Quickly extract phone numbers from text. Supports multiple formats and automatically filters invalid digits.
Enter text to start extraction
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Manually searching for phone numbers in massive amounts of text mixed within web pages, documents, or chat logs is time-consuming and prone to errors. The Phone Number Extractor is an online tool based on regular expression (regex) matching algorithms. It automatically scans your input text to accurately identify and extract strings of digits that meet specific rules. A phone number is typically defined as a continuous string of digits following specific country or carrier prefix rules (such as those starting with 13, 15, 17, 18, or 19 in mainland China). This tool can not only extract standard 11-digit domestic numbers but also recognize formats with international area codes (such as +86 or 0086). It intelligently filters out irrelevant numbers like landlines and ID card numbers, ultimately outputting the results in a clear list format.
Q: What phone number formats can the extractor recognize?
A: It primarily recognizes 11-digit mainland China phone numbers (starting with 13/15/16/17/18/19) and formats with international area codes (+86, 0086). Digit strings shorter than 11 digits, with non-mainstream prefixes, or incorrect formats will be filtered out.
Q: How can I extract all phone numbers from a web page?
A: Copy all the text on the web page (Ctrl+A, Ctrl+C) and paste it into this tool. The tool will ignore HTML tags and only process plain text digits.
This tool processes based on plain text matching and is ineffective for numbers in images or complex encrypted text. The input content is processed solely within your front-end browser's memory and is not uploaded to any server. However, for security reasons, it is still recommended to avoid processing highly sensitive personal information. International number recognition relies on the correct area code prefix; missing area codes may result in missed extractions.
For data cleaning or market research scenarios, it is recommended to perform preliminary deduplication and format standardization (such as unifying English and Chinese punctuation) on the raw text to further improve the tool's extraction accuracy. Typical input/output example: Input "Contact Manager Zhang: 13800138000, Engineer Li: +8615912345678, Invalid test: 123456", and the output will be two lines: "13800138000" and "+8615912345678".
