World's simplest browser-based utility for calculating text entropy. Load your text in the input form on the left and you'll instantly get Shannon's entropy value in the output area. Powerful, free, and fast. Created by developers from team Browserling.
World's simplest browser-based utility for calculating text entropy. Load your text in the input form on the left and you'll instantly get Shannon's entropy value in the output area. Powerful, free, and fast. Created by developers from team Browserling.
With this online tool, you can calculate the entropy of the entire text, multiple text lines, or paragraphs. The tool is based on the concept of Shannon's entropy, which is a measure of the amount of uncertainty or randomness in a set of symbols. To calculate the entropy of the given text, the algorithm first counts the frequency of each symbol in the text. It then uses these frequencies to calculate the probability of each symbol appearing in the text. Once the probability of each character is known, the algorithm applies Shannon's entropy formula, which looks like this: H = -Σp(x)log2p(x), where H is the entropy, p(x) is the probability that character x will appear in the text, and log2 is the base 2 logarithm. The result is a single number representing the entropy of all text symbols. A higher entropy value indicates that the text contains more randomness or unpredictability, while a lower entropy value indicates that the text is more structured or predictable. The program can calculate a single entropy score for all text that's in the input area, find multiple individual entropies for each line of the text, or calculate the entropy for each separate paragraph. You can switch to each of these entropy calculation modes in the options. You can also adjust the entropy precision by specifying the number of digits after the decimal point in the precision option. Textabulous!
With this online tool, you can calculate the entropy of the entire text, multiple text lines, or paragraphs. The tool is based on the concept of Shannon's entropy, which is a measure of the amount of uncertainty or randomness in a set of symbols. To calculate the entropy of the given text, the algorithm first counts the frequency of each symbol in the text. It then uses these frequencies to calculate the probability of each symbol appearing in the text. Once the probability of each character is known, the algorithm applies Shannon's entropy formula, which looks like this: H = -Σp(x)log2p(x), where H is the entropy, p(x) is the probability that character x will appear in the text, and log2 is the base 2 logarithm. The result is a single number representing the entropy of all text symbols. A higher entropy value indicates that the text contains more randomness or unpredictability, while a lower entropy value indicates that the text is more structured or predictable. The program can calculate a single entropy score for all text that's in the input area, find multiple individual entropies for each line of the text, or calculate the entropy for each separate paragraph. You can switch to each of these entropy calculation modes in the options. You can also adjust the entropy precision by specifying the number of digits after the decimal point in the precision option. Textabulous!
In this example, we paste a short sentence with a limited character set. This sentence contains only 8 unique symbols (I, w, r, o, t, e, a, and n), three of which are repeated twice. As a result, we get a relatively low entropy score, equal to 3.03915.
In this example, we use our entropy calculator to test the strength of various passwords. To find the entropy of several strings at the same time, we activate the "Find Entropy for Each Line" mode and in the output, we see that the longer the password, and the more unique characters it has, the greater its entropy value.
In this example, we insert two identical paragraphs about the Mona Lisa painting, written in different character sets. The first paragraph uses lowercase and uppercase letters, numbers, a hyphen, a dot, and bold characters from another computer font. The second paragraph is written only in lowercase Latin letters. As a result, we see that the first paragraph has an entropy value that's higher by 0.6 than the second paragraph. The reason for this score difference is that the first paragraph has a wider character set.
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!
