Client-Side Text Analysis: Sentiment, Summaries, and Keywords

Not every text task needs a large language model. For quick polarity checks, bullet summaries, or SEO term lists, lightweight algorithms running locally are faster, free, and private.

Sentiment with AFINN

The Text Sentiment Analyzer maps tokens to an embedded AFINN subset and returns a compound score plus matched words. Use it for review triage or copy QA without API keys.

Extractive summaries

The Text Summarizer ranks sentences by term frequency and position, then returns the top N in original order. No paraphrasing — ideal when fidelity to source wording matters.

TF-IDF keywords

The Keyword Extractor strips stopwords and ranks terms with sentence-level IDF. Paste a blog draft or product page to preview tags before publishing.

All three tools share the same client-side text pipeline — nothing leaves your device.