World's simplest browser-based utility for rewriting text. Load your text in the input form on the left, enter the transformation rules, and you'll instantly get rewritten text in the output area. Powerful, free, and fast. Load text – rewrite text. Created by developers from team Browserling.
World's simplest browser-based utility for rewriting text. Load your text in the input form on the left, enter the transformation rules, and you'll instantly get rewritten text in the output area. Powerful, free, and fast. Load text – rewrite text. Created by developers from team Browserling.
With this online tool, you can rewrite letters, digits, symbols, and words in any text using special transformation and rewriting rules. In particular, you can replace a letter with another letter, replace a letter with a symbol (and vice-versa), add a letter or a symbol between other letters and symbols, delete substrings from text, and remove and replace words. All rules follow the format "from=to". For example, the simple rule "and=&" will replace all words "and" in the given text with the ampersand character, the "%=" rule will remove all percent characters, the " =\t" rule will replace all spaces with tabs, and the "=_" rule will insert an underscore between each text character. All transformation rules must be specified in the multi-line field in the options, and it's important to put each rule on a new line. To rewrite tabs, use the character "\t" and to rewrite newlines (line breaks) use the character "\n". If you want to modify full words in the text (and not just substrings), then the "Rewrite Only Full Words" option will be useful. If this option is turned on, then in a rule "from=to" the "from" part will match only a full word. For example, if you enter a rule "the=a" and the text is "the theory", then with this option turned off you'll get "a aory" but if the option is turned on you'll get "a theory". There is also an additional option called "Clean-up Whitespace", which allows you to get rid of any extra spaces formed after deleting a full word. For example, if you have a sentence "the grass is green", and you have a rule "is=" (delete the word "is"), then if this option is turned off, the output will have two consecutive spaces "the grass⎵⎵green", but if this option is turned on, then the output will have clean spacing "the grass⎵green". If your text contains both uppercase and lowercase letters, and you only want to rewrite only one of them, then the "Case Sensitive Rules" option will be useful. The program also offers an extra option called "Double Rewriting" which reads one rule after another and if a replacement is performed, then it repeats the rules again from the start. For example, if a two replacement rule system "e=E" and "E=*" is executed on the text "the theory" and this option is off, then the output will be "thE thEory". However, if this option is on, then the program will display the result "th* th*ory" on the screen (because the first step still returns "thE thEory" but now the second step runs on this new text and produces "th* th*ory"). Textabulous!
With this online tool, you can rewrite letters, digits, symbols, and words in any text using special transformation and rewriting rules. In particular, you can replace a letter with another letter, replace a letter with a symbol (and vice-versa), add a letter or a symbol between other letters and symbols, delete substrings from text, and remove and replace words. All rules follow the format "from=to". For example, the simple rule "and=&" will replace all words "and" in the given text with the ampersand character, the "%=" rule will remove all percent characters, the " =\t" rule will replace all spaces with tabs, and the "=_" rule will insert an underscore between each text character. All transformation rules must be specified in the multi-line field in the options, and it's important to put each rule on a new line. To rewrite tabs, use the character "\t" and to rewrite newlines (line breaks) use the character "\n". If you want to modify full words in the text (and not just substrings), then the "Rewrite Only Full Words" option will be useful. If this option is turned on, then in a rule "from=to" the "from" part will match only a full word. For example, if you enter a rule "the=a" and the text is "the theory", then with this option turned off you'll get "a aory" but if the option is turned on you'll get "a theory". There is also an additional option called "Clean-up Whitespace", which allows you to get rid of any extra spaces formed after deleting a full word. For example, if you have a sentence "the grass is green", and you have a rule "is=" (delete the word "is"), then if this option is turned off, the output will have two consecutive spaces "the grass⎵⎵green", but if this option is turned on, then the output will have clean spacing "the grass⎵green". If your text contains both uppercase and lowercase letters, and you only want to rewrite only one of them, then the "Case Sensitive Rules" option will be useful. The program also offers an extra option called "Double Rewriting" which reads one rule after another and if a replacement is performed, then it repeats the rules again from the start. For example, if a two replacement rule system "e=E" and "E=*" is executed on the text "the theory" and this option is off, then the output will be "thE thEory". However, if this option is on, then the program will display the result "th* th*ory" on the screen (because the first step still returns "thE thEory" but now the second step runs on this new text and produces "th* th*ory"). Textabulous!
This example takes a list of professions as the input and replaces the ending "er" of each word with a new ending "ing". After updating the suffixes, we get participles instead of nouns as the output.
In this example, we load text that is a horizontal space-separated list of seasonal fall vegetables. In the options, we enter a rule for converting spaces to newlines "=\n" and we get a vertical list of vegetables as the output.
In this example, we use our text rewriter program to remove square brackets from a collection of the most important camping items. To do this, we set up two replacement rules: one for the left bracket (matched by the "[=" rule) and one for the right bracket (matched by the "[=" rule).
In this example, we insert an additional dot character between every letter in John Beecher's quote. To do this, we specify a rule for replacing an empty character with a period character (the rule is "=.").
In this example, we use our utility to remove the word "is" from a passage of text. To make sure the substring "is" isn't deleted from any of the words (for example, "is" is in the word "scientists"), we activate the option "Rewrite Only Full Words". This way the word "is" is deleted only if it's preceded or followed by a space or a punctuation mark.
In this example, we create a cipher to hide the lottery winner's name from outsiders. We replace each letter of the name with the next letter of the name and set the final letter to be equal to the asterisk character. But then we activate the "Double Rewriting" checkbox and the entire name immediately turns into a secret string.
In this example, we flip two words from a horizontal position to a vertical position. We use the rule "=\n" that inserts a newline character "\n" between every two letters.
In this example, a barbershop used our tool to create a neat-looking text list of men's hairstyles for their Instagram profile. The job was done by replacing the first uppercase letter of each hairstyle with a matching fancy uppercase Unicode letterlike symbol. To make sure only the first letter uppercase letter was matched, the option "Case Sensitive Rules" was turned on.
This example creates the ROT13 cipher using 26 letter-substitution rules. According to the definition of the ROT13 cipher, each letter of the alphabet is replaced by the 13th letter that follows it. Therefore, we enter 26 individual rules for each lowercase letter in the rule box, and in the output we get ROT13-encoded text.
In this example, we implement the ROT5 cipher and encrypt our friend's phone number. The ROT5 cipher is a special case of the Caesar cipher that works with numbers only. In this cipher, each digit is replaced with the next fifth digit. That is, 0 is replaced with 5, 1 is replaced with 6, 2 is replaced with 7, 3 is replaced with 8, 4 is replaced with 9, 5 is replaced with 0, 6 is replaced with 1, 7 is replaced with 2, 8 is replaced with 3, and 9 is replaced with 4. As this cipher works with digits only, all letters in the text are preserved.
In this example, we remove all ascender and descender letters from a paragraph of text. Ascenders are all letters that exceed the mean line of a font (these are the letters "bdfhiklt") and descenders are all letters that extend below the baseline of a font (these are the letters "gjpqy"). To remove these letters we simply set up rules where each one of them is replaced by nothing. After the removal, the only letters left are "acemnorsuvwxz".
This example rewrites a popular Steve Jobs quote to hacker language and makes it l33t (also known as 1337, 71337, and leetspeak). In hacker language, the letter "e" is the digit "3", the letter "a" is "4", the letter "i" is "1", the letter "o" is "0" (zero), the letter "s" is "5", the letter "c" is the symbol "(", and the letter "v" is two symbols "\/".
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!
