The Hash Generator computes MD5, SHA-1, SHA-256, SHA-512, SHA3-256, SHA3-512, and BLAKE2b-512 cryptographic hashes from any text or file, entirely in your browser. Hashes are used to verify file integrity, detect data tampering, and generate unique content fingerprints. All computation happens locally — your data is never uploaded.
Frequently Asked Questions
What is a cryptographic hash?
A hash is a fixed-length string produced by a one-way mathematical function. The same input always produces the same hash, but you cannot reverse a hash back to the original input.
Which hash algorithm should I use?
For security-sensitive uses, prefer SHA-256, SHA-512, SHA3-256, or BLAKE2b. MD5 and SHA-1 are cryptographically broken and should only be used for checksums, not passwords or digital signatures.
When should I choose SHA-3 over SHA-2?
SHA-2 (SHA-256/SHA-512) remains secure and is the default choice for most applications — it is ubiquitous, fast in hardware, and has no known practical weaknesses. SHA-3 (SHA3-256/SHA3-512) uses an entirely different internal construction (the Keccak sponge) and is a good pick when you want cryptographic diversity against a future SHA-2 break, or when a protocol specifically mandates it. The two produce different digests for the same input and are not interchangeable.
What is BLAKE2b used for?
BLAKE2b-512 is a modern hash function that is typically faster than SHA-2 and SHA-3 in pure software while offering comparable security. It is a good pick for content-addressable storage, deduplication, and file fingerprinting where throughput matters. Note that BLAKE2 has a built-in keyed mode that is the idiomatic way to authenticate messages with it; HMAC-BLAKE2b works here but is rarely seen in practice.
Can I use SHA-256 to hash passwords?
No. General-purpose hashes are too fast for password hashing. Use bcrypt, Argon2, or scrypt instead — they are specifically designed to resist brute-force attacks.
Why do two different tools give the same SHA-256 hash for the same input?
Hash functions are deterministic — identical inputs always produce identical outputs, regardless of which tool computed them.