Skip to main content

Count Words in Text

Normalize whitespace and validate text structure. Use regex-based parsing to count characters, sentences, and paragraphs with strict accuracy.

1
2

Please configure parameters and execute the action.

About Count Words in Text


Count the number of words in your text with options to ignore specific words and to count all words or only unique words. You can choose case-sensitive handling for both the ignore list and for counting unique words. Useful for writing goals, document analysis, and text statistics.

Features


The Count Words in Text tool provides the following features:

  • Words to Ignore - Exclude specific words from the count (one word per line).
  • Case Sensitive Ignore - Match ignored words strictly by case.
  • Count All or Unique - Count every word or only distinct words.
  • Case Sensitive Counting - Treat different capitalizations as different words when counting unique.
  • Easy to Use - Paste text, set options, and get the count with one click.
  • Copy-Friendly Output - Copy the result for use elsewhere.

Examples


  • Count All Words
    Input:
    "hello world hello"
    
    Words to ignore: (empty)
    Counting mode: Count All Words
    
    Output:
    Total words: 3
  • Count Unique Words
    Input:
    "Hello hello HELLO"
    
    Counting mode: Count Unique Words
    Case Sensitive Counting: Yes
    
    Output:
    Unique words: 3
  • With Words to Ignore
    Input:
    "the cat and the dog"
    
    Words to ignore:
    the
    and
    
    Output (Count All):
    Total words: 3 (cat, dog counted once each)

Real-World Usage Scenarios


  • SEO Content Audits - Analyzing Vocabulary Density - Digital marketers use the unique word count mode to assess the lexical richness of an article. By ignoring common stop words like 'the' or 'and', SEO specialists can identify the core keyword distribution and ensure the content isn't overly repetitive.
  • Academic Submissions - Managing Strict Word Limits - Graduate students often face strict word counts for abstracts or thesis summaries. This tool allows them to input their text and exclude citations or specific headers from the final count, providing an accurate metric for submission requirements.
  • Legal and Translation Services - Professional Billing - Translators and legal editors use the 'Words to Ignore' feature to exclude boilerplate text, legal citations, or non-translatable codes. This ensures that billing is based strictly on the actual content requiring manual processing.
  • Coding and Documentation - Data Sanitization - Developers use the case-sensitive counting mode to analyze documentation or log files. By distinguishing between technical terms (e.g., 'ID' vs 'id'), they can accurately count variable occurrences or specific command usage within large text blocks.

Frequently Asked Questions


What is the difference between total words and unique words?

Total words counts every single word in the text. Unique words only counts distinct terms once, regardless of how many times they appear. This is useful for analyzing vocabulary variety.

How do I exclude specific terms from the count?

Enter the words you want to skip in the 'Words to Ignore' field, placing each word on a new line. The tool will automatically subtract these occurrences from the final result.

Does the tool distinguish between capitalized and lowercase words?

Yes, if you enable 'Case Sensitive Counting'. For example, 'Market' and 'market' will be treated as two separate unique words. If disabled, they are counted as the same word.

Can I ignore words based on their specific case?

Yes. By enabling 'Case Sensitive Ignore', the tool will only skip words that exactly match the capitalization used in your ignore list.

Text Tools
Other tools you might like
Write Text in Cursive
Map Latin characters to Unicode cursive glyphs. The logic handles Mathematical Alphanumeric exceptions to ensure cross-platform compatibility and parsing.
Visualize Text Structure
Parse string architecture into vector graphics. Map tokens, whitespace, and punctuation to distinct hex layers. Export precise SVG schematics for analysis.
Unwrap Text Lines
Parse and sanitize string buffers by mapping hard breaks to custom separators. Employs paragraph-aware logic to maintain semantic data integrity.
Undo Zalgo Text Effect
Parse corrupted strings to strip non-spacing marks. Normalize Unicode input by removing recursive combining characters. Restore data integrity now.
Sort Symbols in Text
Parse and normalize character sequences via Unicode point values. Sanitize strings using skip lists, case logic, and duplicate removal for clean datasets.
Rotate Text
Shift characters cyclically across strings. Map offsets to reformat multiline structures with line-by-line logic. Normalize text for data schemas.
ROT47 Text
Shift printable ASCII characters by 47 positions to obfuscate sensitive strings. Implement symmetric mapping for range 33-126 to ensure data integrity.
ROT13 Text
Parse and shift alphabetic characters 13 positions. Maintain case sensitivity and non-letter integrity for spoiler protection or data obfuscation.
Rewrite Text
Sanitize datasets with custom mapping and whole-word logic. Apply recursive double-pass processing to clean whitespace. Normalize your data structure.
Replace Words with Digits
Normalize datasets by mapping verbal numbers to digits. Sanitize text with case-sensitive matching and whole-word logic for secure data ingestion.
Replace Text Vowels
Map specific vowel patterns using custom substitution logic. Supports case-sensitive matching and secondary passes to sanitize or obfuscate string data.
Replace Text Spaces
Normalize datasets by converting tabs, newlines, and spaces into custom symbols. Collapse whitespace clusters to ensure strict character counts.
Replace Text Letters
Normalize strings using custom character rules. Execute case-sensitive matching and recursive replacement passes to ensure data integrity. Export clean results.
Replace Text Consonants
Map consonants to custom characters using iterative substitution rules. Sanitize strings with case-sensitive precision for technical datasets and linguistics.
Replace Line Breaks in Text
Sanitize raw data by mapping CRLF sequences to custom delimiters. Collapse repeated breaks and trim whitespace to ensure valid dataset parsing.
Replace Digits with Words
Map numeric sequences to cardinal words. Parse standalone digits or specific patterns. Optimized for TTS data prep and document sanitization logic.
Replace Commas in Text
Parse and reformat datasets by mapping commas to custom symbols. Logic-aware processing preserves numeric separators while collapsing redundant clusters.
Remove Text Letters
Parse raw strings to eliminate specific character sets. This utility handles case-sensitive matching and collapses redundant whitespace for clean datasets.
Remove Text Font
Sanitize stylized Unicode glyphs into standard Latin script. Parse decorative fonts for screen reader accessibility and database safety [UTF-8].
Remove Quotes from Words
Strip leading and trailing quotation marks from individual words. Recursive logic handles nested delimiters in SQL, JSON, and CSV datasets efficiently.