Generators — QR code, password and MD5 hash

How to use Generator

Choose a tool: number, password, name or QR code. Set the options — the range for numbers, the length for a password, the text or link for a code. Press Generate. Press again for another result; every run is independent of the last.

More than a numbers generator

Random number generator — an integer between any two limits: 1 to 6 to settle dice arguments, 1 to 100 for games, four digits when you need a quick code. Password generator — pick the length and the character sets, get something no one will guess and you will not remember either, which is what password managers are for.

Random name generator — raffles, secret Santa draws, deciding who does the dishes. There is also a wheel to spin when the loser deserves to watch it happen. QR code generator — turn a link or a piece of text into a scannable square in a second.

Honest randomness, no code required

You do not need Python to get a random integer, and you do not need the Google random number generator that pops up in search results — the one here does the same job in the same tab as the rest of your tools, with the range fields in plain sight.

One thing any random number generator website owes you is honesty about what random means: every digit is drawn fresh, with no memory of the last draw. A tool that hints a number is "due" is selling superstition, not mathematics.

Randomness has no memory. The wheel does not owe you a win just because you lost the last three spins.

Passwords, names, and everything else worth randomizing

The password generator builds strings from length and character-set rules — length matters far more than symbol exotica. The random name generator invents plausible names for characters, test data, or a project that deserves better than "untitled-7".

The picker takes a pasted list and pulls one entry — teams use it for standup order, teachers for cold-calling. Different outputs, same engine: a fair draw from a defined set. Choose the tool by what you need the set to contain.

Where generators stop being appropriate

A generator is the wrong tool when the output needs to be meaningful rather than merely valid. Placeholder text that ships to real users, sample data that gets mistaken for real records, and content generated to fill space rather than to say something all cause more trouble than the effort they saved.

The failure mode is specific: generated filler is designed to look plausible, so it passes casual inspection indefinitely. It gets discovered when someone tries to use it for something, which is usually much later and much more expensive than catching it at the start. If output is going anywhere a person will act on, it needs a human decision behind it — not just a rule that produced something well-formed.