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Extract Data with Regex

Build and test patterns to extract structured data from unstructured text, HTML, or markdown.

Tidak perlu login
//g
Flags:
Examples:

Test text

Matches

The quick brown fox jumps over the lazy dog. Pack my box with five dozen liquor jugs.Enter a pattern above to see matches highlighted here.

Data Extraction tips

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Extract all email addresses, phone numbers, prices, or dates from a block of text by building a global-flag pattern and testing it here first.

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Capture groups let you extract specific parts of a match. ([\w.-]+)@([\w.-]+) captures username and domain separately in groups 1 and 2.

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The match details panel shows every match with its position and captured groups β€” exactly what you'd get from JavaScript's match() or Python's findall().

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Enable the "s" (dotall) flag to make . match newlines too β€” essential when extracting content that spans multiple lines.

Cara kerja

1
Masukkan
Enter your data into the tool above. Everything stays local to your browser.
2
Proses
The tool processes your data instantly in your browser using JavaScript. No server, no waiting.
3
Unduh
Get your result instantly. Nothing is stored after you leave the page β€” complete privacy.

Mengapa milik kami?

βœ“Sepenuhnya gratis β€” tidak ada biaya tersembunyi, selamanya
βœ“Tidak perlu akun, email, atau login
βœ“File tidak pernah meninggalkan perangkat Anda
βœ“Tidak ada batasan ukuran file sama sekali
βœ“Tidak ada tanda air pada output apa pun

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