World's simplest browser-based utility for analyzing text and printing its statistics. Load your text in the input form on the left and you'll instantly get the analysis of its length, complexity, character and word composition, their frequency, and other interesting information in the output area. Powerful, free, and fast. Created by developers from team Browserling.
World's simplest browser-based utility for analyzing text and printing its statistics. Load your text in the input form on the left and you'll instantly get the analysis of its length, complexity, character and word composition, their frequency, and other interesting information in the output area. Powerful, free, and fast. Created by developers from team Browserling.
With this online tool, you can find statistical information about the given text. The program takes any text as the input and decomposes it into smaller and smaller units – paragraphs, sentences, lines, words, characters, letters, and numbers. It then analyzes them and displays the summary information about all these parts of the text on the screen. For ease of use, the information about the text is separated into blocks that you can show or hide using several checkboxes in the options. The first such block is "Text Length" and there's a checkbox with the same name that toggles it. This block includes information about the length of the text and its smaller components. It shows the number of characters, words, lines, sentences, and paragraphs in the text. The next block is called "Text Entropy" and it displays the entropy value for the given text. Entropy is a measure of the amount of randomness and disorder in the text. A higher entropy value indicates greater complexity of the text. The next block, "Fake Text Status," indicates whether the entered text is genuine or has been spoofed. It works with English text only and the text is considered to be fake if it contains visually similar characters to regular keyboard characters. Such characters are found in various Unicode fonts. The program prints the fake or genuine status of the text and if there are any fake characters in it, then it also prints them on the screen. The next block in the options analyzes and displays the word statistics. In particular, the "Number of Words" checkbox displays the total number of words in the input text. It also prints the number of unique words in the text (case-insensitive and case-sensitive), the number of contracted words (such as "they'll"), and the number of words written with hyphens (such as "mind-blowing"). The "Word Set" checkbox displays the various word sets used in the text. In this section, the program categorizes the words according to their type, and here, you'll find all conjunctions, prepositions, articles, contracted words, hyphenated words, numbers, weird words (such as "sun4all"), and all other words. The last checkbox for word analysis is called "Full Word Frequency". It displays the frequency of each word in the text. The words in this section are listed in sorted order from the most popular word to the least popular. Additionally, each word's percentage of appearance in the text is shown in parentheses. The next block in the options lets you find various character statistics of the text. The first option here is called "Number of Characters". When this option is activated, you can see the total number of characters in the text, non-whitespace characters, letters, uppercase letters, lowercase letters, digits, whitespaces, space, tabs, newlines, vowels, and consonants. The "Character Set" finds all the sets of characters used in the text and they are sorted into categories: uppercase letters, lowercase letters, numbers, ASCII symbols (having character code values from 0 to 127), extended ASCII symbols (with character code values from 127 to 255), and Unicode symbols (having code point values greater than 255). Finally, the last option for character analysis is called "Full Character Frequency." It counts the number of occurrences of each character, calculates their percentage of use in the text, and displays the statistics in a sorted list with the most frequently used characters at the top and rarest characters at the bottom. Textabulous!
