EZ
EZ2Conv

Text Counter

Analyze text as you type with live counts of characters (with and without spaces), words, sentences, paragraphs, and lines. It also shows reading and speaking time, Unicode grapheme and code-point totals, UTF-8, UTF-16, and legacy encoding byte sizes, plus a Korean, emoji, and other-character breakdown.

Characters
0
Words
0
Reading Time
0m 0s
UTF-8 Size
0 bytes
14px
0/100000
Enter text to see analysis results automatically.

Basic Statistics

Characters0
Characters (no spaces)0
Words0
Sentences0
Lines0

Encoding Byte Sizes

UTF-80 bytes
UTF-160 bytes
UTF-320 bytes

Time Estimation

Reading Time0m 0s
Speaking Time0m 0s
Code Points0
Paragraphs0

Advanced Analysis

Unicode Analysis

Grapheme Clusters0
Code Points0
Code Units0

Legacy Encoding

Legacy Korean (EUC-KR)0 bytes
Japanese (Shift_JIS)0 bytes
Chinese Simplified (GB2312)0 bytes
Western European (ISO-8859-1)0 bytes

⚠️ Legacy encodings may not be accurate when non-native characters are included.

Character Composition

ASCII0
Latin-10
Korean0
Emoji0
Other Unicode0

How to Use

  1. Paste or type your text into the input area
  2. Get instant character, word, and paragraph counts automatically
  3. View detailed statistics including reading time, encoding bytes, and composition
  4. Use the analysis for content writing, social media posts, or document requirements

💡 Useful Tips

  • Real-time analysis updates as you type or paste text
  • Check character limits for social media platforms
  • Use reading time estimates for content planning
  • Monitor encoding bytes for technical text processing

Understanding Text Statistics and Character Counts

What this counter measures

Text Counter breaks a block of writing down into every metric that matters for length. As you type or paste, it tallies characters both with and without spaces, then words, sentences, paragraphs, and lines. Alongside those familiar counts it estimates reading and speaking time, and it reports the low-level details most tools skip: Unicode grapheme clusters, code points, and code units, plus the byte size of your text under UTF-8, UTF-16, and several legacy encodings.

A separate composition panel splits the characters by type — Korean, emoji, ASCII, and other Unicode — so you can see at a glance what your text is actually made of.

When these numbers matter

Character limits shape a surprising amount of writing. A tweet caps out at 280 characters, a meta description gets truncated in search results past roughly 160, and an SMS message splits into segments once it crosses 160. Essay and application fields often enforce a hard word or character ceiling. Watching the count climb while you edit is far easier than pasting into a form and being rejected.

Reading and speaking time estimates help with the other side of the problem — planning how long an article, script, or presentation will take an audience, rather than how much space it occupies.

A concrete example

Take the string 'Hello, world!'. It counts as 13 characters with spaces and 12 without, two words, one sentence, and one line. Now paste an emoji like 👨‍👩‍👧: on screen it looks like a single character and counts as one grapheme cluster, yet it is built from several code points joined together, which is why its code-point and byte totals run higher. Seeing both numbers explains why a 'one character' emoji can eat a large chunk of a strict byte limit.

Notes and edge cases

The gap between characters with and without spaces widens on heavily formatted text, so check which count a platform actually enforces — most social networks include spaces, while some legacy systems do not. Word counts rely on separators, which means CJK writing (Chinese, Japanese, Korean) without spaces is handled by script-aware rules rather than a naive space split. Sentence counts key off terminal punctuation, so abbreviations or ellipses can nudge the total. Byte size, finally, depends entirely on encoding: an accented or CJK character costs one code unit but several bytes in UTF-8, which is exactly what the encoding panel makes visible.

Frequently Asked Questions

Yes. You can analyze text of any length as often as you like and see every metric — from grapheme clusters to byte sizes — with no usage cap. No statistic is locked behind a paid tier, and there is nothing to subscribe to.
Every count is computed on the spot with JavaScript on your own device, so the text you paste — including confidential documents or unpublished drafts — is never uploaded to or stored on a server.
No. Analysis begins the moment you type or paste into the box, and the panel refreshes in real time. There is no email signup, login, or verification step at any point.
The tool applies Unicode rules to separate grapheme clusters (the characters you actually see) from code points and code units. A composed emoji shows as a single grapheme even though it combines several code points internally, which is why its byte total is larger.
The with-spaces count includes spaces, tabs, and line breaks; the without-spaces count drops them. Many platform limits count spaces, so it is worth comparing both figures before you publish.
Reading and speaking time are derived from the word count using an average pace, so you can predict roughly how long an article or script will run without reading it aloud.