World's simplest browser-based utility for filtering text sentences. Load your text in the input form on the left and you'll instantly find all sentences that match your filter in the output area. Powerful, free, and fast. Load plain text – get filtered sentences. Created by developers from team Browserling.
World's simplest browser-based utility for filtering text sentences. Load your text in the input form on the left and you'll instantly find all sentences that match your filter in the output area. Powerful, free, and fast. Load plain text – get filtered sentences. Created by developers from team Browserling.
With this online tool, you can find and extract sentences from the given text based on specific search criteria. Each sentence of the text is tested against a search filter, and if it matches, then the program prints it on the screen. The program offers three different sentence search filters. The first filter is called "Filter by a Substring" and it allows you to enter any substring that may occur anywhere in a sentence. The program will then extract all the sentences containing this substring. For example, if you enter the pattern "peach", then all sentences containing this pattern will be found (the words in the sentences with this pattern might include "impeached", "peacher", and also "peach" itself). The second filter is called "Filter by All Symbols", and it allows you to enter all symbols that should be present in the sentence. The program will then extract those sentences that are completely composed of these symbols. The symbols can be letters, digits, or punctuation marks. For example, if you enter "AabdHnpsuy .", the program will extract the sentences "A sunny day." and "Happy baby." because they both include the capital letters "A" and "H", lowercase letters "abdnpsuy", a space " ", and a dot ".". The third filter is called "Filter by a Regexp" and it allows you to extract sentences based on a regular expression. Each sentence is tested against the given regular expression, and if it matches, then it's printed out. For example, you can use the regex "^\S+(\s+\S+){3}$" to get all sentences that consist of exactly four words. If you quickly want to get the opposite results – those sentences that do not match the selected criteria, then you can enable the "Inverse Filter Matches" mode. The tool also includes the "Delete Repeated Sentences" option, which removes all duplicate sentences from the output. Additionally, for convenience, you can enable the option "Print One Sentence Per Line", which will display all the filtered sentences in a vertical list, one per line. Textabulous!
With this online tool, you can find and extract sentences from the given text based on specific search criteria. Each sentence of the text is tested against a search filter, and if it matches, then the program prints it on the screen. The program offers three different sentence search filters. The first filter is called "Filter by a Substring" and it allows you to enter any substring that may occur anywhere in a sentence. The program will then extract all the sentences containing this substring. For example, if you enter the pattern "peach", then all sentences containing this pattern will be found (the words in the sentences with this pattern might include "impeached", "peacher", and also "peach" itself). The second filter is called "Filter by All Symbols", and it allows you to enter all symbols that should be present in the sentence. The program will then extract those sentences that are completely composed of these symbols. The symbols can be letters, digits, or punctuation marks. For example, if you enter "AabdHnpsuy .", the program will extract the sentences "A sunny day." and "Happy baby." because they both include the capital letters "A" and "H", lowercase letters "abdnpsuy", a space " ", and a dot ".". The third filter is called "Filter by a Regexp" and it allows you to extract sentences based on a regular expression. Each sentence is tested against the given regular expression, and if it matches, then it's printed out. For example, you can use the regex "^\S+(\s+\S+){3}$" to get all sentences that consist of exactly four words. If you quickly want to get the opposite results – those sentences that do not match the selected criteria, then you can enable the "Inverse Filter Matches" mode. The tool also includes the "Delete Repeated Sentences" option, which removes all duplicate sentences from the output. Additionally, for convenience, you can enable the option "Print One Sentence Per Line", which will display all the filtered sentences in a vertical list, one per line. Textabulous!
In the input of this example, we paste an excerpt from an article about an annual music festival. As we're huge fans of "The Beatles", we want to extract all the information about our band and find sentences where they are mentioned. We use the "Filter by a Substring" option and enter "The Beatles" as the search substring. In the output, three sentences get filtered from the text and they are exactly what we were looking for.
In this example, we're working with text about bees and we are looking for sentences that don't use the descender letters ("g", "j", "q", "p", and "y"). To find all such sentences, we select the "Filter by All Symbols" mode in the options and enter all other letters except the descenders there. We find that there are two sentences that match this criterion.
In this example, we use a regular expression filter. We enter the pattern "/[$€]/" which matches all sentences that use the currency symbols "$" or "€". But we also activate the "Inverse Filter Matches" option, which finds all sentences that do not contain these currencies. Also, for our convenience, we remove all repeated sentences and display each of the filtered sentences on its own line.
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!
