World's simplest browser-based utility for finding top letters in text. Load your text in the input form on the left and you'll instantly get the most common letters and the number of their uses in the output area. Powerful, free, and fast. Created by developers from team Browserling.
World's simplest browser-based utility for finding top letters in text. Load your text in the input form on the left and you'll instantly get the most common letters and the number of their uses in the output area. Powerful, free, and fast. Created by developers from team Browserling.
With this online tool, you can find the most popular letters in the given text and get statistics of their occurrence. The program splits the input text into individual letters, counts them, and displays the exact number of uses of each letter. For example, if you're working with English text, you'll find that the letter "e" is the most commonly used one and it occurs in about 13% of all texts, and the next two letters are "t" (9%) and "a" (8%). If you're working with a different language, then it will have a different letter frequency, and this tool can help you determine the language of the text based on the letter statistics. For example, in the French language, the most common letters are "e" (15%), "a" (8%), and "s" (7%), while in German they are "e" (17%), "n" (10%), and "i" (8%). If you switch to the "Statistics for All Characters" mode, then you can not only perform the analysis of letters but also other symbols and characters. When this mode is on, you'll get the number of repetitions of spaces, dots, punctuation marks, digits and numbers, and all other possible characters. You can also activate the "Case-insensitive Letters" option to convert all characters to lowercase before their statistics are calculated. Another feature of this tool is the ability to specify the group size for letters. This option allows you to analyze the distribution of bigrams, trigrams, and higher n-grams. For example, by specifying a group size of 2 for the word "coconut", the program will display the statistics for five letter pairs "co", "oc", "on", "nu", and "ut". For multi-word text, you can also choose between three different letter grouping modes. The first mode is called "Group Word Letters Together" and in this mode, the letters are turned into n-grams from a stream of all words combined together. For example, the text "cold tea" will be grouped as two-grams "co, ol, ld, dt, te, ea" or three-grams "col, old, ldt, dte, tea". In the next mode, called "Group Words Letters Separately", the letters are combined into groups only within the same word. For example, the text "cold tea" will be grouped as two-grams "co, ol, ld, te, ea" (the two-gram "dt" does not exist as "d" is the last letter of the word "cold" and the next letter "t" is only in the next word "tea") or three-grams "col, old, tea" (the three-grams "ldt" and "dte" don't exist as "l" and "d" are the last two letters of the word "cold"). And in the third mode, the letters are all grouped sequentially, similar to the first mode, but an empty spacer symbol "·" is inserted at the word boundary, visualizing the end (or beginning) of a word. For example, the text "cold tea" is grouped as two-grams "co, ol, ld, d·, ·t, te, ea" and as three-grams "col, old, ld·, d·t, ·te, tea". You can also choose how to display the letter statistics: by the number of uses (eg "c: 1"), by percentage (eg "c: 1 (12.5%)"), or as a fraction of total letters (eg "c: (1/8)"). Additionally, you can choose how to sort the output letters: by the number of uses (the most frequent letter is at the beginning), alphabetically (from a to z), or no sorting at all (letters are displayed in the order as they appear in the text). Textabulous!
With this online tool, you can find the most popular letters in the given text and get statistics of their occurrence. The program splits the input text into individual letters, counts them, and displays the exact number of uses of each letter. For example, if you're working with English text, you'll find that the letter "e" is the most commonly used one and it occurs in about 13% of all texts, and the next two letters are "t" (9%) and "a" (8%). If you're working with a different language, then it will have a different letter frequency, and this tool can help you determine the language of the text based on the letter statistics. For example, in the French language, the most common letters are "e" (15%), "a" (8%), and "s" (7%), while in German they are "e" (17%), "n" (10%), and "i" (8%). If you switch to the "Statistics for All Characters" mode, then you can not only perform the analysis of letters but also other symbols and characters. When this mode is on, you'll get the number of repetitions of spaces, dots, punctuation marks, digits and numbers, and all other possible characters. You can also activate the "Case-insensitive Letters" option to convert all characters to lowercase before their statistics are calculated. Another feature of this tool is the ability to specify the group size for letters. This option allows you to analyze the distribution of bigrams, trigrams, and higher n-grams. For example, by specifying a group size of 2 for the word "coconut", the program will display the statistics for five letter pairs "co", "oc", "on", "nu", and "ut". For multi-word text, you can also choose between three different letter grouping modes. The first mode is called "Group Word Letters Together" and in this mode, the letters are turned into n-grams from a stream of all words combined together. For example, the text "cold tea" will be grouped as two-grams "co, ol, ld, dt, te, ea" or three-grams "col, old, ldt, dte, tea". In the next mode, called "Group Words Letters Separately", the letters are combined into groups only within the same word. For example, the text "cold tea" will be grouped as two-grams "co, ol, ld, te, ea" (the two-gram "dt" does not exist as "d" is the last letter of the word "cold" and the next letter "t" is only in the next word "tea") or three-grams "col, old, tea" (the three-grams "ldt" and "dte" don't exist as "l" and "d" are the last two letters of the word "cold"). And in the third mode, the letters are all grouped sequentially, similar to the first mode, but an empty spacer symbol "·" is inserted at the word boundary, visualizing the end (or beginning) of a word. For example, the text "cold tea" is grouped as two-grams "co, ol, ld, d·, ·t, te, ea" and as three-grams "col, old, ld·, d·t, ·te, tea". You can also choose how to display the letter statistics: by the number of uses (eg "c: 1"), by percentage (eg "c: 1 (12.5%)"), or as a fraction of total letters (eg "c: (1/8)"). Additionally, you can choose how to sort the output letters: by the number of uses (the most frequent letter is at the beginning), alphabetically (from a to z), or no sorting at all (letters are displayed in the order as they appear in the text). Textabulous!
In this example, we find the 5 most used letters in a text fragment about life. We generate statistics for letters only, ignoring punctuation and whitespace characters, and turn the text to lowercase. As a result, we get each individual letter and the number of its occurrences in the text. To quickly determine the top 5 letters, we display the list in sorted order from the most frequent letter to the least frequent letter and look at the first five lines.
In this example, we combine letters into groups of two before calculating their popularity. Groups of size two are called "digrams" and to enable this mode, we enter "2" in the "group size" option. We also use the "Group Word Letters Separately" mode, and here the digrams are formed only within each separate word. In addition to the total number of uses of each digram in the text, we also print their percentage values and sort all digrams in alphabetical order.
In this example, not only do we find how often the letters occur in the given text but also analyze all other characters, including spaces, digits, and punctuation. We enable the case-insensitive mode, which generates statistics for lowercase and uppercase letters separately. We display the total count of each character on the screen and also include a fraction count that shows the character part in the total number of characters in the text.
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!
