Text Character Frequency Counter | Count Every Character in Your Text

Scan any pasted text one character at a time and see how often each one appears, plus its share of the total. Toggle case sensitivity, skip whitespace, sort by frequency or code point, and view the top characters as a bar chart.

💡 About this tool

Counting characters by hand stops being practical the moment your text grows past a sentence. Writers checking the texture of their prose, developers profiling a data dump, students learning frequency analysis, and font designers auditing which glyphs a sample actually uses all run into the same need: a fast per-character tally.

This counter walks through your text character by character and shows the count, the percentage of the total, and a bar chart of the most common characters all at once. Two checkboxes let you decide whether A and a count as the same letter and whether spaces, tabs, and newlines are included. Sorting by frequency surfaces the heaviest characters first, while code-point order lets you confirm exactly which distinct characters appear. Everything runs in your browser, so even long passages stay responsive.

🧐 Frequently Asked Questions

Does it count emoji and non-Latin characters? Yes. The tool iterates over Unicode code points, so accented letters, CJK characters, and emoji are each counted as their own character.

How are spaces and line breaks handled? "Ignore whitespace" is on by default, so spaces, tabs, and newlines are excluded. Turn it off and they are counted, with newlines shown as \n and tabs as \t.

Can I keep uppercase and lowercase separate? Enable "Case sensitive" to count A and a as distinct characters. With it off, everything is lowercased before counting.

What is the percentage based on? It is the share of the total counted characters. If whitespace is ignored, that total excludes spaces, so the percentages reflect only the visible characters.

📚 Why character frequency matters

Letters do not appear at random in natural language. In typical English text, the letter e shows up far more often than any other, while letters like q, z, and x are rare. That predictable skew is the foundation of frequency analysis, the classic technique for breaking simple substitution ciphers: match the most common symbol in a coded message to the most common letter in the language and the plaintext starts to reveal itself. The same statistics also guided the layout of early keyboards and the dot-dash lengths of Morse code, where common letters were given the shortest signals.