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041 · TEXT

Text Data Extractor

Extract numbers, Korean, English, emails, URLs, phone numbers, and hashtags from long text by type.

LOCALYour source text and extracted results are processed locally in the browser and are not sent to or stored on a server.
LOCALText you type or load and extracted results stay in this browser and are not sent to or stored on a server.

Type, paste, or drop a text file

You can also drop a TXT, MD, or CSV file anywhere in this workspace.

Paste source text and select the types you want to extract.0 / 300,000

Local processing · No server upload · Service limit: 300,000 characters · 10,000 per type · 30,000 total

Extraction types7 / 7 · Numbers · Korean · English · emails · URLs · phone numbers · hashtags
Extracted results0 matches
Numbers0 matches

No matches found.

Korean0 matches

No matches found.

English0 matches

No matches found.

Emails0 matches

No matches found.

URLs0 matches

No matches found.

Phone numbers0 matches

No matches found.

Hashtags0 matches

No matches found.

Results are grouped by selected type and keep source order within each type.

Total results0
Selected types7
Input chars0

NEXT WORK

Next work

RELATED TOOLS

Related tools

HOW TO USE

How to use

  1. 01

    Type or paste text, or load a TXT, MD, or CSV file.

  2. 02

    Select the extraction types you need: numbers, Korean, English, emails, URLs, phone numbers, or hashtags.

  3. 03

    Run Extract and review each result group and count.

  4. 04

    Copy the results or download them as a TXT file.

EXTRACTION GUIDE

How to extract text patterns reliably

These notes explain how the tool separates useful string patterns by type without changing the source text.
Emails

Collect contact addresses

Pull email-like strings from mail, notices, CSV exports, logs, and long documents.

URLs

Build a link list

Find URLs beginning with http, https, or www and separate links from posts or documents.

Phone numbers

Find contact strings

Locate practical Korean and international phone-number patterns in contact text.

Numbers

Inspect numeric tokens

Find integers, decimals, grouped numbers, and percentage-like numeric tokens in orders, prices, and logs.

Korean / English

Separate scripts

Extract Hangul and Latin runs independently from mixed-language documents.

Hashtags

Collect social tags

Extract Unicode hashtags containing letters, numbers, and underscores, including Korean and Japanese tags.

IMPORTANT NOTES

Important notes

FAQ

Frequently asked questions

01Is my text sent to a server?+

No. Your source text and extracted results are processed in the current browser only.

02Does it fully validate emails or URLs?+

No. It is a practical extraction tool, not a final validity checker.

03Are Japanese hashtags supported?+

Yes. Unicode hashtag characters include Japanese tags.

04What order are results shown in?+

Within each extraction type, results keep their original occurrence order.

05What happens when I load another file?+

Because the current source, results, and extraction types may reset, the tool asks for confirmation before replacing the file.