Filter Text Lines by Pattern or Regex
Parse massive log files or unstructured datasets using PCRE-compatible patterns. Isolate critical data points through line-by-line regex validation.
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About Filter Text Lines
Filter text lines based on a pattern or regular expression. This tool helps you quickly extract lines that match specific criteria, whether you're searching for simple text patterns or using advanced regular expressions. Useful for log analysis, data extraction, and text processing tasks.
Features
The Filter Text Lines tool provides the following features:
- Pattern Matching - Match lines containing specific text patterns.
- Regular Expression Support - Use powerful regex patterns for complex matching rules.
- Case Sensitivity - Choose whether to match case exactly or ignore case differences.
- Line-by-Line Filtering - Process text line by line, returning only matching lines.
- Easy to Use - Simply enter your text, specify the pattern, and filter with a single click.
- Preserve Line Structure - Maintains the original line breaks in filtered results.
Examples
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Simple Text Pattern
Input: Line 1: Error occurred Line 2: Success Line 3: Error in module Line 4: Completed Pattern: Error Use Regex: No Case Sensitive: No Output: Line 1: Error occurred Line 3: Error in module
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Regex Pattern - Starts with Capital
Input: apple Banana cherry Date Pattern: ^[A-Z] Use Regex: Yes Case Sensitive: Yes Output: Banana Date
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Regex Pattern - Contains Numbers
Input: Version 1.0 No numbers here Update 2.3.4 Text only Pattern: \d+ Use Regex: Yes Case Sensitive: No Output: Version 1.0 Update 2.3.4
Real-World Usage Scenarios
- Server Log Troubleshooting - Error Extraction - System administrators often deal with massive log files. By using the 'Error' pattern or a regex like '^.*(500|404|CRITICAL).*$', users can isolate specific failure points without manually scrolling through thousands of lines of status messages.
- Data Sanitization - Email List Filtering - Marketing professionals use this tool to clean lead lists. By applying a regex pattern for specific domains (e.g., '@company.com'), they can quickly separate corporate contacts from generic providers or remove invalid entries that lack an '@' symbol.
- Developer Code Audits - Keyword Identification - Developers can paste large code blocks or configuration files to find every instance of a deprecated function call or a specific variable. Using the 'Case Sensitive' option ensures that specific class names are found while ignoring similar lowercase variables.
- CSV and Dataset Refinement - Row Selection - Analysts often need to extract rows from a CSV-style text block based on a specific ID or category. This tool allows them to filter lines containing that unique identifier, making it easier to prepare data for import into other platforms.
Frequently Asked Questions
How do I filter lines that start with a specific word?
Enable the 'Use Regular Expression' option and use the caret (^) symbol. For example, '^Start' will only return lines that begin with the word 'Start'.
Can I filter lines based on multiple keywords at once?
Yes, by using regex logic. Check 'Use Regular Expression' and separate your keywords with a pipe symbol, such as 'error|warning|failure'. This will return lines containing any of those terms.
Is my sensitive text data processed on your server?
No. This tool processes text locally within your browser. Your input data is never uploaded to a server, ensuring your logs or private data remain secure.
How can I remove empty lines from my text?
Use the regex pattern '.' (a single dot) with the regex option enabled. This will return only lines that contain at least one character, effectively filtering out all blank lines.
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