Word aur Character Counter
Text paste karein aur ek live word counter paayein jisme characters, sentences, lines, byte size aur ek approximate token estimate ho. Sab kuch aapke browser mein chalta hai.
Aapka text counts banane ke liye locally aapke browser mein analyse hota hai aur kabhi upload nahi hota, isliye notes, drafts aur prompts aapke device par hi rehte hain.
Us text ko reshape karna hai? Case Converter try karein.
Word Counter ke baare mein
Yeh word counter aapko jaise hi aap typing shuru karte hain ya text paste karte hain, live statistics de deta hai. Ek word counter aur character counter ke roop mein yeh spaces ke saath aur bina spaces ke characters, words, sentences, paragraphs, lines, UTF-8 byte size, ek approximate LLM token estimate, aur lagbhag 200 words per minute par ek estimated reading time report karta hai. Character counts grapheme-aware hote hain, isliye ek emoji ya flag ek character ginaa jaata hai chahe woh kai bytes ka ho. Yeh ek meta description tight karne, ek tweet ya commit message fit karne, model ko bhejne se pehle ek prompt check karne, ya bas apne prose ko target par rakhne ke liye kaafi handy hai. Ek optional top-words frequency list bhi hai. Sab kuch locally aapke browser mein compute hota hai, isliye jo text aap paste karte hain woh aapke device par hi rehta hai aur kabhi upload nahi hota.
Features
- Type karte waqt live characters with spaces aur characters with no spaces
- Word, sentence, paragraph aur line counts instantly update hote hain
- UTF-8 byte size taaki aap payload aur storage limits check kar sakein
- ~characters / 4 heuristic se approximate LLM token estimate, approx label ke saath
- Lagbhag 200 words per minute par based reading time estimate
- Grapheme-aware counting taaki emoji aur combined glyphs ek character ginein
- Optional top-words frequency list jisme trivial stop words hata diye jaate hain
- Copy stats button har metric ka ek clean plaintext summary copy karta hai
Word Counter kaise use karein
- Apna text Text box mein paste ya type karein.
- Characters, words, sentences, lines, bytes, tokens aur reading time ke live stat cards padhein.
- Optional top-words list scan karein taaki dikhe kaun se terms sabse zyada repeat hote hain.
- Har metric ka plaintext summary lene ke liye Copy stats par click karein.
Example
Input
The quick brown fox jumps over the lazy dog. 🦊
Output
Characters (with spaces): 46
Characters (no spaces): 37
Words: 9
Sentences: 1
Lines: 1
Size (UTF-8): 48 bytes
Tokens (approx): ~12
Reading time: 1 min
Fox emoji ek character ginaa jaata hai lekin chaar UTF-8 bytes add karta hai.
Common errors aur troubleshooting
- Character count aapke type kiye letters ki sankhya se zyada lag raha hai. — Default count mein spaces, punctuation aur line breaks shaamil hote hain; sirf letters aur visible symbols ke liye doosra card, Characters (no spaces), dekhein.
- Ek emoji ya accented letter byte size ko character count se zyada badal deta hai. — Characters grapheme-aware ginae jaate hain jabki bytes UTF-8 hote hain, isliye ek emoji ek single character hai par chaar bytes; yeh expected behaviour hai.
- Token number aapke model ke tokenizer se bilkul match nahi karta. — Token figure ek approximation hai (lagbhag characters / 4) aur approx label hai; jab exact count zaroori ho to apne model ka asli tokenizer use karein.
- Box khaali nahi hai phir bhi word count zero hai. — Sirf spaces, tabs ya blank lines wale input mein koi words nahi hote; kuch visible text type karein aur counts turant update ho jaate hain.
Aksar pooche jaane wale sawaal
- Kya character count spaces aur line breaks shaamil karta hai?
- Main Characters card sab kuch ginta hai, spaces, punctuation aur line breaks samet. Ek alag Characters (no spaces) card saara whitespace hata deta hai taaki aap sirf letters aur visible symbols dekh sakein.
- Character count emoji aur accented letters ko kaise handle karta hai?
- Counting grapheme-aware hai aur jahan available ho wahan Intl.Segmenter use karti hai, isliye ek emoji, ek flag, ya combining accent wala letter ek single character ginaa jaata hai chahe woh kai UTF-8 bytes le.
- Approximate token count kis liye hai?
- Yeh ek quick estimate deta hai ki aapka text kitne LLM tokens use karta hai, lagbhag characters / 4 heuristic par based aur approx label ke saath. Yeh model ke context budget mein rehne ke liye useful hai, par model ke exact tokenizer ka substitute nahi hai.
- Reading time kaise calculate hota hai?
- Reading time word count ko lagbhag 200 words per minute se divide karke round up karta hai, isliye koi bhi non-empty text kam se kam ek minute dikhata hai. Yeh ek rough guide hai ki passage padhne mein kitna time lagega.
- Byte size character count se kaise alag hai?
- Byte size aapke text ki UTF-8 length hai, jise kai APIs aur databases limit karte hain. ASCII characters ek byte ke hote hain, accented letters aam taur par do, zyadatar CJK characters teen, aur emoji chaar, isliye bytes aksar character count se zyada hote hain.
- Jab main text count karta hoon to kya woh upload hota hai?
- Nahi. Word counter poori tarah aapke browser mein chalta hai, isliye jo text aap paste karte hain woh locally aapke device par process hota hai aur kabhi server par nahi bheja jaata.
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