Text Pattern Finder

Text Pattern Finder is a modern browser-based tool to search, filter, extract, and analyze lines of text using simple matching rules or optional regex. Quickly filter logs, find keywords, extract content between delimiters, highlight matches, and export results as TXT, CSV, or JSON with full client-side privacy.

โš™๏ธ Pattern settings
Use the format start => end for each pair.
๐Ÿ”Ž Regex flags and help

Regex examples

  • \b\w+@\w+\.\w+\b for email addresses
  • https?:\/\/[^\s]+ for URLs
  • \berror\b|\bwarn\b for log levels
๐ŸŽ›๏ธ Output options
Total lines0
Matched lines0
Unmatched lines0
Number of matches0
Matched %0%
โœจ Live highlighted preview

Text Pattern Finder

Text Pattern Finder is a fast, browser-based text filtering and extraction tool. It helps you search and analyze large text blocks, logs, code snippets, CSV rows, and HTML content with simple matching rules or optional regular expressions.


โญ What Text Pattern Finder Does

  • Filter lines by starts with, ends with, contains, does not contain, exact match, empty lines, and non-empty lines.
  • Extract content between two characters, between two strings, or between multiple delimiter pairs.
  • Handle one pattern per line with AND or OR matching logic.
  • Highlight matches directly in a live result preview while you type.
  • Export filtered output as TXT, CSV, or JSON.

๐Ÿ”Ž All Matching Modes Explained

  • Starts with: Keeps lines that begin with your pattern.
  • Ends with: Keeps lines that end with your pattern.
  • Contains: Keeps lines that include your pattern anywhere.
  • Does not contain: Keeps lines where the pattern does not occur.
  • Exact match: Keeps lines that are exactly equal to your pattern.
  • Empty lines: Keeps only blank lines.
  • Non-empty lines: Keeps only lines with visible content.
  • Between two strings: Extracts text between a start string and end string.
  • Between two characters: Extracts text between one start character and one end character.
  • Between multiple delimiters: Extracts text using multiple start/end pairs defined line by line.

โš™๏ธ Pattern, Extraction, and Output Options

  • Patterns (one per line): Add multiple keywords or patterns, each on a new line.
  • Pattern logic OR: A line matches if at least one pattern matches.
  • Pattern logic AND: A line matches only if all patterns match.
  • Greedy extraction: Extracts from the first start delimiter to the last end delimiter in a line.
  • Non-greedy extraction: Extracts the shortest possible segment between delimiters.
  • Include delimiters: Keeps wrappers such as [value] or <title>text</title> in the extracted output.
  • Result type Matched lines: Returns full matching lines.
  • Result type Extracted text: Returns only extracted fragments.
  • Case sensitive: Distinguishes uppercase and lowercase characters.
  • Remove duplicates: Keeps only unique output rows.
  • Invert matching: Shows non-matching lines instead of matching lines.
  • Preserve line numbers: Adds original line numbers to output and preview.

๐Ÿงช Optional Regex Mode

Enable Regex Mode when you need advanced pattern matching. Text Pattern Finder supports regex flags for case-insensitive, multiline, and global matching. Built-in validation shows clear error messages if a pattern is invalid, so you can fix mistakes quickly.

  • i flag (case-insensitive): Matches letters regardless of uppercase/lowercase.
  • m flag (multiline): Makes start/end anchors operate per line.
  • g flag (global): Finds all matches instead of only the first match.

๐Ÿ’ก Practical Examples

  • Log filtering: keep lines that contain ERROR, WARN, or CRITICAL.
  • Email extraction: find addresses with a regex pattern.
  • URL filtering: isolate lines containing https:// or http://.
  • CSV searching: match rows that include multiple keywords with AND logic.
  • HTML extraction: get text between <title> and </title>.

๐Ÿ“Š Match Analytics and Export

The tool reports total lines, matched lines, unmatched lines, number of matches, and match percentage. You can remove duplicate results, invert matching, preserve original line numbers, then export output as TXT, CSV, or JSON. JSON exports include line number, original line, and matched patterns for easier downstream processing.


๐Ÿ“˜ Quick Terms Guide

  • Delimiter: The start and end markers around text you want to extract.
  • Greedy: Capture as much text as possible between delimiters.
  • Non-greedy: Capture as little text as possible between delimiters.
  • Regex: A pattern language for advanced text searching.
  • Match count: Total number of matched fragments, not only matched lines.
  • Matched lines: Number of lines that pass your filter rules.

โš ๏ธ Privacy and Performance

Text Pattern Finder runs fully client-side in your browser. Your text stays on your device and is never uploaded. Debounced live preview keeps the interface responsive, even when processing larger inputs.


This tool is also known as

  • text pattern finder
  • extract text by pattern
  • search and filter text lines
  • pattern matching text tool
  • text extractor by keyword

Frequently Asked Questions

Text Pattern Finder is a browser-based tool that lets you search, filter, extract, and analyze text lines using simple matching rules or optional regex.

You can use Starts with, Ends with, Contains, Does not contain, Exact match, Empty lines, Non-empty lines, Between two strings, Between two characters, and Between multiple delimiters.

Greedy extraction captures the largest possible segment between delimiters. Example: with [a][b], greedy extraction can capture from the first [ to the last ] in the same line.

Non-greedy extraction captures the smallest possible segment between delimiters. It is useful when lines contain multiple bracketed or tagged values.

When enabled, extracted output keeps delimiter wrappers such as [value] or <title>Text</title>. When disabled, only the inner text is returned.

Enter one pattern per line. OR keeps lines that match at least one pattern. AND keeps lines only when every pattern matches the same line.

Invert matching shows non-matching lines instead of matching lines. It is useful when you want to remove known patterns and keep the rest.

It prefixes output with original source line numbers so you can trace filtered results back to the input text quickly.

Matched lines is how many lines pass the filter. Number of matches is the total count of matched fragments, which can be higher because one line can contain multiple matches.

Yes. Regex mode is optional and supports i (case-insensitive), m (multiline), and g (global) flags. Invalid regex patterns show a clear validation error.

A delimiter is the start and end marker around target text, such as [ and ], ( and ), or <title> and </title>.

You can export results as TXT, CSV, and JSON. JSON output includes line number, original line, output line, and matched patterns.

Yes. Built-in presets are available for log filtering, email extraction, URL filtering, CSV searching, and HTML extraction.

Yes. All processing happens locally in your browser. Your text is not uploaded or stored on a server.