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Random IPv4 Address Generator

Used by developers, writers, and creators worldwide.

A random IPv4 address generator saves developers, network engineers, and security researchers from inventing plausible-looking addresses by hand. IPv4 follows strict dotted-decimal notation — four octets, 0 to 255 — and this tool produces addresses that conform to that standard. Set the count (default 10, scale up for bulk seeding) and choose between public or private address type. Private ranges pull from all three RFC 1918 blocks: 10.x, 172.16–31.x, and 192.168.x, giving a realistic mix across network segments. Public output avoids loopback, link-local, and multicast reserved blocks, so addresses behave correctly in parsers, validators, and mock data pipelines. The result is a clean list you can copy straight into your project, database seed script, or API fixture without editing.

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How to use

  1. Choose your options above
  2. Click Generate
  3. Copy your result

Detailed instructions

  1. Set the 'How Many' field to the number of IPv4 addresses you need, from a single address up to a large batch.
  2. Select 'public' for globally routable-style addresses or 'private' for RFC 1918 LAN-range addresses using the Address Type dropdown.
  3. Click the generate button to produce your list of random IPv4 addresses instantly.
  4. Copy the output list and paste it directly into your database seed file, documentation, test fixture, or network diagram tool.

Use Cases

  • Seeding a Postgres staging database with varied source IP columns for realistic test data
  • Populating Jest or Pytest fixtures with public IPs to stress-test an IP validation function
  • Generating private RFC 1918 addresses to label nodes in a Visio or draw.io network diagram
  • Creating mock API responses in Postman that include realistic IP metadata fields
  • Building SIEM dashboard demos with varied log entries for security awareness training

Tips

  • Generate private addresses when populating Docker network configs or Kubernetes manifests to avoid accidentally using real public IPs.
  • Mix multiple batches — one public, one private — to simulate realistic network logs that include both internal and external traffic sources.
  • When testing IP validation regex or parsing functions, generate at least 50 addresses to expose edge cases involving high octet values like 255 or 0.
  • If your tool rejects addresses starting with certain octets, regenerate; the randomness means a fresh batch will quickly give you compliant results.
  • For SIEM or log analysis exercises, pair generated IPs with a random port generator to create fully realistic-looking connection entries.

FAQ

what is the difference between public and private IPv4 addresses

Private addresses — 10.0.0.0/8, 172.16.0.0/12, and 192.168.0.0/16 — are reserved for internal networks and cannot be routed across the public internet. Public addresses are globally routable. Choose private for LAN simulations and firewall testing, public for scenarios involving internet-facing traffic or geo-IP lookups.

are randomly generated IPv4 addresses safe to use in tests and docs

Yes, with one caveat: public addresses generated here may coincidentally match real hosts, so never use them as targets in live network requests or penetration tests. For documentation, code samples, unit tests, and offline environments they are completely safe and far better than obvious placeholders like 1.2.3.4.

does the generator avoid reserved IP ranges like loopback and multicast

Yes. The generator excludes loopback (127.0.0.0/8), link-local (169.254.0.0/16), multicast (224.0.0.0/4), and broadcast addresses. This means the output behaves realistically when fed into tools that validate or classify IP addresses, avoiding false positives from reserved-range detection.