Compute All Hashes at Once — MD5, SHA-1, SHA-256, SHA-512, SHA-3, BCrypt, Argon2id
Enter one string and instantly compute MD5, SHA-1, SHA-256, SHA-512, SHA-3, BCrypt, and Argon2id hashes side by side for comparison. All computation happens in your browser — nothing is sent to a server.
What Is Bulk Hash Computation?
This tool lets you enter a single string and instantly see the results of seven hash algorithms at once — MD5, SHA-1, SHA-256, SHA-512, SHA-3, BCrypt, and Argon2id — laid out side by side for comparison. Instead of switching between separate pages and re-entering the same string for each algorithm, you can immediately see how the output length and format differ across all of them.
All computation happens entirely in your browser using JavaScript/WebAssembly, so neither the string you type nor the resulting hashes are ever sent to a server. BCrypt and Argon2id use a random salt on every run, so their output changes each time even for identical input — this is expected, correct behavior rather than a bug.
How to Compute Multiple Hashes at Once
- Enter your string Type the text you want to hash into the input field.
- Click "Compute All" This runs all seven algorithms at the same time.
- Compare the results Review the table to see how output length and format differ between algorithms.
- Copy the hash you need Use the copy button on any row to save that hash to your clipboard.
Tips for getting more out of it
- See all 7 hash outputs for the same input at once, without switching between algorithm-specific pages.
- MD5 and SHA-1 are fast but have weak collision resistance and are no longer recommended for password storage — use them only for lightweight tasks like file integrity checks.
- For password storage, BCrypt or Argon2id are the current recommendations because their computational cost can be tuned with a salt.
- Click the copy button next to any hash to quickly grab it for testing or documentation across multiple algorithms.
Common Use Cases
Verifying values from a legacy system
Check whether a hash stored by an old system using MD5 or SHA-1 matches a value recomputed by a newer implementation.
Choosing an algorithm for a new project
Compare real outputs side by side while deciding which algorithm best fits your security requirements.
Preparing several checksum formats at once
When a file distribution process asks for more than one hash format, get them all from a single input.
Teaching or learning cryptography basics
See how different algorithms transform the same input, making the practical differences between hash functions easy to grasp.
Glossary
- Salt
- A random value added to the input before hashing. It makes the same input produce a different hash every time, which defeats rainbow table attacks.
- Collision resistance
- How hard it is to find two different inputs that produce the same hash. MD5 and SHA-1 are considered weak here because practical collisions have already been demonstrated against them.
- Key stretching
- Deliberately repeating or slowing down the hashing process to make brute-force attacks harder. It is the core mechanism behind BCrypt and Argon2.
- Memory-hardness
- A property requiring a set amount of memory during computation, which raises resistance to parallel brute-force attacks on GPUs and ASICs. This is a defining feature of Argon2.
- Rainbow table
- A precomputed table mapping large numbers of plaintext values to their hashes, used to quickly reverse a hash back to its original string.
FAQ
Side Note — Why Different Hash Functions Suit Different Purposes
MD5, SHA-1, SHA-256, SHA-512, and SHA-3 all belong to the same family of cryptographic hash functions, but they were designed in different eras for different needs, resulting in very different security levels today. Practical collision attacks (deliberately crafting two different inputs that produce the same hash) have been demonstrated against MD5 (1992) and SHA-1 (1995), and both are now banned for digital certificates and signatures. SHA-256, SHA-512, and SHA-3 remain considered secure and are widely used in blockchains and TLS certificates, where strong guarantees matter.
However, even a "secure" hash function like SHA-256 is unsuitable for storing passwords. These functions are deliberately designed to compute quickly, which lets an attacker try billions of password guesses per second using brute force or precomputed rainbow tables. BCrypt and Argon2, by contrast, are deliberately slow, and their cost parameters (BCrypt's round count, Argon2's memory and iteration settings) can be increased over time to keep pace with faster hardware — a fundamentally different design goal.
Argon2 won the 2015 Password Hashing Competition and is distinguished by its "memory-hardness" — the ability to require a specified amount of memory during computation. Specialized hardware such as GPUs and ASICs excels at fast parallel arithmetic but has limited memory capacity, so a memory-intensive algorithm like Argon2 resists large-scale brute-force attacks better than BCrypt, which is why OWASP recommends it as the first choice.