UUID Generator

Generate cryptographically-random v4 UUIDs in bulk, with hyphen and case options. Free, in your browser.

Version 4 (random) UUIDs generated with the browser's secure crypto API. Nothing leaves your device.

How to use the UUID Generator

  1. Set the count. Choose how many UUIDs to generate (up to 1000).
  2. Pick options. Toggle hyphens and uppercase.
  3. Generate & copy. Generate and copy them all at once.

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  • UUID v1/v7 options

About the UUID Generator

A UUID Generator creates Universally Unique Identifiers, the 36-character strings written as five hyphen-separated hex groups in the 8-4-4-4-12 pattern (for example, 3f2504e0-4f89-41d3-9a0c-0305e82c3301). This tool produces version 4 UUIDs, which fill 122 of the 128 bits with random data, leaving only the version and variant markers fixed. You can spot a v4 UUID at a glance: the 13th hex digit is always 4, and the 17th is always 8, 9, a, or b. Generate one at a time or a whole batch in bulk, then copy the results straight into your code, database seeds, test fixtures, or config files.

Reach for this when you need an identifier that is unique without a central authority handing out numbers. Because v4 UUIDs are pure randomness, two separate machines, services, or offline clients can mint IDs simultaneously and still trust they will not clash, which is why they show up as database primary keys, API request IDs, idempotency keys, file names, session tokens, and message IDs in distributed systems. They are also handy in everyday development: seeding a test database, naming temporary objects, or giving a record a stable handle before it ever hits storage. The 50% collision threshold sits around 2.71 x 10^18 generated values, so practical reuse is a non-issue.

Under the hood, a v4 generator asks the system for 16 random bytes from a cryptographically secure source, then overwrites a few bits to stamp in the version (4) and the RFC variant. The remaining 122 bits stay random, giving roughly 5.3 x 10^36 possible values. The hyphens are purely cosmetic and carry no data, and case does not matter since hex a-f is the same whether upper or lower. Unlike version 1 UUIDs, v4 embeds no timestamp and no MAC address, so it leaks nothing about the machine or the moment it was created; unlike v7, it is not sortable by creation time.

Accuracy and privacy note: this generator runs entirely in your browser using the platform's secure random API, so the UUIDs are produced locally and never sent to a server, logged, or stored by us. That makes it safe for generating IDs you may treat as secrets, such as session or download tokens. One caveat that applies to every v4 generator: the famous collision odds assume genuinely high-quality randomness. Browser crypto sources meet that bar, but if you ever generate UUIDs from a weak or predictable seed elsewhere, the statistical guarantees no longer hold.

Frequently asked questions

What version of UUID does this tool generate?

It generates version 4 UUIDs, the random variant defined in RFC 4122 (and carried forward in RFC 9562). You can confirm the version by checking the 13th hex digit, which is always 4 in a v4 UUID.

Can two generated UUIDs ever be the same?

In practice, no. A v4 UUID has 122 random bits and about 5.3 x 10^36 possible values; you would need to generate roughly 2.71 quintillion of them to reach even a 50% chance of a single collision. At a billion per second that takes around 86 years.

Are UUID v4 values safe to use as secret tokens?

They are unpredictable because they come from a cryptographically secure random source, which makes them reasonable for tokens. Still, treat them like any secret: transmit over HTTPS, store hashed where appropriate, and rotate them, since uniqueness is not the same as authorization.

Should I use UUID v4 or v7 for database primary keys?

Use v7 if index performance matters most, because its leading timestamp keeps rows roughly time-ordered and avoids B-tree fragmentation. Use v4 when you want pure randomness with no timestamp leakage; this tool produces v4.

Are UUIDs case-sensitive, and do the hyphens mean anything?

No on both counts. The hex digits a-f are identical in upper or lower case, and the four hyphens are purely visual separators that carry no data, though most systems expect the standard 36-character hyphenated format.

From our blog

How to Compare Two Texts and Actually Trust the Differences

By the Super Simple Digital Tools Team · Updated June 2026

Comparing two versions of a document by eye is one of those tasks that feels easy and goes wrong constantly. The human eye is excellent at reading meaning and terrible at catching a single transposed digit, a removed "not," or a clause that changed from "may" to "shall." A text diff checker removes that guesswork by mechanically aligning the two versions and coloring in every place they disagree. The skill worth learning is not how to run it, but how to read the output and how to set up your inputs so the differences it reports are the ones you care about.

Start by deciding which view fits the job. A side-by-side view is best when you want to read both versions in context, for example reviewing a rewritten paragraph or comparing two contract drafts where surrounding wording matters. A unified view stacks the changes into one column with plus and minus markers, which is denser and closer to what you would paste into a chat or commit message. Unified shines for code and config because it shows only the changed regions plus a few lines of context, so a small edit in a large file does not bury you in unchanged text.

Understanding what the tool is doing helps you trust it. Internally it solves the longest common subsequence problem: it finds the largest ordering of lines (or words) that both texts share, then everything outside that shared backbone becomes an addition or a deletion. The dominant method is Eugene Myers' 1986 algorithm, which frames the comparison as finding the shortest route through an edit graph and runs in O(ND) time, where D is the number of differences. Because git, GNU diff, and most review tools use this same family, the diff you see here is consistent with the diff your teammates see.

The most common surprise is a diff that flags things you cannot visually distinguish. This is the algorithm doing its job, not a bug. Trailing whitespace, a tab swapped for spaces, Windows versus Unix line endings, and curly versus straight quotes are all real byte-level differences. When that noise gets in the way, normalize your inputs first: strip trailing spaces, standardize line endings, or paste plain text rather than copying from a formatted editor. When precision is the whole point, such as auditing a legal change, leave them in so nothing slips past.

Finally, treat the diff as evidence, not a verdict. It tells you exactly where two texts differ, but it cannot tell you whether a change is intentional, correct, or dangerous. A diff can show that a license URL changed or that a tax rate moved from 18 to 1.8, but you still have to judge whether that edit should have happened. Used that way, with a sensible view, clean inputs, and your own review on top, a diff checker turns version comparison from a slow, error-prone chore into a fast and reliable check.

  • Use side-by-side for prose and contracts where context matters; switch to unified for code, config, and anything you will paste into chat or a commit.
  • Normalize line endings and strip trailing whitespace before diffing if you only care about real content changes, to cut out invisible noise.
  • Diff two JSON or API responses to instantly spot an added, removed, or renamed field instead of scanning nested objects by hand.
  • When verifying a revised contract or config, leave whitespace and quote differences in place so subtle but real edits are not hidden.

Read the full guide →

Tool by the Super Simple Digital Tools Team. Reviewed by our editorial team. Free to use, no signup required.

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