A Swift library implementing the TextRank algorithm for automatic text summarization and keyword extraction.
Reductio is a Swift library that implements the TextRank algorithm for automatic text summarization and keyword extraction. It helps developers analyze and extract meaning from text by identifying key sentences and relevant keywords efficiently. Built with Swift 6's strict concurrency, it offers a modern and safe way to process text data.
Swift developers building applications that require text analysis, such as news apps, SEO tools, academic research software, or chatbots. It's particularly useful for iOS, macOS, tvOS, and watchOS developers.
Developers choose Reductio for its pure Swift implementation, zero dependencies, and full Swift 6 concurrency compliance. It provides high-performance text processing with modern APIs like async/await, making it a reliable and efficient choice for text analysis tasks.
Automatic summarizer text in Swift
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Efficiently handles documents up to 10,000+ words with processing times around 500ms, as shown in the performance table, making it suitable for most text analysis tasks.
Built with full Swift 6 strict concurrency compliance, ensuring safe and modern asynchronous operations with native async/await support, which is highlighted in the features.
Pure Swift implementation with no external dependencies, simplifying integration and reducing project bloat, as mentioned in the core capabilities.
Provides value semantics with immutable structs and convenient String extensions, offering a clean and intuitive API for developers, as evidenced in the usage examples.
Optimized primarily for English, with the README noting it as 'Optimized for English,' which may affect accuracy for other languages without additional customization.
While efficient for up to 10,000 words, the library admits performance degradation for larger documents, suggesting chunking, which adds complexity for very large texts.
Exclusively supports Apple platforms (iOS, macOS, etc.), making it unsuitable for cross-platform or server-side Swift projects not targeting these ecosystems.