Text Extractor Online

The Text Extractor Online is a convenient text data extraction tool designed to help you extract valuable information from various text data sources. It can extract email addresses, phone numbers, credit card numbers, as well as filter and extract list data.

Text Extractor Introduction

The Text Extractor is used to extract specific text data in bulk from various texts. It provides a total of 7 extraction modes including lists, text, numbers, and more. Each mode also includes various specialized extraction functions. Below is a brief introduction to these extraction functions.

List Extraction Mode

This mode is primarily used for extracting list data and supports the following extraction types:
1. All Rows: Extracts all text lines after splitting the text.
2. Non-empty Rows: Extracts text lines with non-empty content.
3. Odd Rows: Extracts text lines with odd line numbers.
4. Even Rows: Extracts text lines with even line numbers.
5. Specified Rows: Can be used to express the extraction of specified rows, such as extracting text lines with line numbers 2n+1 or extracting text lines with line numbers 1,3,5,8.
6. Specified Length: Extracts lines with content length in the specified range, such as extracting text lines with content length between 5 and 10.
7. Contains Keywords: Extracts all text lines containing specified keywords.
8. Excludes Keywords: Extracts all text lines that do not contain specified keywords.

Regular Expression Extraction Mode

Supports custom regular expressions to extract specified data. Familiarity with using regular expressions can make data extraction more flexible and efficient. If the regular expression has groups, it will extract the content of the first group.

Edit Mode

You can quickly process input text data, such as removing empty lines, eliminating duplicates, and supporting the following editing modes:
1. Remove Empty Lines: Removes text lines with empty content.
2. Remove Leading and Trailing Spaces: Removes leading and trailing spaces from all text lines, also removing empty lines.
3. Data Deduplication: Removes duplicate list items, making all text lines unique with no duplicates.
4. Convert to Uppercase: Converts all letters to uppercase.
5. Convert to Lowercase: Converts all letters to lowercase.
Click the corresponding button to preview the modification results, and click the 'Apply Changes' button to actually modify the input text data.

More Extraction Modes

We are continuously adding more extraction modes and extraction features. If you have any other requests, please provide us with your feedback. If your suggestions are accepted, we will add them to our extraction features.