Excel Data Cleaner

Excel ya CSV file kholein, jo clean-up steps chahiye woh on karein, aur download se pehle dekhein ki kaun se cells aur rows badle — sab aapke device par.

Excel Data Cleaner aapki spreadsheet ko aapke browser mein padhta aur saaf karta hai. File, uski contents aur cleaned result aapke device par hi rehte hain aur kabhi upload nahi hote.

Banaya aur maintain kiya: Udit Agarwal

Excel to CSV se sheet convert karein

Excel Data Cleaner ke baare mein

Ganda spreadsheet lookups, pivot tables aur imports ko kuch gine-chune wajahon se tod deta hai: bhatke hue spaces, chhupe hue characters, blank rows, duplicate records, paanch alag formats ki dates aur text ke roop mein rakhe numbers. Excel Data Cleaner ek workbook ya CSV kholta hai aur aapko fixes ko order mein lage steps ki tarah stack karne deta hai — trim, hidden characters hatana, blank rows aur columns hatana, chune hue key columns par de-duplicate, case badalna, dates standardise karna (Excel serial numbers samet), text ko numbers mein badalna, find and replace, blanks bharna, columns split aur merge karna, aur headers saaf karna. Har step dikhata hai ki usne kitne cells ya rows badle, before-and-after sample ke saath, aur badle hue cells live preview mein highlight hote hain. Aapki original file ko kabhi chhua nahi jaata, aur kuch upload nahi hota.

Features

  • Solah reorderable cleaning steps jinhe on-off kar sakte hain, har ek ki live counts ke saath
  • Har step ke pehle badlavon ke before aur after examples, aur preview mein highlighted cells
  • Poori row ya chune hue key columns par duplicate removal, pehla ya aakhri match rakhte hue
  • Date standardising jo mixed formats aur Excel serial numbers padhti hai, day-first ya month-first setting ke saath
  • Currency symbols, thousands separators, parentheses wale negatives aur 1.234,56 style values ke liye text-to-number conversion
  • Leading zeros aur lambe ID numbers text rehte hain taaki zip codes aur account numbers bache rahein
  • Optional regular expressions ke saath find and replace, fill-down, split, merge aur header tidying
  • Cleaned sheet ko .xlsx ya CSV mein download karein, saath mein badlavon ki copy karne layak report

Excel Data Cleaner kaise use karein

  1. Ek .xlsx, .xls, .csv ya .tsv file drop karein, ya sample sheet aazmayein, aur sheet aur header row chunein
  2. Jo steps chahiye unhe on karein, har ek ko sahi columns par point karein aur unhe samajhdaar order mein rakhein
  3. Counts, before aur after examples aur highlighted preview check karein
  4. Cleaned .xlsx ya CSV download karein aur record chahiye to change report copy karein

Example

Input

Name:   '  alice  JOHNSON '   Email: 'ALICE@Example.com '
Date:   '03/04/2025'            Amount: '$1,200.00'
(the same row appears twice)

Output

Name:   'Alice Johnson'   Email: 'alice@example.com'
Date:   '2025-04-03'      Amount: 1200 (a real number)
Duplicate row removed: 1 of 6 data rows

Steps order mein chale: trim, duplicates hatana, title case, email, date (day first) aur text to number.

Common errors aur troubleshooting

  • Ek duplicate row hata nahi. — Rows tabhi match hoti hain jab trimming ke baad har compare kiya gaya cell ek jaisa ho. Trim step ko duplicate step se pehle rakhein, Ignore upper/lower case on karein, ya sirf email address jaise key columns chunein.
  • Dates mein din aur mahina ulat gaye. — 03/04/2025 jaisi value do tarah padhi ja sakti hai. Date step ki ambiguity setting ko Day first aur Month first ke beech badlein; 13/04/2025 jaisi values hamesha sahi padhi jaati hain.
  • Kuch numbers text hi reh gaye. — Leading zeros wale IDs aur 15 digits se lambi strings jaanbujhkar text rakhi jaati hain. Agar sach mein inhe convert karna ho to Keep IDs like 00123 as text off karein, aur chhooti hui values ke liye step ke neeche wala note dekhein.
  • Hidden-character step se ek blank row gayab nahi hui. — Order maayne rakhta hai. Remove hidden characters ko Remove blank rows se upar le jaayein taaki sirf invisible characters wale cells blank rows check hone tak khaali ho chuke hon.

Aksar pooche jaane wale sawaal

Excel Data Cleaner kaise tay karta hai ki koi row duplicate hai?
Yeh spaces trim karne ke baad aapke chune columns se, ya koi na chuna ho to har column se, ek key banata hai. Ek jaisi key wali rows duplicates hoti hain; aap chunte hain ki pehli rakhni hai ya aakhri, aur case maayne rakhta hai ya nahi.
Kya Excel Data Cleaner alag-alag formats mein aayi dates ko standardise kar sakta hai?
Haan. Date step ISO dates, day-month-year aur month-day-year numbers, 5 Jan 2025 jaise month names, 20250105 jaisi compact values aur 45000 jaise Excel serial numbers padhta hai, phir aapka chuna ek format text ya asli date cells ke roop mein likhta hai.
Kya Excel Data Cleaner mera original workbook badal dega?
Nahi. Jo file aap kholte hain use sirf padha jaata hai. Cleaning memory mein ek copy par hoti hai aur aap ek naya .xlsx ya CSV download karte hain, isliye original bilkul waisa hi rehta hai.
Excel file clean karte waqt formulas aur formatting ka kya hota hai?
Formulas ko unki aakhri calculate hui values ke roop mein padha jaata hai aur plain values ke roop mein wapas likha jaata hai, aur cell styling, merged cells aur charts saath nahi aate. Download ek saaf data sheet hoti hai, original layout ki copy nahi.
Excel Data Cleaner ke kuch steps ko column chunna kyun padta hai?
Case, dates, numbers aur split jaise steps ko jaanna hota hai ki kahan kaam karna hai, isliye aap chips se columns chunte hain. Selection ko All columns par chhodne se step har jagah lagta hai, jabki split aur merge khaas columns maangte hain.
Kya main Excel Data Cleaner mein badi spreadsheet clean kar sakta hoon?
Haan, jitna aapka browser memory mein sambhaal sake. Dus hazaaron rows aaraam se sambhal jaati hain, lekin page chalta rahe isliye preview sirf pehli 50 rows dikhata hai.

Related tools

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  • JSON se CSV — Flat JSON objects ke array ko CSV mein convert karein.
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  • CSV to Markdown Table — CSV ya TSV ko ek GitHub-flavored Markdown table mein badlein
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