Deal one or more playing cards from a fairly shuffled standard 52-card deck — handy for card games when you have no physical deck, for teaching probability, or for making a quick random decision. Draw a single card or a whole hand, all in your browser.
How it works
Each draw starts from a complete, ordered 52-card deck (4 suits × 13 ranks). The tool shuffles it with an unbiased Fisher–Yates algorithm: stepping from the last card down to the first, it swaps each card with one at a randomly chosen index between 0 and the current position. The random indices come from the browser’s Web Crypto API (crypto.getRandomValues), which is a cryptographically strong source, so every permutation of the deck is equally likely and no ordering is favoured.
After shuffling, the tool deals the number of cards you requested off the top. Because it draws without replacement from a single shuffled deck, the cards in any one draw are always distinct — you can never get two identical cards in the same hand.
Example
Request 5 cards. The tool shuffles a fresh deck and deals the top five, for instance:
A♠ · K♥ · 7♦ · 7♣ · 2♥
Note the two sevens are different suits — distinct cards, no duplicates. Red suits (hearts and diamonds) are coloured for readability.
| Setting | Range |
|---|---|
| Cards per draw | 1 to 52 |
| Suits | ♠ ♥ ♦ ♣ |
| Ranks per suit | A, 2–10, J, Q, K |
Common uses
Card games without a physical deck. Draw a hand of 5 for poker practice, 7 for gin rummy, or 13 for bridge. Because the draws are made from a single fair shuffle, the statistical properties are identical to a real deck.
Probability teaching. Drawing cards is a natural way to explore combinatorics and conditional probability. What is the chance the first card is an ace? (4 in 52 = 1 in 13.) What is the chance of drawing two cards of the same suit? Draw repeatedly and track outcomes to build intuition alongside the calculation.
Random decision-making. Assign choices to card values and draw one. Suits can encode categories, ranks can encode options within a category. A fair random draw avoids the bias that comes from choosing mentally or flipping a mental coin.
Magic and card trick practice. Asking a computer to deal a specific hand lets you practice the mechanics of a trick (dealing from the top, controlling a card position) without a physical deck.
Why Web Crypto matters here
A common mistake in browser-based randomness is relying on Math.random(), which uses a deterministic pseudo-random number generator that is not designed to be unpredictable. For most games and teaching purposes this is fine, but for anything where predictability would be a problem — gambling practice where fairness matters, or shuffles you want to trust are genuinely unbiased — crypto.getRandomValues is the correct choice. This tool uses it when available, which covers all modern browsers.
The deck is shuffled and dealt entirely in your browser — nothing is uploaded.