This online text extractor is a powerful information extraction tool that helps you quickly extract valuable information from large volumes of text. Here is a detailed usage guide:
Step 1: Paste Your Text — Paste the text content you want to extract information from into the input box above. Supports text of any length, including web page source code, chat logs, log files, email content, and more. The tool will automatically process and analyze the text content.
Step 2: Select Extraction Types — Check the information types you want to extract below the input box. By default, URL links and email addresses are selected. You can freely combine types according to your needs. Supported types include: URL links (HTTP/HTTPS protocols), email addresses (standard formats), IPv4 addresses, IPv6 addresses, phone numbers (multiple formats), dates, hashtags, and @mentions.
Step 3: Run Extraction — Click the "Extract" button and the tool will immediately analyze the text and display results. Each information type shows its own stat card with the extraction count. Click the "Copy" button next to a result item to copy a single result, or click "Copy All" to copy all results at once.
Export Results: After extraction is complete, you can click the "Download TXT" button to save the results as a text file. The file contains all extracted results grouped by type, making it easy to analyze and use later.
The text extractor is useful in a wide variety of scenarios. Here are some typical use cases:
Data Analysts: Extract all URL links and email addresses from massive volumes of web page source code or log files for data collection and competitive analysis. Compared to manual searching, efficiency improves by an order of magnitude, and no information is missed.
Developers: Extract IP addresses and dates from error logs or debug information to quickly locate issues. You can also extract example URLs from API documentation for testing, or extract @mention contacts from TODO comments in code.
Social Media Managers: Extract hashtags and @mentions from large numbers of social media posts or comments for trend analysis and user engagement statistics. Helps formulate more precise marketing strategies.
Regular Expression Engine: The core of this tool is regular expression (regex) pattern matching. Regular expressions are a powerful text pattern matching language that identifies specific content by defining patterns. For example, the email regex pattern [a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,} matches most standard email formats. Different information types use different regex patterns to ensure accuracy.
IPv4 vs IPv6: IPv4 addresses use 32-bit binary representation in the format of four 0-255 numbers separated by dots, e.g., 192.168.1.1. IPv6 addresses use 128-bit binary representation in the format of eight groups of four hexadecimal digits separated by colons, e.g., 2001:0db8:85a3:0000:0000:8a2e:0370:7334. This tool supports extraction and validation of both IP address formats.
Privacy & Security: This tool uses a pure client-side architecture. All text processing happens locally in your browser and is never uploaded to any server. This means you can safely process text containing sensitive information without worrying about data leaks. Extracted results are only displayed on the current page and are cleared when the page is closed.
The tool supports extracting URL links, email addresses, IPv4 addresses, IPv6 addresses, phone numbers, dates, hashtags, and @mentions — a total of 8 information types. You can freely select the types you need.
Yes. All processing happens entirely in your browser. Your text data is never uploaded to any server, ensuring complete privacy and security. You can safely process text containing sensitive information.
Yes. You can paste large volumes of text into the input field, and the tool will automatically identify and extract all target information, removing duplicates before displaying results. Extraction is fast regardless of text length.
The tool uses optimized regular expressions for matching, achieving high recognition accuracy for common URL, email, and IP formats. However, some special or non-standard formats may be missed. We recommend manual verification after extraction.
Yes. This tool fully supports processing text in any language. URL, email, and IP formats are language-independent. Hashtags and @mentions also support non-Latin content including Chinese, Japanese, and Korean text.
Possible reasons include: the information format does not match the standard (e.g., URLs without protocol), unconventional formatting, or the type is not checked. Please verify the text format and ensure the corresponding extraction type is selected.
Yes. Extracted results are automatically deduplicated — duplicate information is only shown once. This helps produce cleaner results and avoids data redundancy.
Yes. After extraction is complete, click the "Download TXT" button to save the results as a text file. The file contains all extracted results grouped by type, making it easy to analyze and use later.