With this online tool, you can find statistical information about the given text. The program takes any text as the input and decomposes it into smaller and smaller units – paragraphs, sentences, lines, words, characters, letters, and numbers. It then analyzes them and displays the summary information about all these parts of the text on the screen. For ease of use, the information about the text is separated into blocks that you can show or hide using several checkboxes in the options. The first such block is "Text Length" and there's a checkbox with the same name that toggles it. This block includes information about the length of the text and its smaller components. It shows the number of characters, words, lines, sentences, and paragraphs in the text. The next block is called "Text Entropy" and it displays the entropy value for the given text. Entropy is a measure of the amount of randomness and disorder in the text. A higher entropy value indicates greater complexity of the text. The next block, "Fake Text Status," indicates whether the entered text is genuine or has been spoofed. It works with English text only and the text is considered to be fake if it contains visually similar characters to regular keyboard characters. Such characters are found in various Unicode fonts. The program prints the fake or genuine status of the text and if there are any fake characters in it, then it also prints them on the screen. The next block in the options analyzes and displays the word statistics. In particular, the "Number of Words" checkbox displays the total number of words in the input text. It also prints the number of unique words in the text (case-insensitive and case-sensitive), the number of contracted words (such as "they'll"), and the number of words written with hyphens (such as "mind-blowing"). The "Word Set" checkbox displays the various word sets used in the text. In this section, the program categorizes the words according to their type, and here, you'll find all conjunctions, prepositions, articles, contracted words, hyphenated words, numbers, weird words (such as "sun4all"), and all other words. The last checkbox for word analysis is called "Full Word Frequency". It displays the frequency of each word in the text. The words in this section are listed in sorted order from the most popular word to the least popular. Additionally, each word's percentage of appearance in the text is shown in parentheses. The next block in the options lets you find various character statistics of the text. The first option here is called "Number of Characters". When this option is activated, you can see the total number of characters in the text, non-whitespace characters, letters, uppercase letters, lowercase letters, digits, whitespaces, space, tabs, newlines, vowels, and consonants. The "Character Set" finds all the sets of characters used in the text and they are sorted into categories: uppercase letters, lowercase letters, numbers, ASCII symbols (having character code values from 0 to 127), extended ASCII symbols (with character code values from 127 to 255), and Unicode symbols (having code point values greater than 255). Finally, the last option for character analysis is called "Full Character Frequency." It counts the number of occurrences of each character, calculates their percentage of use in the text, and displays the statistics in a sorted list with the most frequently used characters at the top and rarest characters at the bottom. Textabulous!
In this example, we perform a lightweight analysis of the text about giraffes and display only the main information about it. The output shows that the text has a length of 125 characters and contains 25 words. The text consists of one line (and it's the only non-empty line), and there's one sentence. The text entropy value is 4.2374, indicating that the text is quite unpredictable and of moderate complexity. The analysis also states that the text is not fake (it only contains simple ASCII characters and there are no homoglyphs).
In this example, we output absolutely all possible statistics about the text. We select all available checkboxes in the options, resulting in a comprehensive analysis of the text that includes the text length, its complexity, spoofed text status, number of words and symbols, categories of words and symbols, and word and character frequencies.
This example does the detective's work to find the status of the given text's fakeness. To determine whether the text is fake or not, it uses the "Fake Text Status" option, and to find out exactly which characters are the fake ones, it uses the "Character Set" option. As a result of the analysis, we can see that the letters "Таеорѕі․" are fake and are taken from the Unicode table (above code point values 255).
In this example, we conduct a deep analysis of the words in a quote by F. Scott Fitzgerald. First, we output the total number of words, unique words, words with apostrophes, and words with hyphens. Then we print sets of words according to their category (conjunctions, prepositions, articles, etc.). Finally, we display the complete statistics of word usage in the text along with their absolute and relative usage counts.
In this example, we perform a deep analysis of the character composition of a sentence. The analysis gives us the exact count of letters (uppercase and lowercase), whitespaces, digits, vowels, and consonants. It also shows from which computer character sets the symbols are taken (in our case, all symbols are from the ASCII table). Additionally, it prints the complete statistical analysis of character frequencies in the text that shows the total count of character usage and their relative occurrence in percentage. In our case, the top 4 most popular characters are "i" (appears 12.28% of the time), "⎵" (that's a space – and it appears also 12.28% of the time), "t" (appears 8.77% of the time), and "e" (appears also 8.77% of the time).
In this example, we load fun and character-rich text as the input and run character analysis on it. As the text contains many non-Latin letters, including Emojis, we activate the "Character Set" checkbox to determine where these symbols are from. We find that the characters " HWacdefhilnoprstvwy" are from the ASCII character set (code points 0-127), the characters "Àéîü" are from the Extended ASCII character set (code points 127-255), and the characters "𝕻𝖂🌲🌳🌿🍯🐝🐻" are Unicode Characters (code points 255+).
You can pass input to this tool via ?input query argument and it will automatically compute output. Here's how to type it in your browser's address bar. Click to try!
Find Levenstein distance of two text fragments.
