7 Best Alternatives to Nano ID for Unique IDs (2026)

Why look beyond Nano ID

Nano ID is a well-regarded library for generating unique identifiers, valued for its small footprint and performance across various programming languages. Its design prioritizes conciseness and efficiency, making it a strong candidate for many applications, particularly in resource-constrained environments or those sensitive to bundle size, such as frontend web applications or serverless functions. Nano ID's URL-friendly character set is also a distinct advantage for use cases like URL shortening or embedding IDs directly into web paths without requiring encoding.

However, specific project requirements might lead developers to explore alternatives. For instance, some applications may require IDs that strictly adhere to a recognized standard, such as UUID (Universally Unique Identifier), which offers broader compatibility across systems and industries. Other scenarios might prioritize human readability, sequential generation for easier sorting, or advanced features like timestamp embedding for chronological ordering. Projects with legacy systems or specific database indexing strategies might also benefit from ID formats that align more closely with existing infrastructure. While Nano ID offers customizability for its alphabet and length, these alternatives often provide distinct advantages or different trade-offs in terms of collision probability, ID structure, or integration complexity.

Top alternatives ranked

1. 1. UUID (various implementations) — Standardized unique identifiers

   UUIDs, or Universally Unique Identifiers, are 128-bit numbers used to uniquely identify information in computer systems. Standardized by RFC 4122, they are designed to be globally unique across space and time. Various implementations exist across nearly all programming languages, with the JavaScript uuid package being a widely adopted choice for Node.js and browser environments. UUIDs come in several versions (v1, v3, v4, v5), each with different generation mechanisms. Version 1 UUIDs incorporate a timestamp and MAC address, making them time-ordered and unique to the generating machine. Version 4 UUIDs are generated using random or pseudo-random numbers, offering high uniqueness without revealing system information. Version 3 and 5 are name-based, derived from a namespace and a name using cryptographic hashing.

   Developers often choose UUIDs when strict adherence to an industry standard is required, or when applications need to generate IDs that are highly unlikely to collide even in large, distributed systems. Their widespread adoption ensures compatibility and understanding across different platforms and services. While UUIDs are longer than Nano ID's typical output, their standardization provides a strong guarantee of uniqueness and interoperability.

   • Best for: Standardized unique identification, distributed systems, database primary keys, cross-platform compatibility.

   For JavaScript implementations, refer to the uuid package on npmjs.com. For the formal definition, consult the RFC 4122 standard document.

2. 2. shortid — Human-readable, URL-friendly IDs

   shortid is a JavaScript library designed to generate incredibly short, unique, and URL-friendly IDs. It prioritizes human readability and brevity, making its generated IDs suitable for contexts where users might see or type them, such as shortened URLs or user-facing identifiers. Unlike Nano ID's fixed alphabet and customizable length, shortid dynamically adjusts its internal alphabet and length to achieve uniqueness, aiming for the shortest possible ID. It leverages a combination of timestamp, counter, and worker ID to minimize collisions in concurrent environments.

   The library is an older alternative to Nano ID and was widely used for its convenience and the aesthetic appeal of its short IDs. However, it's important to note that shortid is no longer actively maintained. For new projects, this lack of maintenance might be a concern regarding future compatibility or potential undiscovered issues. Despite this, its existing feature set for generating concise, readable IDs remains relevant for projects not requiring ongoing updates or those willing to maintain their own forks. Its strength lies in its ability to produce IDs that are not only unique but also memorable and easy to integrate into user interfaces.

   • Best for: Short, human-readable IDs, URL shorteners (caution: unmaintained), simple unique identifiers.

   More information can be found on the shortid GitHub repository.

3. 3. cuid — Collision-resistant, ordered IDs for databases

   cuid, or Collision-resistant Unique Identifier, is a JavaScript library focused on generating IDs that are highly collision-resistant and naturally sortable by creation time. Its design aims to be friendly to various database systems, particularly those that benefit from sequential or semi-sequential indexing. A cuid is composed of several parts: a timestamp, a counter, a fingerprint of the host machine, and a random component. This combination helps ensure uniqueness while providing a degree of chronological order, which can improve database performance for certain workloads by minimizing random writes.

