Filter text content based on keywords and regular expressions. Supports include/exclude modes to quickly extract the information you need.
Enter text to see filtered output
Random Decimal Generator
Generate random decimals with a specified range, decimal places, and quantity. Ideal for data analysis, simulation experiments, and more.
Chinese D-Series Paper Size Lookup
Look up exact millimeter dimensions for D0 to D6 series paper based on the GB/T 19999-2003 national standard, suitable for book, magazine, and office paper design.
Random Phone Number Generator
Generate random phone numbers by country, carrier, and prefix on demand for development, testing, and data simulation.
Random Email Generator
Bulk generate random email addresses for testing and sign-ups with custom prefixes and domains.
Random Decimal Generator
Generate random decimals with a specified range, decimal places, and quantity. Ideal for data analysis, simulation experiments, and more.
Chinese D-Series Paper Size Lookup
Look up exact millimeter dimensions for D0 to D6 series paper based on the GB/T 19999-2003 national standard, suitable for book, magazine, and office paper design.
Random Phone Number Generator
Generate random phone numbers by country, carrier, and prefix on demand for development, testing, and data simulation.
Random Email Generator
Bulk generate random email addresses for testing and sign-ups with custom prefixes and domains.
US Paper Size Chart
Check US standard paper sizes, including everyday, ANSI, and ARCH series. Features millimeter and inch conversions with visual proportion charts.
How do you quickly extract key information from messy text? The text filter tool helps you accurately screen text lines that include or exclude specific content using keyword matching and regular expressions. A text line (continuous characters separated by a line break) is the basic unit of processing, and the tool achieves efficient filtering by scanning line by line.
It is recommended to keep the text volume under 1MB per processing task. When using regex, test it on a small text sample first. For sensitive data, you can disconnect from the internet before using the tool.
When processing logs, it is recommended to do a rough filter using the keyword "ERROR" first, then combine it with regex for fine filtering. Example: Use "^\[ERROR\].*database" to match database error log lines.
