Data

Random IP Address Generator

Details

How to use Random IP Address Generator

What the tool does, how to run it, and what to expect from the result.

How to generate random IP addresses for testing

Mock data needs to look real without being real. IP addresses are a common field in log fixtures, analytics test data, geo-lookup stubs, and seed databases, and typing 200 of them by hand is nobody's job. The important choice is scope: private addresses are inert, public ones belong to someone.

This generator builds the list in your browser. Pick the version, pick the scope, say how many, and copy the block straight into your fixture file.

  • Enter how many addresses you need, from 1 to 5000.
  • Choose IPv4, IPv6, or both (both alternates between the two).
  • For IPv4, choose any address, private ranges only, or public only.
  • Click Generate, then Copy result to put the newline-separated list on your clipboard.
Tips

Getting a better result out of Random IP Address Generator

Specific settings and thresholds, not general advice.

  • If you are writing test fixtures, use the private range option. RFC 1918 addresses (10.0.0.0/8, 172.16.0.0/12, 192.168.0.0/16) can never be routed on the public internet, so a fixture that leaks into a real request cannot reach a stranger's machine.
  • The public option avoids first octets 0, 10, 127, 169, 172, 192, and anything above 223, so it never emits loopback, link-local, or multicast. It is deliberately conservative: it also skips legitimate public blocks that merely start with 172 or 192.
  • For documentation and screenshots, prefer the reserved doc ranges from RFC 5737 (192.0.2.0/24, 198.51.100.0/24, 203.0.113.0/24) by hand. Random public-looking addresses are owned by someone, and printing one in a tutorial is how people get accidental traffic.
  • The generator uses Math.random, not crypto.getRandomValues, and does not deduplicate. Ask for 5000 IPv4 addresses and you will get duplicates by the birthday problem long before you exhaust the space of a /8.
  • IPv6 output is always the full uncompressed eight-hextet form (2001:0db8:...), never the :: shorthand. If your parser is being tested for zero-compression handling, this tool will not produce that case for you.
Limits

What Random IP Address Generator does not do

The honest boundary, so you do not lose time finding it yourself.

  • Maximum 5000 addresses per run.
  • No CIDR or subnet input. You cannot say 10.42.0.0/16 and get addresses inside it.
  • IPv6 has no private/ULA/link-local scope option and is never zero-compressed.
  • Addresses are not deduplicated and are not cryptographically random.
At a glance

Who Random IP Address Generator is for

A quick way to understand who this helps, what it solves, and where it connects next.

Best fit

Developers generating IPs for tests.

Ideal for

Using the random ip address generator without installing anything or signing up.

FAQ

Common questions

Short answers for the questions people usually have before trying a utility like this.

Are these safe to put in a public tutorial or blog post?

The private ones are. A public-looking address such as 84.12.9.201 belongs to a real organisation, and publishing it in a code sample means readers may copy it into a script and send it real traffic. For documentation, use the RFC 5737 blocks that exist for exactly this purpose: 192.0.2.x, 198.51.100.x, and 203.0.113.x.

Can I generate addresses inside a specific subnet?

Not directly. There is no CIDR field. The private option gives you 10.x.x.x, 172.16-31.x.x, or 192.168.x.x picked at random, which covers most local-network test data, but if you need addresses inside, say, 10.42.7.0/24 you will need to build them yourself.

Why does the public option exclude 172 and 192 entirely?

Only part of each is reserved (172.16.0.0/12 and 192.168.0.0/16), but the generator excludes the whole first octet rather than doing range arithmetic. It errs toward never emitting a private or reserved address, at the cost of never emitting the public parts of 172.x and 192.x either.

Will the list contain duplicates?

It can. Each address is drawn independently and there is no deduplication pass. Across the full IPv4 space a duplicate in 5000 draws is very unlikely, but with the private 192.168 option, where only the last two octets vary, duplicates are common. Deduplicate downstream if uniqueness matters.

Are the addresses random enough for security work?

No. They come from Math.random, which is a fast pseudorandom generator, not the cryptographically secure crypto.getRandomValues. That is fine for mock data, sample logs, and load-test fixtures, and it is not fine for anything where an attacker predicting the next value would matter.

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