Letter Frequency Counter
Count how often each letter A through Z appears in any text. See the full histogram, top and bottom letters, and compare against the English baseline in your browser.
How to use the letter frequency counter
1. Paste or type your text
Drop a paragraph, essay, cipher, or whole document into the text box. Plain text, copy from Word, Google Docs, or email all work. Counting starts the moment you type. If you only need the running total of every character (not the per-letter breakdown), use our simpler character counter instead.
2. Read the histogram
The A to Z bars below the input show how many times each letter appears. Bar width is proportional to count, so the tallest bar is your most frequent letter. The number next to each bar is the raw count; the small number underneath is the percentage of total letters.
3. Check top and bottom
The sidebar lists the five most frequent letters and the five least frequent. In normal English the top five almost always include E, T, A, O, and N. Big surprises (top letter is not E, or J ranks high) often signal a cipher, a code, or an unusual genre.
4. Tune the options
Switch on case-sensitive to count uppercase and lowercase separately. Add digits or punctuation to see the full character profile. Turn on Compare to English baseline to overlay the reference markers (E 12.7 percent, T 9.06 percent, and so on) on the histogram.
When you need a letter frequency counter
Caesar cipher and substitution cipher cracking
Frequency analysis is the first move when you face a Caesar cipher or any simple substitution code. The shift hides which letter is which, but it does not change the shape of the distribution. Find the most common letter in the ciphertext, assume it maps to E, and read off the shift. Cross-check by looking at T, A, and O. If the top letters in the ciphertext line up with the baseline after a single offset, you have cracked it.
Language identification
Every language has a different fingerprint. English leans on E, T, A, O. German pushes E and N higher and adds heavy use of S and R. Spanish has high E and A, plus a noticeable spike in O and S. If you have unknown text in the Latin alphabet, a quick letter count narrows the language to two or three candidates in seconds.
Scrabble and word-game strategy
Letter frequency points at the tiles you will see most often. Vowels (E, A, I, O) and common consonants (T, N, R, S) come up early and fit into long words. Rare letters (Q, Z, J, X) are worth more points but harder to play. Knowing the shape helps you decide whether to dump a Q on a triple-letter or hold for a U. To stress-test your intuition, seed a batch of strings with our random letter generator and run them through the histogram.
ESL writing exercises
Second-language learners often overuse a small set of common words, which pushes their letter profile away from a native baseline. Running a writing sample through the counter and comparing the histogram against the English reference is a concrete, visual way to spot vocabulary narrowness. A flat profile with low E, T, A counts usually means simple vocabulary; a sharp spike in unusual letters usually means borrowed words. For assignments measured in word-count targets, pair this with our essay word counter.
Document fingerprinting and plagiarism checks
Letter frequency does not catch plagiarism on its own, but a sudden shift in profile inside a single document can flag a passage that came from somewhere else. Editors sometimes use letter histograms to test whether two sections of a long manuscript were written by the same person.
English letter frequency baseline
The English baseline is the average rate at which each letter appears in a large sample of general English prose. The exact numbers shift a little depending on the corpus (Wikipedia, news, novels, technical writing all differ slightly), but the top of the ranking is rock-solid. The classic phrase ETAOIN SHRDLU lists the top twelve letters in order.
| Rank | Letter | Frequency | Where you see it |
|---|---|---|---|
| 1 | E | 12.70% | the, he, she, we, me, be, see, -ed, -es, -er endings |
| 2 | T | 9.06% | the, that, this, to, it, -ation, -ment, past tense -t |
| 3 | A | 8.17% | a, an, and, as, at, -al, -ar, common stem vowel |
| 4 | O | 7.51% | of, on, or, so, to (some accents), -tion, -ous |
| 5 | I | 6.97% | I, in, is, it, -ing, -tion, -ity |
| 6 | N | 6.75% | in, on, an, and, -ing, -ion, -ent, -ant |
| 7 | S | 6.33% | is, as, his, has, plural -s, possessive -s |
| 8 | H | 6.09% | the, he, she, his, her, this, that, then |
| 9 | R | 5.99% | are, for, our, your, -er, -or, -ary, -ory |
| 10 | D | 4.25% | and, had, said, did, do, past tense -ed |
For short text (under 200 letters), random variance is high and your histogram may not match the baseline. The shape stabilizes quickly: by 500 letters you should see the top six letters in roughly the right order, and by 1,000 letters each letter is usually within 1 to 2 percentage points of the baseline. If your text is long and still drifts far from the reference, that is itself a signal worth a second look.
Related tools
Frequently asked questions
How does letter frequency help with Caesar ciphers?
A Caesar cipher shifts every letter by a fixed amount. The shift preserves the frequency shape, so the most common letter in the ciphertext almost always maps to E. Count letters in the ciphertext, find the top letter, subtract its position from E, and apply that shift to every letter to recover the plaintext. Confirm by checking that T, A, and O land in the right order.
Why is E the most common letter in English?
E sits at 12.7 percent of typical English text. It appears in countless high-frequency words (the, he, she, we, me, be, see) and in common suffixes (-ed, -es, -er, -ence, -ment). T, A, O, I, N follow because they are the building blocks of articles, pronouns, and verb endings. The pattern is so stable that cryptographers have used it for centuries to break ciphers.
How accurate is the E-T-A-O-I-N baseline?
The baseline shown here (E 12.7, T 9.06, A 8.17, O 7.51, I 6.97, N 6.75) comes from a large sample of general English prose. Technical writing, dialogue, and poetry can shift the order a little. For short text under 200 letters the random variance is high. Long text of 1,000 letters or more tends to match the baseline within 1 to 2 percentage points per letter.
Can I use this for languages other than English?
The counter works on any text that uses the A to Z alphabet, but the baseline overlay only applies to English. French, German, Spanish, Italian, and Portuguese each have different frequency profiles. The histogram and rank lists are still useful for any language; only the baseline marker is English-specific.
Does the counter handle accented letters?
Accented letters (a-acute, e-acute, n-tilde, c-cedilla) are folded to their base letter before counting. So cafe and café both add one to the E count. This keeps the counter friendly for English text with loanwords. Turn on case-sensitive mode if you want to track exact characters instead.
What does case-sensitive mode do?
By default the counter treats A and a as the same letter. Switch on case-sensitive mode to count uppercase and lowercase separately. You will see up to 52 rows instead of 26. This is useful for codebreaking puzzles where case carries meaning, or for analyzing capitalization habits in a draft.
How is this useful for Scrabble?
Letter frequency points at the tiles you will draw most often. Vowels (E, A, I, O) and common consonants (T, N, R, S) come up early and fit into long words; rare letters (Q, Z, J, X) are worth more points but harder to play. Knowing the shape helps you decide whether to dump a Q on a triple-letter or hold for a U.
I'm analyzing draft passwords and cipher samples for character distribution. Does any of it leave my machine?
No. The frequency tally is computed in JavaScript on your device. The input string and the per-letter counts are never sent over the network or saved to a log.
More wordcounter.ai tools
Other tools you might find useful.