boundaries from spaces, hyphens, underscores, dots, slashes, and camelCase transitions (lowercase-to-uppercase). This means you can paste "myVariableName" and convert it directly to "my_variable_name" or "my-variable-name" without manual preprocessing. The tool also works well when bulk-renaming identifiers: paste a list of API response keys and convert them all to snake_case in one step before updating your codebase. This avoids writing a one-off sed or Python script for a straightforward mechanical transformation.
Is the Lorem Ipsum text real Latin?
Lorem ipsum text is derived from sections 1.10.32 and 1.10.33 of "De Finibus Bonorum et Malorum" by Cicero, written in 45 BC. The standard passage has been used as typographic filler since the 1500s. The text is scrambled Latin, not grammatically correct sentences. ToolDeck's Lorem Ipsum Generator uses the traditional word pool and arranges words into sentences and paragraphs of configurable length. Using placeholder text rather than real content during prototyping prevents premature decisions about copy length and avoids displaying sensitive data in screenshots or design reviews.
Can the Line Sorter handle case-insensitive sorting?
Yes. The Line Sorter offers case-insensitive alphabetical sorting as one of its modes. In this mode, "Apple" and "apple" are treated as equal for ordering purposes. The tool also supports natural sort order (where "file2" comes before "file10"), reverse sort, sort by line length, and random shuffle. Sorted output is particularly useful in CI/CD pipelines and configuration files, where deterministic ordering makes diffs more readable and avoids spurious changes between commits. You can use the Line Sorter to verify the expected sort order interactively before adding a sort step to your build script or linting rules.
Does the Duplicate Line Remover preserve the original line order?
Yes. The Duplicate Line Remover keeps the first occurrence of each line and removes subsequent duplicates. The output preserves the original order of first appearances. It also supports case-insensitive matching (where "Error" and "error" are treated as the same line) and whitespace trimming (where leading and trailing spaces are ignored during comparison).
Is my text sent to a server when I use these tools?
No. All ToolDeck text tools run entirely in your browser. The text you paste stays in your browser tab's memory and is processed by JavaScript on your device. No network requests are made with your content. You can verify this by opening your browser's developer tools and checking the Network tab while using any tool.
What is the maximum text size these tools can handle?
The tools use the Monaco editor (the same editor engine as VS Code) for input, which handles files with tens of thousands of lines. Practical limits depend on your browser's available memory. For most tasks under 100,000 lines, performance is immediate. Very large files (500,000+ lines) may cause the browser tab to use significant memory. If you need to process multi-gigabyte files, a command-line tool like sort, uniq, or wc is more appropriate.
Do these tools handle Windows (CRLF) and Unix (LF) line endings correctly?
Yes. The Line Sorter and Duplicate Line Remover normalize line endings internally before processing, so files with Windows-style CRLF endings (\r\n) produce the same results as Unix LF files (\n). The Word Counter also handles both formats correctly when counting sentences and paragraphs. The Case Converter and Lorem Ipsum Generator operate on character sequences and are not affected by line-ending style. If you copy output from these tools and paste it into a Windows application, the output will use LF line endings — you can convert between CRLF and LF with a dedicated line-ending converter if your target system requires CRLF.