Password Entropy Estimator
Calculate how many bits of entropy a password scheme provides and how long brute-forcing it would take.
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What does the Password Entropy Estimator do?
Entropy measures unpredictability. For randomly generated passwords, entropy H = L × log₂(N), where L is the length and N the number of possible symbols. A 12-character password from all 94 printable ASCII characters has about 78.7 bits; a 6-word passphrase from the 7,776-word Diceware list has about 77.5 bits.
Set the attacker’s guess rate to see what the numbers mean in practice: about 10 billion guesses per second for a GPU rig against a fast hash, thousands for a slow hash like bcrypt, or a handful per minute for a rate-limited login.
How to use the Password Entropy Estimator
- Choose “Calculate from settings” and enter length and character set — or “Estimate from a password”.
- Set the attacker’s guesses per second.
- Read the entropy, combinations and crack times.
Examples
Comparison
8 lowercase letters ≈ 37.6 bits (minutes offline); 16 mixed characters from 94 ≈ 104.9 bits (practically uncrackable).
Common use cases
- Designing password policies
- Comparing passwords and passphrases
- Security training and coursework
Features and benefits
- Private by design — your data is processed on your device and never uploaded.
- Free with no account, no watermark and no usage limits.
- Works on phones, tablets and desktops in any modern browser.
Limitations to know
- The formula assumes truly random choices. Human-chosen passwords have far less entropy than the formula suggests.
Helpful guides
Frequently asked questions
How many bits are enough?
Around 70–80 bits is strong for most accounts; 100+ bits for high-value secrets.
Why does a word count as one symbol?
For random passphrases, each word is chosen from a list, so entropy per word is log₂(list size).
Is the password sent anywhere?
No, calculation is local.
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