World's simplest browser-based utility for filtering text paragraphs. Load your text in the input form on the left and you'll instantly find all paragraphs that match your filter in the output area. Powerful, free, and fast. Load plain text – get filtered paragraphs. Created by developers from team Browserling.
World's simplest browser-based utility for filtering text paragraphs. Load your text in the input form on the left and you'll instantly find all paragraphs that match your filter in the output area. Powerful, free, and fast. Load plain text – get filtered paragraphs. Created by developers from team Browserling.
With this online tool, you can quickly find specific paragraphs in a large text. A paragraph is a block of text that is separated by at least one blank line above (or below) from the rest of the text and our program offers three filtering methods that you can use to find the paragraphs that you need. They include filtering by a keyword (or multiple keywords), by an alphanumeric symbol set, or by a regular expression. In the "Keyword Filtering Mode" option, you can enter one or more keywords (one per line) and the program will immediately display all paragraphs that contain these keywords. The keywords can be substrings or words, groups of words, or individual letters or digits. If you need to apply heuristics to your search, you can, you can find paragraphs based on their alphanumeric content. You can turn on the "Symbol Set Filtering Mode" option and list the set of alphanumeric characters that you want the paragraphs to contain. This set can also include spaces, commas, periods, and other punctuation marks, and the program will then find and display paragraphs that are made up of exactly these symbols, and nothing else. Finally, you can use an advanced filtering method to find paragraphs by a regular expression. In the "Regexp Filtering Mode" option, you can enter a regular expression that you need the paragraphs to match. For example, the regular expression "/\d/" will match all paragraphs that contain single digit or multi-digit numbers. To quickly find the paragraphs in the text that are opposite of your filter, you can activate the "Print Opposite Matches" option. The output will then contain those paragraphs that are not matched by the filter settings. Finally, the "Don't Print Paragraph Copies" option ensures that you don't have to waste your time removing duplicate paragraphs in a filtered list. Textabulous!
With this online tool, you can quickly find specific paragraphs in a large text. A paragraph is a block of text that is separated by at least one blank line above (or below) from the rest of the text and our program offers three filtering methods that you can use to find the paragraphs that you need. They include filtering by a keyword (or multiple keywords), by an alphanumeric symbol set, or by a regular expression. In the "Keyword Filtering Mode" option, you can enter one or more keywords (one per line) and the program will immediately display all paragraphs that contain these keywords. The keywords can be substrings or words, groups of words, or individual letters or digits. If you need to apply heuristics to your search, you can, you can find paragraphs based on their alphanumeric content. You can turn on the "Symbol Set Filtering Mode" option and list the set of alphanumeric characters that you want the paragraphs to contain. This set can also include spaces, commas, periods, and other punctuation marks, and the program will then find and display paragraphs that are made up of exactly these symbols, and nothing else. Finally, you can use an advanced filtering method to find paragraphs by a regular expression. In the "Regexp Filtering Mode" option, you can enter a regular expression that you need the paragraphs to match. For example, the regular expression "/\d/" will match all paragraphs that contain single digit or multi-digit numbers. To quickly find the paragraphs in the text that are opposite of your filter, you can activate the "Print Opposite Matches" option. The output will then contain those paragraphs that are not matched by the filter settings. Finally, the "Don't Print Paragraph Copies" option ensures that you don't have to waste your time removing duplicate paragraphs in a filtered list. Textabulous!
In this example, we are studying the chronology of 18th century American history. To quickly see the events that interest us (events that happened in 1765 and 1775), we enable the keyword search mode and enter these two years into the keyword option. As a result, we find two paragraphs describing the events of these years.
In this example, we use precise filtering, which extracts paragraphs by their alphanumeric content. We load eight paragraphs with emails and extract only those that contain lowercase letters a-z, the "at" sign "@", and a dot. In the output, we get two emails that don't contain numbers, underscores, or pluses.
In this example, we enable the advanced filtering method and use a regular expression as the search pattern. We enter the pattern "/.{90,}/" which finds those paragraphs of text that are longer than 90 characters. We also enable the "Print Opposite Matches" option, which reverses the pattern and returns paragraphs that are less than 90 characters long. We also use the "Don't Print Paragraph Copies" option to get rid of duplicate paragraphs.
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!
