IPv4 Address Converter

Every device on the internet is identified by a 32-bit IPv4 address, but the way that address is written varies by context. Network engineers use dotted decimal for configuration files, binary for subnet masking, hexadecimal in packet captures, and plain integers for database storage and range comparisons. This converter bridges all four representations in a single step.

Whether you are debugging firewall rules, storing IP ranges in a SQL database, or studying for a networking certification, having a reliable format translator eliminates manual calculation errors and speeds up everyday tasks.

• Instant conversion across dotted decimal, binary, hex, and integer
• Input auto-detection so you can paste any supported format
• CIDR notation parsing with subnet mask and host range output
• Batch mode for converting multiple addresses at once
• Network class and private/public/reserved identification

An IPv4 address is a 32-bit number typically written as four decimal octets separated by dots. Converting between formats involves reinterpreting those 32 bits in different bases: decimal for human readability, binary for subnet math, hexadecimal for compact notation, and a single integer for efficient database storage.

// Dotted decimal to integer
const octets = '192.168.1.1'.split('.').map(Number);
const integer = (octets[0] << 24) + (octets[1] << 16) + (octets[2] << 8) + octets[3];
// Result: 3232235777

// Integer back to dotted decimal
const ip = [(integer >>> 24), (integer >>> 16) & 0xFF, (integer >>> 8) & 0xFF, integer & 0xFF].join('.');
// Result: '192.168.1.1'

The tool above handles all supported formats automatically, detects the input type, validates ranges, identifies the network class, and shows whether an address is private, public, or reserved.

• Validate Input: Always verify IP addresses are in valid ranges (0-255 per octet)
• Handle Edge Cases: Consider special addresses like 0.0.0.0 and 255.255.255.255
• Use Appropriate Format: Choose the right format for your use case
• Consider Endianness: Be aware of byte order when working with integers
• Document Context: Specify whether addresses are network, host, or broadcast
• Batch Processing: Use efficient algorithms for large-scale conversions
• Error Handling: Implement robust error checking and reporting