TextSTAT

TextSTAT

TextSTAT is a free text analysis software that allows users to analyze text documents for statistics like word count, keyword density, readability scores, and more. It supports many text formats and offers easy-to-understand visual representations of analysis results.
TextSTAT image
text-analysis statistics word-count readability

TextSTAT: Free Text Analysis Software

TextSTAT is a free text analysis software that allows users to analyze text documents for statistics like word count, keyword density, readability scores, and more. It supports many text formats and offers easy-to-understand visual representations of analysis results.

What is TextSTAT?

TextSTAT is a free and open-source text analysis software for Windows. It allows users to analyze text documents such as essays, research papers, articles, reports, books, and more for useful statistics. Some of the key features of TextSTAT include:

  • Word count statistics like total words, sentences, paragraphs, unique words, longest words, short words, etc.
  • Readability scores including Flesch Kincaid Reading Ease, Flesch Kincaid Grade Level, Coleman Liau Index, SMOG Index, Automated Readability Index, etc.
  • Keyword and keyphrase density analysis
  • Most frequent words and phrases
  • Word frequency distribution and histogram
  • Word cloud visualization
  • Sentiment analysis with positive, negative and neutral word categorization
  • Supports many text formats including DOC, DOCX, PDF, HTML, TXT, RTF
  • Clean and intuitive user interface
  • Completely ad-free and no signups required

TextSTAT offers very comprehensive text statistics and analysis while being easy enough for casual everyday users. Writers, researchers, content creators will find great value in using TextSTAT to analyze and improve their texts. The tool being completely free makes it very accessible for anyone looking to analyze long text documents.

TextSTAT Features

Features

  1. Word count
  2. Character count
  3. Syllable count
  4. Keyword density
  5. Readability scores
  6. Lexical diversity
  7. Part-of-speech tagging
  8. Sentiment analysis
  9. Topic modeling
  10. Text summaries

Pricing

  • Free
  • Open Source

Pros

Free to use

Easy to use interface

Supports many text formats

Good for basic text analysis

Visual representations of results

Cons

Limited advanced analysis features

Not suitable for large datasets

No collaboration features

No integration with other tools


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