🔍 Case-Specific Word Counter

Count occurrences of specific words in text with case-sensitive options, partial matching, and detailed statistics. Perfect for content analysis, keyword research, and text processing.

Your Result:

🔍 Word Count Analysis

📝 Sample Text
"The quick brown fox jumps over the lazy dog. The dog was very lazy, and the fox was quick."
🎯 Search Words
the, dog, fox, quick, lazy
📊 Word Count Results
the 3 occurrences
dog 2 occurrences
fox 2 occurrences
quick 2 occurrences
lazy 2 occurrences
📈 Analysis Summary
Total Words: 18
Search Terms: 5
Total Matches: 11
Match Rate: 61.1%
💾 Export Options

How to Use This Case-Specific Word Counter

Step-by-Step Word Counting Process:

  1. Paste your text into the main analysis textarea
  2. Enter the specific words you want to count (separated by commas or new lines)
  3. Choose case sensitivity option (match exact case or ignore case)
  4. Select whole words only to avoid partial matches (recommended)
  5. Enable position tracking to see where words appear in the text
  6. Click "Count Words" to analyze your text
  7. Review detailed results with counts and percentages
  8. Export results as CSV, JSON, or copy to clipboard
  9. Use position data for detailed text analysis and editing
  10. Analyze match rates and word frequency patterns

How It Works

Advanced Word Counting Algorithm:

Our case-specific word counter uses sophisticated text processing algorithms to accurately count word occurrences with customizable matching options. Here's how the analysis process works:

  1. Text Normalization: Processes input text while preserving original formatting and structure
  2. Search Term Parsing: Intelligently parses comma and newline-separated word lists
  3. Case-Sensitive Matching: Offers both exact case matching and case-insensitive searching
  4. Whole Word Detection: Uses word boundary algorithms to distinguish whole words from partial matches
  5. Position Tracking: Records exact character positions and contextual information for each match
  6. Statistical Analysis: Calculates frequencies, percentages, and match rates
  7. Context Extraction: Provides surrounding text context for better understanding
  8. Multi-Format Export: Generates results in multiple formats for different use cases

Matching Options:

  • Case Sensitive: Distinguishes between "Word" and "word" as different matches
  • Whole Words Only: Prevents partial matches (e.g., "cat" won't match "category")
  • Position Tracking: Records exact locations and surrounding context for each occurrence
  • Partial Matching: Allows substring matching within larger words when disabled

Statistical Features:

  • Occurrence Counts: Total number of matches for each search term
  • Percentage Analysis: Relative frequency of each word in the text
  • Match Rate Calculation: Overall percentage of text covered by search terms
  • Text Statistics: Total word count, unique words, and character analysis

When to Use This Case-Specific Word Counter

Essential Word Counting Applications:

  • Content Analysis: Analyze keyword density and frequency in articles, blogs, and web content
  • SEO Research: Track specific keyword usage and distribution across website content
  • Academic Research: Count occurrences of key terms in research papers and literature reviews
  • Social Media Analysis: Monitor hashtag usage and keyword mentions across social platforms
  • Brand Monitoring: Track brand name mentions and related terminology in text content
  • Survey Analysis: Count specific response terms and phrases in survey data
  • Document Review: Identify key term frequency in legal documents and contracts
  • Content Optimization: Ensure proper keyword distribution for SEO and readability
  • Competitor Analysis: Analyze competitor content for keyword usage patterns
  • Editorial Analysis: Track word usage patterns for consistency in writing style

Professional Use Cases:

  • Marketing Analytics: Measure campaign keyword effectiveness and message consistency
  • Quality Assurance: Verify terminology usage in technical documentation
  • Linguistic Research: Study word frequency patterns in different text types
  • Content Strategy: Optimize content for specific keyword targets and themes

Frequently Asked Questions

What's the difference between case-sensitive and case-insensitive counting?

Case-sensitive counting treats 'Word' and 'word' as different terms, counting them separately. Case-insensitive counting treats them as the same word and combines their counts. Use case-sensitive for exact matching or case-insensitive for general word frequency analysis.

When should I use 'Whole Words Only' versus partial matching?

Use 'Whole Words Only' (recommended) when you want to count complete words only - for example, searching for 'cat' won't match 'category'. Disable it for partial matching when you want to find word fragments or parts of compound words.

How does the position tracking feature work?

Position tracking records the exact character position where each word appears in your text, along with surrounding context. This is useful for detailed text analysis, editing, or understanding how words are distributed throughout your content.

Can I count multiple words at once?

Yes! Enter multiple words separated by commas or place each word on a new line. The tool will count all specified words simultaneously and provide individual results for each term, along with combined statistics.

What formats can I export the results in?

You can export results in three formats: plain text (via copy to clipboard), CSV format for spreadsheet analysis, and JSON format for programmatic use. Each format includes word counts, percentages, and summary statistics.

How accurate is the word counting algorithm?

Our algorithm uses advanced text processing with proper word boundary detection and Unicode support. It accurately handles punctuation, special characters, and different languages while providing precise counts and statistical analysis.

Is there a limit to text length or number of search words?

The tool processes text entirely in your browser for privacy. Practical limits depend on your device's memory, but it can typically handle documents with thousands of words and dozens of search terms efficiently.