About

Data inconsistency remains a primary cause of syntax errors in programming and duplicates in databases. Whether refactoring legacy code variables or normalizing CSV headers, manual text transformation is prone to error. This tool provides a deterministic engine for converting string patterns into rigid, standardized formats. It targets specific use cases: syntax adherence for variables, readability for prose, and serialization for data storage.

Unlike basic converters, this engine utilizes a multi-pass tokenization process. It first decouples the input string into a vector of semantic roots (splitting by existing delimiters, camelCase boundaries, or whitespace) before applying the target transformation logic. This ensures that complex inputs like XMLHttpRequest or USER_ID_v2 are correctly parsed and reassembled into the desired format without data loss.

Formulas

The core transformation relies on a Tokenization Vector T derived from the input string S. The engine splits S based on a set of delimiters D (underscore, hyphen, space) and CamelCase boundaries.

T = split(S, D ∪ A-Z)
Result = n∑i=0 ( Map(T_i) + Glue )

For Sentence Case, the logic iterates through characters to detect sentence terminators Term = {., !, ?}. The capitalization function f(x) applies only if the preceding non-whitespace character is in Term or if it is the start of the buffer.

{

Upper(c_i) if c_i-1 ∈ TermLower(c_i) otherwise

Reference Data

Format Name	Visual Output	Structural Logic	Primary Application
CamelCase	iphoneXcPrice	lower(w₀) + Title(w_n>0)	JavaScript, Java, JSON keys
PascalCase	IphoneXcPrice	Title(w_all)	C#, TypeScript Classes, React Components
Snake Case	iphone_xc_price	lower(w) + _	Python, Ruby, SQL Databases
Constant Case	IPHONE_XC_PRICE	UPPER(w) + _	Environment Variables, PHP Constants
Kebab Case	iphone-xc-price	lower(w) + −	URL Slugs, CSS Classes, Lisp
Header Case	Iphone-Xc-Price	Title(w) + −	HTTP Headers (X-Request-ID)
Dot Case	iphone.xc.price	lower(w) + .	Object Properties, i18n Keys
Path Case	iphone/xc/price	lower(w) + /	File Paths, URL Segments
Flat Case	iphonexcprice	lower(w) + NULL	Java Packages, Instagram Tags
Sentence Case	Iphone xc price	Upper(S₀)	Standard Prose, Descriptions
Alternating	iPhOnE Xc pRiCe	c_i = c_i-1^-1	Mocking Text, Memes

Frequently Asked Questions

The tokenizer is aggressive. It treats all non-alphanumeric characters (underscores, hyphens, periods, spaces) as split points. It also detects "camel boundaries" (a lowercase letter followed by an uppercase letter). "User_ID-v1" becomes the vector ['User', "ID", 'v1'], which is then reassembled into the target format (e.g., "userIdV1" for camelCase).

No. Algorithmic sentence casing is strictly syntactic. It capitalizes the first letter of a sentence. It does not possess a semantic dictionary to recognize that "paris" or "google" should remain capitalized. Manual review is necessary for proper nouns.

Generally, yes, if the target format uses delimiters. Converting "hello_world" (snake_case) to "helloWorld" (camelCase) is lossless. However, converting to "helloworld" (flat case) is destructive because word boundaries are lost; you cannot programmatically restore "helloworld" to "hello_world" without a dictionary lookup.

Numbers are treated as part of the word token immediately preceding them unless separated by a delimiter in the input. In "snake_case", "Room101" typically becomes "room101". If the input was "Room_101", the output preserves the underscore: "room_101".

The tool operates within the browser's JavaScript engine (V8/SpiderMonkey). It can typically handle text blocks up to 50MB (millions of lines) instantly. Extremely large files may cause a momentary UI freeze.