World's simplest browser-based utility for filtering words in text. Load your text in the input form on the left, set the filtering pattern, and you'll instantly find all words matching the pattern in the output area. Powerful, free, and fast. Load plain text – get filtered words. Created by developers from team Browserling.
World's simplest browser-based utility for filtering words in text. Load your text in the input form on the left, set the filtering pattern, and you'll instantly find all words matching the pattern in the output area. Powerful, free, and fast. Load plain text – get filtered words. Created by developers from team Browserling.
With this online tool, you can apply a filter on the given text and find all words that match the selected criteria. There are three different word filtering methods. The first filtering method is called "Use a Pattern" and it allows you to extract all words that contain the given substring. For example, to extract all the words that include the substring "cat" (such as "bobcat", "carnival", "caricature", and the word "cat" itself), you can enter this substring in the options and the tool will return a list of all such words found in the input text. You can also use multiple word matching patterns at the same time by specifying each pattern on a new line. The second filtering method is called "Use a Symbol Set". It allows you to extract all words consisting of the given character set. For example, if you want to extract all the words that are made out of the letters "m", "n" and "o", then you can enter "mno" in the character set option, and the tool will return a list of all words in the text that consist only these letters (such as "moon", "noon", "mom", and many others). The third filtering method is called "Use a RegExp". It allows you to extract all words that match the given regular expression. For example, if you want to extract all the words starting with the letter "c" and ending with the letter "t", you can enter the regular expression "/^c.*t$/" as the filter. The tool will test each word against this regular expression, and if it matches, it will print it in the output list. Examples of such words include "car", "chat", "carrot", and many others. Each of these filtering methods can also be inverted, which means that instead of returning words that match the criteria, the utility will instead return words that do not match the criteria. In addition, this utility allows you to get rid of duplicate words in the output. For example, if ten copies of the word "sky" and six copies of the word "star" are found in the text, then by activating the "Remove Duplicates" option, you will get exactly one copy of the words "sky" and "star" in the output. Also for your convenience, you can turn the output words to lowercase and change the separator character that gets placed after each of the filtered words. For example, you can set it to a comma ",", a space " ", or a newline character "\n". Textabulous!
With this online tool, you can apply a filter on the given text and find all words that match the selected criteria. There are three different word filtering methods. The first filtering method is called "Use a Pattern" and it allows you to extract all words that contain the given substring. For example, to extract all the words that include the substring "cat" (such as "bobcat", "carnival", "caricature", and the word "cat" itself), you can enter this substring in the options and the tool will return a list of all such words found in the input text. You can also use multiple word matching patterns at the same time by specifying each pattern on a new line. The second filtering method is called "Use a Symbol Set". It allows you to extract all words consisting of the given character set. For example, if you want to extract all the words that are made out of the letters "m", "n" and "o", then you can enter "mno" in the character set option, and the tool will return a list of all words in the text that consist only these letters (such as "moon", "noon", "mom", and many others). The third filtering method is called "Use a RegExp". It allows you to extract all words that match the given regular expression. For example, if you want to extract all the words starting with the letter "c" and ending with the letter "t", you can enter the regular expression "/^c.*t$/" as the filter. The tool will test each word against this regular expression, and if it matches, it will print it in the output list. Examples of such words include "car", "chat", "carrot", and many others. Each of these filtering methods can also be inverted, which means that instead of returning words that match the criteria, the utility will instead return words that do not match the criteria. In addition, this utility allows you to get rid of duplicate words in the output. For example, if ten copies of the word "sky" and six copies of the word "star" are found in the text, then by activating the "Remove Duplicates" option, you will get exactly one copy of the words "sky" and "star" in the output. Also for your convenience, you can turn the output words to lowercase and change the separator character that gets placed after each of the filtered words. For example, you can set it to a comma ",", a space " ", or a newline character "\n". Textabulous!
In this example, we find all words in the given text that contain either the lowercase pattern "can" or the capitalized version of the same pattern "Can". Each of the words in the text is matched against the specified patterns and if it's a match, then the word is printed to the output. As a result, we find three such words – "Canyon", "can", and "American" – which get displayed in a vertical column (separated by the symbol "\n", which means a line break).
In this example, we extract from the text all words that are composed of the letters "a", "e", "h", "s", and "t". To do this, we enable the "Use a Symbol Set" extraction mode and enter these letters in the option as a single string "aehst". We also activate the "Delete Duplicate Words" option to skip the repeated words in the output, and as a result, we find three words that are made out of these letters.
In this example, we use a regular expression to check if there are words with repeated letters in the text. The regex filter selects words such as "Jazz", "classical", and "all". But we also activate the "Invert Filter Matches" option and instead, we get all other words in the output which do not match the repeated letter regex filter.
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!