   Unlike purely random IDs (like UUID v4 or Nano ID), cuids exhibit some locality in their initial characters due to the timestamp component. This feature can be advantageous for applications that frequently query or sort records based on their creation time. The fingerprint component helps distribute uniqueness across multiple processes or machines. cuid is designed for situations where robust uniqueness is needed, but a desire for some chronological ordering and database-friendliness makes a purely random ID less optimal. It provides a good balance between uniqueness, sortability, and a relatively compact string representation.

   • Best for: Database IDs with chronological sorting benefits, distributed systems requiring some order, collision-resistant identifiers.

   Details on cuid's design and usage are available on its GitHub page.

4. 4. ObjectId (MongoDB) — Database-native unique IDs

   MongoDB's ObjectId is a 12-byte BSON type specifically designed for use as a primary key in MongoDB collections. It is composed of a 4-byte timestamp (seconds since epoch), a 5-byte random value, and a 3-byte incrementing counter. This structure ensures a high degree of uniqueness across different machines and processes, while also providing a natural chronological ordering. The timestamp component allows for efficient sorting by creation time, and the incrementing counter helps differentiate documents created within the same second by the same process.

   While primarily associated with MongoDB, the concept and implementations of ObjectId are available in various languages and can be used independently for generating unique, sortable identifiers. Its advantages include being compact, globally unique, and inherently providing a rough chronological order, which can be beneficial for indexing and querying performance in certain database systems. For projects heavily invested in the MongoDB ecosystem or those seeking an ID format with similar properties, ObjectId offers a robust and well-understood solution. It provides a structured approach to ID generation that balances randomness with sequential components.

   • Best for: MongoDB primary keys, chronologically sortable IDs, distributed system identifiers with creation time context.

   The official MongoDB documentation on ObjectId provides comprehensive details.

5. 5. uuidjs — Comprehensive UUID generation in JavaScript

   uuidjs is another JavaScript library dedicated to generating UUIDs, offering a comprehensive set of functions for creating various UUID versions (v1, v3, v4, v5). Similar to the more widely used uuid package, uuidjs provides robust, standard-compliant UUID generation. Its implementation details sometimes differ, but the core functionality of producing globally unique 128-bit identifiers remains consistent. This library is often chosen for its clear API and adherence to the RFC 4122 standard, ensuring that the generated IDs are universally recognized and compatible.

   The choice between uuidjs and other UUID libraries often comes down to specific project preferences, dependency management, or minor differences in API design or performance characteristics. For developers who need to generate different UUID versions—such as time-based (v1) for systems that benefit from some ordering, or name-based (v3/v5) for consistent IDs derived from specific inputs—uuidjs provides the necessary tools. Its focus on strictly adhering to the UUID standard makes it a reliable choice for applications where interoperability and strong uniqueness guarantees are paramount.

   • Best for: Standard-compliant UUID generation in JavaScript, projects needing specific UUID versions (v1, v3, v4, v5), robust uniqueness guarantees.

   Further information and usage examples are available on the uuidjs GitHub repository.

6. 6. Custom Implementations — Tailored ID generation logic

   For highly specific requirements, a custom ID generation implementation might be the most suitable approach. This involves writing bespoke code to generate unique identifiers based on project-specific logic, combining various components such as timestamps, random numbers, sequential counters, or hashing algorithms. For example, a system might concatenate a user ID, a timestamp, and a short random string, then base64 encode the result. This allows for fine-grained control over the ID's length, character set, structure, and embedded information, such as creation time or source identifier.

   The main advantage of custom implementations is complete flexibility. Developers can optimize for specific properties like extreme brevity, human readability, or specific sorting behavior that off-the-shelf libraries might not perfectly match. However, this approach also comes with the responsibility of ensuring sufficient uniqueness and collision resistance, which can be complex to design and test rigorously. It requires a deep understanding of probability and potential attack vectors. Custom solutions are best suited for projects with unique constraints that cannot be met by existing libraries, and where the development team has the expertise to implement and maintain a secure and reliable ID generation mechanism.

