Text Converter
Word Frequency Counter Converter
Generate a frequency map for each word in text.
Layout mode
Source text mode
Input
0 words · 0 chars
Output
0 words · 0 chars
Input
0 words · 0 chars
Output
0 words · 0 chars
Free · 18+ Tools · No Signup · Browser-BasedOnline Text Converter —
Online Text Converter —
Case, Array, Replace & More
A free, all-in-one text manipulation suite for developers, writers, and data professionals. Convert text to camelCase, Title Case, or UPPERCASE; split any string into a typed array; remove duplicates; count word frequency; and perform advanced find-and-replace with whole-word control — all in real time, entirely in your browser, with no account needed.
18+Text tools
∞Chain-able
0Sign-ups needed
100%Browser-based
Every Text Tool You Actually Need
Switch between 18+ transformations from the tool bar above. Each tool is purpose-built — not an afterthought wrapped in a generic textarea.
Case Converters
8 case styles in one click
Convert any text to Lowercase, UPPERCASE, camelCase, Sentence case, Title Case, Capitalized Case, AlTeRnAtInG CaSe, or Inverse Case instantly. Ideal for code refactoring, content formatting, and fixing accidental CAPS LOCK text.
Text to Array
Custom separator · Typed output
Split any text into a developer-ready array using any separator — comma, pipe, newline, or a custom string. Choose your output datatype (String, Number, Boolean) and optionally filter with 'Except Types' to produce mixed-type arrays for real codebases.
Substring Replacer
Whole-word control · Case-sensitive
Advanced find-and-replace with three modes: Replace All, Replace First, or Replace Last. Toggle 'Match whole words only' to avoid partial hits, and 'Case-sensitive' for precise substitutions — far more powerful than a basic Ctrl+H.
Duplicate Word Remover
Clean repetitive text instantly
Automatically detect and strip duplicate words from any block of text. Essential for cleaning scraped data, normalizing keyword lists, or sanitizing user-generated content before storage or display.
Word Frequency Counter
Ranked occurrence analysis
Analyze any text and get a ranked breakdown of how often each word appears. Useful for SEO keyword density checks, corpus analysis, identifying overused terms in long-form writing, and data preprocessing.
Sort Words
Alphabetical or custom order
Sort individual words or lines alphabetically (A–Z or Z–A). Perfect for normalizing tag lists, sorting CSV columns, alphabetizing glossaries, or preparing data for deduplication pipelines.
Repeat Text Generator
Bulk text multiplication
Generate repeated copies of any string or paragraph a specified number of times. A time-saver for creating test data, populating placeholder content, stress-testing UI layouts with long strings, and generating dummy datasets.
Character & Substring Tools
Remove · Find · Replace · Reverse
A suite of precision tools: Character Remover strips unwanted characters by pattern, Remove Substring deletes specific sequences globally, Find & Replace handles targeted substitutions, and Reverse Text flips any string character-by-character or word-by-word.
How to Use the Text Converter
- 01
Select a Tool
Click any tool button in the SELECT TOOL toolbar at the top — Case converters, Text to Array, Substring Replacer, Duplicate Remover, Word Frequency Counter, and more. The active tool is highlighted and its settings panel appears instantly below.
- 02
Paste or Type Your Text
Enter your text in the input area. The conversion updates in real time as you type — no button press needed. Toggle between Single view (stacked) and Multi view (side-by-side) from the Layout mode bar to compare input and output simultaneously.
- 03
Configure Tool Options
Each tool exposes its own settings: set a custom separator for Text to Array, choose a datatype (String / Number / Boolean), toggle case-sensitivity or whole-word matching for Substring Replacer, or pick a sort direction for Sort Words.
- 04
Chain or Copy
Click 'Apply Output as Current Input' to feed the result back into the input and apply a second transformation — enabling multi-step pipelines without copy-pasting. When done, copy the output or download it as a text file.
