Random UUID Generator

UUID Configuration

Advanced Options

Instructions

  1. Select UUID version (v4 recommended for most use cases)
  2. Choose number of UUIDs to generate (1-100)
  3. Select output format (standard 8-4-4-4-12 is most common)
  4. Optionally enable uppercase letters for consistency
  5. Click "Generate UUIDs" to create your unique identifiers

Your generated UUIDs will appear here

0
UUIDs Generated
v4
UUID Version
36
Characters Each
122
Bits of Entropy

Your generation history will appear here

🎧 Listen to the UUID Generator Guide

Prefer listening? Hit play and get a quick walkthrough of how to use our UUID generator tool. Learn about different UUID versions and when to use them—powered by ClayDesk.AI.

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Disclaimer:

This tool generates UUIDs using cryptographically strong random number generators when available. While the probability of duplicate UUIDs is extremely low, we cannot guarantee uniqueness. For mission-critical applications, consider additional validation mechanisms.

How Our Random UUID Generator Works

Cryptographic Randomness

Version 4 UUIDs use cryptographically secure random number generation to ensure maximum uniqueness across distributed systems.

Standard Compliance

Our generator follows RFC 4122 specifications for UUID formats, ensuring compatibility with all major databases and programming languages.

Security Focused

All UUID generation happens client-side in your browser. No identifiers are transmitted to our servers, ensuring complete privacy.

The Complete Guide to UUIDs: Generation, Versions and Best Practices

This comprehensive guide explains Universally Unique Identifiers (UUIDs), their different versions, generation methods, and when to use each type in your applications. Our random UUID generator provides RFC 4122 compliant identifiers for all your development needs.

Understanding UUID Versions

UUIDs come in several versions, each with different generation methods and use cases. Here's a comparison of the most common versions:

Version Generation Method Uniqueness Use Cases Example
Version 1 Timestamp + MAC address Time-based uniqueness Legacy systems, ordered IDs c2d3e4f5-6789-1b2c-3d4e-5f6g7h8i9j0k
Version 3 MD5 hash of namespace + name Deterministic Repeatable identifiers 3d813cbb-47fb-32ba-91df-831e1593ac29
Version 4 Random or pseudo-random Probabilistic General purpose IDs a1b2c3d4-e5f6-4a7b-8c9d-0e1f2a3b4c5d
Version 5 SHA-1 hash of namespace + name Deterministic URLs, DNS identifiers 5df41881-3aed-3515-88a7-2f4a814cf09e

Did You Know?

The probability of a duplicate version 4 UUID is approximately 1 in 2.71 quintillion (10^18) when properly generated. You'd need to generate 1 billion UUIDs per second for about 85 years to have a 50% chance of a collision.

When to Use Different UUID Versions

Choosing the right UUID version depends on your specific requirements:

Version 4 (Random)

The most commonly used version. Ideal when you need completely unique identifiers without any predictable pattern. Used in distributed systems, database primary keys, and session identifiers.

Version 1 (Time-based)

Use when you need time-ordered UUIDs or when working with legacy systems. Contains timestamp and MAC address, which can be privacy concern in some applications.

Version 3/5 (Namespace-based)

Use when you need to generate the same UUID repeatedly from the same input (like a URL or name). Version 5 (SHA-1) is preferred over version 3 (MD5) for security.

Nil UUID

Special case (00000000-0000-0000-0000-000000000000) used as a placeholder or default value. Not suitable for actual identification purposes.

UUID Format Variations

While the standard 8-4-4-4-12 hexadecimal format is most common, UUIDs can be represented in several ways:

Format Description Example Compatibility
Standard 8-4-4-4-12 hexadecimal 123e4567-e89b-12d3-a456-426614174000 Universal
URN Prefixed with "urn:uuid:" urn:uuid:123e4567-e89b-12d3-a456-426614174000 Web services
Braces Enclosed in curly braces {123e4567-e89b-12d3-a456-426614174000} Some Windows APIs
No Hyphens 32 continuous characters 123e4567e89b12d3a456426614174000 Compact storage
Base64 22 character encoding Ej5FZ+ibEtOkVkJhF0AA URL-safe identifiers

How to Generate UUIDs in Different Programming Languages

Most modern programming languages provide built-in support for UUID generation. Here are examples for common languages:

// JavaScript (Node.js)
const { v4: uuidv4 } = require('uuid');
console.log(uuidv4()); // '1b9d6bcd-bbfd-4b2d-9b5d-ab8dfbbd4bed'

# Python
import uuid
print(uuid.uuid4())  # 'f47ac10b-58cc-4372-a567-0e02b2c3d479'

// Java
import java.util.UUID;
UUID id = UUID.randomUUID();
System.out.println(id); // "e58ed763-928c-4155-bb9d-5f7e6d8a6e80"

