For Students · Huffman Coding
Huffman Coding for a Merkle tree
Built for students learning it for a class or exam. See the concept move instead of memorizing formulas — and check your homework intuition. Simulate a Merkle tree live below — adjust the inputs and watch it respond, right in your browser.
Huffman CodingLive
optimal lossless compression
Codebook (shorter = more frequent)
a
×5
0
1 bit
c
×1
100
3 bit
d
×1
101
3 bit
b
×2
110
3 bit
r
×2
111
3 bit
Controls
Huffman coding gives frequent symbols short codes and rare ones long codes, minimizing the total bits — the optimal prefix code. It builds a tree by repeatedly merging the two least frequent nodes, so no code is a prefix of another and decoding is unambiguous. It is the compression step inside ZIP, JPEG, MP3, and countless file formats.
Data Inspector
Symbols5
Huffman bits23
Fixed-length bits33
Compression70%
Governing equation
Reading this result: Huffman packs this text into 23 bits versus 33 fixed-length — a 30% saving, earned by giving the most frequent symbol (a, ×5) the shortest code.
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Frequently asked questions
- Is this good for students?
- Yes — this version of "Huffman Coding for a Merkle tree" is framed for students learning it for a class or exam. See the concept move instead of memorizing formulas — and check your homework intuition.
- Do I need to install anything?
- No. It runs in any modern browser, free, with no account required.