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Random IPv4 Address Generator
Used by developers, writers, and creators worldwide.
A random IPv4 address generator is an essential tool for developers, QA engineers, and network professionals who need realistic IP data without hand-crafting every address. Seeding a user-activity log with fake client IPs, populating a Postgres staging table, or testing a geo-IP lookup function all require valid, correctly formatted addresses — and doing that manually at scale is tedious. This generator produces valid addresses across both public and private ranges in seconds. Choose from four address types: public internet IPs or any of the three RFC-1918 private ranges (10.x.x.x, 172.16–31.x.x, or 192.168.x.x). Set the count to generate anywhere from one address to a large batch. Output is plain text, one address per line, ready to paste into a JSON fixture, CSV, or code array with no cleanup needed.
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How to use
- Choose your options above
- Click Generate
- Copy your result
Detailed instructions
- Set the count field to the number of IPv4 addresses you need in your batch.
- Select the address type — choose 'public' for internet-routable IPs or 'private' for internal network ranges like 192.168.x.x or 10.x.x.x.
- Click the generate button to produce the list of random valid IPv4 addresses instantly.
- Copy the output and paste it directly into your test file, database seed script, or configuration document.
Use Cases
- •Seeding a Postgres staging table with realistic client IP address records
- •Testing firewall ACL rules against both public and RFC-1918 private ranges
- •Populating mock access logs for a SIEM or Splunk demo environment
- •Generating fixture data for Jest or Pytest unit tests on IP parsing functions
- •Simulating distributed client IPs in a k6 or Locust load-testing script
Tips
- →Use private addresses when testing anything behind a NAT or simulating LAN device inventories — they look more authentic in those contexts.
- →Generate a large batch (50–100) at once and store them in a fixture file so your test suite always has a stable, repeatable dataset.
- →When testing firewall ACL rules, generate both public and private batches separately to verify that each rule type fires correctly for its intended address space.
- →For log file simulation, mix multiple generated batches to avoid patterns — real access logs rarely repeat the same IP block consecutively.
- →If your code parses or displays IP addresses, test with addresses containing leading-edge octets like 1.x.x.x and 9.x.x.x to catch any padding or display width bugs.
- →Pair generated IPs with a random port number list to build complete source/destination pairs for socket testing or mock packet data.
FAQ
what is the difference between public and private IPv4 addresses
Private IPv4 ranges — 10.0.0.0/8, 172.16.0.0/12, and 192.168.0.0/16 — are reserved for internal networks and are not routable on the public internet. Public IPs are globally unique and routable. Use private addresses when simulating LAN devices or internal services, and public addresses when testing geo-IP lookups, CDN rules, or internet-facing access control logic.
can I use randomly generated IPv4 addresses in a real production system
No — random IPs are for testing and development only. Assigning a random public IP to a real device risks conflicting with an existing internet host, causing routing failures, or violating your network policy. For production infrastructure, all IPs must be assigned by your ISP or network administrator.
how do I use generated IPs in a unit test for an IP validation function
Generate a batch using the public or private type, then paste the output as an array literal or load it from a fixture file in your test suite. Run your parsing or validation function against each entry to confirm it handles correctly formatted input. Mix both public and private types to cover range-specific edge cases in your logic.