Stem Words in Text

Reduce words to their root form instantly using the Porter Stemmer algorithm.

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Smart Stemming

Uses the advanced Porter Stemming algorithm to accurately find word roots.

Secure & Private

Processing is secure. We do not store or share your text data.

Format Preserved

Keeps your punctuation, spacing, and line breaks exactly as they are.

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Verb Forms

Convert different verb tenses to their base form.

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Plurals to Singular

Normalize plural nouns to singular form.

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Technical Terms

Reduce technical variations to root stems.

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Mixed Text

Stem words within a full sentence.

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Ultimate Guide: Stemming Words in Text

Stemming is the process of reducing inflected (or sometimes derived) words to their word stem, base, or root form. Our online text stemmer uses the industry-standard Porter Stemming algorithm to help you normalize text for analysis, search optimization, or linguistics.

For SEO & Analysis

Improve search relevance by grouping words with the same root. running, runs, and ran all become run, making keyword analysis much more effective.

For Developers

Pre-process text data for Natural Language Processing (NLP) tasks. Clean up user input, normalize tags, or prepare datasets for machine learning models without writing complex scripts.

What is the Porter Stemmer?

The Porter stemming algorithm is a process for removing the commoner morphological and inflexional endings from words in English. It allows you to reduce "fishing", "fished", and "fisher" to the root word "fish". It's widely used in information retrieval systems.