Text to Array: How the Datatype Engine Works
Most text-to-array tools only output strings. This tool goes further — it lets you control the output datatype per element so the array is copy-paste ready for your actual code.
| Setting | Input | Output |
|---|---|---|
String | apple, banana, cherry | ["apple","banana","cherry"] |
Number | 1, 2, 3, 4, 5 | [1,2,3,4,5] |
Boolean | true, false, true | [true,false,true] |
Custom + Except | alice, 42, true | ["alice",42,true] |
Except Types: When Custom datatype is selected, toggle String / Number / Boolean in the Except Types panel to keep those types unquoted while the base datatype wraps everything else — producing realistic mixed-type arrays without manual editing.
Real-World Examples
See how different users get value from the text converter in their daily workflows.
DeveloperText to Array
INuser_first_name, user_last_name, email_address
OUT["user_first_name","user_last_name","email_address"]
Paste a CSV header row, set separator to comma → get a typed JS string array, ready to destructure.
Content WriterTitle Case
INTHE QUICK BROWN FOX JUMPS OVER THE LAZY DOG
OUTThe Quick Brown Fox Jumps Over the Lazy Dog
Fix ALL-CAPS paste from a PDF into a perfectly formatted headline in one click.
Data AnalystWord Frequency Counter
INapple banana apple cherry banana apple
OUTapple: 3 · banana: 2 · cherry: 1
Instantly rank token frequency in a raw text corpus without writing a script.
SEO / MarketerChain: camelCase → Title Case
INcamelCase variable names → clean blog title
OUTCamel Case Variable Names → Clean Blog Title
Use 'Apply Output as Current Input' to chain two conversions in sequence without copy-pasting.
Built for Every Text Workflow
Frontend DevelopersBackend EngineersContent Writers & EditorsSEO SpecialistsData AnalystsStudents & ResearchersQA TestersTechnical Writers
Whether you are normalizing database column names, fixing a content editor's CAPS LOCK mistake, splitting a CSV row for a Zod schema, or analyzing keyword density before publishing — this tool handles it without opening a code editor or installing anything.
FAQ
Questions We Actually Get Asked
These are the three most common programming naming conventions. camelCase joins words with no separator, capitalizing every word except the first (e.g. userFirstName) — standard in JavaScript, Java, and Swift for variables and functions. PascalCase (also called UpperCamelCase) capitalizes every word including the first (e.g. UserFirstName) — used for class names and React components. snake_case uses underscores between lowercase words (e.g. user_first_name) — idiomatic in Python, Ruby, and SQL column names. Use the camelCase tool here to convert any natural-language phrase into the correct naming style for your codebase in one click.
Title Case capitalizes the first letter of every major word — typically used for headings, article titles, product names, and UI labels (e.g. "The Quick Brown Fox"). Sentence case only capitalizes the first word of the sentence and proper nouns — the standard style for body copy, emails, and most conversational text (e.g. "The quick brown fox"). The key rule: in Title Case, short prepositions, articles, and conjunctions like "a", "in", "and", "the" are usually lowercased unless they are the first word. Use the Title Case tool for headings and the Sentence case tool for everything else.
The Text to Array tool splits your text at every occurrence of your chosen separator (comma, pipe, newline, tab, or any custom string) and wraps the result in array syntax. The Expected Output Type setting controls how each element is quoted: selecting String wraps every item in quotes (["a","b","c"]); selecting Number outputs unquoted numeric values ([1,2,3]); selecting Boolean converts truthy/falsy strings to true/false. The Except Types option lets you mix types — for example, keeping strings as the base type but preserving any detected numbers as unquoted numerics, producing realistic mixed-type arrays from raw data without manual editing.
This is one of the most powerful features in the tool. Apply Output as Current Input takes whatever the current output is and feeds it back into the input field, letting you chain multiple transformations in sequence without copy-pasting. For example: paste a camelCase identifier → apply "Inverse Case" → then apply "Title Case" — each step builds on the last. This is especially useful for multi-step data normalization, complex text preprocessing pipelines, or transforming raw data through several formats before it is usable in your project.
