Numeric UUID Generator

Generate various types of numeric identifiers and convert UUIDs to numeric format

ID Generation Settings

Configure the type and properties of numeric IDs to generate

Understanding Numeric UUID Generation

What are Numeric UUIDs?

Numeric UUIDs are unique identifiers that consist entirely of numbers, making them easier to work with in systems that prefer numeric data types. Unlike traditional UUIDs that use hexadecimal characters, numeric UUIDs provide the same uniqueness guarantees while maintaining readability and compatibility with numeric databases.

These identifiers are particularly useful in applications requiring sequential or timestamp-based sorting, database systems with numeric primary keys, or when integrating with systems that have limitations on character sets.

Types of Numeric IDs

  • •Timestamp-based: Uses current time plus random suffix for chronological ordering
  • •Pure Numeric: Random numbers with customizable length for maximum flexibility
  • •Snowflake-like: Distributed system IDs with timestamp, machine ID, and sequence
  • •UUID-Numeric: Standard UUIDs converted to pure numeric format

Practical Examples and Use Cases

Timestamp-Based IDs

Example: 17034567891234567
Format: [13-digit timestamp][4-digit random]

Best for: Order tracking, log entries, event sequencing, database records requiring chronological sorting.

These IDs naturally sort in chronological order, making them perfect for time-series data and applications where creation time is important for ordering or filtering.

Pure Numeric IDs

Examples: 8472951036, 156789234501, 9876543210123456
Customizable length: 8-50 digits

Best for: Customer IDs, product codes, invoice numbers, membership numbers.

Completely random numeric sequences that provide maximum flexibility in length and format. Ideal when you need predictable digit counts or specific formatting requirements.

Snowflake-Style IDs

Example: 1234567890123456789
Components: [41-bit timestamp][10-bit machine][12-bit sequence]

Best for: Distributed systems, microservices, high-volume applications, Twitter-like platforms.

These IDs encode multiple pieces of information: when they were created, which machine created them, and a sequence number. This ensures uniqueness across distributed systems while maintaining sortability.

Step-by-Step Tutorial

1

Choose Your ID Type

Select the type of numeric ID that best fits your use case. Consider whether you need chronological ordering, specific length requirements, or distributed system compatibility.

2

Configure Generation Settings

Set the number of IDs to generate (1-1000) and customize any type-specific parameters like length for pure numeric IDs. The tool provides sensible defaults for each type.

3

Generate and Export

Click generate to create your numeric IDs. Copy individual IDs, copy all at once, or export to a text file for integration with your applications.

4

Convert Existing UUIDs

Use the conversion tab to transform existing standard UUIDs into numeric format. This is useful when migrating systems or working with legacy data.

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Frequently Asked Questions

How unique are the generated numeric IDs?

Numeric IDs generated by this tool provide extremely high uniqueness probability. Timestamp-based IDs use millisecond precision with random suffixes, Snowflake IDs are designed for distributed systems with built-in collision avoidance, and pure numeric IDs use cryptographically secure random generation with customizable length for collision resistance.

Can I use these IDs as database primary keys?

Yes, these numeric IDs are excellent candidates for database primary keys. Timestamp-based and Snowflake IDs provide natural ordering which can improve database performance for range queries and joins. Pure numeric IDs work well when ordering isn't critical but you need guaranteed uniqueness and numeric format compatibility.

What's the difference between this and standard UUIDs?

Standard UUIDs use hexadecimal characters (0-9, A-F) and hyphens, while numeric UUIDs contain only digits (0-9). This makes them more compatible with systems that require pure numeric identifiers, easier to work with in some databases, and more human-readable when displayed as numbers.

Are these IDs suitable for security-sensitive applications?

While these IDs provide uniqueness and unpredictability, they should not be used as security tokens or secrets. For security-sensitive applications, use proper authentication tokens, API keys, or cryptographic signatures. These numeric IDs are best for identification purposes, not authentication or authorization.

How do I choose the right ID type for my application?

Choose timestamp-based for chronological ordering (logs, events), pure numeric for maximum flexibility and custom lengths (customer IDs, product codes), Snowflake for distributed systems requiring high throughput, and UUID-numeric when converting existing UUID-based systems to numeric format.

Can I generate IDs programmatically using this tool's algorithms?

The algorithms used in this tool are standard and can be implemented in any programming language. Timestamp-based IDs combine Date.now() with random numbers, Snowflake IDs follow the Twitter Snowflake specification, and pure numeric IDs use secure random number generation. The tool also provides export functionality for integration into your applications.