Calculation Result
Wordlist Size Calculator
Example Data Table
| Case | Mode | Input Size | Length | Estimated Entries | Use Case |
|---|---|---|---|---|---|
| Lowercase | Charset | 26 characters | 4 to 8 | 217,180,147,120 | Simple token modeling |
| Dice Style | Dictionary | 7,776 words | 4 words | 3,656,158,440,062,976 | Passphrase planning |
| Research List | Custom | 250 tokens | 3 tokens | 15,625,000 | Controlled data testing |
Formula Used
For charset mode, total entries are found with this sum: N = cLmin + cLmin+1 + ... + cLmax. Here, c is charset size. Length values define the entry range.
For dictionary mode, the formula is: N = dw. Here, d is dictionary word count. The value w is words per entry.
Entropy is calculated as: H = log2(N). Storage is estimated as: S = N × bytes per entry ÷ compression ratio. Scan time is: T = N ÷ rate. Energy is: E = watts × hours ÷ 1000.
How To Use This Calculator
- Select charset, dictionary, or custom list mode.
- Enter the length range or words per entry.
- Add storage settings, scan rate, and power use.
- Press the calculate button to view the result.
- Use CSV or PDF export for reports.
Wordlist Size In Physics And Data Modeling
Why Size Matters
A wordlist size calculator helps estimate how fast combinations grow. This growth is useful in physics style modeling. Many systems use state spaces. Each possible word, token, or symbol sequence acts like a state. When length increases, the state count rises sharply. That rise is usually exponential. Small input changes can create huge output changes. The calculator shows that behavior with clear numbers.
Combinatorial Growth
Charset mode studies symbol based lists. A charset may include letters, digits, or signs. Each extra character multiplies the count. Dictionary mode studies word based entries. It is useful for phrase models. Custom mode works with pasted tokens. It can model lab labels, sample codes, or test words. The same idea appears in statistical physics. More states mean more possible arrangements.
Entropy Meaning
Entropy measures uncertainty in bits. Higher entropy means more possible states. The calculator converts entry count into entropy. This gives a compact strength measure. It also helps compare different designs. A short list with many symbols may beat a longer weak list. A dictionary phrase can also become large quickly. The result depends on count, length, and structure.
Storage And Time
Large lists need storage. Each entry uses characters, separators, and line endings. Compression can reduce the final file size. Scan time depends on processing rate. A faster rate reduces time. Power use connects time to energy. This brings a physical cost into the estimate. The tool reports energy in kilowatt hours. It can also estimate the operating cost.
Practical Use
Use this calculator for planning and research. It supports quick comparisons. It can show when a list is too large. It can also show when storage becomes unrealistic. The results are estimates. Real systems have overhead. Encoding, memory, hardware, and software can change outcomes. Still, the model gives a strong starting point. It is useful for controlled analysis.
FAQs
1. What is a wordlist size calculator?
It estimates how many entries a wordlist can contain. It also estimates entropy, file size, scan time, energy use, and cost from the provided inputs.
2. Why is this calculator listed under physics?
It models state growth, entropy, energy, and processing time. These ideas are common in physics, data modeling, and computational analysis.
3. What does charset size mean?
Charset size is the number of allowed symbols. For lowercase English letters, the charset size is 26. Digits add 10 more symbols.
4. What does entropy show?
Entropy shows uncertainty in bits. A higher entropy value means more possible combinations and a larger search space.
5. How is storage estimated?
Storage is estimated from entry count, average entry length, character bytes, line endings, and compression ratio. It is an approximate planning value.
6. What is scan rate?
Scan rate is the number of entries processed per second. Higher scan rates reduce total time, but hardware and software limits still matter.
7. Can I use a custom word list?
Yes. Select custom mode and paste one token per line. The calculator counts unique nonempty lines and builds combinations from them.
8. Are the results exact?
The combination count is mathematical. Storage, energy, and cost are estimates because real files and machines may have extra overhead.