Create a list of all words in text.
Lemmatize all words in text.
Apply stemming to all words in text.
Add color to punctuation symbols in text.
Add color to letters in text.
Add color to words in text.
Add color to sentences in text.
Add color to paragraphs in text.
Add slight perturbations to the given text.
Mess up characters in your text.
Generate text using random words.
Generate lorem ipsum placeholder text.
Generate a crossword puzzle from the given words.
Convert English text to Braille writing system.
Convert Braille symbols to English text.
Convert text characters to their corresponding code points.
Convert numeric character code points to text.
Convert CSV data to plain text columns.
Convert plain text columns to a CSV file.
Create a list of all 3-grams.
Encode the entire text to a single number.
Decode text that was encoded as a number back to text.
Divide text into chunks of certain size.
Apply formatting and modification functions to text.
Count the number of punctuation marks and other sybmols in text.
Count the number of letters in text.
Count the number of sentences in text.
Count the number of paragraphs in text.
Apply text transformation rules to any text.
Analyze text for interesting patterns.
Add accent marks to text letters.
Add a counter before every letter in text.
Add a counter before every word in text.
Add a counter before every sentence in text.
Add a counter before every paragraph in text.
Interleave the letters or words of the given text fragments.
Mess up the spacing between letters in any text.
Extract all emails from text.
Extract all URLs from text.
Extract all numbers from text.
Extract all countries from text.
Extract all cities from text.
Convert text to punycode.
Convert punycode to text.
Encode text to Baudot encoding.
Decode Baudot-encoded text.
Encode text to base32 encoding.
Decode base32-encoded text.
Encode text to base45 encoding.
Decode base45-encoded text.
Encode text to base58 encoding.
Decode base58-encoded text.
Encode text to Ascii85 encoding.
Decode Ascii85-encoded text.
Encode text to base65536 encoding.
Decode base65536-encoded text.
Encode text to nettext encoding.
Decode nettext-encoded text.
Convert written text into natural sounding voice.
Convert a voice recording to text.
Encode text to UTF8 encoding.
Decode UTF8-encoded text.
Encode text to UTF16 encoding.
Decode UTF8-encoded text.
Encode text to UTF32 encoding.
Decode UTF32-encoded text.
Encode text to IDN.
Decode IDN-encoded text.
Convert text to Unix-to-Unix encoding.
Decode Unix-to-Unix-encoded text.
Convert text to Xxencoding.
Decode Xxencoded text.
Encode text to QP encoding.
Decode QP-encoded text.
Remove all HTML tags from Text.
Remove all XML tags from Text.
Remove new line symbols from the end of each text line.
Find the difference between two text fragments.
Generate various text typos.
Generate a mirror reflection of text.
Cut out a piece of text.
Grep text for regular expression matches.
Extract first symbols, words, or lines from text.
Extract last symbols, words, or lines from text
Return the first letter of each word in text.
Make every paragraph to be two paragraphs in the given text.
Create an image from all words in text.
Create a circle from all letters in text.
Create a spiral from all letters in text.
Create a circle from all words in text.
Create a matrix of any dimensions from letters in text.
Create a matrix of any dimensions from words in text.
Create a spiral from all words in text.
Split the input text into syllables.
Write any text on an LCD display (with LCD font).
Convert text to 2-dimensional drawing.
Convert text to 3-dimensional drawing.
Create a horizontally or vertically scrolling text.
Create a GIF animation of a text message.
Create a GIF animation that slowly reveals a text message.
Decode text using the wrong encoding and create garbled text.
Try to find original text from garbled mojibaked text.
Make text harder to read.
Generate the entire alphabet from a to z.
Print the alphabet in random order.
Delete swear words from text.
Edit text in a neat browser-based editor.
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We're Browserling — a friendly and fun cross-browser testing company powered by alien technology. At Browserling we love to make people's lives easier, so we created this collection of online text tools. Our tools are focused on getting things done and as soon as you load your text in the input of any of our tools, you'll instantly get the result. Behind the scenes, our online text tools are actually powered by our web developer tools that we created over the last couple of years. Check them out!
