World's simplest browser-based utility for finding top words in text. Load your text in the input form on the left and you'll instantly get the most common words 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 words in text. Load your text in the input form on the left and you'll instantly get the most common words 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 common words in any text. The program runs through all the words in the text and in the output, it prints the count of their occurrences. The information about the most popular words often gives clues about the topic, language, and purpose of the text. For example, if the most common words are "disco", "music", and "dance", then it's most likely text about dancing. If the most common words are "the", "a", and "is", then the text is most likely written in the English language, and if the most common word are "di", "che", and "la", then the text is most likely in Italian. Even the information about a single word can tell a lot about the text. For example, if the most popular word in the text is "charity", then most likely the purpose of the text is to help those who need it. In addition to printing single-word statistics, this tool can also analyze the frequency of multi-word phrases in the text. You can choose to analyze combinations of two, three, or more words, and the tool will display the distribution of n-word groups. For example, if the input text is "Owls hoot in the dark." then the program will generate four word pairs (also called word bigrams) – "Owls hoot", "hoot in", "in the", and "the dark", and if the word group size is 3 (called word trigrams), then there will be three word triplets – "Owls hoot in", "hoot in the", and "in the dark". You can also choose in the options (via the "Stop at Sentence Boundary") whether to create a stream of words from neighboring sentences to form joint groups or not. For example, if the input text is "Long cat is red. Short cat is black.", then with this option on, the bigrams would be "Long cat", "cat is", "is red", "Short cat", "cat is", "is black". But with this option off, the full-stop is ignored and the bigrams would be "Long cat", "cat is", "is red", "red Short", "Short cat", "cat is", "is black". In this example, the words maintained their sentence case but by enabling the "Ignore Word Case" option, you can analyze all words in lowercase. You can also exclude or replace punctuation marks in the text before analysis. For example, if a word is wrapped in parentheses "(owl)" then you can remove the parentheses by entering them in the "Punctuation to Delete" option. If a word contains internal punctuation, such as hyphenation in the word "full-scale", then you can replace the hyphen "-" with a space and analyze this word as two separate words "full" and "scale". In addition to the total number of words in the text, you can also display their usage percentage and print a fractional representation of each word's number of uses relative to the total number of words in the text. Additionally, you can sort the output words alphabetically or by the usage counts. Textabulous!
With this online tool, you can find the most common words in any text. The program runs through all the words in the text and in the output, it prints the count of their occurrences. The information about the most popular words often gives clues about the topic, language, and purpose of the text. For example, if the most common words are "disco", "music", and "dance", then it's most likely text about dancing. If the most common words are "the", "a", and "is", then the text is most likely written in the English language, and if the most common word are "di", "che", and "la", then the text is most likely in Italian. Even the information about a single word can tell a lot about the text. For example, if the most popular word in the text is "charity", then most likely the purpose of the text is to help those who need it. In addition to printing single-word statistics, this tool can also analyze the frequency of multi-word phrases in the text. You can choose to analyze combinations of two, three, or more words, and the tool will display the distribution of n-word groups. For example, if the input text is "Owls hoot in the dark." then the program will generate four word pairs (also called word bigrams) – "Owls hoot", "hoot in", "in the", and "the dark", and if the word group size is 3 (called word trigrams), then there will be three word triplets – "Owls hoot in", "hoot in the", and "in the dark". You can also choose in the options (via the "Stop at Sentence Boundary") whether to create a stream of words from neighboring sentences to form joint groups or not. For example, if the input text is "Long cat is red. Short cat is black.", then with this option on, the bigrams would be "Long cat", "cat is", "is red", "Short cat", "cat is", "is black". But with this option off, the full-stop is ignored and the bigrams would be "Long cat", "cat is", "is red", "red Short", "Short cat", "cat is", "is black". In this example, the words maintained their sentence case but by enabling the "Ignore Word Case" option, you can analyze all words in lowercase. You can also exclude or replace punctuation marks in the text before analysis. For example, if a word is wrapped in parentheses "(owl)" then you can remove the parentheses by entering them in the "Punctuation to Delete" option. If a word contains internal punctuation, such as hyphenation in the word "full-scale", then you can replace the hyphen "-" with a space and analyze this word as two separate words "full" and "scale". In addition to the total number of words in the text, you can also display their usage percentage and print a fractional representation of each word's number of uses relative to the total number of words in the text. Additionally, you can sort the output words alphabetically or by the usage counts. Textabulous!
In this example, we apply our word popularity analysis algorithm on a small text fragment about coffee (our favorite drink). We remove the punctuation (period and comma), replace the apostrophe with a space (so that the word "it's" is analyzed as two separate words "it" and "s"), and convert all words to lowercase. As a result, we get the word popularity statistics ordered by word count and as expected, we immediately see that the most popular word in the text is "coffee".
In this example, we explore the frequency of word triplets in a popular song. To do this, we load the chorus of the song "Say My Name" by David Guetta, Bebe Rexha, and J Balvin and set the word group size to "3". To make sure the words are grouped only within the sentences they appear in, we enable the "Stop at Sentence Boundary" option. We also remove the punctuation marks and display the frequency of word triplets as a fraction of the total triplets in the text, sorted in alphabetical order.
In this example, we use our utility to determine the language of the given text. We analyze the information about individual words without punctuation and in lowercase and to make it easier to interpret the results, we add a percentage value to the sorted output statistics. We see that the most used word in the text is "di" (appears in 5.38% of all words), which is a good indicator that this text is in Italian.
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!