   • Best for: Highly specialized ID formats, specific embedded data requirements, extreme performance tuning, unique character set or length constraints.

   Developers can find guidance on implementing secure random number generation in various language documentation, such as MDN Web Docs for Crypto.getRandomValues() in JavaScript or Python's random module documentation.

7. 7. KSUID — K-Sortable Unique ID

   KSUID, or K-Sortable Unique ID, is an alternative ID format designed to be globally unique and lexicographically sortable by creation time, similar in principle to cuid and MongoDB's ObjectId but with a different structure. A KSUID is 27 characters long when encoded in base62 and consists of a 32-bit timestamp (seconds since epoch) and a 128-bit random payload. This combination ensures that KSUIDs generated at different times will sort correctly when compared as strings, without needing to parse the timestamp component separately. The random payload provides strong uniqueness guarantees.

   KSUIDs are particularly useful in distributed systems where IDs need to be generated independently across multiple nodes but still maintain global sortability. This property simplifies many database indexing and querying scenarios, as records can be naturally ordered by their creation time. The base62 encoding makes them URL-safe and relatively compact for their level of uniqueness and sortability. While primarily developed for Go, implementations exist in other languages. KSUID offers a compelling option for those seeking a robust, sortable, and globally unique identifier that is distinct from UUIDs while providing similar benefits to cuid but with a different internal structure and encoding.

   • Best for: Distributed systems requiring lexicographically sortable IDs, database IDs with chronological sorting, strong uniqueness with time context.

   The official specification and implementations can be explored on the KSUID GitHub repository.

Side-by-side

How to pick

Choosing the right unique ID generator depends heavily on your application's specific requirements, balancing factors like uniqueness guarantees, length, character set, sortability, and maintenance status. Here's a decision framework to guide your selection:

1. Do you require strict adherence to a global standard?

   • If yes, and your system needs IDs that are universally recognized and have strong, standardized collision resistance, then UUID is likely your best choice. It's the most widely adopted standard across various systems and programming languages.
   • If no, and a library-specific uniqueness guarantee is sufficient, proceed to the next question.

2. Is chronological sortability a critical feature for your database or data processing?

   • If yes, and you need IDs that naturally sort by creation time (beneficial for database indexing and queries), consider cuid, ObjectId (MongoDB), or KSUID. KSUID offers excellent lexicographical sortability for distributed systems, while ObjectId is tightly integrated with MongoDB and provides similar benefits. CUID is a general-purpose option with good chronological properties.
   • If no, and random distribution is acceptable or even preferred, proceed.

3. Is ID length and URL-friendliness a primary concern?

   • If yes, and you need very short, URL-safe IDs for use cases like URL shorteners or embedding in web paths, Nano ID is a strong contender due to its compact size and customizable URL-friendly alphabet. shortid also excels here but is unmaintained, which is a significant consideration for new projects.
   • If no, and a slightly longer ID is acceptable for stronger guarantees or different features, consider other options.

4. Are you working within a specific database ecosystem?

   • If you are using MongoDB, leveraging ObjectId is often the most natural and performant choice for primary keys, as it is designed for that environment.
   • For other databases, consider whether a sortable ID (like cuid or KSUID) aligns better with your indexing strategy than a purely random one (like UUID v4 or Nano ID).

5. Do you have highly unique, custom requirements that existing libraries don't meet?

   • If yes, and you need complete control over the ID structure, embedded information, or generation logic, a Custom Implementation might be necessary. Be prepared to invest significant effort in ensuring uniqueness and collision resistance.
   • If no, and one of the established libraries fits your needs, it's generally safer and more efficient to use a well-tested, maintained solution.

6. Consider maintenance status:

   • For new projects, prefer actively maintained libraries like Nano ID, UUID (via various implementations), cuid, ObjectId, or KSUID. Libraries like shortid, while functional, pose a risk due to inactivity.

By systematically evaluating these factors against your project's constraints and priorities, you can select the most appropriate unique ID generation strategy.