Remove lines containing

Removes lines that contain a pattern/subtext in the input.

Overview

If you have ever worked with server logs, you have probably used grep. Created by Ken Thompson in 1973 for Unix, grep — which stands for global regular expression print — was one of the first tools to demonstrate the power of command-line text processing. The grep -v variant inverts the filter: instead of showing lines that contain the pattern, it shows all lines that do not. That is exactly the logic this tool implements in the browser — no terminal required.

Line-based filtering is one of the most useful patterns in text data work because most logs and data files are organized line by line. Each line is a self-contained unit: a log event, a CSV record, a list entry. Removing lines that contain a specific pattern is a way to filter unwanted events from a massive log file without manually processing the entire document. Debug lines tagged with [DEBUG], repetitive heartbeat entries, bot traffic in server logs, lines commented with # in config files — these are all classic candidates for content-based filtering.

The difference between literal string filtering and regex filtering significantly changes the power of the tool. With a literal string, you remove exactly the lines that contain that text. With regex, you can remove lines that start with a pattern, end with another, contain a number in a certain format, or match one of several alternatives. Most production tools use the host language's regex engine — and this is no different: JavaScript will process the pattern with the same engine the browser uses for regular expressions, the same one running in your devtools.

Technical deep dive

Practical use cases for line-based filtering

  • Server log cleanup: HTTP access files contain thousands of lines. Removing lines with '/favicon.ico', '/robots.txt', or bot agent strings reduces noise before analysis.
  • Filter out commented lines: config files with comments starting with '#' or '//' can be stripped to produce compact versions or parse only the active directives.
  • Remove specific imports and dependencies: when migrating a project, identifying and removing all lines that import a specific module is a straightforward string filter case.
  • Clean CSVs with null values: lines containing ',,' (empty field) or 'NULL' in a given column can be removed before loading data into a database.
  • Prepare data for machine learning: remove lines with stop words ('STOP', 'END', block separators) in raw text datasets before model training.

grep -v: the command-line equivalent

  • grep -v 'pattern' file.txt: prints all lines that do NOT contain 'pattern'. The -v stands for 'inverted match' and is the classic Unix negative filter.
  • grep -vi 'pattern' file.txt: adds -i to ignore case differences. Equivalent to the case-insensitive mode of this tool.
  • grep -vE 'regex' file.txt: uses -E for extended regular expressions (ERE). Allows patterns like 'DEBUG|TRACE|INFO' to remove multiple line types at once.
  • grep -vf patterns.txt file.txt: reads patterns from a helper file, useful when there are many patterns to filter. Each line in patterns.txt is treated as a separate pattern.
  • Combined pipelines: cat access.log | grep -v DEBUG | grep -v 'health_check' | sort | uniq — each grep -v is a sequential filtering stage that progressively reduces noise.

Tool guide

  • What you are working with Multi-line text like logs, lists, and pasted excerpts from files.

  • What the tool does Removes lines that contain a provided pattern/subtext. The filter can be case-sensitive.

  • Why use it Clean logs and lists by removing repetitive or irrelevant entries without external tools.

Code Snippets

Line filter in JavaScript
// Removes lines that contain the pattern (string or regex)
function removeLinesContaining(text, pattern, caseSensitive = true) {
  const flags = caseSensitive ? '' : 'i';
  const re = new RegExp(pattern, flags);
  return text
    .split('\n')
    .filter(line => !re.test(line))
    .join('\n');
}
Equivalent with grep -v in the terminal
# Remove lines containing 'DEBUG' (case-sensitive)
grep -v 'DEBUG' server.log > cleaned.log

# Case-insensitive
grep -vi 'debug' server.log

# Multiple patterns with extended regex
grep -vE 'DEBUG|TRACE|healthcheck' server.log

Example

one
two
THREE
four

Remover padrão: two
Saída: one
THREE
four

FAQ

What is this tool for?

It runs fully in your browser: useful to validate, format, or convert data in everyday development.

Are my inputs sent to a server?

Processing happens locally with JavaScript. We do not store what you paste into the text areas.

Can I use this for real production data?

Use at your own risk. For secrets (passwords, tokens), prefer controlled environments and your company policies. And always review the generated contents. Never trust blindly things you see on the internet.