Whitespace Analyzer Lucene

Tokenize text using a Lucene-style whitespace analyzer to split text into tokens with positions and offsets.

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Total Calculations Run

< 15ms

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100%

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About This Tool

This tool implements a whitespace analyzer similar to Apache Lucene's standard analyzer. It processes input text by splitting it on whitespace, removing punctuation, and converting to lowercase to produce tokens with detailed positional information. You can analyze text by pasting it directly or uploading a file (TXT, PDF, DOCX). The tool displays tokens, their positions, character offsets, and statistics like token count and average length, making it useful for NLP preprocessing, search engine development, and text analysis.

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How to Use

Paste your text into the text area or upload a file by clicking the upload zone.
Click the 'Analyze Text' button to process the input.
View the results showing tokens, positions, offsets, and statistics in the result section.
Use the 'Clear' button to reset the input and results for a new analysis.

Frequently Asked Questions

Find Quick Answers

What is a Lucene-style whitespace analyzer?

It's a text tokenizer that splits input on whitespace, removes punctuation, and converts tokens to lowercase, similar to Apache Lucene's standard analyzer used in search engines.

What file formats are supported for upload?

You can upload TXT, PDF, and DOCX files. The tool extracts text from these formats for analysis.

How are tokens and positions calculated?

Tokens are split by whitespace, with positions starting at 1 for the first token. Offsets show the start and end character indices in the original text.

Can I analyze large texts?

Yes, but for very large texts, performance may vary depending on your browser. The tool handles typical documents efficiently.

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