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Info Extractor

Auto-extract emails, URLs, phone numbers, dates and ID numbers from text, listed by category.
Extract 📂 Text 👤 ToolWorld 🏷️ v1.1.12
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Source text Paste or type text
Extracted results appear here
Type Value # Action
No extracted results

How to Use

📖 Tool Introduction


The Info Extractor is a free online structured-data extraction tool built to automatically recognize and pull five common types of contact and identity information out of large unstructured text: email addresses, URLs, mobile phone numbers, dates and national ID card numbers. When you are holding an exported chat log, a pile of user messages, support tickets, survey responses or a contract appendix, and you want a quick summary of every contact detail inside, scanning line by line with your eyes is slow and error-prone. This tool runs carefully tuned regular expressions locally in your browser, sweeps the whole text in one pass, and organizes every hit into a table grouped by category. Each row carries a type icon, the matched value, its original order index and a one-click copy button. ID numbers are not merely pattern-matched as 18 digits: the weighted checksum is computed automatically, and forged or invalid numbers are filtered out. URLs automatically drop trailing punctuation, phone numbers are restricted to mainland China 11-digit mobile ranges, and dates recognize dash, slash and full-width Chinese year-month-day styles. The category chips on top show live hit counts for each type, and clicking one filters the table instantly. Results can be copied all at once as a tab-separated block or downloaded as a plain text file. Every calculation happens locally, so no data ever leaves your browser. A built-in example loads a realistic business paragraph in one click, and the Ctrl+Enter shortcut triggers the scan without reaching for the mouse. Because extraction is purely local, the tool is safe for confidential drafts and sensitive customer data, and it stays responsive even when the source document is very long. Whether you work with a short paragraph or a hundred-page export, the table renders quickly and the category chips keep their counts accurate. The tab-separated copy format drops straight into Excel or any spreadsheet without extra reformatting, which saves data-entry teams a tedious manual cleanup pass.

✨ Key Features


  • Five patterns: emails, URLs, phones, dates and ID numbers found in one scan
  • ID checksum: weighted checksum validation filters out forged 18-digit numbers
  • Category chips: live counts per type, click to filter the table instantly
  • Result table: type icon, value, index and per-row copy button at a glance
  • Deduplication: repeated identical values appear only once, keeping the list clean
  • One-click export: copy everything as tab-separated text or download a TXT file

📝 How to Use


  1. Paste the long text you want to analyze into the input area above
  2. Click Extract Now and wait a moment for the scan to finish
  3. Read the summary bar for the total count and the per-category breakdown
  4. Click a category chip to focus on one type, or copy rows individually
  5. When ready, copy all results or download them as a TXT file

⚠️ Notes


  • Empty input: clicking extract with no text shows a friendly prompt
  • ID validation: only checksum-passing 18-digit numbers are listed, avoiding order IDs
  • Phone scope: mobile matching covers mainland China ranges; international numbers are out of scope
  • Privacy: ID and contact data are sensitive; all processing is local
  • Large text: million-character documents may take a moment but stay responsive

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