Convert Your Text to snake_case Convert text to snake_case for Python variables and database columns.

The tool's core logic lies in the `splitWords` function, which employs regular expressions to identify word boundaries. It uses three replace operations: one to insert spaces before uppercase letters following lowercase ones, another to separate consecutive uppercase letters, and a third to replace special characters like underscores, hyphens, and dots with spaces. The modified string is then split into words using one or more whitespace characters as delimiters, filtered to remove empty strings, and finally trimmed of leading and trailing whitespace. This approach ensures accurate word splitting even in complex cases, such as "helloWorld" or "get-UserName_fast".

The `onProcess` callback function takes the input string, splits it into lines using the newline character `\n`, applies the `splitWords` function to each line, converts all words to lowercase using the `toLowerCase` method, and joins them back together with underscores in between. The resulting lines are then joined with newline characters to form the final output string. This line-by-line processing allows for efficient handling of batch conversions. The use of React's `useCallback` hook ensures that the `onProcess` function is memoized, preventing unnecessary re-renders and improving performance. The tool's UI is built using the `TextToolLayout` component, which provides input and output fields with placeholders and labels.

In terms of data structures, the tool relies on arrays to store the split words and lines, as well as strings to represent the input and output text. The `splitWords` function returns an array of words, which is then mapped over to convert each word to lowercase and join them back together with underscores. The resulting string is then split into lines and processed further. This combination of arrays and strings enables efficient manipulation of the input text and production of the desired output format. The tool's algorithm preserves numbers within words by treating them as part of the word, rather than attempting to separate or modify them.