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正規表現抽出

ブラウザ上で正規表現を使ってテキストから一致部分を抽出します。

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正規表現分割

正規表現分割

ブラウザ上で正規表現を使ってテキストを分割します。

正規表現置換

正規表現置換

ブラウザ上で正規表現を使ってテキストを置換します。

PDF 分割

PDF 分割

PDF ファイルを個別ページまたはページ範囲に分割します。

PDFページ抽出

PDFページ抽出

PDFファイルから特定のページを抽出します。

PDF 結合

PDF 結合

複数の PDF ファイルをブラウザで素早く安全に一つのドキュメントに結合します。

バイナリをテキストに変換

バイナリをテキストに変換

バイナリ(0と1)を読めるテキストに変換します。

PDF グレースケール変換

PDF グレースケール変換

各ページをレンダリングして再構築することで、カラー PDF をグレースケールに変換します。

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Extract, Split, and 変換 Text with Regex

When you need to extract specific data from unstructured text—log entries, CSV files, HTML, JSON responses, or raw text—regex is your tool. But writing and testing regex in code is slow. This Regex Extractor lets you develop and test regex patterns directly in your ブラウザ, then use the results immediately or copy them for your codebase.

No server, no coding environment setup needed. Just paste text, write your pattern, and see the extracted matches instantly.

Three Powerful Extraction Modes

Extract Matches: Pull out all strings matching your pattern. Useful for finding email addresses in a text dump, extracting URLs from HTML, pulling numbers from logs, or harvesting specific data フォーマットs. See all matches in a clean list.

Split by Pattern: Use a regex to split text into chunks. Instead of splitting on a literal delimiter, split on any pattern—whitespace variations, punctuation sequences, or specific text markers. This is powerful for parsing non-standard delimited data.

Replace Matched Content: 変換 text by replacing matches with new content. Use capture groups to reorganize matched data, remove unwanted parts, or apply consistent フォーマットting across a string.

Why This Beats Manual Processing

Without a tool, extracting data from large text blocks means:

  • Writing a script in your language of choice
  • Testing the regex until it's right
  • Running it on your data
  • Getting results you can't easily verify

With this extractor:

  • Type the pattern and see results immediately
  • Adjust and re-test in seconds
  • Copy results when they're perfect
  • Work entirely in your ブラウザ

Common 使用例

Log Analysis: Extract error messages, timestamps, or IP addresses from log files. Test your extraction pattern against sample log lines before processing entire logs.

Data Cleaning: Pull email addresses, phone numbers, or URLs from messy text sources. 変換 and normalize data before importing to databases or spreadsheets.

Content Harvesting: Extract specific data from HTML, JSON, or other structured but bulky フォーマットs without writing a full parser.

Configuration Parsing: Pull specific settings from config files or environment dumps.

Bulk Text 変換ations: Rename variables, reフォーマット lines, or reorganize structured text data using regex splitting and replacement.

Quick Data Validation: Before feeding data to your application, extract and verify it matches expected patterns.

Full Regex Support with Flags

Use all standard JavaScript regex flags:

  • g (global): All matches, not just the first
  • i (case-insensitive): Ignore uppercase/lowercase differences
  • m (multiline): Treat line boundaries as match anchors
  • s (dotAll): Dot metacharacter matches newlines

When replacing, use $1, $2 syntax to reference capture groups, making it easy to reorganize extracted data.

ローカル処理, Zero Privacy Concerns

All extraction happens in your ブラウザ. Your data never leaves your machine, so you can process sensitive logs, customer inフォーマットion, or proprietary content without hesitation.