Lemmatize a String
Reduce every word in a string to a dictionary base form. Runs entirely in your browser, so your data never leaves your device.
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Output
The result appears here as you type.
How to use Lemmatize a String
- 1. Paste your text. Enter a sentence or passage into the input pane. Each word is analyzed and reduced individually while punctuation and structure are preserved.
- 2. Read how each word is reduced. There are no settings; the tool maps each word to its dictionary base form, so studies becomes study, were becomes be, and better becomes good.
- 3. Copy the lemmatized text. Copy the reduced text from the output pane into your NLP pipeline, keyword list, or wherever you need words normalized to their base meaning rather than their surface form.
When to use Lemmatize a String
Lemmatize a String reduces every word to its dictionary base form, so different inflections like studies, studying and studied all collapse toward the same root. It differs from simple stemming by producing real dictionary words rather than a truncated stem.
- Normalizing search queries before matching. A search feature should treat running, ran and runs as the same underlying concept. Lemmatizing both the query and the indexed text before comparing improves recall.
- Preparing text for a bag-of-words model. A simple text classifier counts word frequency but treats inflected forms as separate features. Lemmatizing the corpus first collapses those variants into one count per lemma.
- Cleaning up keyword extraction results. An automated keyword extractor is producing near-duplicate keywords like studies and study as separate entries. Lemmatizing the source text first merges them into one.
- Studying verb tense usage in a text. You're analyzing writing style and want to see the underlying verbs used regardless of tense. Lemmatizing shows were and was both reducing to be.
Examples
Lemmatize each word
Input
studies were better
Output
study be good
About the Lemmatize a String tool
Lemmatize a String is a free online tool that works entirely inside your web browser. Reduce every word in a string to a dictionary base form. Because the processing happens on your own device, nothing you enter is uploaded, logged or stored anywhere.
This page is one of 159 String utilities on EditSafely. Each one does a single job well, and all of them follow the same rule: your input stays on your machine.
There is nothing to configure. Provide the input and the result appears on its own. A worked example further down the page shows exactly what the tool produces for a real input.
Because nothing leaves your device, the tool is suitable for sensitive content such as internal documents, credentials or customer data. It also responds instantly, since every keystroke is handled on your own machine rather than by a remote API.
Frequently asked questions
Is Lemmatize a String free to use?
Yes, it is completely free. All 2,658 tools on EditSafely work without an account, a subscription or usage limits.
Is it safe to paste sensitive or confidential data?
Everything happens locally. Your browser downloads the tool's code once, then does all the processing itself; nothing you enter is transmitted, stored or logged. You can even go offline after the page loads and it will still work.
How much text can I process at once?
There is no fixed limit. Because the work happens on your own device rather than on a shared server, the practical ceiling is your machine's memory, which comfortably handles inputs far larger than typical online tools allow.
Do I need to sign up or install anything?
No. The tool works in any modern browser on desktop, tablet or phone. There is no account to create, no extension to add and no software to install.
How do I use the result?
The output panel has a one-click copy button, and you can keep refining the input while you work; the result updates in place as you type.