// C#
using System;
Guid id = Guid.NewGuid();
Console.WriteLine(id); // "a3f4e5b6-7c8d-4e9f-a1b2-c3d4e5f6a7b8"

-- PostgreSQL
SELECT uuid_generate_v4(); -- 'a0eebc99-9c0b-4ef8-bb6d-6bb9bd380a11'

# PHP
use Ramsey\Uuid\Uuid;
$uuid = Uuid::uuid4();
echo $uuid; // '25769c6c-d34d-4bfe-ba98-e0ee856f3e7a'

Performance Considerations:

When generating large numbers of UUIDs, consider these performance factors:

  • Cryptographic safety: Version 4 UUIDs should use cryptographically secure random number generators (CSPRNG)
  • Bulk generation: Some libraries offer batch generation methods that are more efficient
  • String conversion: Generating UUIDs as binary (16 bytes) is faster than string representation
  • Database storage: Store as UUID/BINARY(16) type rather than VARCHAR(36) for better performance

UUID Collision Probability Explained

While UUIDs are designed to be unique, understanding collision probability helps in system design:

Number of UUIDs Collision Probability Equivalent Chance Time to Generate*
1 trillion 1 in 3.6×10¹⁵ Winning lottery 4 times 17 minutes
1 quadrillion 1 in 3.6×10¹² Meteorite hitting your house 11.5 days
1 quintillion 1 in 3.6×10⁹ Royal flush in poker 31.7 years
2.71 quintillion 50% chance Coin flip 85 years

* At 1 billion UUIDs per second

Database Support for UUIDs

Most modern databases have excellent support for UUID storage and operations:

PostgreSQL

Native UUID type with uuid_generate_v1(), uuid_generate_v4() functions. Excellent indexing performance with uuid-ossp extension.

MySQL

UUID() function generates version 1 UUIDs. Store as CHAR(36) or BINARY(16). MySQL 8.0+ has UUID_TO_BIN()/BIN_TO_UUID() functions.

MongoDB

ObjectId is default but supports UUID as BinData. Drivers provide UUID helpers. Can use as _id field with appropriate binary subtype.

SQL Server

UNIQUEIDENTIFIER type stores 16-byte binary. NEWID() creates version 4 UUIDs. NEWSEQUENTIALID() creates ordered GUIDs.

Oracle

SYS_GUID() function generates 16-byte RAW values. Can be converted to string representation with RAWTOHEX().

SQLite

No native UUID type but extensions available. Typically stored as TEXT(36). Can use blob for binary storage.

Security Considerations for UUIDs

While UUIDs are not designed as security tokens, these practices help prevent issues:

Warning

1. Version 1 UUID Privacy

Version 1 UUIDs contain MAC address and timestamp. Avoid exposing these in public APIs or client-side code as they can reveal system information.

Tip

2. Predictability Risks

Poor random number generators can make version 4 UUIDs predictable. Always use cryptographically secure RNGs for security-sensitive applications.

Best Practice

3. Access Control

Don't rely on UUID randomness for security. Implement proper access control even for "unguessable" UUIDs, as they may be discovered through other means.

Note

4. Session Fixation

When using UUIDs for session tokens, ensure proper rotation and invalidation mechanisms to prevent session fixation attacks.

Consider

5. Information Leakage

Sequential or time-ordered UUIDs may reveal information about system load or record creation patterns. Consider this in threat modeling.

UUID Best Practices

Follow these guidelines for optimal UUID usage in your applications:

Default to Version 4

Unless you need specific features of other versions, version 4 (random) UUIDs are the safest choice for most applications.

Store as Binary

When possible, store UUIDs as 16-byte binary rather than 36-character strings to save space and improve performance.

Index Properly

UUIDs as primary keys can lead to index fragmentation. Consider auto-increment integers internally with UUID external references.

Namespace Usage

For version 3/5 UUIDs, use appropriate namespaces (like DNS or URL) when generating from names.

Validation

Validate UUID format and version when accepting from external sources to prevent malformed input.

Readability

For user-facing contexts, consider prefixing with object type (e.g., "user_123e4567...") for better readability.

Common UUID Implementation Mistakes

Mistake

Using Math.random() for Version 4 UUIDs

JavaScript's Math.random() is not cryptographically secure. Use crypto.getRandomValues() or a dedicated UUID library instead.

Mistake

Assuming Uniqueness Across Systems

While UUIDs are designed to be unique, always have contingency plans for handling duplicates in distributed systems.

Mistake

Using UUIDs as Security Tokens

UUIDs are not designed to be cryptographically secure tokens. Use proper authentication tokens instead.

Mistake

Ignoring Database Performance

UUID primary keys can cause index fragmentation. Consider alternatives like UUIDv7 (time-ordered) or composite keys.

