Text Analyzer

A text analyzer is an online tool that examines written text and provides statistical insights about it. It can count elements like words, characters, sentences, paragraphs and more, helping users understand the structure and length of their content. In essence, it breaks down your text and delivers instant metrics, which is useful for editing, compliance with length guidelines, or improving writing clarity.

• Real-Time Counting: The Text Analyzer updates the word, character, sentence, and line counts immediately as you type or paste text. It also refreshes the reading-time, readability, and keyword-density estimates without a submit button.
• Counts:
  • Characters: Counts every character in the text, including spaces and punctuation.
  • Words: Calculates the number of words by splitting text on whitespace.
  • Sentences: Estimates the number of sentences by identifying common sentence endings (., !, ?).
  • Lines: Calculates the number of lines by splitting text on newline character (\n).
  • Paragraphs: Counts paragraphs by identifying text blocks separated by blank lines.
• Average Word Length: Calculates the mean length of words (excluding punctuation).
• Average Sentence Length: Computes the average number of words per sentence.
• Punctuation Statistics: Tracks usage frequency of common punctuation marks (periods, commas, question marks, exclamation marks).
• Word frequency analysis: Shows the top 5 most frequently used non-stop words; numeric-only tokens are ignored.
• Reading time: Estimates reading time at 200 words per minute, rounded up to the next minute.
• Readability: Reports Flesch Reading Ease and Flesch-Kincaid grade level from estimated syllable counts; shows an em dash when no applicable English score is available.
• Keyword density: Reports the most frequent non-stop word and what percentage of all words it represents.
• Local file input: Click Upload File or drag a text file into the input; files are read in the browser and never uploaded.

1. Paste, type, or upload your text into the input field. Click Upload File to choose a local text file, or enter any length of text from a single sentence to multiple paragraphs.
2. View instant results - as you input the text, the tool will immediately display key statistics such as the character count, word count, sentence count, line count, reading time, readability, and keyword density. The results update in real time with each keystroke.
3. Analyze the output: Check if your content meets your requirements. Writers can ensure an article stays under a word limit, and students can verify the number of sentences in an essay.
4. Refine your text if needed, then copy the text or note the statistics as required. You can edit the text in the box to see how changes, like shortening or lengthening sentences, affect your counts instantly.
5. Optional: Reset or start a new analysis by clearing the text box. The tool often includes a "Reset" button to quickly clear the input field and let you analyze a new block of text without refreshing the page.

• Word count is approximate and may not handle all international writing systems perfectly.
• Sentence detection is basic and may not catch all edge cases, such as abbreviations with periods.
• Line count includes empty lines after trimming whitespace.
• Readability scores use an English-oriented syllable heuristic and are estimates for names, technical terms, and non-English text; an em dash means no applicable English score was available.
• Keyword density reports the most frequent non-stop word rather than every possible keyword or phrase, and ignores numeric-only tokens.

• 100% Client-Side Processing: All text analysis happens locally in your browser.
• No Data Storage: Your text is never saved or transmitted to any server.
• Offline Support: Works without an internet connection after the initial page load.
• Zero Data Collection: No cookies, tracking, or data persistence.
• Session Privacy: All text is cleared when you close the browser tab.

• Export Capabilities:
  • Export analysis results as CSV or PDF.
  • Save text with statistics for later reference.

Do you have any feature requests or any issues or bugs to report? Feel free to contact us!

Is the Text Analyzer tool free to use?

Yes. The CodeSamplez Text Analyzer is completely free to use. There are no fees or licenses required, and you do not need to sign up. Simply visit the tool page, paste your text, and get your analysis instantly.

Can the Text Analyzer handle large texts or word documents?

Yes. You can paste large amounts of text into the analyzer, and it will still provide results in real time. The tool is designed to handle everything from short paragraphs to lengthy essays. For very large documents, you might experience a brief processing delay, but it works quickly for most inputs. If you have a Word document, copy the text from the document and paste it into the tool's text box.

What's the difference between a text analyzer and a word counter?

A word counter typically counts the number of words, and often characters, in a text. A text analyzer provides a broader set of statistics. In addition to word count, the CodeSamplez Text Analyzer counts sentences and lines, estimates reading time, reports readability scores, and shows keyword density. In short, a text analyzer includes word counting as one of its features while giving you a more complete view of your text.

Does the Text Analyzer support multiple languages?

Yes, you can analyze text in any language for basic counts. The tool counts characters and whitespace-separated words regardless of language or script. Readability scores use an English-oriented syllable heuristic, so treat those estimates as approximate for non-English text.

Are the results from the Text Analyzer accurate?

The Text Analyzer uses straightforward algorithms for word and character counts. It treats words as whitespace-separated tokens, counts sentences using punctuation such as periods, question marks, and exclamation points, and estimates syllables for readability scoring. Automated tools can miss edge cases like abbreviations, ellipses, names, and technical terms, so readability and sentence metrics should be treated as helpful estimates.