In the Substring Replacer: Replace All substitutes every occurrence of the search string throughout the entire text — equivalent to JavaScript's replaceAll(). Replace First only targets the very first match, leaving all subsequent occurrences untouched — useful when the first instance has a different role than the rest. Replace Last targets only the final occurrence — handy for removing trailing separators, fixing the last item in a list, or editing the closing tag of a repeated pattern. Combine these with the Match whole words only toggle to avoid replacing substrings inside longer words (e.g. replacing "log" without accidentally hitting "login" or "catalog").
When Match whole words only is enabled, the tool uses word-boundary detection so it only matches your search term when it appears as a standalone word — not as part of a longer word. For example, searching for "cat" with this option on will match "cat" and "Cat" but not "catalog", "scat", or "concatenate". Without it, all three would be replaced. This is critical for code refactoring (replacing a short variable name that appears as a prefix elsewhere), natural language editing, and data cleaning where partial-word matches would corrupt your output.
Yes — and this is one of the most popular use cases. Paste a column of values from Excel or Google Sheets, then use tools in sequence: Duplicate Word Remover to strip repeated entries, Substring Replacer to normalize inconsistent formatting, Lowercase or Title Case to standardize capitalization, and finally Sort Words to alphabetize. Use "Apply Output as Current Input" between each step to chain them. The result is clean, normalized text you can paste directly back into your spreadsheet or import into a database.
Alternating Case cycles through uppercase and lowercase on every character (e.g. hElLo WoRlD) — commonly used for social media memes, emphasis in casual messaging, and playful brand voice. Inverse Case flips the case of every character: uppercase becomes lowercase and lowercase becomes uppercase (e.g. Hello World → hELLO wORLD) — useful for reversing CAPS LOCK accidents on large text blocks, creating visual contrast in design mockups, or testing how a UI renders mixed-case inputs in edge cases.
The Word Frequency Counter tokenizes your text and returns each unique word alongside how many times it appears, ranked from most to least frequent. For SEO, this is useful for keyword density analysis — Google recommends that your primary keyword appears naturally throughout a page without over-optimization. Paste your article draft and check that your target keyword appears proportionally and that filler words aren't crowding it out. For writing, it helps identify overused terms so you can vary your vocabulary. For data science, it is a fast way to inspect corpus vocabulary distributions before feeding text into NLP pipelines.
Single view shows the input and output stacked vertically in a single panel — the most compact layout, ideal on smaller screens or when you want maximum focus on the text. Multi view displays input and output side-by-side in a split-panel layout, letting you compare the original and converted text simultaneously without scrolling. Multi view is especially useful when chaining transformations, auditing case changes across long documents, or reviewing find-and-replace results against the source text to confirm accuracy before copying.
All text processing runs entirely in your browser using JavaScript — nothing is ever transmitted to a server, stored in a database, or logged anywhere. This means you can safely paste proprietary code, client data, internal documents, or personally sensitive text without any privacy risk. No account is required, no cookies track your inputs, and closing the tab removes everything. The tool works fully offline after the initial page load.
Use the Text to Array tool. Paste your comma-separated values, set the Separator field to ,, choose your Expected Output Type (String for ["a","b","c"] output, Number for [1,2,3]). The output is valid JavaScript array syntax by default. For Python, the bracket and quote format is identical for string arrays — just replace the outer braces with square brackets if needed, or use the custom datatype settings to produce the exact format your code expects. The entire conversion happens in real time as you type.
More Tools from UntangleTools
UntangleTools is a free, developer-focused utility suite. All tools run in the browser — no accounts, no data collection, no paywalls.
Why Trust This Tool?
Built by UntangleTools — a developer-first utility suite built on one principle: give you genuinely useful tools without paywalls, sign-up walls, or ad-cluttered interfaces. Every transformation runs locally in your browser using native JavaScript — no text is ever transmitted to a server, no input is stored, and no account is ever required. The tool works offline after the first page load.
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