Mistake

Hardcoding Namespace UUIDs

When using version 3/5 UUIDs, don't create your own namespace UUIDs - use standard ones like DNS, URL, or OID.

Whether you're developing distributed systems, working with databases, or just need unique identifiers for your application, our random UUID generator provides RFC 4122 compliant identifiers in multiple formats. The tool supports all major UUID versions and output formats to meet your specific requirements.

Frequently Asked Questions

A UUID (Universally Unique Identifier) is a 128-bit number used to uniquely identify information in computer systems. Key advantages include:

  • Uniqueness: Extremely low probability of duplicates
  • Decentralized generation: Can be created without coordination
  • Standard format: Recognized across platforms and languages
  • Opaque values: Don't reveal information about the object

Common uses include database primary keys, distributed system identifiers, session tokens, and tracking unique objects across different systems.

The main UUID versions differ in how they generate uniqueness:

  • Version 1: Time-based + MAC address (potentially predictable)
  • Version 3: MD5 hash of namespace + name (deterministic)
  • Version 4: Random/pseudo-random numbers (most common)
  • Version 5: SHA-1 hash of namespace + name (deterministic)

Version 4 is recommended for most applications as it provides the best combination of uniqueness and privacy.

Version 4 UUIDs have 122 random bits, making duplicates extremely unlikely:

  • To have a 1% chance of collision, you'd need to generate 2.71 quintillion UUIDs
  • At 1 billion UUIDs per second, this would take about 85 years
  • The probability is many orders of magnitude lower than hardware errors

In practice, implementation flaws (like poor random number generators) are more likely to cause issues than true randomness collisions.

UUIDs are not designed as security tokens and have several limitations:

  • No built-in expiration or revocation mechanism
  • If generated with poor randomness, may be predictable
  • No integrity protection - can be modified while maintaining valid format
  • Standard formats may leak information (version 1 contains MAC address)

For authentication, use purpose-built tokens like JWT with proper cryptographic signatures and security controls.

Optimal UUID storage depends on your database system:

  • PostgreSQL: Native UUID type (stores as 16 bytes)
  • MySQL: BINARY(16) for binary storage or CHAR(36) for strings
  • SQL Server: UNIQUEIDENTIFIER type (16 bytes)
  • MongoDB: BinData with UUID subtype
  • General: Avoid VARCHAR/CHAR unless needed for compatibility

Binary storage uses less space (16 vs 36 bytes) and typically has better performance for comparisons and indexing.

UUIDs can work as primary keys but have some tradeoffs:

  • Advantages: Unique across systems, can generate offline, no central coordination needed
  • Disadvantages: Larger size (16 bytes vs 4-8 for integers), random nature can cause index fragmentation
  • Alternatives: Consider UUIDv7 (time-ordered), or composite keys with auto-increment + UUID

For high-volume systems, benchmark with your specific database as performance characteristics vary.

Version 3 and 5 UUIDs generate deterministic identifiers from names within namespaces:

  • Use cases: Generating consistent UUIDs from URLs, DNS names, or other known strings
  • Standard namespaces: DNS, URL, OID, X.500 DN (defined in RFC 4122)
  • Example: UUID for "example.com" in DNS namespace will always be the same
  • Difference: v3 uses MD5 (128-bit), v5 uses SHA-1 (160-bit) hash

These are useful when you need to repeatedly generate the same UUID for the same input.

While not yet part of RFC 4122, several new UUID versions are in development:

  • Version 6: Reordered version 1 for better DB performance
  • Version 7: Time-ordered with random bits (better than v4 for indexes)
  • Version 8: Custom formats for specialized use cases
  • ULID: Alternative to UUID with time-based ordering

These aim to address performance issues with random UUIDs in database indexes while maintaining uniqueness.

Most languages provide UUID validation in their standard libraries:

  • JavaScript: Use regex like /^[0-9a-f]{8}-[0-9a-f]{4}-[1-5][0-9a-f]{3}-[89ab][0-9a-f]{3}-[0-9a-f]{12}$/i
  • Python: uuid.UUID(uuid_string) catches invalid formats
  • Java: UUID.fromString() throws IllegalArgumentException for invalid
  • C#: Guid.TryParse() returns false for invalid
  • PHP: Ramsey\Uuid\Uuid::isValid($uuid)

Always validate external UUIDs before processing to prevent malformed input issues.

Several alternatives exist depending on your requirements:

  • Database sequences: Simple integers, require central coordination
  • Snowflake IDs: Time-based with worker ID and sequence
  • ULIDs: 128-bit like UUID but time-ordered for better indexing
  • CUID: Collision-resistant IDs designed for horizontal scaling
  • NanoID: Compact URL-friendly unique IDs
  • MongoDB ObjectId: 12-byte timestamp + machine + process + counter

Choose based on your specific needs for ordering, size, and distribution requirements.