Hash Generator

Instantly generate MD5, SHA-256, and SHA-512 hashes for text strings or uploaded files to verify data integrity.

Hash Generator

Output Format:

MD5

...

SHA-1

...

SHA-256

...

SHA-512

...
fact_check Reviewed by Senior Editor
verified Reviewed: Jul 28, 2026
update Updated: Jul 28, 2026
commit v2.0.0
schedule 5 min read

lightbulb When to use this tool

  • check_circle Verifying a downloaded file's integrity by computing its SHA-256 checksum and comparing with the publisher's stated hash.
  • check_circle Generating an MD5 hash of an email address to construct a Gravatar avatar URL (format: https://www.gravatar.com/avatar/[MD5_HASH]).
  • check_circle Creating a deterministic identifier from a string value — using SHA-256 as a hash key for caching or deduplication.
  • check_circle Testing hash output for a specific algorithm before implementing the same hashing logic in your application code.
  • check_circle Computing a checksum to verify data integrity during transmission or storage verification workflows.

Why use our tool?

Web Crypto API — Browser-Native Cryptographic Hashing

Four Algorithms — MD5, SHA-1, SHA-256, SHA-512

Uppercase and Lowercase Hex Output

Instant — No Submit Button

Your Input Is Never Transmitted

How it works

1

Type or paste the text you want to hash into the input area.

2

Select the algorithm from the algorithm selector: MD5, SHA-1, SHA-256, or SHA-512.

3

The hash output updates in real time in the output field.

4

Toggle 'Uppercase' if your target system requires uppercase hex output.

5

Click 'Copy' to copy the hash string to your clipboard.

Examples

science Gravatar Email Hash (MD5)

science File Integrity Verification (SHA-256)

Frequently Asked Questions

Can I reverse a hash to recover the original text? expand_more
No. Cryptographic hash functions are one-way mathematical transformations by design. Given a hash output, there is no algorithm that can reconstruct the input. This property (called preimage resistance) is the foundation of their security utility. What attackers can do is try a large number of candidate inputs and compare their hashes to the target (brute-force or dictionary attacks) — which is why using salted, purpose-built password hashing functions (bcrypt, Argon2, scrypt) rather than bare SHA-256 is essential for password storage.
Should I use MD5 or SHA-1 for security purposes? expand_more
No. MD5 and SHA-1 are cryptographically broken for security applications. MD5 hash collisions (two different inputs producing the same hash) have been demonstrated with practical attacks since 2004. SHA-1 was broken theoretically in 2005 and practically demonstrated (SHAttered attack) in 2017. For any security-sensitive application — password hashing, digital signatures, certificate fingerprints, HMAC — use SHA-256 or SHA-512. MD5 and SHA-1 remain acceptable for non-security uses like checksums, Gravatar IDs, and data deduplication where collision resistance is not a security requirement.
Is my input text sent to a server when I hash it? expand_more
No. Hashing uses the SubtleCrypto.digest() method from the Web Crypto API, which runs entirely in your browser's cryptographic processing context. The text you enter never leaves your device. This is true regardless of which algorithm you select.
Can I use this tool to hash passwords for storage in a database? expand_more
Do not use raw SHA-256 (or any general-purpose hash) for password storage. General-purpose hash functions are optimised to be fast — an attacker with a GPU can compute billions of SHA-256 hashes per second, making brute-force attacks practical. Password hashing requires purpose-built key derivation functions designed to be computationally expensive: bcrypt, Argon2, scrypt, or PBKDF2 with a high iteration count. These functions are slow by design, making brute-force attacks infeasible. Use a properly implemented authentication library in your backend for password hashing — never implement it manually.
What does the avalanche effect mean? expand_more
The avalanche effect is a property of well-designed hash functions: changing a single input bit produces a completely different output, with approximately 50% of output bits changing. Type a word, note the hash, then change one character — the entire hash output changes completely. This ensures that similar inputs have uncorrelated hashes, making it impossible to infer anything about the relationship between two inputs from their hashes.

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