Random String Generator

Generate secure random strings, tokens, and UIDs locally

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Presets
Alphanumeric
Password
Hex (0-F)
PIN (0-9)
Base64-like
Length: 16
Character Set

Cryptographically Strong: Uses window.crypto.getRandomValues for high entropy.

Frequently Asked Questions

A random string generator creates sequences of characters using randomization algorithms. Developers use them for creating session IDs, API tokens, unique identifiers (UIDs), temporary passwords, database salt values, CSRF tokens, test data, and unique filenames. Our generator uses cryptographically secure randomness suitable for security applications.

Yes, our generator is cryptographically secure. It uses window.crypto.getRandomValues(), the Web Cryptography API's secure random number generator. This provides high-entropy randomness suitable for security-sensitive applications like tokens, session IDs, and cryptographic keys—unlike Math.random() which is predictable.

To create a random alphanumeric string: Select the "Alphanumeric" preset or check A-Z, a-z, and 0-9 options. Set your desired length (common lengths: 8, 16, 32, or 64 characters). Click Generate. The output contains only letters (uppercase + lowercase) and numbers—perfect for IDs, usernames, and URL-safe tokens.

Random strings are customizable in length and character set, making them flexible for various uses. UUIDs (Universally Unique Identifiers) follow a specific 128-bit format (36 characters with hyphens) designed for distributed systems. Use random strings when you need custom formats; use UUIDs when you need standardized, globally unique identifiers.

For security-sensitive tokens: 16 characters minimum for basic security (e.g., password reset tokens), 32 characters for API keys and session tokens, 64+ characters for high-security cryptographic keys. Always use the full alphanumeric + symbols character set to maximize entropy per character.

Complete Guide to Random String Generation

Understanding Random String Generators: Essential Tools for Developers

A random string generator is an indispensable tool in modern software development and security practices. Whether you're building web applications, managing databases, or implementing authentication systems, the need for unpredictable, unique strings arises constantly. From session tokens that secure user logins to API keys that authenticate service requests, random strings form the backbone of modern application security.

Our free random string generator online provides cryptographically secure random strings directly in your browser. Unlike basic random number generators that use predictable algorithms, our tool leverages the Web Cryptography API's crypto.getRandomValues() function, which draws from your operating system's entropy pool to generate truly unpredictable random data. This makes our generator suitable not just for test data, but for production security tokens.

How Our Random Alphanumeric Generator Works

The random alphanumeric generator creates strings by randomly selecting characters from your chosen character pool. Here's the process:

  1. Character pool creation: Based on your selections (uppercase, lowercase, numbers, symbols), we build the available character set
  2. Cryptographic randomness: The Web Crypto API generates random bytes with maximum entropy
  3. Character mapping: Each random value is mapped to a character in your pool using modular arithmetic
  4. String assembly: Characters are concatenated to reach your specified length

The result is a string where each character position has an equal probability of being any character in your pool, with no discernible pattern or predictability.

Types of Random Strings and Their Uses

Understanding the different types of random strings helps you choose the right format for your application:

Alphanumeric Strings (A-Z, a-z, 0-9): The most versatile format, alphanumeric strings work everywhere—URLs, file names, database keys, and user-facing codes. With 62 possible characters per position, a 16-character alphanumeric string provides approximately 95 bits of entropy, making it highly secure.

Hexadecimal Strings (0-9, A-F): Our random hex generator creates strings using only hexadecimal characters. These are ideal for cryptographic applications, color codes, hash representations, and binary data encoding. Hex strings are commonly used in API keys and tokens because they're easy to validate programmatically.

Numeric PINs (0-9): When you need numbers only—verification codes, one-time passwords (OTPs), or numeric identifiers—the PIN preset generates digit-only strings. Note that numeric-only strings have lower entropy per character, so use longer lengths for security applications.

Password-Safe Strings (with symbols): Including symbols (!@#$%^&*) dramatically increases entropy per character. A 12-character password with symbols is stronger than a 16-character alphanumeric password. Use this format for generating temporary passwords or encryption keys.

Random Token Generator: Security Best Practices

When using our random token generator for security-sensitive applications, follow these best practices:

  • Use sufficient length: For session tokens and API keys, use at least 32 characters. For password reset tokens, 16-24 characters is acceptable for short-lived tokens
  • Maximize character set: Include uppercase, lowercase, numbers, and optionally symbols to maximize entropy per character
  • Avoid predictable patterns: Never use sequential generation or patterns—always use true randomness
  • Token expiration: Implement expiration times for all security tokens to limit the window of vulnerability
  • Secure storage: Store tokens securely—hash them if they're for authentication, and use encrypted storage
  • Single use: For sensitive operations (password resets, email verification), make tokens single-use

Secure Random String Generation in Different Contexts

Different applications have different requirements for secure random strings:

Session IDs: Web applications use random strings as session identifiers to track logged-in users. These should be 32+ characters, expire after inactivity, and regenerate after authentication events. Never expose session IDs in URLs.

API Keys: Application programming interface keys authenticate services. Generate 32-64 character strings with high entropy. Consider prefixing with identifiable markers (e.g., "sk_live_") for easy identification while keeping the random portion secure.

Password Reset Tokens: These enable password recovery flows. Use 16-24 character tokens that expire within 1-24 hours. Hash the token before storing in your database, and invalidate after use.

CSRF Tokens: Cross-Site Request Forgery tokens protect form submissions. Generate unique tokens per session or per request, embed them in forms, and validate on the server side.

Unique Identifiers: When database auto-increment IDs expose information (like user count), random strings provide obscured, unpredictable identifiers. Consider URL-safe base64 encoding for web applications.

Understanding Entropy and Randomness Quality

Entropy measures the unpredictability of random data. Our random character generator maximizes entropy through:

  • Cryptographic source: Using the OS entropy pool via Web Crypto API, not pseudo-random algorithms
  • Uniform distribution: Each character in the pool has equal probability of selection
  • No patterns: Output has no correlation between positions or across generations

To calculate entropy: For a character set of size N and length L, entropy = L × log₂(N) bits. A 32-character alphanumeric string (N=62) provides about 190 bits of entropy—far beyond brute-force attack capability.

Programming Language Integration

While our online random string generator is perfect for quick generation, here's how to implement similar functionality in code:

JavaScript: Use crypto.getRandomValues() for secure randomness. Node.js offers crypto.randomBytes().

Python: The secrets module provides secrets.token_hex() and secrets.token_urlsafe() for secure token generation.

PHP: Use random_bytes() or random_int() for cryptographically secure random generation.

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