Sentence Splitter

This tool analyzes input text and detects sentence boundaries to produce an ordered list of sentences. It is designed for developers performing NLP preprocessing, editors preparing content, and researchers building datasets. It supports language-specific rules, handles common abbreviations, and can operate in minimal or enhanced modes.

Conceptually, the tool uses a combination of pattern-based heuristics and optional language-aware rules to identify end-of-sentence marks, while avoiding splits after initials and common abbreviations. It returns a clean list of boundary-delimited sentences with optional start offsets.

Key features include a configurable language, a user-provided abbreviation dictionary, optional maximum sentence count, trimming and whitespace normalization, and export-ready formats suitable for downstream pipelines. Use cases include preprocessing for summarization, sentiment analysis, annotation workflows, and large-scale text analytics. Benefits include deterministic boundaries, reproducible results, and efficient handling of large corpora.