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UUID Generator
Generate RFC 4122 version 4 UUIDs for databases, test data, and distributed systems.
Output will appear here.About this UUID Generator
UUID Generator creates RFC 4122 version 4 UUIDs in your browser. UUIDs are the practical default for primary keys, idempotency tokens, request IDs, and any identifier that needs to be globally unique without coordination. The generator produces standards-compliant values, supports batch generation, and runs entirely on the client - perfect for development, testing, seed data, and ad-hoc operational tasks.
This page is statically generated for organic search and enhanced with client-side interactivity for privacy. The tool is useful for quick checks, documentation, QA workflows, and repeat production tasks where copying reliable output matters.
How to use UUID Generator
- Paste or enter the source value.
- Adjust the available options for your workflow.
- Review the output and copy it when it is ready.
Key features
- Generate cryptographically random version 4 UUIDs
- Produce single values or batches of 10, 100, or 1000
- Output in standard 36-character form, no-dash form, or upper case
- Copy single values or a newline-separated batch with one click
- Use the browser's crypto.getRandomValues for strong randomness
- Zero data leaves the browser
Use cases
Database primary keys
Use UUIDs as primary keys when you want to assign IDs client-side, avoid leaking row counts, or merge data from multiple sources.
Idempotency keys
Generate a UUID for each idempotent API request so retries do not double-charge or double-create.
Trace and correlation IDs
Attach a UUID to every request that flows through a distributed system to make logs joinable across services.
Test fixtures and seed data
Generate predictable batches of UUIDs for unit tests, integration tests, and database seeders.
Feature flag rollouts
Hash user IDs (UUIDs) into a percentage bucket for gradual rollouts and A/B experiments.
Usage examples
UUID Generator example
Paste or enter your content in the tool workspace.
The generated output is ready to copy, compare, or reuse.
In-depth guide
Why version 4?
Version 4 UUIDs are generated from 122 bits of randomness (the remaining 6 bits encode the version and variant). The probability of a collision is astronomically small - generating one billion UUIDs per second for 85 years would give roughly a 50% chance of one collision. For nearly every application, this means UUIDs are 'unique enough' without coordination.
Version 7 and time-ordered UUIDs
Version 4 UUIDs are unordered, which can hurt database performance because new rows insert into random positions in the index. Version 7 UUIDs encode a millisecond Unix timestamp in the first 48 bits, so newly generated values are roughly sortable. For high-insert tables on Postgres or MySQL, prefer v7 (or ULID) over v4. This tool focuses on v4 because it is the most universally supported and best understood.
UUIDs versus ULIDs versus NanoIDs
ULIDs are 26-character, time-sortable, URL-safe identifiers - useful when sort order matters. NanoIDs are configurable-length, URL-safe random strings with a custom alphabet - useful for short user-facing IDs. UUIDs remain the right choice for cross-system interop, especially when you connect to legacy systems, cloud services, or relational databases that all already understand them.
Storage and indexing
Stored as a string, a UUID takes 36 bytes; stored as binary (BINARY(16) in MySQL or UUID in Postgres), it takes 16 bytes. Always store the binary form in databases that support it for size and index performance. For high-cardinality joins, consider partitioning by a hash prefix of the UUID.
Security considerations
UUIDs are unique but not secret. Do not treat them as authentication tokens, password reset links, or any value where unpredictability matters for security. They are 'unguessable enough' to use in URLs but not strong enough to substitute for a proper session token or signed link.
UUIDs in distributed systems
In distributed systems, UUIDs solve the assignment problem: who gives out IDs without a single coordinator? Every node can generate its own UUID with negligible collision risk, and the result is immediately globally addressable. That property powers event sourcing systems, message queues, multi-region databases, and offline-first mobile apps that sync later. The tradeoff is that UUIDs are larger than auto-incrementing integers and slightly worse for cache locality. For most modern systems, the operational simplicity is worth the cost. Where it is not (extremely high-volume tables, tight memory budgets), consider Snowflake IDs, ULIDs, or hybrid schemes that mix node ID, timestamp, and counter.
Migrating away from auto-increment IDs
Teams often migrate from auto-incrementing integers to UUIDs as their system grows. The migration is non-trivial: foreign keys, indexes, application code, and any URL that exposes IDs all need updates. The benefits arrive gradually - safer multi-region deployments, the ability to assign IDs client-side, easier sharding. Plan the migration in stages: add a UUID column alongside the integer, backfill, switch foreign keys, then deprecate the integer. Keep the old IDs available for at least one release cycle so external partners have time to update. The UUID Generator is your daily companion through the migration, producing seed data, test fixtures, and backfill values.
Pro tips
Best practices
Related keywords
uuid generator, guid generator, random uuid, uuid v4.
Frequently asked questions
Is the UUID Generator free to use?
Yes. The UUID Generator runs in your browser and is designed for quick everyday work without an account.
Does the UUID Generator upload my data?
No. Interactive processing happens client-side unless you later connect your own backend or analytics services.
When should I use this tool?
Generate RFC 4122 version 4 UUIDs for databases, test data, and distributed systems.
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