Splitter Swift

Splitter Swift is a lightweight, deterministic string splitter designed for data engineers, developers, and editors who routinely convert unstructured text into structured tokens. It supports splitting by a fixed delimiter or by a regular expression pattern, and it returns a tokens array along with a simple count. The tool is designed to be predictable and fast, operating locally without network requests, making it suitable for sensitive data. Example: splitting 'alpha,beta,,gamma' by ',' with remove_empty enabled yields ['alpha','beta','gamma'], while leaving empties yields ['alpha','beta','','gamma'] depending on settings.
Conceptually, the tool applies a split operation, then optional post-processing steps such as trimming whitespace and discarding empty tokens. It exposes both simple usage (delimiter-based) and advanced usage (regex-based splits) to cover common data-cleaning tasks and text-processing pipelines. The core outputs are a tokens array and a numeric count, enabling downstream scripts or analytics to iterate over items efficiently. It is language-agnostic in concept; implemented logic mirrors common languages (e.g., JavaScript, Python) so users can map examples to their own code.
Who benefits: data practitioners, software engineers, QA analysts, and content teams needing quick tokenization for parsing, validation, or feature extraction. Unique value lies in its explicit handling of edge cases (empty tokens, max_splits, Unicode), its support for both simple and regex splits, and its privacy-friendly, local operation. Use cases include log parsing, CSV line tokenization, preprocessing for NLP, and data normalization for ETL pipelines.